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Best Doctorates in Network Engineering: Top PhD Programs, Career Paths, and Salaries

Technology has advanced significantly and become a huge part of our lives in recent years. The demand for workers with information technology (IT) skills continues to increase daily. Getting one of the best PhDs in Network Engineering is an excellent way to become an expert in this growing field.

A network engineering PhD will put you at the top of the industry and open the door to higher salaries and career options. This article will give you information on how to get a PhD in Network Engineering and which PhD programs are the best for your educational path. You will also learn other important details like the highest-paying network engineering jobs and their salaries.

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What is a phd in network engineering.

A PhD in Network Engineering is a postgraduate academic research degree earned after completing original research in a chosen specification. It is the highest academic achievement that prospective students can get, and it typically takes four to six years to complete, depending on different factors. This degree can set you up for a myriad of opportunities in the industry.

How to Get Into a Network Engineering PhD Program: Admission Requirements

The admission requirements to get into a network engineering PhD program are an online application, a bachelor’s or master’s degree , a GPA of 3.0 on a 4.0 scale, GRE scores, three letters of recommendation, official or unofficial transcripts, statement of purpose, and a current resume/CV. These admission requirements are the standard for most programs.

Some programs may request only a select few of these admission requirements, while others may request all and even more. Some degrees require students to have a master’s degree before the PhD program, while others accept a bachelor’s degree in any relevant field of study.

PhD in Network Engineering Admission Requirements

• Graduate application
• Application fee
• Bachelor’s degree or master’s degree in relevant field
• Official transcripts
• Statement of purpose/personal essay/letter of intent
• Three letters of recommendation
• Current resume/CV

Network Engineering PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Network Engineering?

It is not very hard to get into a PhD program in network engineering, especially if you have a degree in a relevant technology field. Students with a Bachelor’s Degree in Network Engineering or a Master’s Degree in Computer Science, Computer Engineering, or IT and good academic standing are more likely to get into a program. Some schools will also consider those with a degree in other fields.

How to Get Into the Best Universities

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Best PhDs in Network Engineering: In Brief

Best universities for network engineering phds: where to get a phd in network engineering.

The best universities for network engineering PhDs are Arizona State University, Carnegie Mellon University, DePaul University, Drexel University, Oregon State University, Syracuse University, University of California, Berkeley, University of Michigan-Dearborn, University of Minnesota, and the University of Texas, San Antonio.

If you’re wondering where to get a PhD in Network Engineering, these schools offer high-quality academic, research, and teaching experience. They offer broad and in-depth curricula and have experienced faculty to instill adequate knowledge and skills in students. Below is more information on each school and program.

Arizona State University is a public research university founded in 1885. It is one of the largest universities in the US by enrollment, with a total of 135,729 students. It offers over 400 undergraduate degrees and over 450 graduate degrees online and in person. The school is ranked sixth in the US for research expenditures among universities without a medical school.

PhD in Computer Engineering (Computer Systems)

This program is designed for students who are skilled in math and physical science. It will give them an in-depth knowledge of engineering principles and prepare them for a career in research, academia, or entrepreneurial innovation. Its core courses cover algorithms and random signal theory.

PhD in Computer Engineering (Computer Systems) Overview

• Program Length: N/A
• Acceptance Rate: N/A
• Tuition and Fees: $1,100/credit hour (in state), $1,603/credit (out of state)
• PhD Funding Opportunities: Federal work study, grants, hourly employment, scholarships, and loans

PhD in Computer Engineering (Computer Systems) Admission Requirements

• Admission application
• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related fields
• Personal statement
• 3.0 GPA 

Carnegie Mellon University is a private research institution established in 1900. It has campuses across the globe and offers various degrees through seven schools and colleges, including interdisciplinary programs from undergraduate to graduate level. The school offers many resources to help make students' college experience easier and prepare them for their careers.

PhD in Electrical and Computer Engineering

This program is offered in Pittsburgh, Portugal, Thailand, and Washington, DC. It is a research-intensive program that covers the fundamental principles of electrical and computer engineering. Students can join the program directly with a bachelor's or master's degree. The program covers algorithms, artificial intelligence, software systems, and computer networking.  

PhD in Electrical and Computer Engineering Overview

• Program Length: 6 years or 17 semesters
• Tuition and Fees: $644/unit
• PhD Funding Opportunities: Research assistantships, fellowships, hourly employment, or stipend

PhD in Electrical and Computer Engineering Admission Requirements

• Online admission application
• Statement of purpose
• Three recommendation letters
• Transcripts

DePaul University is a private Catholic institution founded in 1898 by the Vincentians. It is the largest Catholic university in the country, with over 21,670 students. It offers over 130 undergraduate programs and over 175 graduate programs through 10 colleges and schools. The academic year at DePaul is in four quarters, one for each season.  

PhD in Computer and Information Sciences

This program is a research-intensive computer science program. It is offered in two tracks, computing and information systems. The computing track is best for those who want to pursue a career in network engineering.

The computing track covers programming languages, software engineering, artificial intelligence, networking, data analysis, and systems. The information systems track covers ecommerce, human-computer interaction, IT project management, and IS analysis and design. 

PhD in Computer and Information Sciences Overview

• Program Length: Three to five years
• Tuition and Fees: $900/credit hour
• PhD Funding Opportunities: Assistantships, stipends, scholarships, and grants

PhD in Computer and Information Sciences Admission Requirements

• Bachelor's or Master's Degree in Computer Science or related field
• Online application 
• Official transcript
• Official GRE score report
• PhD addendum form

Drexel University is a private research university founded in 1891. It has three campuses with a total enrollment of 23,217 students, 8,850 of which are graduate and professional students. It offers over 200 degree programs through 15 schools and colleges. 

