Master of Science in Applied Mathematics

The MS Applied Mathematics degree prepares students to excel in the world of Big Data and AI.

94%

Northeastern University prepares graduates for the future of work. 94% of graduates land industry-related jobs.

$104K

Average annual salary for data scientist (U.S. Bureau of Labor Statistics, 2022)

30%

Projected growth in employment for mathematicians from 2022 to 2032 (U.S. Bureau of Labor Statistics, 2022)

New applications of mathematics are constantly being discovered, and established techniques are being applied in new ways and in emerging fields. Students have the option to participate in the Data Science Concentration or an Electives Option. The concentration option allows students to be able to personalize their education with more in-depth knowledge of data science or other areas of interest. Learn more here.

Northeastern’s Master of Science in Applied Mathematics caters to students who are looking to enter or who are currently working in a variety of applied math careers, such as financial service and investment firms, data science and high-tech firms, computer information and software firms, and academic institutions and research institutes.

Need more flexibility?

We also offer a MS in Mathematics, MS in Operations Research, and a PhD program. Learn more here.

Commitment

  • 1-2 years
  • Full-time & part-time offerings
  • On campus in Boston

International Students

Program meets F1 Visa Requirements

Find out what additional documents are required to apply here.

Tuition and Financing

Get information on program tuition and fees here.

Learn about financing your education here.

Application Deadlines

Learn more here.

Requirements

  • Online application
  • Application fee
  • All transcripts
  • Personal statement
  • Resumé
  • 2 letters of recommendation
  • Minimum GPA of 3.0

Apply

Learn more about the application process and requirements here.

Learn how you can become part of the next generation of applied mathematics professionals in our Applied Mathematics MS Program Overview.

Core Requirements
Modeling and Linear Algebra (4 semester hours)
MATH 5110, Applied Linear Algebra and Matrix Analysis
MATH 5111, Algebra 1
MATH 5131, Introduction to Mathematical Methods and Modeling
Probability and Analysis (4 semester hours)
MATH 5101, Analysis 1: Functions of One Variable
MATH 7241, Probability 1
Statistics (8 semester hours)
MATH 7243, Machine Learning and Statistical Learning Theory 1
MATH 7342, Mathematical Statistics
MATH 7343, Applied Statistics
Data Science Concentration
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to the requirements of this concentration.
Core (8 semester hours)
CS 5800, Algorithms
CS 6140, Machine Learning
CS 6220, Data Mining Techniques
DA 5020, Collecting, Storing, and Retrieving Data
DA 5030, Introduction to Data Mining/Machine Learning
DS 5220, Supervised Machine Learning and Learning Theory
DS 5230, Unsupervised Machine Learning and Data Mining
EECE 5644, Introduction to Machine Learning and Pattern Recognition
MATH 7243, Machine Learning and Statistical Learning Theory 1
Other

Students may take other Khoury College of Computer Sciences courses not on the list in consultation with their faculty advisor.

Electives (8 semester hours)
MATH, 5000 level or above

See the suggested elective course list below.

Electives Option (16 semester hours)
No more than 8 semester hours of coursework outside of the MATH subject code may be applied to requirements of this option.
MATH, 5000 level or above

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.

Suggested Electives Course List
DS 5110, Introduction to Data Management and Processing
EECE 7205, Fundamentals of Computer Engineering
MATH 5352, Quantum Computation and Information
MATH 7203, Numerical Analysis 1
MATH 7205, Numerical Analysis 2
MATH 7223, Riemannian Optimization
MATH 7233, Graph Theory
MATH 7234, Optimization and Complexity
MATH 7339, Machine Learning and Statistical Learning Theory 2
MATH 7341, Probability 2
MATH 7342, Mathematical Statistics
MATH 7344, Regression, ANOVA, and Design
Other Electives

Students may complete other MATH courses not listed here and courses outside of MATH in consultation with their faculty advisor. See the Northeastern catalog more information.

Meet Rohit

Rohit Thakur decided to pursue a MS in Operations Research at the College of Science to develop his mathematical thinking. He has completed two co-ops during his time here, at Rue Gilt and Nestle, which have broadened his horizons.

“My classes at Northeastern provided me with the in-depth knowledge and hands-on skills required to excel in my co-ops. The professors are industry experts who keep an outstanding balance between application and theory when teaching any course.”

Hear more on his experience here.

Karissa Stisser, MS in Applied Mathematics
Jenny Li, MS in Applied Mathematics
Tigran Melkonian, MS in Applied Mathematics

Get involved in our research

Our faculty are involved in 14 research groups focused on mathematics including Probability and Statistics, Partial Differential Equations and Dynamical Systems, Combinatoric and Discrete Math. Learn more here.

Delve into your future career path on co-op

The department of mathematics’ graduate co-op program allows students to take a four- to eight-month term during their degree to gain industry experience in their chosen field. Our co-op coordinator is dedicated to helping develop each student’s career direction and job opportunities.

Students from the program find co-op appointments in a wide variety of fields, including scientific modeling and research, consumer and business analytics, financial modeling, healthcare analytics, and statistical analysis. Learn more here.

Career Outlook

Earning a degree at Northeastern opens the door to a network of more than 275,000 alumni and 3,350+ employer partners, including government agencies, Fortune 500 companies, and global nongovernmental organizations. As a result, our community expands continents, furthering our commitment to global, lifelong connections. Learn more here.

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