A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- MS
- Credential class
- ceterms:MasterDegree
- CIP
- 27.0304
- Credits (computed from items)
- 81
- Catalog edition
- 2026-2027
- Checklist type
- degree-program
Identifiers
- IPEDS UNITID
- 167358
- CourseShelf checklist
- CK_167358_7bec43da
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Core Requirements
major core · 0 items
Modeling and Linear Algebra
4 items
- Complete 4 semester hours from the following:Not resolved to a course4
- 1
Probability and Analysis
3 items
- Complete 4 semester hours from the following:Not resolved to a course4
- 4
- As published: “Probability 1”1
Statistics
4 items
- Complete 8 semester hours from the following:Not resolved to a course8
- As published: “Machine Learning and Statistical Learning Theory 1”1
- 4
Optional Co-Op Experience
0 items
Complete the following. Students must complete EESC 6500 to qualify for co-op experience:
5 items
- 1
- Complete one of the following:Not resolved to a course0
- 0
- 0
- 0
Data Science Concentration
concentration · 0 items
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to the requirements of this concentration.
concentration · 0 items
Core
major core · 10 items
- Complete 8 semester hours from the following (students may take other Khoury College of Computer Sciences courses not on the list in consultation with their faculty advisor):Not resolved to a course8
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- As published: “Machine Learning and Statistical Learning Theory 1”1
Electives
electives · 1 item
- Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.Not resolved to a course8
MATH
0 items
Mathematical Foundations of Intelligence Concentration
concentration · 0 items
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to the requirements of this concentration.
concentration · 0 items
Core
major core · 9 items
- Complete 8 semester hours from the following (students may take other CS or EECE courses not on the list in consultation with their faculty advisor):Not resolved to a course8
- 4
- 4
- 4
- or: EECE 5639 Computer Vision4
- 4
- 4
- 4
- 4
Electives
electives · 1 item
- Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.Not resolved to a course8
MATH
0 items
Operations Research Concentration
concentration · 0 items
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to the requirements of this concentration.
concentration · 0 items
Core
major core · 9 items
- Complete 8 semester hours from the following (students may take other College of Engineering courses not on the list in consultation with their faculty advisor):Not resolved to a course8
- 4
- MATH 7207Algorithms for OptimizationNot resolved to a course
- 4
- As published: “Probability 2”2
- 4
- 4
- 4
Electives
electives · 1 item
- Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.Not resolved to a course8
MATH
0 items
Electives Option
electives · 1 item
- Complete 16 semester hours in the following subject area. Students may take MATH courses at the 5000 level or above listed in other concentrations or the suggested elective course list. Courses outside of MATH may be chosen with faculty approval.Not resolved to a course16
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to requirements of this option.
0 items
MATH
0 items
Suggested Electives Course List
electives · 0 items
Students may complete other MATH courses not listed below and courses outside of MATH in consultation with their faculty advisor:
18 items
- 4
- 4
- 4
- 2
- 4
- As published: “Numerical Analysis 1”1
- As published: “Numerical Analysis 2”2
- MATH 7207Algorithms for OptimizationNot resolved to a course
- 4
- 4
- As published: “Machine Learning and Statistical Learning Theory 2”2
- As published: “Probability 2”2
- 4
- MATH 7980Capstone: Applications of Statistics and ModelingNot resolved to a course
Additional Courses
0 items
The following are some theoretical MATH courses usually taken in the PhD program (these may not be offered every academic year):
10 items
- 4
- 2
- As published: “Partial Differential Equations 1”1
- 2
Source. Northeastern University, catalog 2026-2027 — https://catalog.northeastern.edu/graduate/science/mathematics/applied-mathematics-ms/. Captured page pages/0173.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.