Missouri S&T’s applied artificial intelligence master’s degree is a 31-credit, non-thesis program featuring project-based coursework and interdisciplinary learning. Students take core courses in advanced computing, probability and AI, then choose AI electives in areas like machine learning, deep learning, computer vision, natural language processing and reinforcement learning.
The “X” is your field. Students personalize the degree by choosing up to four elective courses that connect applied AI to a STEM discipline:
- Aerospace engineering
- Chemical engineering
- Civil engineering
- Mechanical engineering
- Systems engineering
- Biology
- Mathematics
- Physics
AI’s value shows up when it is applied to a specific industry. A few examples:
- AI + manufacturing. Engineers use AI to predict equipment failures before they happen, spot defects on production lines with computer vision, and optimize processes in real time. A background in mechanical, chemical or systems engineering lets graduates design these systems around how plants and processes actually work.
- AI + health care. AI is speeding up drug discovery, interpreting medical images and finding patterns in genetic and clinical data. Pairing AI with biology prepares graduates to work where data science meets the life sciences.
- AI + finance. Financial firms rely on machine learning for fraud detection, risk modeling and forecasting. A focus in mathematics gives graduates the statistical and modeling depth these applications demand.
Graduates leave with something employers find hard to hire for: deep AI skills combined with the domain knowledge to know which problems are worth solving and what a good solution looks like in practice.