Data Analytics Major

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The Department of Computer Science offers an interdisciplinary major in Data Analytics. The ability to wrangle, interpret, and visualize data is essential in the modern world. All areas of commerce, education, government, the sciences, and even the nonprofit sector are increasingly data-driven. In this major, students complete a combination of coursework to develop marketable skills in data management; data research, analysis, and visualization; data mining; and machine learning. Data analytics graduates will have a solid foundation in fundamental concepts and techniques and will be able to apply these skills to communicate meaningful results to the organization. Graduates will also be well prepared for further study in this growing field. A minor in Data Analytics is also available.

Major Required Courses (37-39 semesters hours):

BUS 201 - Business Communication Tools 3 Credit Hour(s)
BUS 270 - Business Analytics Tools 3 Credit Hour(s)
BSC 201 - Research Methods and Data Analysis 4 Credit Hour(s)
CPS 201 - Computational Problem Solving 3 Credit Hour(s)
CPS 490 - Capstone Topics in Computing and Data Analytics 1 Credit Hour(s) (Senior Capstone Experience)
CRM 151 - Introduction to Criminology and Criminal Justice 3 Credit Hour(s) or
PSY 101 - General Psychology 3 Credit Hour(s)
DAT 305 - How to Think Like a Data Scientist 3 Credit Hour(s)
DAT 310 - Data Management and Visualization 3 Credit Hour(s)
DAT 311 - Big Data and Analytics 3 Credit Hour(s)
MTH 119 - Statistics I 3 Credit Hour(s)
SOC 310 - Intermediate Data Science I 2 Credit Hour(s)

1-3 semester hours from one or more of:

DAT 369 - Practicum 1-3 Credit Hour(s)
DAT 370 - Internship 0-15 Credit Hour(s)

One additional course from:

CPS 202 - Intermediate Computer Programming 3 Credit Hour(s)
MKT 200 - Principles of Marketing 3 Credit Hour(s)
DAT 401 - Independent Study 3 Credit Hour(s)