The school offers a professional employment experience for students through the Drexel co-op to give them the opportunity to test drive a career before joining the workforce. Co-op employers give 44.9 percent of co-op participants a job offer after the program.

PhD in Computer Science

This program is designed to prepare students for careers in research and education in computer science and related fields. To earn this degree, students must complete four milestones. These milestones consist of qualifying for the course, passing a candidacy exam, proposing a thesis, and defending a thesis. 

This program includes breadth and depth requirements covering courses on data structures and algorithms, artificial intelligence, machine learning, data analysis, programming languages, computer networks, and security engineering.

PhD in Computer Science Overview

• Program Length: Two years
• Tuition and Fees: $1,342/credit hour
• PhD Funding Opportunities: Scholarships, student loans, private scholarships, or a tuition discount

PhD in Computer Science Admission Requirements

• Graduate application 
• Two letters of recommendation
• Essay/statement of purpose
• Current resume
• Course prerequisites

Oregon State University is a public land-grant university established in 1868. It is one of the three land, sea, space, and sun grant universities in the US. It offers over 200 academic programs through 11 colleges on two campuses. 

It also has extension programs in 36 counties. It has a total of 34,108 students with 5,833 graduate students and a student-to-faculty ratio of 18:1. It has $383.9 million in research funding, more than any public university in Oregon.  

To earn this degree, students must complete a qualifying exam and demonstrate the ability to conduct independent research. The program requires a total of 108 credits, of which 36 are for total coursework, 36-60 credits are for thesis or project, and 0-15 are for blanket credits. 

The program offers courses on artificial intelligence, computer systems, programming languages, software engineering, and human-computer interaction. Its research areas include electronic materials and devices, energy systems, networking and computer systems, health engineering, and integrated electronics. 

• Program Length: Two to three years (full-time study)
• Tuition and Fees: $557/credit hour (in state), $1,105/credit hour (out of state)
• PhD Funding Opportunities: Outstanding Scholars Program (stipends)
• Statement of objectives
• Academic history

Syracuse University is a private research university founded by the Methodist Episcopal Church in 1870. The school offers over 200 customizable majors and more than 100 minors through 13 schools and colleges. It also offers interdisciplinary programs with hands-on research opportunities. It has around 22,000 students and over 6,000 graduate students.

PhD in Computer and Information Science and Engineering

This program is designed to make students independent professional researchers who can effectively communicate their ideas. Students can specialize in computer and information science and engineering or electrical and computer engineering. 

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The programs are designed to meet each student's individual needs. Students will work on coursework, examinations, presentations, and a dissertation throughout the program. They must complete a minimum of 48 credits of technical graduate courses.

PhD in Computer and Information Science and Engineering Overview

• Program Length: Five years (time limit)
• Acceptance Rate: 45 percent
• Tuition and Fees: $33,358/year
• PhD Funding Opportunities: Stipends and scholarships

PhD in Computer and Information Science and Engineering Admission Requirements

• Bachelor’s or Master's Degree in Computer Engineering, Computer and Information Science, or a related field
• Online application

The University of California-Berkeley is a public land-grant research university established in 1868. It is ranked as the best public university in the world and offers over 350 degree programs. This institution is renowned and respected for many reasons, including the 32 Noble prizes its alumni hold.

This program is designed to equip students with research skills and teaching experience. It offers 21 research areas for students to specialize in. These include artificial intelligence, database management systems, education, graphics, human-computer interaction, operating systems and networking, programming systems, scientific computing, security, and theory. 

Students looking to pursue a career in network engineering can focus on the operating systems and networking program. This program covers Internet architecture, security, distributed systems, operating systems, network economics, and network measurement.

• Program Length: Five to six years (with bachelor’s), three to five years (with master’s)
• Acceptance Rate: 5.1 percent
• Tuition and Fees: $10,248.75/semester (in state), $17,799.75/semester (out of state)
• PhD Funding Opportunities: Graduate research appointment, campus fellowships, and teaching assistantships
• Bachelor's or master's degree in a relevant field
• Personal history statement
• Unofficial transcripts
• GPA (3.0 minimum)

University of Michigan-Dearborn is a public institution founded in 1959. It is a regional university operating under the policies of the University of Michigan Board of Regents. It offers over 100 major programs, 70 minor programs, 60 graduate programs and certificates, and six doctoral programs. 

It has a total of 8,331 students, with 1,845 graduate and 131 doctoral students. It has a student-to-faculty ratio of 16:1 and an average class size of 25 students. US News and World Report ’s school rankings list UM-Dearborn as one of the best regional universities in the Midwest.

PhD in Computer and Information Science

This program provides students with research opportunities, engineering practice, and continuing professional education. It is designed for students with career goals in academia, research, and development. Students of this program will learn to conduct original research and develop innovative technologies in the computer and information science field. 

The program offers concentrations in data management, data science, systems and security, and software engineering. Students have to pass the required coursework, qualifying exam, advancement to candidacy, dissertation, and oral defense to earn this degree. 

PhD in Computer and Information Science Overview

• Program Length: Five years (target)
• Tuition and Fees: $655/credit hour
• PhD Funding Opportunities: Appointment as graduate student instructor or research assistant

PhD in Computer and Information Science Admission Requirements

• Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or Physical Science
• Prerequisite (12 credit hours) in calculus 
• One prerequisite course each in linear algebra, data structures, computer organization, operating systems, and calculus-based probability and statistics
• GPA of 3.2 for a bachelor's degree or 3.5 for a master's degree
• Academic statement of purpose
• Personal statement of purpose

University of Minnesota Twin Cities is a public land-grant university founded in 1851. It offers over 550 graduate and professional degrees, 150 undergraduate majors, and 1000 internships and research opportunities. 

