Computer Science, PhD < Northeastern University Academic Catalog (2024)

The PhD in Computer Science is designed to prepare students for careers in academia, industrial and national research labs, and technical leadership in industry and government.The rigorous curriculum provides a broad background in the fundamentals of computer science, advanced courses in a wide range of focus areas, and opportunity to make an impact at the forefront of computing. The program provides training in conducting research, publishing and presenting papers, developing systems, and establishing science and technology policy.

Coursework

A minimum of 48semester hours of coursework beyond the BS/BA degree is required of all students.

All students must demonstrate sufficient knowledge in the fundamentals of computer science, as well as the ability to carry out research in an area of computer science.

The student must maintain a minimum grade-point average of3.500among the six core courses and receive a grade of B or better in each of these courses. Students who have taken equivalent courses in other institutions may petition to be exempted from the course(s)(subject to the approval of the PhD computer science curriculum committee). Each student may repeat a course once for no more than three out of the six courses if they do not receive a B or better in the course. Students with a Master of Science in Computer Science may petition to the PhD computer science curriculum committee for an exemption from these courses. Petition forms are available on the college website.

The fields listed do not necessarily represent areas of specialization or separate tracks within the PhD program. Rather, they attempt to delineate areas on which the student must be examined in order to measure their ability to complete the degree. Therefore, they may be adjusted in the future to reflect changes in the discipline of computer science and in faculty interests within the Khoury College of Computer Sciences. Similarly, these fields do not represent the only areas in which a student may write their dissertation. They are, however, intended to serve as a basis for performing fundamental research in computer science.

Paper Requirement

To demonstrate research ability, the student is required to submit to the PhD committee a research or a survey paper in an area of specialty under the supervision of a faculty advisor. A submitted paper from a student is considered to have fulfilled the paper requirement if:

  1. The paper has been accepted by a selective conference.
  2. The student has made a substantial contribution to the paper.
  3. The advisor has endorsed the paper with a written statement indicating the student’s contribution.
  4. The PhD computer science curriculum committee has voted on a positive recommendation. The committee may require a presentation from the student before making a recommendation.

Admission to Candidacy

Upon completion of the course and the research paper requirements, the student is admitted to candidacy for the PhD degree. It is highly recommended that the student complete the candidacy requirement by the end of their second year but no later than the third year.

Residency

One year of continuous full-time study is required after admission to the PhD candidacy. It is expected that during this period the student will make substantial progress in preparing for the comprehensive examination.

Teaching Requirement

All computer science PhD students must satisfy the teaching requirement in order to graduate. This requirement is fulfilled when the student works as a teaching assistant or instructor of record for one semester and during this semester:

  • Teaches at least three hours of classes
  • Prepares at least one assignment, or quiz, or equivalent

PhD students are expected to satisfy the teaching requirement some time after completing their first year and at least one semester prior to scheduling their PhD defense.

Comprehensive Examination/Dissertation Proposal

After the student has achieved sufficient depth in a field of study, they prepare a proposal for the PhD dissertation. This process should take place no later than the end of the fifth year in residence. The student prepares a dissertation proposal, which describes the proposed research, including the relevant background materials from the literature. The proposal should clearly specify the research problems to be attacked, the techniques to be used, and a schedule of milestones toward completion.

The dissertation proposal must be approved by the dissertation committee. With the help of the advisor, a student selects the committee, consisting of at least four members, to be approved by the PhD computer science curriculum committee. The four members must include the advisor, two internal members, and an external member.

Upon approval of the written proposal, the student has to present the proposed work orally in a public forum, followed by a closed-door oral examination from the dissertation committee. The student may take the dissertation proposal examination twice, at most.

Doctoral Dissertation

Upon successful completion of solving the research proposed in the dissertation proposal, the candidate has an opportunity to prepare the dissertation for approval by the dissertation committee. The dissertation must contain results of extensive research and make an original contribution to the field of computer science. The work should give evidence of the candidate’s ability to carry out independent research. It is expected that the dissertation should be of sufficient quality to merit publication in a reputable journal in computer science.

Doctoral Committee

With the help of the advisor, a student selects the committee, consisting of at least four members, to be approved by the PhD computer science curriculum committee. The four members must include the advisor, two internal members, and an external member.

