The Master of Science (MS) degree with a Major in Data Science provides individuals with rigorous training in data science methods in order to empower aspiring students with innovative data science methods to address complex problems facing the society and well-being of humankind. The program will give students a strong foundation and expertise in quantitative methods, machine learning tools and data management skills for optimally visualizing, summarizing and analyzing large and complex data.
The MS Data Science program curriculum includes
Check out a complete sample list of the courses and course descriptions.
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Semester 1 |
Semester 2 |
Semester 3 |
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STAT 7110 – Statistical Models and Methods (3) DATS 7510 –Programming STAT 7530 – Computing for Data Science (3) Elective one (3 or 4) Elective two (3) |
STAT 7630 – Applied Linear Models (3) DATS 7760 – Data and Visual Analytics (3) STAT 7670 - Modern Methods of Multivariate Analysis (3) DATS 7860 - Statistical and Machine Learning for Big Data (3) Elective three (3) |
DATS 7900 - Capstone Project in Data Science (5 or 6) |
Notes:
For more information on the course pre-requisites and other requirements for applying to the MS program in Biostatistics, see our Prospective Students page.