It has over 50,000 students, 20,000 faculty and staff, 16,000 graduate and professional students, and a student-to-faculty ratio of 17 to 1. The school also offers online, on-campus, and hybrid learning formats.

This research degree is divided into coursework, research, and thesis preparation. It comprises courses designed to build students' research writing skills, including written and verbal presentations. 

Students will have to complete a preliminary oral and written examination, thesis proposal examination, final oral examination, and thesis defense during the program. The breadth coursework subjects include algorithms, architecture systems and software, operating systems, programming languages, data communications, and computer networks.

• Program Length: Five years
• Tuition and Fees: $20,328/semester (in state), $25,212/semester (out of state)
• PhD Funding Opportunities: Teaching assistantships, graduate fellowships and grants
• Four-year degree or equivalent from an accredited school in computer science or engineering
• Diversity statement 

The University of Texas at San Antonio is a public research university founded in 1969. The school offers 71 undergraduate majors and 98 graduate degree programs both on campus and online through eight colleges. It is a tier-one research school with 32 research centers and institutes. It has a total of 34,734 students, 3,867 master's students, 956 doctoral students, and a student-to-faculty ratio of 25 to 1.

This computer science program offers cutting-edge research experience and expertise to each network engineering student. The program covers core courses in programming languages, computer architecture, operating systems, and algorithms. 

Throughout the program, students will take exams for their admission to candidacy, doctoral dissertation proposal, and doctoral dissertation, followed by a final oral examination. These are steps seen in most doctoral-level degrees in network engineering. 

• Tuition and Fees: $923.76/credit hour (in state), $1,920.86/credit hour (out of state)
• PhD Funding Opportunities: Scholarships, teaching and research assistantships
• Bachelor's or Master's Degree in Computer Science or related fields
• Professional resume/CV
• Statement of research experience and interest

Can You Get a PhD in Network Engineering Online?

Yes, you can get a PhD in Network Engineering online. Various schools offer standard quality PhD programs for students who prefer distance learning to reach their professional goals. This allows them to complete the program entirely from their homes, unless they have to occasionally visit the campus grounds. Some schools with online programs are listed below.

Best Online PhD Programs in Network Engineering

How long does it take to get a phd in network engineering.

It takes three to seven years to get a PhD in Network Engineering. The specific timeframe is dependent on various factors. Students joining a network engineering program directly after an undergraduate degree will take a minimum of five years to complete the program, while those joining after a master’s degree will take a minimum of three years.

A PhD in Network Engineering program takes this long to complete because students have to get through many phases before earning their degree. They have to complete their coursework and take multiple exams to test their preparedness before starting their research. The research is what takes the longest time as it has to be original, which requires a lot of effort and time.

Is a PhD in Network Engineering Hard?

No, a PhD in Network Engineering is not very hard. The process of earning a degree can be stressful for some, but those who are passionate about research and the technology field will find it easier. It will also be easier for those with extensive prior experience in network engineering or related fields as they already have a solid foundation of skills.

What makes a PhD difficult are the multiple examinations and the dissertation. After the exam, students have to work on their research alone. They will have the guidance of their advisor or supervisor, but the personal investment that goes into it cannot be shared. It is essential to be passionate about academia, research, and teaching before getting a PhD.

How Much Does It Cost to Get a PhD in Network Engineering?

It costs an average of $19,792 a year to get a PhD in Network Engineering, according to the National Center for Education Statistics (NCES). This amount is the total of all institutions, including private and public. The amount it costs to get a PhD in a public institution is an average of $12,171, while it costs $25,929 to earn a doctoral degree in a private institution.

Private institutions are divided into for-profit and nonprofit institutions, and the cost to attend them differs. Getting a PhD in a for-profit private institution is $14,208 on average, while the average price of a nonprofit institution is $27,776. The exact amount it will cost to earn the degree differs based on school, program, learning format, and duration.

How to Pay for a PhD in Network Engineering: PhD Funding Options

The PhD funding options that students can use to pay for a PhD in Network Engineering include graduate teaching assistantships, graduate research assistantships, research fellowships, tuition waivers, scholarships, grants, work-study, and student loans.

Best Online Master’s Degrees

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What Is the Difference Between a Network Engineering Master’s Degree and PhD?

The difference between a network engineering master’s degree and a PhD is that a master’s degree signifies more specialized knowledge of the subject. A master’s degree is designed to give students more in-depth knowledge and skills in the field to prepare them for careers. In contrast, a PhD is designed to develop students’ research, academic, teaching, and writing skills.

A master’s degree can be earned immediately after a bachelor’s degree, but you will most likely need a master’s degree or equivalent to earn a PhD. A master’s degree requires a capstone project or thesis, depending on your concentration, and this program of study typically takes one to three years to complete.

A PhD requires a qualifying exam, candidacy exam, comprehensive exam, dissertation, and defense and takes three to seven years to complete. A master’s degree will include a higher concentration of coursework, while a PhD will have a higher research concentration. A PhD is the highest level of academic achievement, while a master’s degree is not.

Master’s vs PhD in Network Engineering Job Outlook

When comparing a master’s degree to a PhD in Network Engineering jobs, both job outlooks are quite similar. They all fall under two percent to 33 percent, either slower than average or faster than average. This is because most technology jobs have the same demand for network engineers regardless of their academic level.

