Northeastern University’s Master of Science in Computer Science is designed to prepare students for a variety of careers in computer science. The program combines both computing and important application domains—enabling you to increase your broad-based knowledge in the field while allowing you to delve deeper in specific areas through elective courses.
Complete all courses and requirements listed below unless otherwise indicated.
Students should refer to the course numbering table for graduate course leveling.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Programming | ||
| CS 5010 | Programming Design Paradigm | 4 |
| Algorithms | ||
| CS 5800 | Algorithms | 4 |
Breadth Areas
| Code | Title | Hours |
|---|---|---|
| Complete three courses from two of the following breadth areas: | 12 | |
| Systems and Software | ||
| Principles of Programming Language | ||
| Foundations of Software Engineering | ||
| Mobile Application Development | ||
| Computer Systems | ||
| Web Development | ||
| Fundamentals of Computer Networking | ||
| Compilers | ||
| Advanced Software Development | ||
| Building Scalable Distributed Systems | ||
| Wireless Network | ||
| Theory and Security | ||
| Privacy, Security, and Usability | ||
| Complexity Theory | ||
| Software Vulnerabilities and Security | ||
| Network Security | ||
| Artificial Intelligence and Data Science | ||
| Foundations of Artificial Intelligence | ||
| Game Artificial Intelligence | ||
| Database Management Systems | ||
| Pattern Recognition and Computer Vision | ||
| Natural Language Processing | ||
| Machine Learning | ||
| Information Retrieval | ||
| Data Mining Techniques | ||
| Large-Scale Parallel Data Processing | ||
| Advanced Machine Learning | ||
Electives
| Code | Title | Hours |
|---|---|---|
| Complete 12 semester hours from the following: 1 | 12 | |
| Mixed Reality | ||
| Thesis | ||
| Master’s Project | ||
| Readings | ||
| Foundations of Information Assurance | ||
| Computer System Security | ||
| Information System Forensics | ||
| Introduction to Data Management and Processing | ||
| Unsupervised Machine Learning and Data Mining | ||
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Specific electives such as CS 7980 Research Capstone, CS 7990 Thesis, or CS 8674 Master’s Project may be required at certain Northeastern campuses. Students should consult with their program advisor when developing a plan of study.
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required