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Master of Science in Data Science
While data science is still a relatively new career field, employers are increasingly recognizing the value of employees who have this expertise.
About The Programme
Today, data scientists are working at a range of organizations, including in fields such as product development, marketing, and public health, as well as scientific research in areas like genomics, drug discovery, climate science, neuroscience, particle physics, and research institutions. The sheer amount of data available to firms and the tools used to analyze this information has expanded tremendously in the past decade
Course Details
Course Requirements
Core Curriculum: 30 credit hours
- Python Programming (MSDS 5033) – 3 hours
- Probability & Inference for Data Science (MSDS 5103) – 3 credit hours
- Introduction to Statistical Modeling (MSDS 5113) – 3 credit hours
- Fundamentals of Data Science (MSDS 5123) – 3 credit hours
- Data Systems & Algorithms (MSDS 6203) – 3 credit hours
- Programming for Data Science (MSDS 6213) – 3 credit hours
- Data & Database Management with SQL (MSDS 6403) – 3 credit hours
- Presentation & Visualization of Data (MSDS 6413) – 3 credit hours
- Machine Learning & Artificial Intelligence (MSDS 6503) – 3 credit hours
- Applied Capstone Project (MSDS 6903) – 3 credit hours
B. Internship: 3 credit hours
Internship (MSTM 5901) – 1.0 credit hours*
Students must earn a minimum of 3 credit hours and be continually enrolled in the course during the program.
TOTAL HOURS: 33-35 credit hours
Executive Program Format
The Master of Science in Data Science (MSDS) is an application-based program, which requires 30 credit hours of core coursework in statistics, data science, and machine learning, and a minimum of three credits of internship. The courses are all offered in a hybrid format combining classroom and online instruction.
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