As a collaboration between Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, and D’Amore-McKim School of Business, the Network Science PhD program instills problem-solving strategies through rigorous training that transcends disciplinary thinking. Through exposure to diverse disciplinary paradigms, intellectual traditions, and mathematical perspectives, you’re encouraged to think critically and independently while carving out your own identity—and shaping your own future.
The Network Science doctoral degree is full-time. Students typically enroll in courses during the fall and spring semesters, and work on research projects in the summer. The program is structured as a four- to five-year course of study, with the length of time dependent on the student’s course schedule, pace of work, and dissertation study.
As a collaboration between Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, and D’Amore-McKim School of Business, the Network Science PhD program instills problem-solving strategies through rigorous training that transcends disciplinary thinking. Through exposure to diverse disciplinary paradigms, intellectual traditions, and mathematical perspectives, you’re encouraged to think critically and independently while carving out your own identity—and shaping your own future.
The Network Science doctoral degree is full-time. Students typically enroll in courses during the fall and spring semesters, and work on research projects in the summer. The program is structured as a four- to five-year course of study, with the length of time dependent on the student’s course schedule, pace of work, and dissertation study.
As a collaboration between Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, and D’Amore-McKim School of Business, the Network Science PhD program instills problem-solving strategies through rigorous training that transcends disciplinary thinking. Through exposure to diverse disciplinary paradigms, intellectual traditions, and mathematical perspectives, you’re encouraged to think critically and independently while carving out your own identity—and shaping your own future.
The Network Science doctoral degree is full-time. Students typically enroll in courses during the fall and spring semesters, and work on research projects in the summer. The program is structured as a four- to five-year course of study, with the length of time dependent on the student’s course schedule, pace of work, and dissertation study.
As a collaboration between Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, and D’Amore-McKim School of Business, the Network Science PhD program instills problem-solving strategies through rigorous training that transcends disciplinary thinking. Through exposure to diverse disciplinary paradigms, intellectual traditions, and mathematical perspectives, you’re encouraged to think critically and independently while carving out your own identity—and shaping your own future.
The Network Science doctoral degree is full-time. Students typically enroll in courses during the fall and spring semesters, and work on research projects in the summer. The program is structured as a four- to five-year course of study, with the length of time dependent on the student’s course schedule, pace of work, and dissertation study.
A student is considered a PhD degree candidate upon:
Completion of all required coursework with a minimum cumulative 3.0 GPA.
Satisfactory completion of qualifying examination and comprehensive examination.
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
Completion of all required coursework with a minimum cumulative 3.0 GPA.
Satisfactory completion of qualifying examination and comprehensive examination.
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
Completion of all required coursework with a minimum cumulative 3.0 GPA.
Satisfactory completion of qualifying examination and comprehensive examination.
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
Completion of all required coursework with a minimum cumulative 3.0 GPA.
Satisfactory completion of qualifying examination and comprehensive examination.
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
A student is considered a PhD degree candidate upon:
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
A student is considered a PhD degree candidate upon:
The qualifying exam is conducted by the Network Science Graduate Program Committee to test a student’s knowledge and fluency of the core course material.
A PhD student must submit a written dissertation proposal to the dissertation committee. The proposal should identify the research problem, the research plan, and its 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 dissertation committee.
A PhD student’s research work culminates in a dissertation, which is defended as a public presentation followed by a closed evaluation with the dissertation committee.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
and
or
or
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
Students are required to complete a total of 38 units of core and elective courses for the PhD in Network Science. The following seven core courses (26 SH) are taken by all students:
PHYS 5116 – Complex Networks and Applications (Fall, 4 units)
PHYS 7331 – Network Science Data I (Fall, 4 units)
PHYS 7335 – Dynamical Processes in Complex Networks (Fall, 4 units)
NETS 8941 – Network Science Literature Review (Fall, 2 units)
and
POLS 7334 – Social Networks Analysis (Spring, 4 units)
or
CS 6220 – Data Mining Techniques (Spring, 4 units)
or
PHYS 7332 – Network Science Data II (Spring, 4 units)
Additionally, students devote half of their time to research activities with one course of directed independent research activities (4 SH), and two courses of dissertation study (8 SH). The directed study course offers students a chance to formally consider a faculty member as a potential advisor.