Difference in Salary for Network Engineering Master’s vs PhD

According to PayScale, the average salary for a Master’s Degree in Network Engineering is $93,000. There is no information on the median salary for PhD in network engineering jobs, but the median salary for PhD in Computer Science jobs is $131,000 per year.

For comparison, the highest average salary for a master’s degree is $134,668 as a chief information security officer, while the highest average salary for a PhD is $226,883 as a chief information security officer.

Related Network Engineering Degrees

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Why You Should Get a PhD in Network Engineering

You should get a PhD in Network Engineering because it will set you up for many career accomplishments. You will have received the highest academic degree in the field and built a solid network of technology professionals. Doctoral-level programs provide more employment opportunities to explore, higher job positions, and increased salary.

Reasons for Getting a PhD in Network Engineering

• Personal development. A PhD will expand your knowledge and skills and improve your expertise in the field. Completing the program requires a certain level of self-discipline which will enhance your soft skills. It will provide a sense of accomplishment as you will have reached the peak of your career in your field.
• Increased networking opportunities. PhD programs will give you access to many seminars, conferences, and workshops which will help you build new connections with people from different backgrounds and fields. These will help you boost your network both within and outside your industry.
• Broader career opportunities. A PhD will open up more career opportunities for you as you will be seen as an expert in your field. You will be able to land higher-ranking jobs in various fields. You can also choose to have your own research or practice and get funding.
• Higher salary. Earning a doctoral degree means you have reached the climax of your field. This opens you to higher job positions and increased salaries because PhD holders typically make more than other degree holders.

Getting a PhD in Network Engineering: Network Engineering PhD Coursework

This section covers the courses that you will take in the process of getting a PhD in Network Engineering. These courses are part of network engineering PhD coursework, which is the first phase of the PhD program. They carry a significant amount of credit hours that you will have to get before working on your dissertation.

Depending on the school and the program, students will take different algorithm courses like approximation algorithms and data structures and algorithms. These courses will generally cover divide and conquer methods, elementary data structures, graph algorithms, and techniques for analyzing algorithms.

Programming Languages

Programming languages are taught in virtually all computer and technology programs. Students will improve their programming skills and learn the basic design and implementation concepts of programming languages. They may not be learning or working with any programming languages in particular but will learn their features and implementation.

Artificial Intelligence

Students will be introduced to artificial intelligence before progressing to advanced artificial intelligence, game AI, and robotics. They will learn basic concepts of AI, state spaces and search spaces, Lisp and functional programming, and the difference between game AI and traditional AI.

This course will introduce students to basic software engineering processes, concepts of security protocol, human-computer interface issues, access control, crypto, and distributed system security. Students will understand security from the viewpoint of companies, criminals, police, and spies.

Computer Networks

This course will break down computer networking and cover every layer, including its duties and responsibilities. Students will learn all about networking protocols and understand systems design. Some topics include physical layer and coding, data link protocol, flow control, congestion control, routing, local area networks, transport layer, cellular (LTE), and 5G networks.

Best Master’s Degrees

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How to Get a PhD in Network Engineering: Doctoral Program Requirements

This section includes all the program requirements you need before earning your degree. These doctoral program requirements are the standard of almost all schools. You will have to complete these requirements step-by-step to get a PhD in Network Engineering.

Students will have to complete coursework which includes core, breadth, depth, and elective courses. The supervisor or advisor will help them select the required courses based on their concentration and degree requirements. There are also a specified number of credits that students have to complete for coursework.

This is an important exam that is important for all PhD students. They have to take this exam to ensure that they are on the right track to getting their candidacy. The exam will test the student's ability to apply the knowledge and skills they learned during the program. The results demonstrate their preparedness for candidacy and readiness to take on independent research.

This exam is required for students to start their PhD research. The purpose of the exam is to test students' preparedness for full-time research toward their doctoral degree. Taking this exam means a student has completed all required coursework and is ready to conduct their research and dissertation. The exam is usually taken in the first or second year of the program.

Like other exams, the comprehensive exam is designed to test students' preparedness for their dissertation. It tests students' academic knowledge, technical skill, and mastery of the field. The exam may be in verbal, oral, written, or verbal/oral format depending on the school. Passing this exam is necessary before proceeding with a dissertation.

A thesis or dissertation is the summary of a student’s research. It is a lengthy document that includes original research on a topic. As a doctoral student, you get to choose what you research and write about, and your dissertation is the product of this project.

The dissertation defense is the last stage of the PhD program. It is an oral examination where students have to present and discuss their dissertation. It is typically headed by a committee that students present to. In some cases, there will be a question and answer section where students will have to answer questions posed by the committee about their study.

Potential Careers With a Network Engineering Degree

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PhD in Network Engineering Salary and Job Outlook

The salary range for a PhD in Network Engineering is between $102,600 and $131,490, and the job outlook is between five percent and 33 percent. The initial amount will vary based on industry, company, job role, and skills. For example, a senior network engineer may make more than a cloud engineer because of the specific company they work for.

What Can You Do With a PhD in Network Engineering?

With a PhD in Network Engineering, you can work as a network architect, network engineer, research scientist, computer scientist, systems analyst, network analyst, or network administrator . You can work in various industries in the technical field, including network administration, research, health, finance, technology, education, and government.

Best Jobs with a PhD in Network Engineering

• Network architect
• Computer scientist
• Network security manager
• Network administrator
• Database administrator

What Is the Average Salary for a PhD in Network Engineering?

The average salary for a PhD in Network Engineering is $131,000 , according to PayScale. This amount may differ based on different factors like the industry, company, job role, skills, and professional experience. For instance, chief information security officers earn an average of $226,883 while senior business analysts earn an average of $102,400.

