MA/MS in Data Science

This master's degree has been offered for more than ten years and prepares students to find insight in data and communicate it as practical solutions. Students build core skills from data processing and statistics to modern artificial intelligence and machine learning. Advanced courses cover deep learning, big data, MLOps, reinforcement learning, generative AI, analysis of social media and natural language processing. Interpersonal and data-storytelling skills are part of the interdisciplinary design. The degree requires thirty graduate credit hours. Current students from outside computer science can explore an accelerated bachelor's and master's option, and the program is also available online. Applicants can request information or apply from the program page, which also lists application requirements. The curriculum includes optional preparatory courses for students who need to strengthen their background before the core sequence.