A variety of industries need individuals who will have the education and expertise to collect, analyze and interpret information to make fact-based strategic business decisions.
As a student in the Master of Science in Business Analytics program, you'll experience a global program in both student population and perspective. You will be prepared to excel within your career to reduce costs with analytical insight, enhance resource utilization and increase agility and quality of business activities. With Trine University’s strong strategic connection to diverse corporations that span both manufacturing and service industries, you will have exceptional opportunities and learn valuable skills for using technologies, applications and practices to compile data for the purpose of investigating past business performance and driving future business planning.
The Master of Science in Business Analytics program consists of 30 credit hours, including a capstone project where you will demonstrate a mastery of the program objectives by communicating your findings and applying your acquired skills in statistical and operational analysis, analytical software and predictive models to provide an analytical solution to a real-world problem. Course topics range from project management, finance and information studies to data science and analytics.
As a graduate of this program, you will have the knowledge and skill to collect and analyze business data that assists organizations with strategic decisions in their long-term and day-to-day business activities. After completing the Master of Science in Business Analytics, you will be able to:
- Evaluate methods and technologies to organize and normalize data for statistical analysis.
- Assess the project management cycle from initial implementation through project delivery.
- Communicate effectively in multiple forms (oral, written and graphically)
- Analyze key performance indicators (KPI), financial reports and predictive modeling using software applications.
- Solve supply chain, logistics and production process problems using business analytics theories.
- Use statistics to create regression models and develop data models for forecasting and profit planning.
- January 2024
- June 2024
- August 2024