| Program start date | Application deadline |
| 2024-05-01 | - |
| 2024-08-01 | - |
| 2024-01-01 | - |
| 2025-05-01 | 2025-04-01 |
| 2025-08-01 | 2025-07-01 |
| 2025-01-01 | 2024-10-01 |
Program Overview
The Master of Science in Artificial Intelligence at Bay Atlantic University equips students with the knowledge and skills in AI, including core courses in data analytics, deep learning, and machine learning. With 15 elective credits, students can tailor their education to their interests, preparing them for careers in AI-related fields such as AI Engineering and Machine Learning Engineering. The program is designed to meet the growing demand for professionals in the rapidly expanding AI industry.
Program Outline
Degree Overview:
The Master of Science in Artificial Intelligence degree is earned by completing the program course requirements of 36 credit hours (12 courses of 3 credit hours), of which 21 credits are core courses and 15 credits are elective courses. To qualify for the Master of Science in Artificial Intelligence degree, students must meet all core and concentration elective credit requirements.
Program Outcomes:
Understand the major concepts and theories of economics and finance. Undertake quantitative data analysis using the latest technology and software. Think critically about socioeconomic and financial issues in the diverse global context of the contemporary world. Be able to clearly express their ideas in writing and through oral communication.
Outline:
Core Requirements: 21 Credits (7 Courses)
| Course Code | Course | Pre-requisites | Credits | |---|---|---|---| | BGDA 511 | Big Data Analytics | CMPS 514 | 3 | | BGDA 513 | Artificial Intelligence | BGDA 511 | 3 | | BGDA 515 | Fundamental of Deep Learning | BGDA 511 | 3 | | CAPS 623 | Internship | All Cores | 3 | | CMPS 514 | Management Information Systems | | 3 | | CMPS 516 | Models and Algorithms in AI Engineering | BGDA 511 | 3 | | CMPS 530 | Machine Learning and Pattern Recognition | BDGA 522 or CMPS 516 | 3 |
Electives: 15 Credits (Choose 5 Courses)
| Course Code | Course | Pre-requisites | Credits | |---|---|---|---| | BGDA 510 | Data Mining | CMPS 514 | 3 | | CMPS 515 | Network Security & Cryptography | CMPS 514 | 3 | | CMPS 520 | Database Design Concepts | | 3 | | CMPS 524 | Computer Networks and Mobile Communications | CMPS 514 | 3 | | CMPS 525 | Cloud Computing and Infrastructure | | 3 | | CMPS 560 | Object-Oriented Software Development | | 3 | | CMPS 565 | Cloud Data Storage Management | | 3 | | CMPS 570 | Software Design and Architecture | CMPS 564 | 3 | | CMPS 610 | Natural Language Processing | CMPS 516 | 3 | | CMPS 612 | Image Processing and Computer Visualization | CMPS 516 | 3 |
Careers:
The program will prepare students for career positions such as AI Engineer, Machine Learning Engineer, Analytics Research Scientist, Data Scientist Engineer, etc. The market for the workforce in the industry, commercially and academically, is continually growing worldwide, which places our graduates in very high demand. Student Services offers various career preparation and personal development opportunities, including writing, speaking, and academic workshops, diverse clubs, and frequent social events. Students have the opportunity to live in the Island Condos student housing complex in Brookland, Washington, D.C., and have access to a school shuttle bus and WMATA U-Pass card to travel around the region quickly and affordably.