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).
Program Educational Objectives
The program has established the following educational objectives:
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To prepare students to employ technical expertise in collecting, analyzing, and interpreting data
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To examine how data analyses are used to develop strategic business insights and decisions
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To apply the basic skills of computer science fundamentals using a breadth of tools, data sources, and analytical techniques
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To equip students with a depth of financial acumen for planning, accounting and analysis
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To produce students who are prepared to present and communicate information for decision making purposes
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To provide insights and understanding of business operations to develop the student’s ability to identify trends and patterns and answer a wide range of business questions
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To Show the student how and why leadership and teamwork skills are essential in today’s workplace
Program Learning Outcomes
- 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, production and process problems using business analytics theories
- Use statistics to create regression models, develop data models for forecasting and profit planning
Degree Requirements
Program Requirements
Total Credit Hours: 30