Data Analytics, B.S.

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This major is administered by the School of School of Business and Economics .

In the data analytics major, you complete courses in computational and business analytics, as well as courses in basic mathematical techniques and graphic information systems. Upon completing the data analytics major, you will be prepared to work in data analytics and the business world.

Successfully complete 68-70 credits in the categories below.

Core, 68-70 credits

Mathematics Core, 7-9 credits

Take one of:

MATH 109 - Mathematics for the Social and Management Sciences 4 cr.
MATH 111 - Applied Calculus 4 cr.
MATH 225 - Calculus I 5 cr.
MATH 255 - Elementary Statistical Methods 4 cr.
OR

other approved statistics course:

ECON 243 - Economic and Business Statistics 3 cr.
FOR 321 - Natural Resources Data Analysis 4 cr.
HS 301 - Fundamentals of Biostatistics 3 cr.
MATH 354 - Applied Statistics 4 cr.
MATH 357 - Probability and Statistics II 3 cr.
PSYC 300 - Statistics for Psychologists 4 cr.
SOC 351 - Social Statistics 4 cr.

Note

If you anticipate doing advanced study in Data Analytics or Data Science, you should take MATH 225 .

Computing Core, 16 credits

CIS 102 - Practicum in Computing 1 cr. (Excel)
CIS 210 - Database Design and Implementation 4 cr.
CIS 444 - Advanced Database 4 cr.
CNMT 100 - Principles of Computing 3 cr.
CNMT 110 - Object-Oriented Programming 4 cr.

Accounting Core, 3 credits

ACCT 210 - Introductory Financial Accounting 3 cr.

Economics Core, 6 credits

Business Administration Core, 6 credits

Data Analytics Core, 30 credits

DAB 340 - Marketing Analytics 3 cr.
DAB 370 - Data Visualization and Communication 3 cr.
DAB 440 - Analytics and Decision Making 3 cr.
DAC 101 - Introduction to Data Analytics 3 cr.
DAC 111 - Programming for Data Analytics 4 cr.
DAC 205 - Principles of Data and Modeling 4 cr.
DAC 299 - Data Analytics Seminar 1 cr. (Must be taken a minimum of two times)
DAC 310 - Data Mining 4 cr.
DAC 480 - Applied Analytics Project 4 cr.