The interdisciplinary Data Analytics major within the Computer Science Department provides the ability to wrangle, interpret and visualize data that 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, you’ll complete a combination of coursework to develop marketable skills in data management; data research, analysis and visualization; data mining; and machine learning. As a data analytics graduate, you will have a solid foundation in fundamental concepts and techniques and will be able to apply these skills to communicate meaningful results to your organization. You will also be well prepared for further study in this growing field.
*The Data Analytics major and minor are pending Higher Learning Commission approval.
Below are the course requirements for the Data Analytics Major:
- CPS 201 Computational Problem Solving
- MTH 119 Statistics I
- CRM 151 Introduction to Criminal Justice or PSY 101 General Psychology
- BUS 201 Business Communication Tools
- BUS 270 Business Analytics Tools
- BSC 201 Research Methods and Data Analysis
- SOC 310 Intermediate Data Science I
- DAT 305 How to Think Like a Data Scientist
- DAT 310 Data Management and Visualization
- DAT 311 Big Data and Analytics
- DAT 411 Capstone in Data Analytics
Plus 1-3 semester hours from one or more:
- DAT 369 Practicum
- DAT 370 Internship
Plus one additional from:
- CPS 202 Intermediate Computer Programming
- MKT 200 Marketing
- DAT 410 Independent Study
For a more detailed academic schedule, or to ask questions about any of our majors, contact the Admission Office at admission [at] heidelberg.edu or 419-448-2330.