Master of Science in Artificial Intelligence Engineering
September 16, 2026 2026-09-16 8:59Master of Science in Artificial Intelligence Engineering
An advanced graduate program designed to prepare professionals to design, develop, and apply artificial intelligence technologies across diverse industries and organizational environments. The program integrates computer science, machine learning, data science, intelligent systems, automation, software engineering, and ethical AI development.
Master of Science in Artificial Intelligence Engineering
US$ 5,940
36 Credit Hours
18 Months
9–12 Months
3 Credit Hours
US$ 5,940
Design, Develop, and Apply AI Technologies
Integrate computer science, machine learning, data science, intelligent systems, automation, software engineering, and ethical AI development.
The Master of Science in Artificial Intelligence Engineering is an advanced graduate program designed to prepare professionals to design, develop, and apply artificial intelligence technologies across diverse industries and organizational environments. The program integrates computer science, machine learning, data science, intelligent systems, automation, software engineering, and ethical AI development.
Students examine artificial intelligence foundations, machine learning algorithms, deep learning architectures, natural language processing, computer vision, data analytics, intelligent automation, AI engineering methodologies, and emerging AI applications. The curriculum emphasizes practical AI development, computational problem-solving, responsible AI practices, research methods, and the design of innovative intelligent systems.
Graduates develop advanced competencies in artificial intelligence engineering, machine learning development, data-driven decision-making, AI system design, automation, and technology innovation, preparing them for careers in technology companies, research institutions, financial services, healthcare technology, manufacturing, government agencies, consulting organizations, and other AI-driven industries.
Master of Science in Artificial Intelligence Engineering
18 Months — Traditional Learning Track
9–12 Months — Fast-Track Learning Program
3 Credit Hours per Course
US$ 5,940
Exclusive of applicable University administrative fees
Required Courses
The Master of Science in Artificial Intelligence Engineering requires 36 total credits.
| Course No. | Course Title | Credits |
|---|---|---|
| AIE 6000 | Foundations of Artificial Intelligence Engineering | 3 |
| AIE 6010 | Machine Learning and Intelligent Systems | 3 |
| AIE 6020 | Data Science and Artificial Intelligence Analytics | 3 |
| AIE 6030 | Deep Learning and Neural Networks | 3 |
| AIE 6040 | Natural Language Processing and Generative AI | 3 |
| AIE 6050 | Computer Vision and Intelligent Automation | 3 |
| AIE 6060 | AI Software Engineering and System Development | 3 |
| AIE 6070 | AI Ethics, Governance, and Responsible Innovation | 3 |
| AIE 6080 | Advanced Artificial Intelligence Applications and Research Methods | 3 |
| AIE 6090 | AI Strategy, Deployment, and Emerging Technologies | 3 |
| AIE 6100 | Master's Thesis | 6 |
| Total Credits | 36 | |
Course Descriptions
Select a course to view its description.
AIE 6000 – Foundations of Artificial Intelligence Engineering
Introduces the principles, history, and applications of artificial intelligence engineering. Students examine intelligent systems, AI problem-solving approaches, computational models, and the role of AI in modern organizations and industries.
AIE 6010 – Machine Learning and Intelligent Systems
Explores machine learning concepts, supervised and unsupervised learning, predictive modeling, algorithms, model evaluation, and the development of intelligent systems capable of learning from data.
AIE 6020 – Data Science and Artificial Intelligence Analytics
Examines data collection, data preparation, statistical analysis, predictive analytics, and the application of data science methods to artificial intelligence solutions.
AIE 6030 – Deep Learning and Neural Networks
Focuses on deep learning architectures, neural networks, representation learning, optimization methods, and applications of advanced AI models.
AIE 6040 – Natural Language Processing and Generative AI
Explores computational approaches for understanding and generating human language, including language models, conversational AI, text analytics, and generative artificial intelligence applications.
AIE 6050 – Computer Vision and Intelligent Automation
Examines image processing, visual recognition systems, computer vision algorithms, robotics applications, and intelligent automation technologies.
AIE 6060 – AI Software Engineering and System Development
Develops skills in designing, implementing, testing, and deploying AI-enabled software systems using modern engineering practices and development frameworks.
AIE 6070 – AI Ethics, Governance, and Responsible Innovation
Examines ethical issues in artificial intelligence, algorithmic fairness, privacy, security, transparency, governance frameworks, and responsible AI development practices.
AIE 6080 – Advanced Artificial Intelligence Applications and Research Methods
Explores advanced AI applications across industries, research methodologies, experimental design, evaluation techniques, and emerging developments in artificial intelligence.
AIE 6090 – AI Strategy, Deployment, and Emerging Technologies
Focuses on AI implementation strategies, organizational adoption, technology management, AI infrastructure, innovation leadership, and future trends in intelligent technologies.
AIE 6100 – Master's Thesis
Students complete an original research thesis addressing a significant issue in artificial intelligence engineering, machine learning, intelligent systems, automation, or AI applications. Under faculty supervision, students conduct research, develop AI solutions, analyze technological challenges, and present evidence-based contributions to the field.
Career Opportunities
Graduates are prepared for advanced technology, research, engineering, and leadership roles in artificial intelligence and related fields.
Employment Sectors
Graduates may pursue employment in technology companies, artificial intelligence research organizations, software development companies, healthcare technology organizations, financial services and banking, manufacturing and industrial automation, robotics companies, telecommunications organizations, government technology agencies, defense and security technology organizations, consulting firms, research institutions, universities and academic centers, transportation and autonomous systems companies, e-commerce and digital platforms, energy and environmental technology companies, data analytics organizations, and international technology organizations.
Ready to Engineer the Future of AI?
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