Dissertation Defense

Thedissertation defense is held in accordance with the regulations of the University Graduate Curriculum Committee. It consists of a lecture given by the candidate on the subject matter of the dissertation. This is followed by questions from the dissertation committee and others in attendance concerning the results of the dissertation as well as any related matters. The defense is chaired by the PhD advisor.

Time and Time Limitation

After the establishment of degree candidacy, a maximum of five years will be allowed for the completion of the degree requirements, unless an extension is granted by the college graduate committee.

  • Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
  • Certain options within the program may berequiredat certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.

Complete all courses and requirements listed below unless otherwise indicated.

Milestones

Coursework
Paper requirement
Admission to candidacy
Residency
Teaching requirement
Comprehensive examination/dissertation proposal
Doctoral dissertation
Doctoral committee
Dissertation defense

Course Area Requirements

A grade of B or higher is required in each course. A cumulative 3.500 GPA is required for the core requirement.

Students should refer to the course numbering table for graduate course leveling.

Course List
Code Title Hours
Complete a total of six courses. Courses must cover at least four of the five areas, and a maximum of two courses may be at the 5000 level.24
At least two courses must be 7000-level seminar courses.
At least two courses must be 7000-level nonseminar courses.
Artificial Intelligence and Data Science
Seminar Courses

CS7170

Seminar in Artificial Intelligence
Nonseminar Courses

CS7140

Advanced Machine Learning

CS7150

Deep Learning

CS7180

Special Topics in Artificial Intelligence

CS7200

Statistical Methods for Computer Science

CS7240

Principles of Scalable Data Management: Theory, Algorithms, and Database Systems

CS7280

Special Topics in Database Management

CS7290

Special Topics in Data Science

CS7380

Special Topics in Graphics/Image Processing
Other Courses

CS5100

Foundations of Artificial Intelligence

CS5150

Game Artificial Intelligence

CS5170

Artificial Intelligence for Human-Computer Interaction

CS5180

Reinforcement Learning and Sequential Decision Making

CS5200

Database Management Systems

CS5330

Pattern Recognition and Computer Vision

CS5335

Robotic Science and Systems

CS5850

Building Game Engines

CS6120

Natural Language Processing

CS6140

Machine Learning

CS6200

Information Retrieval

CS6220

Data Mining Techniques

CS6240

Large-Scale Parallel Data Processing

DS5110

Introduction to Data Management and Processing

DS5220

Supervised Machine Learning and Learning Theory

DS5230

Unsupervised Machine Learning and Data Mining
Human-Computer Interaction
Seminar Courses

