Education

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

• Didactic coursework
  
  
  • 21 hours of core coursework
  • 9 - 10 hours of elective coursework
• A Capstone Project (5-6 hours)
• A total of 36 credit hours

Semester 1	Semester 2	Semester 3
STAT 7110 – Statistical Models and Methods (3) DATS 7510 –Programming for Data Analysis (3) 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:

• A student may choose to finish the program within a single calendar year in three semesters as shown in the above table.
• A student may also elect to finish the program in two years on a part-time basis.