Business Analytics - M.S.
Kent, USA
DURATION
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PACE
Full time
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TUITION FEES
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STUDY FORMAT
Distance Learning, On-Campus
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Introduction
Business Analytics - M.S.
The Master of Science degree in Business Analytics provides students with a comprehensive knowledge of analytics that balances the technologies, analytical methods and business expertise needed to glean useful information from data to make strategic business decisions. The language of business today is dependent on information and data management, and the emergence of advanced technologies for capturing, preparing and analyzing data provides unprecedented opportunities for those with business analytics expertise that spans all industries and organizations.
Students in the Business Analytics major gain the technical, analytical, communication, decision-making and leadership skills needed to be successful business analysts. The curriculum includes integrative capstone analysis projects, and there is an internship option for additional professional development through the on-site College of Business Administration's Career Services Office.
Admissions
Scholarships and Funding
Curriculum
Major requirements
- Quantitative Management Modeling
- Business Analytics
- Advanced Data Mining and Predictive Analytics
- Analytics in Practice
- Fundamentals of Machine Learning
- Advanced Machine Learning
- Database Management and Database Analytics
- Internship in Business Analytics
Major Electives, choose from the following:
- Data Mining Techniques
- Big Data Analytics
- Econometrics I
- Enterprise Architecture
- Data Science
- Clinical Analytics
- Semantic Analysis Methods and Technologies
- Systems Simulation
- Data Visualization
- Global Supply Chain Business Models
- Capstone Project in Business Analytics
- Leadership and Organizational Change
- Marketing Research
Program Outcome
Graduates of the program will be able to:
- Identify key characteristics of the business problem
- Identify opportunities and constraints of various data analytical frameworks and tools.
- Formulate appropriate data analytic techniques to solve the business problem.
- Perform necessary data preparation steps (retrieve, clean and manipulate data).
- Demonstrate necessary theoretical knowledge and practical skills to implement several data-analytic frameworks using different tools.
- Lead and work with teams to frame the business problem.
- Convey in writing the outcomes of analytics for stakeholders.
- Use visual outcomes of analytics to communicate orally effective messages for stakeholders
Program Tuition Fee
English Language Requirements
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