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 – 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.

Required Co-Major Courses

  • MGT 3170 - Data Mining
  • MGT 4170 - Advanced Analytics
  • MIS 3060 - Bus Intelligence and Perf Mgmt


Plus two of the following courses:

  • ECO 3137 - Intro to Econometrics

3 cr. from MIS 3050 (CRM & Data Analytics) or MIS 2030 (Database Management)

  • MKT 2240 - Marketing Analytics

Please note: Only one (1) course out of the 5 required co-major courses may “double dip” to also fulfill another VSB major or minor requirement.

Required Minor Courses

  • MGT 3170 - Data Mining

Plus 3 cr. BUSA option course choosing from:

  • MIS 3050 - CRM and Data Analytics

OR

  • MIS 3060 - Bus Intelligence and Perf Mgmt

Plus one of the following:

  • ECO 3137 - Intro to Econometrics
  • MGT 4170 - Advanced Analytics
  • MIS 2030 - Database Management
  • MKT 2240 - Marketing Analytics

Please note: Only one course out of the 3 Business Analytics minor courses may “double dip” to also fulfill another VSB major or minor requirement.

  

MS ANALYTICS CURRICULUM

The 36-credit hour Master of Science in Analytics program consists of 11 foundation and core courses, plus an application-based practicum project to be completed during your capstone course. Each semester is divided into two terms, and you will complete one course per term.

  • 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

The 36-credit hour Master of Science in Analytics program consists of 11 foundation and core courses, plus an application-based practicum project to be completed during your capstone course. Each semester is divided into two terms, and you will complete one course per term.

  • MBA 8580: Introduction to Business Analytics – 3 credits
  • MBA 8140: Customer Relationship Management – 1.5 credits
  • MBA 8141: Dashboard Analytics – 1.5 credits
  • MBA 8142: Business Intelligence: Leveraging the Value of Information – 1.5 credits
  • MBA 8147: Analytics in Sports Business – 1.5 credits
  • MBA 8537: Introduction to Data Mining – 1.5 credits
  • MBA: 8582: Analytical Methods for Data Mining – 3 credits
  • MBA 8330: Big Data: Theories & Practice – 1.5 credits
  • MBA 8649: Marketing Analytics – 1.5 credits
  • MBA 8562: Simulation of Business Analytics – 1.5 credits

Daniel Wright, PhD
Faculty Director
daniel.wright@villanova.edu

Meredith K. Lockyer
Director
Center for Business Analytics
meredith.lockyer@villanova.edu
(610) 519-7016

Sharon Ballard
Program Coordinator
sharon.ballard@villanova.edu


  

  

The Center for Business Analytics Faculty Expertise Guide

Cover of CBA Faculty Experts Publication

  

Center Highlights