College of Science and Health
Master of Science in Data Analytics (MS)
Take Your Data Analytics Skills to the Next Level
The Master of Science in Data Analytics program at Benedictine University is designed to prepare students for careers in the rapidly growing field of data analytics. Through an industry-aligned curriculum, students will develop the technical and analytical skills necessary to process and analyze complex, large-scale data, build predictive models, and enhance decision-making across various industries.
The program is ideal for students from diverse academic backgrounds who seek to gain expertise in data analytics methodologies and applications. Graduates will be well-positioned for roles such as data scientist, machine learning engineer, data architect, data analyst, and business intelligence analyst.
Learning Goals for the Master of Science in Data Analytics Program
Graduates of the M.S. in Data Analytics program will:
- Develop advanced programming skills in languages such as Python and R.
- Apply mathematical and statistical techniques fundamental to data analytics.
- Analyze and visualize complex data sets effectively.
- Implement machine learning and data mining techniques in real-world scenarios.
- Design and execute large-scale data analytics projects and communicate findings clearly to diverse audiences.
Program Structure
The M.S. in Data Analytics program requires the successful completion of 33 semester credit hours, structured as follows:
- 3 credit hours of introductory courses (may be waived based on prior coursework).
- 21 credit hours of core courses covering essential data analytics concepts and techniques.
- 9 credit hours of elective courses in Business Applications.