CS7375

Seminar in Human-Computer Interaction
Nonseminar Courses

CS7250

Information Visualization: Theory and Applications

CS7260

Visualization for Network Science

CS7295

Special Topics in Data Visualization

CS7300

Empirical Research Methods for Human Computer Interaction

CS7340

Theory and Methods in Human Computer Interaction

CS7390

Special Topics in Human-Centered Computing
Other Courses

CS5097

Mixed Reality

CS5170

Artificial Intelligence for Human-Computer Interaction

CS5340

Computer/Human Interaction

CS6350

Empirical Research Methods
Software
Seminar Courses

CS7470

Seminar in Programming Languages

CS7575

Seminar in Software Engineering
Nonseminar Courses

CS7430

Formal Specification, Verification, and Synthesis

CS7480

Special Topics in Programming Language

CS7485

Special Topics in Formal Methods

CS7580

Special Topics in Software Engineering
Other Courses

CS5310

Computer Graphics

CS5400

Principles of Programming Language

CS5500

Foundations of Software Engineering

CS5520

Mobile Application Development

CS5610

Web Development

CS6410

Compilers

CS6510

Advanced Software Development
Systems and Security
Seminar Courses

CS7270

Seminar in Database Systems

CS7670

Seminar in Computer Systems

CS7770

Seminar in Computer Networks

CS7775

Seminar in Computer Security
Nonseminar Courses

CS7600

Intensive Computer Systems

CS7610

Foundations of Distributed Systems

CS7680

Special Topics in Computer Systems

CY7790

Special Topics in Security and Privacy
Other Courses

CS5600

Computer Systems

CS5700

Fundamentals of Computer Networking

CS6620

Fundamentals of Cloud Computing

CS6650

Building Scalable Distributed Systems

CS6710

Wireless Network

CS6760

Privacy, Security, and Usability

CY5130

Computer System Security

CY5150

Network Security Practices

CY5770

Software Vulnerabilities and Security

CY6740

Network Security
Theory
Seminar Courses

CS7870

Seminar in Theoretical Computer Science
NonSeminar Courses

CS7800

Advanced Algorithms

CS7805

Complexity Theory

CS7810

Foundations of Cryptography

CS7840

Foundations and Applications of Information Theory

CS7880

Special Topics in Theoretical Computer Science
Other Courses

CS5800

Algorithms

CY5120

Applied Cryptography

Electives

Course List
Code Title Hours
Complete 24 semester hours in the following:24

Note: Consult faculty advisor for the other acceptable courses.

CS5100 to CS5850, except CS5340

CS 6110 to CS 6810

CS7340

Theory and Methods in Human Computer Interaction

CS7930

Effective Scientific Writing in Computer Science

CS8982

Readings

Dissertation

Course List
Code Title Hours
Upon achieving PhD candidacy, complete the following courses for two consecutive semesters:

CS9990

Dissertation Term 1

CS9991

Dissertation Term 2
For remaining semester(s), complete the following (repeatable) course until graduation:

CS9996

Dissertation Continuation

Program Credit/GPA Requirements

48total semester hours required
Minimum overall 3.000GPA required

Sample Plan of Study

Year 1
FallHoursSpringHours
Area course4Area course4
Readings4Readings4
88
Year 2
FallHoursSpringHours
Area course4Area course4
Readings4Readings4
88
Year 3
FallHoursSpringHours
Area course4Area course4
Readings4Readings4
88
Year 4
FallHoursSpringHours
CS99900CS99910
00
Year 5
FallHoursSpringHours

CS9996

CS9996

00
Year 6
FallHoursSpringHours

CS9996

CS9996

00
Total Hours: 48
  • Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
  • Certain options within the program may berequiredat certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.

Coursework

Incoming PhD in Computer Science students who have already completed a Master of Science in Computer Science or an adjacent field may petition to the PhD in Computer Science program administration for advanced entry. Advanced entry petitions are reviewed by the program administration on a case-by-case basis. Please note that advanced standing does not waive by itself any part of the PhD coursework requirements.

As a degree conferral requirement, a minimum of 16 semester hours of coursework beyond the 32 semester hours of the master’s degree is required of advanced entry PhD students (48 semester hours is required of standard entry PhD students). Students must maintain a minimum GPA of 3.500 as well as earn a grade of B or better in each course.

Paper Requirement

Refer to the Computer Science, PhD, overview, for research/survey paper requirements.

Admission to Candidacy

Refer to the Computer Science, PhD, overview, foradmission to candidacyrequirements.

Residency

Refer to the Computer Science, PhD, overview, forresidencyrequirements.

Teaching Requirement

Refer to the Computer Science, PhD, overview, forthe teachingrequirement.

Comprehensive Examination/Dissertation Proposal

Refer to the Computer Science, PhD, overview, forcomprehensive examinationrequirements.

Complete all courses and requirements listed below unless otherwise indicated.

Milestones

Annual review
Course requirements
Paper requirement
Comprehensive exam
Teaching requirement
Doctoral candidacy
Dissertation committee
Dissertation proposal
Dissertation defense

Core Requirements

Students must maintain a minimum GPA of 3.500 as well as earn a grade of B or better in each course.

Course List
Code Title Hours
Consult your faculty advisor for acceptable courses.16

Dissertation

Course List
Code Title Hours
Upon achieving PhD candidacy, complete the following courses for two consecutive semesters:

CS9990

Dissertation Term 1

CS9991

Dissertation Term 2
For remaining semester(s), complete the following (repeatable) course until graduation:

CS9996

Dissertation Continuation

Program Credit/GPA Requirements

16 total semester hours required
Minimum overall 3.500GPA required

Computer Science, PhD < Northeastern University Academic Catalog (2024)

FAQs

What GPA do you need for Northeastern University PhD? ›

Grades submitted to satisfy, in whole or in part, the requirements for any graduate degree or certificate of advanced study must yield a cumulative GPA of 3.000 or higher.

