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 one of two tracks offered: data science or coursework. The track option allows students to be able to personalize their education with more in-depth knowledge of data science or other areas of interest. 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.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Methods and Modeling | ||
| MATH 5131 | Introduction to Mathematical Methods and Modeling | 4 |
| Algebra and Analysis | ||
| Complete one of the following: | 4 | |
| Analysis 1: Functions of One Variable | ||
| Applied Linear Algebra and Matrix Analysis | ||
| Algebra 1 | ||
| Probability 1 | ||
| Statistics | ||
| Complete one of the following: | 4 | |
| Machine Learning and Statistical Learning Theory 1 | ||
| Mathematical Statistics | ||
| Applied Statistics | ||
Tracks
Complete one of the following two tracks:
Data Science Track
| Code | Title | Hours |
|---|---|---|
| Data Science Courses | ||
| Complete two of the following: | 8 | |
| Algorithms | ||
| Machine Learning | ||
| Data Mining Techniques | ||
| Collecting, Storing, and Retrieving Data | ||
| Introduction to Data Mining/Machine Learning | ||
| Supervised Machine Learning and Learning Theory | ||
| Unsupervised Machine Learning and Data Mining | ||
| Introduction to Machine Learning and Pattern Recognition | ||
| Machine Learning and Statistical Learning Theory 1 | ||
| Students may take other courses not on the list above from the Khoury College of Computer Sciences in consultation with their faculty advisor. | ||
Coursework Track
| Code | Title | Hours |
|---|---|---|
| Coursework | ||
| Complete 8 semester hours from any subject area. Courses outside of MATH may be chosen with faculty approval. | 8 | |
Electives
| Code | Title | Hours |
|---|---|---|
| Complete 12 semester hours in the following subject area: | 12 | |
MATH | ||
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required