Master of Science in AI Software and Systems Engineering
September 16, 2026 2026-09-16 11:09Master of Science in AI Software and Systems Engineering
An advanced graduate program designed to prepare professionals to design, develop, integrate, and manage intelligent software systems powered by artificial intelligence technologies. The program combines artificial intelligence, software engineering, systems architecture, machine learning, cloud computing, cybersecurity, automation, and intelligent application development.
Master of Science in AI Software and Systems Engineering
US$ 5,940
36 Credit Hours
18 Months
9–12 Months
3 Credit Hours
US$ 5,940
Engineer Intelligent Software Systems
Combine artificial intelligence, software engineering, systems architecture, machine learning, cloud computing, cybersecurity, automation, and intelligent application development.
The Master of Science in AI Software and Systems Engineering is an advanced graduate program designed to prepare professionals to design, develop, integrate, and manage intelligent software systems powered by artificial intelligence technologies. The program combines artificial intelligence, software engineering, systems architecture, machine learning, cloud computing, cybersecurity, automation, and intelligent application development.
Students examine AI-driven software design, intelligent systems architecture, machine learning integration, software development methodologies, distributed computing, data engineering, automation frameworks, AI deployment, and responsible technology development. The curriculum emphasizes engineering principles, scalable AI solutions, software reliability, system optimization, innovation, and the practical implementation of intelligent technologies in complex organizational environments.
Graduates develop advanced competencies in AI software engineering, intelligent system development, software architecture, AI deployment, automation, and technology leadership, preparing them for careers in technology companies, software development organizations, research institutions, financial technology, healthcare technology, government agencies, consulting firms, and AI-driven industries.
Master of Science in AI Software and Systems 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 AI Software and Systems Engineering requires 36 total credits.
| Course No. | Course Title | Credits |
|---|---|---|
| AIS 6000 | Foundations of AI Software and Systems Engineering | 3 |
| AIS 6010 | Advanced Software Engineering for Intelligent Systems | 3 |
| AIS 6020 | Artificial Intelligence Algorithms and Applications | 3 |
| AIS 6030 | Machine Learning Systems and Model Engineering | 3 |
| AIS 6040 | Software Architecture and Intelligent System Design | 3 |
| AIS 6050 | Cloud Computing and AI Infrastructure | 3 |
| AIS 6060 | Data Engineering and AI System Integration | 3 |
| AIS 6070 | Cybersecurity and Reliability of Intelligent Systems | 3 |
| AIS 6080 | AI Software Development Methods and Research Practices | 3 |
| AIS 6090 | Intelligent Systems Deployment and Emerging Technologies | 3 |
| AIS 6100 | Master's Thesis | 6 |
| Total Credits | 36 | |
Course Descriptions
Select a course to view its description.
AIS 6000 – Foundations of AI Software and Systems Engineering
Introduces the principles of artificial intelligence software engineering and intelligent systems development. Students examine AI concepts, software engineering foundations, system architectures, and applications of intelligent technologies.
AIS 6010 – Advanced Software Engineering for Intelligent Systems
Explores advanced software engineering methods, software development processes, design patterns, testing strategies, and engineering practices for building AI-enabled applications.
AIS 6020 – Artificial Intelligence Algorithms and Applications
Examines AI algorithms, problem-solving methods, knowledge representation, reasoning systems, and practical applications of artificial intelligence across industries.
AIS 6030 – Machine Learning Systems and Model Engineering
Focuses on machine learning system design, model development, training processes, performance evaluation, optimization, and integration of machine learning models into software applications.
AIS 6040 – Software Architecture and Intelligent System Design
Explores software architecture principles, scalable system design, intelligent application frameworks, system modeling, and engineering approaches for complex AI solutions.
AIS 6050 – Cloud Computing and AI Infrastructure
Examines cloud platforms, distributed computing, AI infrastructure, data processing environments, deployment pipelines, and scalable architectures for intelligent systems.
AIS 6060 – Data Engineering and AI System Integration
Develops skills in data pipelines, data management, system integration, data processing, and preparing enterprise data environments for AI applications.
AIS 6070 – Cybersecurity and Reliability of Intelligent Systems
Examines cybersecurity principles, secure software development, AI system vulnerabilities, reliability engineering, privacy protection, and methods for building trustworthy intelligent systems.
AIS 6080 – AI Software Development Methods and Research Practices
Develops advanced software development and research skills, including experimental methods, technical evaluation, AI engineering practices, and innovation approaches.
AIS 6090 – Intelligent Systems Deployment and Emerging Technologies
Focuses on deployment strategies, AI operations, intelligent automation, emerging technologies, system management, and future directions in AI software engineering.
AIS 6100 – Master's Thesis
Students complete an original research thesis addressing a significant issue in AI software engineering, intelligent systems development, software architecture, AI deployment, or automation. Under faculty supervision, students conduct research, design intelligent solutions, evaluate system performance, and contribute to advances in AI-driven software and systems engineering.
Career Opportunities
Graduates are prepared for advanced engineering, software development, research, and technology leadership roles.
Employment Sectors
Graduates may pursue employment in artificial intelligence companies, software development organizations, technology and cloud computing companies, healthcare technology organizations, financial technology companies, banking and financial services, manufacturing and industrial automation, robotics and autonomous systems companies, telecommunications organizations, government technology agencies, cybersecurity organizations, research institutions, universities and academic centers, consulting firms, e-commerce and digital platforms, data analytics companies, enterprise technology organizations, and international technology companies.
Ready to Engineer Intelligent Software Systems?
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