The MSDS program prepares students to process and analyze large-scale data sources to support decision-making and improve efficiency in a range of industries. Graduates will be able to combine theoretical data concepts with their practical applications in data mining, Internet of Things (IoT) and artificial intelligence, among others.

30

Credits

9

Average credits 
per semester

9

Maximum 
transferrable credits

Twelve of the 30 credits needed to graduate are required: Introduction to Data Science (3), Mathematics and Statistics for Data Science (3), Python Programming for Data Science (3), and the Data Science Capstone (3).

Students select 12 credits from a list of specialized courses, which include more in-depth subjects like machine learning, big data, large language models and deep learning. The remaining six credits are fulfilled through elective coursework.

Fall classes start

August 18

Program Format

  In-person classes

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