Is Northeastern good for PhD? ›

At Northeastern University, PhD students and postdoctoral researchers enjoy a uniquely broad range of immersive opportunities to expand critical inquiry, learn, perform original research, and chart a path to professional success.

What is the acceptance rate for Northeastern University PhD? ›

Acceptance rate for masters is 44.6% and for PhD is 21.8% respectively. The tuition fees for Northeastern University is 24640 and 16270 should cover your living expenses.

Is Northeastern computer science hard? ›

This course is notoriously difficult at Northeastern University. The course content includes learning about Assembly, pointers in C, shell scripts, file descriptors, cache, POSIX threads, and multi-threaded programming. There were 9 homeworks, a midterm, and a final.

Is 3.7 A good GPA in PhD? ›

Prospective PhD students should aim for a GPA of 3.5 or higher, while also focusing on research experience, strong letters of recommendation, and a compelling personal statement to strengthen their application.

Can I get into PhD with 3.5 GPA? ›

If your GPA is too low your application will be dismissed out of hand. While there are no hard limits, we suggest a minimum GPA of 3.5 for serious contention, especially at top schools. If your GPA is below 3.0 then you will likely not get admitted into any PhD programs.

Is Northeastern a tier 1 research university? ›

Northeastern ranks in the “highest research activity” category among U.S. colleges and universities. It is one of only 115 institutions accorded top-tier, R-1 status by the Carnegie Classification of Institutions of Higher Education.

How much does PhD Northeastern pay? ›

The average PhD Student base salary at Northeastern University is $64K per year.

Which PhD is most respected? ›

The most respected PhD degrees in the academic world are generally in the STEM (science, technology, engineering, and mathematics) fields, such as physics, chemistry, mathematics, computer science, and engineering. Other highly respected PhD degrees include economics, psychology, and medicine.

How prestigious is Northeastern University? ›

Northeastern University Rankings

Northeastern University is ranked #53 out of 439 National Universities. Schools are ranked according to their performance across a set of widely accepted indicators of excellence.

Is Northeastern PhD funded? ›

Northeastern University provides research doctoral degree-seeking students with the opportunity to receive funding in the form of fellowships, assistantships, and tuition scholarships.

Why is northeastern so popular? ›

According to the Northeastern Admissions Office, the school's focus on experiential learning makes Northeastern stand out. With Northeastern ranking #44 in National Universities, the many different college majors and programs available offer ample opportunities for career development.

Are Northeastern computer science graduates respected? ›

In terms of ranking, U.S. News & World Report placed Northeastern University's undergraduate computer science program within the top 50 in the U.S., indicating its prestige and recognition.

Where does Northeastern rank for computer science? ›

CSRankings places Northeastern 13th in the country for overall CS, 1st for Measurement and Performance Analysis, 7th for Cryptography, and 6th for Computer Security.

What is the hardest subject in computer science? ›

Top 7 Toughest Courses In Computer Science Engineering
  • Theory of Computation. Students will learn how to use computers while being aware of their limitations. ...
  • Artificial Intelligence. ...
  • Advanced Database Systems. ...
  • Compiler Design. ...
  • Algorithms. ...
  • Discrete Math. ...
  • Computer Architecture.

What GPA should you have for a PhD? ›

However, as a general guideline, an acceptable Master's GPA often falls from 3.0 to 3.7. Some highly competitive PhD programs may expect even higher GPAs, approaching or exceeding 3.8.

Can I get into a PhD program with a 2.7 GPA? ›

Many grad programs call for a minimum 3.0 undergraduate GPA. However, some programs may admit you with a 2.5 or even 2.0 GPA. Online graduate programs with low GPA requirements allow you to continue your education even if you didn't do great in undergrad. It never hurts to talk to a grad program about your GPA.

Is 3.9 GPA good for PhD? ›

A good GPA is often considered to be at least a 3.0, although most graduate programs and graduate school require a minimum GPA of 3.5 for admission. The highest GPA you can achieve is a 4.0, so having an overall GPA at or above this level is what's usually considered a good GPA.

What is the lowest GPA northeastern will accept? ›

You should also have a 4.04 GPA or higher. If your GPA is lower than this, you need to compensate with a higher SAT/ACT score. For a school as selective as Northeastern University, you'll also need to impress them with the rest of your application.

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