CURRICULUM
The Center for Business Analytics is proud to work across the Academic Departments at VSB to include analytics as a key component of the VSB undergraduate and graduate core curricula.
VSB currently offers Analytics in the form of a co-major and minor for undergraduate students, as well as a MS in Business Analytics and a Business Analytics specialization in the MBA programs.
Most recently, VSB has partnered with KPMG to deliver an exclusive MS degree (MS in Accountancy/ Analytics) for recent graduates admitted to their audit practice, using proprietary tools and resources.
This program and feedback from top global accounting firms helped shape the new Master of Accounting with Data Analytics (MACDA), an innovative program that integrates data analytics with other essential skills - valuation, risk, tax, fraud, and qualitative skills 鈥� to prepare students to become multi-dimensional accountants.
All VSB sophomores are required to take Business Analytics; VSB students may select an analytics minor; MBA students are offered a selection of analytics electives
UNDERGRADUATE COURSES
The Business Analytics co-major and minor were developed through input and interviews of individuals from organizations that use data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. Students who pursue the co-major or minor will have an understanding of the major components of business analytics, including: business intelligence, business performance management, and business analytics tools such as statistical analysis, data mining and data visualization techniques.
MS ANALYTICS CURRICULUM
Our Master of Science in Business Analytics degree is expertly designed to emphasize practical, real-world education and promote work across disciplines. The online MSBA curriculum is comprised of three components: the Fundamentals, Core and Capstone courses. Consisting of 10 courses taken over five terms 鈥� each of which is divided into two sessions 鈥� the 30-credit-hour program is designed to be completed in 18 months.
- Introduction to Business Analytics
- Programming in "R"
- Data Models and Structured Analysis
- Multivariate Data Analysis
- Enterprise Data Management
- Business Intelligence
- Analytical Methods for Data Mining
- Analytical Methods for Text and Web Mining
- Analytical Methods for Optimization and Simulation I
- Analytical Methods for Optimization and Simulation II
- Advanced Business Applications
- Analytics Practicum
MBA ANALYTICS SPECIALIZATION
Mining data is vital for collecting insights into customer behaviors, product performance, business projections and even sports analytics. As businesses find new ways to collect data, they鈥檙e looking for those with the skill to analyze, predict and validate the decisions they make every single day. This specialization provides opportunities to:
- Manage and visualize data
- Develop predictive modeling
- Mine data for quantitative insight
- Utilize the latest trends in data
- MBA 8580: Introduction to Business Analytics 鈥� 3 credits
- MBA 8140: Customer Relationship Management 鈥� 1.5 credits
- MBA 8141: Dashboard Analytics 鈥� 1.5 credits
- MBA 8142: Business Intelligence: Leveraging the Value of Information 鈥� 1.5 credits
- MBA 8147: Analytics in Sports Business 鈥� 1.5 credits
- MBA 8537: Introduction to Data Mining 鈥� 1.5 credits
- MBA: 8582: Analytical Methods for Data Mining 鈥� 3 credits
- MBA 8330: Big Data: Theories & Practice 鈥� 1.5 credits
- MBA 8649: Marketing Analytics 鈥� 1.5 credits
- MBA 8562: Simulation of Business Analytics 鈥� 1.5 credits
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The Center for Business Analytics Faculty Expertise Guide