The PhD in Network Science is an interdisciplinary program that provides conceptual and mathematical tools to describe and predict networks. Students will demonstrate a graduate-level understanding of foundational network science concepts, including:
Additionally, students will demonstrate a graduate-level understanding of non-network methods that enable network research, including:
Students will also attain a deep understanding of other substantive domains complementary to network science, such as physics, political science, and computer science, and are expected to communicate network science concepts, processes, and results effectively—verbally and in writing—to prepare for potential careers that include industrial research positions, government consultants, and post-doctoral or junior faculty positions in academic institutions.
The PhD in Network Science is an interdisciplinary program that provides conceptual and mathematical tools to describe and predict networks. Students will demonstrate a graduate-level understanding of foundational network science concepts, including:
Additionally, students will demonstrate a graduate-level understanding of non-network methods that enable network research, including:
Students will also attain a deep understanding of other substantive domains complementary to network science, such as physics, political science, and computer science, and are expected to communicate network science concepts, processes, and results effectively—verbally and in writing—to prepare for potential careers that include industrial research positions, government consultants, and post-doctoral or junior faculty positions in academic institutions.
The PhD in Network Science is an interdisciplinary program that provides conceptual and mathematical tools to describe and predict networks. Students will demonstrate a graduate-level understanding of foundational network science concepts, including:
Additionally, students will demonstrate a graduate-level understanding of non-network methods that enable network research, including:
Students will also attain a deep understanding of other substantive domains complementary to network science, such as physics, political science, and computer science, and are expected to communicate network science concepts, processes, and results effectively—verbally and in writing—to prepare for potential careers that include industrial research positions, government consultants, and post-doctoral or junior faculty positions in academic institutions.
The PhD in Network Science is an interdisciplinary program that provides conceptual and mathematical tools to describe and predict networks. Students will demonstrate a graduate-level understanding of foundational network science concepts, including:
Additionally, students will demonstrate a graduate-level understanding of non-network methods that enable network research, including:
Students will also attain a deep understanding of other substantive domains complementary to network science, such as physics, political science, and computer science, and are expected to communicate network science concepts, processes, and results effectively—verbally and in writing—to prepare for potential careers that include industrial research positions, government consultants, and post-doctoral or junior faculty positions in academic institutions.
Upon program completion, graduates will demonstrate an understanding of foundational network science concepts. You will be able to:
Gain knowledge of current network science research with the ability to articulate and discuss open questions in the field. Through journal clubs and various speaker series, students regularly engage in deep exploration of both foundational discoveries and current advances in the field—making them well informed and adept to discuss major tensions and challenges in the field.
Upon program completion, graduates will demonstrate an understanding of foundational network science concepts. You will be able to:
Gain knowledge of current network science research with the ability to articulate and discuss open questions in the field. Through journal clubs and various speaker series, students regularly engage in deep exploration of both foundational discoveries and current advances in the field—making them well informed and adept to discuss major tensions and challenges in the field.
Upon program completion, graduates will demonstrate an understanding of foundational network science concepts. You will be able to:
Gain knowledge of current network science research with the ability to articulate and discuss open questions in the field. Through journal clubs and various speaker series, students regularly engage in deep exploration of both foundational discoveries and current advances in the field—making them well informed and adept to discuss major tensions and challenges in the field.
Upon program completion, graduates will demonstrate an understanding of foundational network science concepts. You will be able to:
Gain knowledge of current network science research with the ability to articulate and discuss open questions in the field. Through journal clubs and various speaker series, students regularly engage in deep exploration of both foundational discoveries and current advances in the field—making them well informed and adept to discuss major tensions and challenges in the field.
