- Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
- Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
Complete all courses and requirements listed below unless otherwise indicated.
Align Bridge Coursework
Students are required to take all bridge courses unless otherwise determined by the program.
A grade of B or higher is required in each course.
Code | Title | Hours |
---|---|---|
Fundamentals | ||
CS 5001 and CS 5003 | Intensive Foundations of Computer Science and Recitation for CS 5001 | 4 |
Discrete Structures | ||
CS 5002 | Discrete Structures | 4 |
Object-Oriented Design | ||
CS 5004 and CS 5005 | Object-Oriented Design and Recitation for CS 5004 | 4 |
Additional ALIGN courses | ||
CS 5008 and CS 5009 | Data Structures, Algorithms, and Their Applications within Computer Systems and Recitation for CS 5008 | 4 |
Core Requirements
Code | Title | Hours |
---|---|---|
Algorithms | ||
CS 5800 | Algorithms | 4 |
Breadth Areas
Code | Title | Hours |
---|---|---|
Select three courses from two of the three 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 | ||
Building Game Engines | ||
Compilers | ||
Advanced Software Development | ||
Fundamentals of Cloud Computing | ||
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 | ||
Cybersecurity Principles and Practices | ||
Computer System Security | ||
Information System Forensics | ||
Introduction to Data Management and Processing | ||
Unsupervised Machine Learning and Data Mining |
- 1
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
36-44 total semester hours required
Minimum 3.000 GPA required