Bay Atlantic University United States

Master of Science in AI Engineering

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in AI Engineering at Bay Atlantic University is designed for ambitious professionals seeking to lead in the rapidly advancing field of artificial intelligence. You will delve into core areas such as Big Data Analytics, Machine Learning, and Deep Learning, gaining the expertise to design, develop, and deploy sophisticated AI systems. This postgraduate program equips you with a robust understanding of AI models and algorithms, preparing you to tackle complex challenges and drive innovation in technology and beyond. If you are looking to specialise in a high-demand discipline, this degree offers a comprehensive and forward-thinking curriculum.

This full-time, on-campus Masters degree is structured over two years, integrating theoretical knowledge with practical application. Your learning journey will involve core coursework, including essential subjects like Management Information Systems and fundamental AI principles, alongside a selection of electives that allow you to tailor your studies. A key component of the program is the internship opportunity, providing invaluable real-world experience. You will graduate with the advanced skills and practical insights necessary to pursue impactful careers in AI engineering, data science, and related technology sectors.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Master of Science in AI Engineering program provides a comprehensive foundation in artificial intelligence and its applications. Core requirements include courses in Big Data Analytics, Artificial Intelligence, Fundamental of Deep Learning, Management Information Systems, Models and Algorithms in AI Engineering, and Machine Learning and Pattern Recognition, along with an internship. Students further specialize through a selection of electives, choosing from topics such as Data Mining, Network Security & Cryptography, Database Design Concepts, Computer Networks and Mobile Communications, Cloud Computing and Infrastructure, Object-Oriented Software Development, Cloud Data Storage Management, Software Design and Architecture, Natural Language Processing, and Image Processing and Computer Visualization.

1 Core Requirements: 21 Credits (7 Courses)

Big Data Analytics
Artificial Intelligence
Fundamental of Deep Learning
Internship
Management Information Systems
Models and Algorithms in AI Engineering
Machine Learning and Pattern Recognition

2 Electives: 15 Credits (Choose 5 Courses)

Data Mining
Network Security & Cryptography
Database Design Concepts
Computer Networks and Mobile Communications
Cloud Computing and Infrastructure
Object-Oriented Software Development
Cloud Data Storage Management
Software Design and Architecture
Natural Language Processing
Image Processing and Computer Visualization

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 23,400.00
Second Year Fee Tuition fee
USD 23,400.00
Total Program Cost Estimated total tuition
USD 46,800.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,180.00 - USD 3,139.00
Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Washington D.C Campus.

Why Study Master of Science in AI Engineering at Bay Atlantic University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Moderate Application response time

Bay Atlantic University typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Bay Atlantic University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science in AI Engineering at Bay Atlantic University

Can I work while studying?

International students can work up to 20 hours per week during classes and full-time during breaks without needing a separate work permit. On-campus jobs do not require additional approvals.

What English language score do I need for this course?

To meet English language requirements, you can provide scores from tests like Duolingo, TOEFL, IELTS, or PTE, each with specific minimum scores across various sections. Make sure you achieve the necessary scores to qualify for admission.

What jobs can I get after studying this course?

Job titles include Data Scientist, AI Engineer, Machine Learning Specialist, and Software Developer.

What will I actually study in this course?

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.

Students should meet the following minimum requirements to qualify for a graduate degree:
Minimum

When can I start — what are the intake months?

The Master of Science in AI Engineering program has three intake months: January, May, and August. You can begin your studies during any of these months.
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