Business Analytics
Master’s
A Master of Science in Business Analytics from Trine University is designed to meet the growing demand across the nation. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. 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.
The Experience
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 by reducing costs with analytical insight, enhance resource utilization, and increase agility and quality of business activities. In addition, 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, information studies, data science, and analytics.
The Results
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:
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Evaluate methods and technologies to organize and normalize data for statistical analysis.
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Assess the project management cycle from initial implementation through project delivery.
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Communicate effectively in multiple forms (oral, written and graphically)
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Analyze key performance indicators (KPI), financial reports and predictive modeling using software applications.
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Solve supply chain, logistics and production process problems using business analytics theories.
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Use statistics to create regression models and develop data models for forecasting and profit planning.
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Additional Information
Courses that end with a certificate.
BAN 5013 Analytics Software and Tools
- IBM: Data Analytics with Excl and R Professional Certificate (Coursera)
- Introduction to Data Analytics Course Certificate
- Excel Basics for Data Analysis Course Certificate
- Data Visualization and Dashboards with Excel and Cognos Course Certificate
- Assessment for Data Analysis and Visualization Foundations Course Certificate
- Introduction to R Programming for Data Science Course Certificate
- SQL for Data Science with R Course Certificate
- Data Analysis with R Course Certificate
- Data Visualization with R Course Certificate
- Data Science with R – Capstone Project Course Certificate
BAN 5023 Data Driven Decision Making
- LinkedIn Learning Certificates:
- Introduction to Business Analytics
- Everybody’s Introduction to Tableau
- Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
- Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics
- Creating Interactive Tableau Dashboards
- Data Visualization: Make Better Decisions – Faster
- Data Visualization: Storytelling
IS 5113 Data Mining & Data Visualization
- Prepares students for the Certified Data Science Practitioner (CDSP) Exam (uCertify)
- LinkedIn Learning Certificates:
- Learning Excel Data Visualization- Mastering 20+ Charts & Graphs
- Predictive Analytics Essential Training: Data Mining
Program Information
Degree
Master of Science in Business Analytics
Duration
30 hours
Level
Graduate
Campus Location
Hybrid