Nov 21, 2024

2023-2024 Graduate Catalog

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2023-2024 Graduate Catalog [ARCHIVED CATALOG]

Master of Science in Data Science

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Degree Requirements:

Minimum requirements for the degree are 45 credits, including 36 credits of required courses and 3 elective courses:

Required Courses

CPSC 5070 - Programming for Data Science 3 credit hours
CPSC 5071 - Data Management for Data Science 3 credit hours
CPSC 5330 - Big Data Analytics 3 credit hours
DATA 5100 - Foundations of Data Science 3 credit hours
DATA 5111 - Probability for Data Science 3 credit hours
DATA 5120 - Data Science, Law and Ethics 3 credit hours
DATA 5300 - Applied Statistical Inference and Experimental Design 3 credit hours
DATA 5310 - Data Visualization 3 credit hours
DATA 5321 - Statistical Machine Learning I 3 credit hours
DATA 5322 - Statistical Machine Learning II 3 credit hours
DATA 5901 - Capstone I 3 credit hours
DATA 5902 - Capstone II 3 credit hours

Electives

Choose at least three courses from the following, including at least one from Group A. (9 credits minimum):

A. Advanced Foundations of Data Science

CPSC 5075 - Data Architectures for Analytics 3 credit hours
DATA 5155 - Numerical Methods for Machine Learning 3 credit hours
ECEGR 5760 - Advanced Machine Learning 4 credit hours
MATH 5112 - Mathematical Statistics for Data Analytics 3 credit hours

B. Other Data Science Courses

CPSC 5340 - Text Processing and Search 5 credit hours
CPSC 5350 - Social Media Analytics 5 credit hours
CPSC 5610 - Artificial Intelligence 5 credit hours
CRJS 5240 - Crime Mapping 3 credit hours
ECON 5305 - Economics and Business Forecasting 3 credit hours
IS 5320 - Web Analytics 3 credit hours
MATH 5170 - Discrete Mathematics for Data Analytics 3 credit hours
PUBM 5450 - GIS for Public Administrators 3 credit hours

Minimum credits required for degree: (45)