Highest-Paying Network Engineering Jobs for PhD Grads

Best network engineering jobs with a doctorate.

This section includes some of the best network engineering jobs with a doctorate requirement. They are also some of the highest-paying jobs for network engineers in the industry. You will find details like the job roles, average salaries, job outlook, and highest-paying states for each job. This information can guide you in choosing an area of specialization.

A computer scientist is a professional who conducts research to design, develop, and implement software and hardware systems to advance technology. They use their IT knowledge and skills to create applications that improve user interaction and make using tech easier.

• Salary with a Network Engineering PhD: $131,490
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: Oregon, Arizona, Texas, Massachusetts, Washington

Computer hardware engineers are professionals who design and supervise the installation and maintenance of computer systems. They conduct research to find new ways to advance computer technology and influence how it's used.

• Salary with a Network Engineering PhD: $128,170
• Job Outlook: 2% job growth from 2020 to 2030
• Number of Jobs: 66,200
• Highest-Paying States: California, Washington, Virginia, Oregon, Nevada

Computer network architects design, build, and maintain data communication networks like local area networks (LAN), wide area networks (WAN), and Intranets. They are employed by telecommunications companies, finance companies, insurance companies, and education systems.

• Salary with a Network Engineering PhD: $120,520
• Job Outlook: 5% job growth from 2020 to 2030
• Number of Jobs: 165,200
• Highest-Paying States: New Jersey, Rhode Island, Delaware, Virginia, Maryland

Computer network engineers are responsible for designing, planning, and implementing client-specific cloud solutions. They manage how information is shared within an organization. They work at IT firms, consulting technology firms, and telecommunications firms.

• Salary with a Network Engineering PhD: $106,100

Information security analysts work to design, develop, install, and maintain IT security systems to protect the computer systems in organizations. They ensure that the computer systems are protected against external attacks and breaches by continuously enhancing systems’ effectiveness.

• Salary with a Network Engineering PhD: $102,600
• Job Outlook: 33% job growth from 2020 to 2030
• Number of Jobs: 141,200
• Highest-Paying States: California, New York, Maryland, Iowa, District of Columbia

Is a PhD in Network Engineering Worth It?

Yes, a PhD in Network Engineering is worth it. This degree will help expand your knowledge and skills and enhance your potential in the industry. It will help you build a strong professional network, widen your career opportunities, and increase your salary range. A PhD is especially important for those interested in academics, research, and teaching.

Demand for technical expertise is increasing in all sectors, and with the expertise you will get from a PhD, you stand a higher chance of meeting that demand. You will get the opportunity to explore various fields or even start your own private practice with funding. Recently, students have been able to get a PhD directly after a bachelor’s degree, which makes the process even easier.

Additional Reading About Network Engineering

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PhD in Network Engineering FAQ

Yes, there is a PhD in Networking. You can get a PhD in Network Engineering, Computer Science, Computer Engineering, or Information Systems. The program will take a minimum of three years to complete based on different factors like your learning format, the specific program, the school, and your dedication to the program.

The best degree for network engineers is a Bachelor’s or Master’s Degree in Network Engineering , Computer Science, Computer Engineering, or Information Systems. These degrees will equip you with the relevant knowledge and skills to become a professional network engineer.

The qualifications for a network engineer are an Associate , Bachelor’s, or Master’s Degree in Computer Science or Computer Engineering. Network engineers also need technical skills like programming languages, hardware and infrastructure, analytics and troubleshooting, DNS, and IoT. Soft skills like critical thinking and problem-solving are also essential.

Yes, network engineering is a good career. It has a good job outlook which means that professionals are in high demand and earn relatively high salaries, making it a promising career to pursue. An in-depth understanding of network engineering topics can lead to career stability.

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Thesis Proposal

In the thesis proposal, the PhD or DES student lays out an intended course of research for the dissertation.  By accepting the thesis proposal, the student’s dissertation proposal committee agrees that the proposal is practicable and acceptable, that its plan and prospectus are satisfactory, and that the candidate is competent in the knowledge and techniques required, and formally recommends that the candidate proceed according to the prospectus and under the supervision of the dissertation committee. It is part of the training of the student’s research apprenticeship that the form of this proposal must be as concise as those proposals required by major funding agencies.

The student proposes to a committee consisting of the student’s advisor and two other researchers who meet requirements for dissertation committee membership.  The advisor should solicit the prospective committee members, not the student. In cases where the research and departmental advisors are different , both must serve on the committee.

The student prepares a proposal document that consists of a core, plus any optional appendices. The core is limited to 30 pages (e.g., 12 point font, single spacing, 1 inch margins all around), and should contain sections describing 1) the problem and its background, 2) the innovative claims of the proposed work and its relation to existing work, 3) a description of at least one initial result that is mature enough to be able to be written up for submission to a conference, and 4) a plan for completion of the research. The committee commits to read and respond to the core, but reserves the right to refuse a document whose core exceeds the page limit. The student cannot assume that the committee will read or respond to any additional appendices.

The complete doctoral thesis proposal document must be disseminated to the entire dissertation committee no later than two weeks (14 days) prior to the proposal presentation. The PhD Program Administrator must be informed of the scheduling of the proposal presentation no later than two weeks (14 days) prior to the presentation. Emergency exceptions to either of these deadlines can be granted by the Director of Graduate Studies or the Department Chair on appeal by the advisor and agreement of the committee.

A latex thesis proposal template is available here .

PRESENTATION AND FEEDBACK

The student presents the proposal in a prepared talk of 45 minutes to the committee, and responds to any questions and feedback by the committee.

