Data Science
Master of Science
36 Credit Hours
Description
The Master of Science (MS) in Data Science program prepares students for one of the most sought-after careers of the 21st century. With demand surging for skilled professionals, our program equips students to excel in data science and analytic roles. Master essential skills: from acquiring, cleaning, and merging data to creating compelling visualizations and dashboards. Gain hands-on experience across all project lifecycle stages and apply cutting-edge machine learning techniques to drive business decisions. Prepare to thrive in a dynamic job market and solve real-world problems with data science expertise.
Program Learning Outcomes
- Apply Data Science algorithms to real-world data sets in various programming languages
- Demonstrate the ability to acquire, clean, merge, and tidy data sets
- Demonstrate the ability to translate data into effective visualization and web dashboarding
- Acquire hands-on skills from all steps of the lifecycle of Data Science projects
- Demonstrate the ability to use various Machine Learning techniques to support business decision making
- Apply Data Science theories and methods to solve real-world problems
Admissions Requirements
- A bachelor’s degree or equivalent from a recognized institution
- Credentials earned outside of the US must be evaluated by an approved agency
- GPA of 2.7 or higher
- Official transcripts from all previously attended institutions
- Completed application with Carolina University
Graduation Requirements
- Shall have maintained a minimum cumulative GPA of 3.0;
- Shall have passed all courses in the curriculum and made a C or better professional core courses;
- Shall have completed at least six of the final nine hours with Carolina University.
Courses
Program Core (30 Credit Hours)
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours
3 Credit Hours