Master of Science, Software Engineering - AI Engineering

The Master of Science, Software Engineering - AI Engineering (MSSWEAIE) program involves in-depth training in the principles and practices essential for developing high-quality software systems. Designed to equip students with both theoretical knowledge and hands-on experience, the program covers key areas such as software design, architecture, testing, and project management. Students will learn to apply modern software engineering methodologies and tools to address complex challenges in building scalable, reliable, and maintainable software solutions. MSSWEAIE is a concentration that explores the integration of AI functionalities into existing software systems, covering automation of tasks, optimization of systems for AI performance, and seamless integration of AI components within broader software infrastructures. Additionally, students will understand the ethical considerations and regulatory compliance issues crucial for AI deployment, including topics such as data privacy, ethical algorithm design, and ensuring AI fairness. MSSWEAIE explores project management and leadership within the software development lifecycle, emphasizing leadership skills essential for driving change and navigating the unique challenges and iterative processes of AI system development. Graduates will be well-equipped to design, build, and manage sophisticated software systems in a variety of industries as well as develop strategies for implementing AI at scale to meet business needs in an ethical manner.

Official catalog text — WGU-authored.

Course groups from the WGU Program Guide. Expand each group to see course descriptions and competencies.

Total: 30 CUs across 10 courses. Degree total per catalog: 30 CUs.