Network Science, PhD

Alessandro Vespignani, PhD
Sternberg Distinguished Professor and Director for the Network Science Program

Network Science Program
056 Holmes Hall
617.373.8856
617.373.5884 (fax)
Website
networkscience@northeastern.edu

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 Science, the College of Computer and Information Science, the College of Social Sciences and Humanities, Bouvé College of Health Sciences, the College of Engineering, and the College of Arts, Media and Design—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 concentration courses.

Course work is dependent on a student’s area of concentration and subject to prior approval by their faculty advisor. Required course work includes the following: three foundational courses in network science Complex Networks and Applications (PHYS 5116) ; Network Science Data (PHYS 7331); and Dynamical Processes in Complex Networks (PHYS 7335); one of two approved courses (Social Network Analysis or Network Data Mining); 12 semester hours of elective course work defined by their specific track; and two research courses with core faculty of the program. A minimum of 32 credit hours of course work is required, though the graduate program committee may recommend additional course work 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 course work. 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. The dissertation committee must be approved by the graduate program committee and constituted no later than the end of the spring semester of the first year of the program. Students may repeat the comprehensive examination once if they are unsuccessful.

Qualifying Examination

The qualifying examination consists of a two-part exam conducted by the Qualifying Examination and Dissertation Committee. The technical component of the exam is fulfilled when the student passes the comprehensive exam (see below), normally expected to be completed the spring semester of the second year. The research core of the qualifying exam is fulfilled with the acceptance of a high-quality paper to a strong peer-reviewed conference or journal. This might happen anytime during the PhD program but at least one year prior to the dissertation defense. Students who fail to complete the two-part qualifying examination but who have completed all the PhD program’s required course work 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.

Degree Candidacy

A student is considered a PhD degree candidate upon completion of required course work with a minimum GPA of 3.000 overall in all courses and satisfactory completion of the two-part qualifying examination.

Comprehensive Examination

Students must submit a written dissertation proposal to the Qualifying Examination and Dissertation Committee. The proposal should identify the research problem, the research plan, and the potential impact on the field. A presentation of the proposal will be made in an open forum, and the student must successfully defend it before the Qualifying Examination and Dissertation Committee. 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 the College of Science policies.

Complete all courses and requirements listed below unless otherwise indicated.

Milestones

Annual review
Dissertation committee
First author publication
Dissertation proposal
Dissertation defense

Core Course Work

Networks
CS 6220Data Mining Techniques4
or POLS 7334 Social Networks
PHYS 5116Complex Networks and Applications4
PHYS 7331Network Science Data4
PHYS 7335Dynamical Processes in Complex Networks4
Research
Complete the following (repeatable) course twice:
NETS 8984Research1-4

Specialization

Complete 12 semester hours of course work. Areas of specialization include:

Computer Science

CS 6140Machine Learning4
CS 6220Data Mining Techniques4
CS 6240Parallel Data Processing in MapReduce4
CS 7800Advanced Algorithms4
NETS 7341Network Economics4

Political Science

POLS 7200Perspectives on Social Science Inquiry3
POLS 7201Research Design3
POLS 7202Quantitative Techniques3
NETS 7341Network Economics4
Additional courses TBA.

Epidemiology

PHTH 5202Epidemiology3 or 4
PHTH 5224Social Epidemiology3
PHTH 5240Evaluating Scientific Evidence3
NETS 7341Network Economics4
Additional courses TBA.

Engineering

EECE 7200Linear Systems Analysis4
EECE 7204Applied Probability and Stochastic Processes4
EECE 7323Numerical Optimization Methods4
EECE 7374Fundamentals of Computer Networks4
NETS 7341Network Economics4

Physics 

PHYS 7305Statistical Physics4
PHYS 5318Principles of Experimental Physics4
PHYS 7321Computational Physics4
PHYS 7731Biological Physics 14

Math  

MATH 7241Probability 14
MATH 7233Graph Theory4
MATH 7375Topics in Topology4
MATH 7733Readings in Graph Theory4
NETS 7341Network Economics4

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required