The student’s advisor, upon approval of the full faculty, establishes the target semester by which the thesis proposal must be successfully completed. The target semester must be no later than the eighth semester, and the student must be informed of the target semester no later than the sixth semester.

The candidacy   exam  must be successfully completed  before  the  proposal can be attempted.  The proposal must be completed prior to submitting the application for defense. [Instituted by full faculty vote September 16, 2015.]

Passing or failing is determined by consensus of the committee, who then sign the dissertation proposal form (sent to advisors by phd-advising@cs.  Failure to pass the thesis proposal by the end of the target semester or the eighth semester, whichever comes first, is deemed unsatisfactory progress: the PhD or DES student is normally placed on probation and can be immediately dismissed from the program. However, on appeal of the student’s advisor, one semester’s grace can be granted by the full faculty.

Last updated on October 16, 2023.

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This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

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2023-24 edition, networked systems, ph.d..

The graduate program in Networked Systems is administered by faculty from two academic units: the Department of Computer Science (CS) in the Donald Bren School of Information and Computer Sciences and the Department of Electrical Engineering and Computer Science (EECS) in The Henry Samueli School of Engineering. The program offers an M.S. and a Ph.D. in Networked Systems.

The Networked Systems program provides education and research opportunities to graduate students in the areas of computer and telecommunication networks. Networked Systems include telephone, cable TV networks, wireless, mobile, ad hoc, and cellular phone networks, as well as the Internet. Networked Systems, as a field, is inherently interdisciplinary since it combines technology in software, hardware, and communications. As a result, it transcends traditional departmental boundaries. Networked Systems draws primarily from Computer Science, Computer Engineering, and Electrical Engineering. At UCI, these areas are housed in two departments: CS and EECS. The Networked Systems program unites the respective strengths of these two departments and provides integrated M.S. and Ph.D. programs in this area.

Program requirements include core, breadth, and concentration courses. Core courses are taken by all Networked Systems students and form a foundation for networking topics. Breadth courses may be selected from technical courses (including distributed systems, algorithms, data structures, operating systems, databases, random processes, and linear systems) and management and applications of technology (including educational technology, management of information technology, and social impact). Concentration courses may be selected from a long list including courses on networks, performance, middleware, communications, and operations research. Core, breadth, and concentration course lists are available on the Networked Systems website or from the Networked Systems Program Office.

Prospective graduate students apply directly to the Networked Systems program, specifying if they are pursing an M.S. or a Ph.D. Applicants who do not hold a bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering may be required to take supplementary course work to obtain and demonstrate sufficient background in the field.

Applicants are evaluated on the basis of prior academic record and potential for creative research and teaching, as demonstrated in their application materials including official university transcripts, letters of recommendation, and statement of purpose.

Requirements

The Ph.D. requires the following 13 courses: three core courses; three courses chosen from the breadth course list, with at most two chosen from the Management and Applications of Technology list; four courses chosen from the concentration course lists, with at least one course chosen from at least three different concentrations; and three additional courses, chosen with the approval of the research advisor. Students must also complete two teaching practicum courses ( I&C SCI 399 ) and a dissertation.

Courses applied to the M.S. can also be applied to the Ph.D. Students who have taken similar graduate-level courses at another university may petition to apply these courses to the Ph.D. requirements. Ph.D. students who have served as teaching assistants, readers, or tutors at another university may petition to apply this experience toward the teaching practicum requirement. Normative time for advancement to candidacy is three years (two for students who entered with a master’s degree). Normative time for completion of the Ph.D. is six years (five for students who entered with a master’s degree), and maximum time permitted is seven years.

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2023-2024 Catalogue

A PDF of the entire 2023-2024 catalogue.

Welcome to the on-line version of the UNC dissertation proposal collection. The purpose of this collection is to provide examples of proposals for those of you who are thinking of writing a proposal of your own. I hope that this on-line collection proves to be more difficult to misplace than the physical collection that periodically disappears. If you are preparing to write a proposal you should make a point of reading the excellent document The Path to the Ph.D., written by James Coggins. It includes advice about selecting a topic, preparing a proposal, taking your oral exam and finishing your dissertation. It also includes accounts by many people about the process that each of them went through to find a thesis topic. Adding to the Collection This collection of proposals becomes more useful with each new proposal that is added. If you have an accepted proposal, please help by including it in this collection. You may notice that the bulk of the proposals currently in this collection are in the area of computer graphics. This is an artifact of me knowing more computer graphics folks to pester for their proposals. Add your non-graphics proposal to the collection and help remedy this imbalance! There are only two requirements for a UNC proposal to be added to this collection. The first requirement is that your proposal must be completely approved by your committee. If we adhere to this, then each proposal in the collection serves as an example of a document that five faculty members have signed off on. The second requirement is that you supply, as best you can, exactly the document that your committee approved. While reading over my own proposal I winced at a few of the things that I had written. I resisted the temptation to change the document, however, because this collection should truely reflect what an accepted thesis proposal looks like. Note that there is no requirement that the author has finished his/her Ph.D. Several of the proposals in the collection were written by people who, as of this writing, are still working on their dissertation. This is fine! I encourage people to submit their proposals in any form they wish. Perhaps the most useful forms at the present are Postscript and HTML, but this may not always be so. Greg Coombe has generously provided LaTeX thesis style files , which, he says, conform to the 2004-2005 stlye requirements.

Many thanks to everyone who contributed to this collection!

