Artificial Intelligence, Global MS (Online in Mongolian)

The Master of Science in Artificial Intelligence (MSAI) is an applied, STEM-designated program that equips students with the technical, analytical, and business skills needed to bridge the gap between AI innovation and its practical application across industries and geographies. The program develops professionals who can identify AI opportunities within business problems, design and build working solutions using AI-assisted development tools, evaluate their effectiveness, and lead organizational adoption. The curriculum emphasizes the use of AI in strategic decision-making, operations, ethics, and innovation within enterprises, and requires no prior programming background or advanced mathematics. Each course concludes with an applied deliverable, and the program culminates in a capstone project completed for an authentic organizational client.

As the landmark program of Golden Gate University – an AI-native institution in which AI is foundational to teaching, learning, and assessment – the MSAI prepares graduates with a professional portfolio and enduring competencies in problem framing, solution design, evaluation, and governance, positioning them to meet the growing global demand for AI expertise in business and entrepreneurship.

Graduates of the Master of Science in Artificial Intelligence will be able to:

1. Analyze and evaluate AI technologies and emerging applications, including their capabilities, limitations, and suitability for addressing complex problems across diverse organizational and industry contexts.
2. Analyze complex organizational and business problems and apply critical, analytical, and design-thinking approaches to identify opportunities for AI-driven solutions that advance organizational goals and innovation.
3. Design, develop, and deploy AI-powered solutions – including agents, automations, predictive analytics, and applications – using appropriate AI technologies, platforms, and applied programming methods.
4. Evaluate AI solutions and projects using appropriate research, analytical, and evaluation methods to assess performance, accuracy, fairness, safety, reliability, and fitness for purpose.
5. Manage and lead AI projects and initiatives from problem definition and solution design through implementation, deployment, and continuous improvement, including effective decision-making regarding AI adoption and organizational implementation.
6. Apply principles of responsible AI by addressing ethical, legal, regulatory, privacy, bias, governance, and societal considerations in the design, deployment, and use of AI across diverse jurisdictions and organizational contexts.
7. Develop and communicate AI-driven recommendations and solutions that demonstrate the integration of technical, analytical, business, and leadership competencies through substantial applied projects addressing authentic organizational or professional challenges.