Data Science, B.S.

True Blue Core (41 hours)

True Blue Core (TBC)  requirements (shown in curricular listings below) include courses in the Foundational Skills areas of Written Communication (WC), Information Literacy (Info Lit), Non-Written Communication (NWC), and Quantitative Literacy (Quant Lit). Knowledge Domains include Human Society and Social Relationships (HSSR), Scientific Literacy (Sci Lit), Creativity and Cultural Expression (CCE), and History and Civic Learning (HCL), which include Discovery and Explorations categories. Students must choose at least one course from each Discovery category.

The following courses required by the major meet True Blue Core requirements:

• MATH 1910  (Quant Lit)
• ECON 2410  (HSSR)

Major Requirements (45 hours)

• BIA 3620 - Introduction to Business Analytics 3 credit hours
• CSCI 1170 - Computer Science I 4 credit hours
• CSCI 2170 - Computer Science II 4 credit hours
• DATA 1500 - Introduction to Data Science 3 credit hours
• DATA 3500 - Data Cleansing and Feature Engineering 3 credit hours
• DATA 3550 - Applied Predictive Modeling 3 credit hours
• DATA 4950 - Data Science Capstone 3 credit hours
• INFS 4790 - Database Design and Development 3 credit hours
• MATH 2110 - Data Analysis 1 credit hour
• MATH 2530 - Applied Statistics II 3 credit hours

•  

• BIA 2610 - Statistical Methods 3 credit hours OR
• MATH 1530 - Applied Statistics 3 credit hours OR
• MATH 2050 - Probability and Statistics 3 credit hours

Data Science Electives (12 hours)

• CSCI 3130 - Assembly and Computer Organization 4 credit hours
• CSCI 3240 - Introduction to Computer Systems 4 credit hours
• CSCI 4300 - Data Communication and Networks 3 credit hours
• CSCI 4330 - Parallel Processing Concepts 3 credit hours
• DATA 4500 - Internship in Data Science 1 to 3 credit hours
• ECON 2420 - Principles of Economics, Microeconomics 3 credit hours (may be counted in the True Blue Core)
• ECON 4620 - Econometrics and Forecasting 3 credit hours
• FIN 4100 - Advanced Financial Data Analysis and Applications 3 credit hours
• PGEO 4490 - Remote Sensing 4 credit hours
• PGEO 4530 - Geographic Information Systems 3 credit hours
• PGEO 4560 - Intermediate Geographic Information Systems 3 credit hours

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• ACSI 4600 - Problems in Actuarial Science 1 to 6 credit hours OR
• STAT 4600 - Problems in Statistics 1 to 6 credit hours

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• BIA 4100 - Location Analytics 3 credit hours OR
• INFS 4100 - Location Analytics 3 credit hours

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• Courses from cognate areas not selected above (in consultation with advisor)

Supporting Courses (7 hours)

• ECON 2410 - Principles of Economics, Macroeconomics 3 credit hours (may be counted in the True Blue Core)
• MATH 1910 - Calculus I 4 credit hours (may be counted in the True Blue Core)

Electives/Minor (15-21 hours)

• Minor strongly recommended

Freshman Fall

• DATA 1500 - Introduction to Data Science 3 credit hours
• Written Communication 3 credit hours
• Creativity and Cultural Expression 3 credit hours
• History and Civic Learning 3 credit hours

•  

• BIA 2610 - Statistical Methods 3 credit hours OR
• MATH 1530 - Applied Statistics 3 credit hours OR
• MATH 2050 - Probability and Statistics 3 credit hours

Freshman Spring

• Information Literacy 3 credit hours
• Creativity and Cultural Expression 3 credit hours
• History and Civic Learning 3 credit hours
• ECON 2410 - Principles of Economics, Macroeconomics 3 credit hours (HSSR)
• MATH 1910 - Calculus I 4 credit hours (Quant Lit)

Sophomore Fall

• CSCI 1170 - Computer Science I 4 credit hours
• MATH 2530 - Applied Statistics II 3 credit hours
• Creativity and Cultural Expression Literature 3 credit hours
• Scientific Literacy 4 credit hours
• Human Society and Social Relationships 3 credit hours

Sophomore Spring

• CSCI 2170 - Computer Science II 4 credit hours
• MATH 2110 - Data Analysis 1 credit hour
• Non-Written Communication 3 credit hours
• Elective/minor 3 credit hours
• Scientific Literacy 4 credit hours

Junior Fall

• BIA 3620 - Introduction to Business Analytics 3 credit hours
• DATA 3500 - Data Cleansing and Feature Engineering 3 credit hours
• DS cognate 3 credit hours
• Elective/minor 6 credit hours

Junior Spring

• DATA 3550 - Applied Predictive Modeling 3 credit hours
• Elective/minor 6 credit hours
• DS cognate 3 credit hours
• DS elective 3 credit hours

Senior Fall

• INFS 4790 - Database Design and Development 3 credit hours
• DS cognate 3 credit hours
• DS elective 6 credit hours
• Elective/minor 3 credit hours

Senior Spring

• DATA 4950 - Data Science Capstone 3 credit hours
• DS cognate 3 credit hours
• DS elective 3 credit hours
• Elective/minor 3 credit hours