Greg Coombe, "Incremental Construction of Surface Light Fields" in PDF . Karl Hillesland, "Image-Based Modelling Using Nonlinear Function Fitting on a Stream Architecture" in PDF . Martin Isenburg, "Compressing, Streaming, and Processing of Large Polygon Meshes" in PDF . Ajith Mascarenhas, "A Topological Framework for Visualizing Time-varying Volumetric Datasets" in PDF . Josh Steinhurst, "Practical Photon Mapping in Hardware" in PDF . Ronald Azuma, "Predictive Tracking for Head-Mounted Displays," in Postscript Mike Bajura, "Virtual Reality Meets Computer Vision," in Postscript David Ellsworth, "Polygon Rendering for Interactive Scientific Visualization on Multicomputers," in Postscript Richard Holloway, "A Systems-Engineering Study of the Registration Errors in a Virtual-Environment System for Cranio-Facial Surgery Planning," in Postscript Victoria Interrante, "Uses of Shading Techniques, Artistic Devices and Interaction to Improve the Visual Understanding of Multiple Interpenetrating Volume Data Sets," in Postscript Mark Mine, "Modeling From Within: A Proposal for the Investigation of Modeling Within the Immersive Environment" in Postscript Steve Molnar, "High-Speed Rendering using Scan-Line Image Composition," in Postscript Carl Mueller, " High-Performance Rendering via the Sort-First Architecture ," in Postscript Ulrich Neumann, "Direct Volume Rendering on Multicomputers," in Postscript Marc Olano, "Programmability in an Interactive Graphics Pipeline," in Postscript Krish Ponamgi, "Collision Detection for Interactive Environments and Simulations," in Postscript Russell Taylor, "Nanomanipulator Proposal," in Postscript Greg Turk, " Generating Textures on Arbitrary Surfaces ," in HTML and Postscript Terry Yoo, " Statistical Control of Nonlinear Diffusion ," in Postscript

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Network Research Proposal

A network is a collection of network devices and peripherals to be connected with other devices for data transmission. Network communication technologies such as WiFi, Zigbee, LTE, 4G, 5G, or 6G can be used for data transmission . On this page, we discuss how to write the network research proposal and also list the most significant research computer network project ideas .

In general, PhD research proposal means clear research questions with a set of proposed solutions to address the identified problems in your research topic. Furthermore, it summarizes the in-depth study of the research topic and shows the research methods and mechanisms to be used in the research.   

What makes a good research proposal?

• The importance of the research must be highlighted
• Originality and novelty in the proposed research
• Effectiveness, appropriateness, and feasibility of the research methods
• Specifies the research ideas and detailed parameters discussion
• Giving solutions for appropriate problems

Next, we talk about how to get the research idea in networks and how to know the background information of networks is discussed. Once you commit to your network research proposa l, it’s our job to train you in all aspects of the network. Hence, we have given some of the significant information about the networks.   

What is the use of wireless networking?                                                    

The purpose of wireless networking is to make the communication with the base stations which uses for communication by physical layer (PHY) and media access control (MAC) protocols. To communicate among network devices, resources are shared from the cellular modems.

For any research topic to write a network research proposal, we perform empirical and theoretical research with in-depth study for simulation models, proof of prototypes, and experimental testbeds. Further, we evaluate new wireless technologies to refine the previous specifications of the standard in wireless networks . First, see below to know the research issues in networks.   

Research Issues in Networks 

• Scalability
• Quality-of-Service
• Prediction Error Control
• Mobility Management
• Resource Management
• Cross-Layer Interactions
• Synchronization
• Security and Privacy
• Fault-Tolerance

These issues are common i.e., applicable for any type of wireless network. Since any network communication is breakable due to link breakages, attacker’s involvement, and high network density . Hence, these issues are essential to be addressed when we choose any kind of network type.  

What are the different types of wireless networks? 

• Sensor Networks
• Autonomous Intelligent Networks
• Wireless and Ad hoc Networks
• Software-Defined Networks
• Vehicular Ad Hoc Networks
• Mobile Ad Hoc Networks
• 5G and 6G Networks
• Heterogeneous Networks

From the set of wireless networks, various research areas , and ideas are available to start PhD research. As a matter of fact, our experts have suggested such research topics for you in the field of network. If you want any particular support in network research proposal writing or paper writing for any topic , you can contact our expert team. Now, look below to get the major research topics in the network.   

PhD Research Topics in Network 

• Digital communication technologies  – Some of the essential ideas in-network are followed as modulation, error control coding, channel modeling, and signal processing.
• Network protocol design –  For various purposes data routing, resource management, data transmission, and medium access control.
• Wireless networks division – To handle network density for heterogeneous node deployment and network partitioning is implemented.

Among the set of PhD topics, we detailed the network protocol design in the following. The network protocol is a separate procedure that consists of policies, and actions for secure and end-to-end communication. A protocol family is known as a set of network protocols used for both lower and higher layers of the OSI model.   

What is the purpose of network protocol?

“Without the protocol usage, devices or systems cannot be able to understand the signals that send on the network connections. These days network protocol is used to switch the packet from the source to the destination in the form of packets. For instance, network protocol is used to split the packet and reassembled in the destination”

In the following, we provide detailed descriptions of the network protocols for the OSI network model as follows.

• Layer 1: Network medium and devices are interfaced using physical layer network protocols
• Layer 2: Data frames or packets are used for data link layer network protocols
• Layer 3: End to end message transmission is managed in the transport layer network protocols
• Layer 4: User dialogues and sessions are managed in the session layer network protocols
• Layer 5: Data formats between different network devices are managed in the presentation layer network protocols
• Layer 6: Standard services such as file transfer and virtual terminal usage are managed in the application layer network protocols.   

