Master of Science in Business Analytics (30 hrs.)

The Master of Science in Business Analytics is offered through the College of Graduate and Professional Studies. The program is a combination of hard and soft skills expected to improve the short and long-term career opportunities of the business analyst graduate. The Master of Science in Business Analytics prepares individuals to apply data science to generate insights from data and identify and predict trends. Lastly, it is a program designed to prepare individuals to apply data science to solve business challenges.

Experiential Track: In the Experiential Track, an internship experience is an integral part of the program of study. Therefore, international students (F-1) admitted to the Experiential Track are required to be enrolled immediately in an internship course for credit, and be engaged in an active internship experience, whether full or part-time.

Non-Experiential Track: In the Non-Experiential Track, international graduate students (F-1) must have been enrolled for one academic year in order to apply for work/internship authorization (CPT).

Collapse All

Expand All

Mission

The Master of Science in Business Analytics program at Trine University develops data-driven leaders who succeed in dynamic businesses by equipping students with the analytical and technical skills to lead data-driven initiatives, serve their organizations with innovative solutions, and make a positive impact on their communities.

Program Learning Outcomes

Our program assures that students attain the following outcomes:

1. Evaluate methods and technologies to organize and normalize data for statistical analysis
2. Assess the project management cycle from initial implementation through project delivery
3. Communicate effectively in multiple forms (oral, written, and graphically)
4. Analyze key performance indicators (KPI), financial reports, and predictive modeling using software applications
5. Solve supply chain, logistics, production and process problems using business analytics theories
6. Use statistics to create regression models, develop data models for forecasting and profit planning

Degree Requirements

Program Requirements

GE 5103	Project Management	3
BA 6933	Statistics & Quantitative Methods	3
BAN 5003	Operations Analytics	3
BAN 5013/DIT 7033	Analytics Software & Tools	3
IS 5113	Data Mining & Data Visualization	3
IS 5213/DIT 7023	Data Science & Big Data	3
FIN 5063	Corporate Finance	3
FIN 5823	Financial Modeling	3
BAN 5023	Data Driven Decision-Making	3
BAN 6093	Business Analytics Capstone	3

Total Credit Hours: 30