Applied Mathematics, MS (Boston)

Graduatemajor2027 catalogScienceBoston32 semester hours totalverified parse

Official catalog page for this program

Modeling and Linear Algebra

From the catalog
Complete 4 semester hours from the following:

Choose 4 semester hours from:
- MATH 5110 — Applied Linear Algebra and Matrix Analysis
- MATH 5111 — Algebra 1
- MATH 5131 — Introduction to Mathematical Methods and Modeling

Probability and Analysis

From the catalog
Complete 4 semester hours from the following:

Choose 4 semester hours from:
- MATH 5101 — Analysis 1: Functions of One Variable
- MATH 7241 — Probability 1

Statistics

From the catalog
Complete 8 semester hours from the following:

Choose 8 semester hours from:
- MATH 7243 — Machine Learning and Statistical Learning Theory 1
- MATH 7342 — Mathematical Statistics
- MATH 7343 — Applied Statistics

Optional Co-Op Experience

From the catalog
Complete the following. Students must complete EESC 6500 to qualify for co-op experience:

EESC 6500 — Pathways to Professional Success
From the catalog
Complete one of the following:
One of:
- EESC 6964 — Co-op Work Experience
- EESC 6954 — Co-op Work Experience - Half-Time
- EESC 6965 — Co-op Work Experience Abroad

Suggested Electives Course List

From the catalog
Students may complete other MATH courses not listed below and courses outside of MATH in consultation with their faculty advisor:

One of:
- DS 5110 — Essentials of Data Science
- EECE 7205 — Fundamentals of Computer Engineering
- MATH 5010 — Foundations of Statistical Theory and Probability
- MATH 5352 — Quantum Computation and Information
- MATH 6241 — Stochastic Processes
- MATH 6243 — Statistical Learning
- MATH 6910 — Master's Project
- MATH 7203 — Numerical Analysis 1
- MATH 7205 — Numerical Analysis 2
- MATH 7207 — Algorithms for Optimization
- 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
- MATH 7980 — Capstone: Applications of Statistics and Modeling

Additional Courses

From the catalog
The following are some theoretical MATH courses usually taken in the PhD program (these may not be offered every academic year):

One of:
- MATH 5102 — Analysis 2: Functions of Several Variables
- MATH 5112 — Algebra 2
- MATH 7202 — Partial Differential Equations 1
- MATH 7221 — Topology 2
- MATH 7315 — Algebraic Number Theory
- MATH 7320 — Modern Algebraic Geometry
- MATH 7371 — Morse Theory
- MATH 7381 — Topics in Combinatorics
- MATH 7741 — Readings in Probability and Statistics
- MATH 8450 — Research Seminar in Mathematics

Concentrations

Data Science

From the catalog
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):
Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.
MATH

Choose 8 semester hours from:
- 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

Mathematical Foundations of Intelligence

From the catalog
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):
Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.
MATH

Choose 8 semester hours from:
- CS 5100 — Foundations of Artificial Intelligence
- CS 5130 — Applied Programming and Data Processing for AI
- CS 5180 — Reinforcement Learning and Sequential Decision Making
- One of:
  - CS 5330 — Pattern Recognition and Computer Vision
  - EECE 5639 — Computer Vision
- CS 6120 — Natural Language Processing
- CS 6180 — Foundations for Generative AI
- CS 7150 — Deep Learning
- CS 7180 — Special Topics in Artificial Intelligence

Operations Research

From the catalog
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):
Complete 8 semester hours of courses at the 5000 level or above in the following subject area. See suggested elective course list.
MATH

Choose 8 semester hours from:
- IE 7200 — Supply Chain Engineering
- MATH 7207 — Algorithms for Optimization
- MATH 7234 — Optimization and Complexity
- MATH 7341 — Probability 2
- OR 6205 — Deterministic Operations Research
- OR 7230 — Probabilistic Operation Research
- OR 7245 — Network Analysis and Advanced Optimization
- OR 7310 — Logistics, Warehousing, and Scheduling

GPA requirements

32 total semester hours required (33 semester hours for students who opt to participate in co-op) Minimum 3.000 GPA required

Parsed from the catalog by NU Map; the structured machine copy is in this college's JSON for the 2027 catalog, under applied-mathematics-ms-boston, and the official page is the authority.