PhD Research Topics in Network Protocols 

• Mobility tolerant communication protocols
• Transport layer protocols
• Performance analysis and simulation of protocols
• Self-organizing network protocols
• Unicast, Multicast, Geocast Routing protocols

To know more about other research topics in the network or any other research areas, you can contact us for novel network research proposal help!!!

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PhD | Thesis Proposal

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The student must present an oral thesis proposal and submit the form to their full reading committee by Spring quarter of their fourth year. The thesis proposal form  must be filled out, signed, and approved by all committee members. Then, submitted to the CS PhD Student Services ( [email protected] ). 

The thesis proposal allows students to obtain formative feedback from their reading committee that'll guide them into a successful and high-quality dissertation. The thesis proposal (a private session only with the student's advisor/co-advisor and reading committee members) should allow time for discussion with the reading committee about the direction of the thesis research. The suggested format should include:

• A description of the research problem and its significance;
• A description of previous work in the area and the "state of the art" prior to the student's work; 
• A description of preliminary work the student has done on the problem, and any research results of that work; 
• An outline of remaining work to be done and a timeline for accomplishing it.

Academic Catalog 2023-2024

Network science, phd.

The PhD program in network science aims to enhance our understanding of networks arising from the interplay of human behavior, sociotechnical infrastructures, information diffusion, and biological agents. This is an intrinsically multidisciplinary activity, with members of the network science community representing a wide range of fields including computer science, information science, complexity, physics, sociology, communication, organizational behavior, political science, and epidemiology. This is an interdisciplinary doctoral program focused on training students in network science across several colleges—including the College of Social Sciences and Humanities, the College of Science, the Khoury College of Computer Sciences, and Bouvé College of Health Sciences—with several research areas, including computational sciences, information sciences, health and life sciences, social sciences, and theoretical physics. See other collaborating colleges’ catalog sections for possible elective courses.

Coursework is dependent on a student’s area of research and subject to prior approval by their faculty advisor. Required coursework includes 20 semester hours of core courses in network science, plus an additional 20 semester hours of courses relevant to the students' area of research.  A minimum of 40 credit hours of coursework is required, though the graduate program committee may recommend additional coursework based on student research interests. 

Satisfactory progress in the program will be ongoing and formally evaluated at the end of both the first and second years of the program. Students are expected to maintain a cumulative GPA of 3.000 or better in all coursework. Students are not allowed to retake courses. A student who does not maintain the 3.000 GPA, or is not making satisfactory progress on their dissertation research, may be recommended for termination by the graduate program committee.

Each student will have one primary research advisor from the network science doctoral program faculty.

Students will be expected to select their research advisor by the end of the spring semester of their second year in the program.

The dissertation committee consists of at least four members: the dissertation advisor, one additional network science doctoral program faculty member, one member expert in the specific topic of research (can be from outside the university), and one additional tenured/tenure-track faculty member from the concentration department/conferring college. The dissertation advisor must be a full-time tenured or tenure-track member of the Northeastern University faculty. Students may repeat the comprehensive examination once if they are unsuccessful.

Degree Candidacy

A student is considered a PhD candidate upon completion of all required coursework with a minimum cumulative GPA of 3.000, satisfactory completion of the qualification exam, and satisfactory completion of the comprehensive exam.

Qualifying Examination

The qualification exam will be an oral examination of the material during the students’ coursework. The exam will be an hour in length and consist of questions selected by network science faculty who comprise the qualifying examination and dissertation committee. Students will receive 50 to 80 potential questions, which they must be prepared to answer, one month before the exam. The exam will consist of a subset of these questions. The qualifying exam will be offered twice annually, in the fall and spring terms. All students are required to initially sit for the exam in the fall, typically in their third year of the PhD program. Students who do not pass the qualifying exam on their first attempt are expected to retake the exam in the spring term. Students may sit for the qualifying exam no more than twice.

Students who fail to complete the qualifying examination but who have completed all the PhD program’s required coursework with a cumulative GPA of 3.000 or better will be awarded a terminal Master of Science in Network Science degree. Note that no students will be admitted directly into the network science program for receipt of a masterʼs degree.

Comprehensive Examination

Students must submit a written dissertation proposal to the dissertation committee. The proposal (with the aid and approval of their dissertation advisor) will outline a plan to carry out new and original research. The proposal should identify relevant literature, the research problem, the research plan, and the potential impact on the field. An oral presentation of the proposal will be made in an open forum before a public audience and the dissertation committee, followed by questions from noncommittee members. The written proposal must be given to committee members at least two weeks prior to the oral presentation. After the presentation, the student will meet with the dissertation committee to address any concerns raised in either the written proposal or the presentation. The comprehensive exam must precede the final dissertation defense by at least one year.

Dissertation Defense

A PhD student must complete and defend a dissertation that involves original research in network science. The dissertation defense must adhere to Northeastern academic policies.

Students who ​do not qualify for the doctoral degree, but who have completed ​required coursework with a cumulative GPA of 3.000 or better, may be eligible to receive ​a terminal  Master of Science in Network Science . Note that no students will be admitted directly into the network science program to pursue a masterʼs degree.

Complete all courses and requirements listed below unless otherwise indicated.

Annual review Qualifying exam Dissertation committee Dissertation proposal PhD candidacy Dissertation defense

Core Requirements

Specializations.

Choose one of the following specializations or 20 semester hours of elective coursework from the electives course list:

Computer Science

Epidemiology, physics/theory.

• Social Science  

Social Science

Electives list.

Common electives include the following:

Dissertation

Program credit/gpa requirements.

40 total semester hours required Minimum 3.000 GPA required

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