BUSINESS ANALYTICS - CO-MAJOR AND MINOR

student in classroom with blue Villanova shirt on

A co-major or minor in Business Analytics will give you exposure to business intelligence, business performance management, and analytic tools such as statistical analysis and data mining that businesses need today. You will build strong analytical skills and the ability to develop business analytics solutions that can improve performance and add value to a wide range of businesses. You can pair a Business Analytics co-major or minor with marketing, finance, accounting, MIS and much more. 

Earning a Co-Major

You must complete the core curriculum and the business curriculum, along with meeting the requirements for your primary major plus the three required co-major courses and two elective courses.

Earning a Minor

You must complete the core curriculum and business curriculum plus your major requirements, along with two required minor courses plus one elective course, as outlined below. 

Required Co-Major Courses

Description: The process of exploring and modeling large amounts of data to uncover previously unknown patterns. Using data mining techniques, managers can exploit large databases, identifying useful patterns to help make business decisions. Applications to marketing, finance and other business disciplines. VSB 2005 Business Statistics or equivalent or instructor permission.

  • Prerequisites: (VSB 2020 and VSB 2008 and VSB 2009 (concurrency) or VSB 2010 (concurrency) or VSB 2030 (concurrency) and VSB 2040 (concurrency)) or MGT 1102
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Description: Covers how managers use advanced business analytics tools to support tactical and strategic business decisions. Covers applications of advanced business analytics techniques that support cross-functional decision making using software packages (for example: @Risk, Extend, Tableau, Hadoop, and aText) to help support the analytics process.

  • Prerequisites: MGT 3170 (concurrency)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Description: Examines concepts, processes, and tools related to business intelligence and performance management; learn systematic approaches for identifying business metrics and key performance indicators (GPI); apply data visualization techniques to develop interactive business intelligence applications that transform data into information and insights.

  • Prerequisites: VSB 2006 and VSB 2020 and (VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Plus two of the following courses:


 

CO-MAJOR ELECTIVE COURSES

 

Description: Intermediate course in stochastic methods with emphasis on applications; estimation, hypotheses testing, regression analysis, economic forecasting, time series analysis and probabilistic formulation of economic relationships such as consumption and production functions.

  • Prerequisites: (ECO 1001 and ECO 1002) and (MAT 1430 or MAT 1235 or MAT 2310 or MAT 4310 or VSB 2005)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: A&S Research Requirement

Description: Fundamental issues associated with Customer Relationship Management (CRM) and Data Analytics, theoretical and practical, such as designing and building a data warehouse, building and populating info-cubes, report generation with SAP BW, data mining, business intelligence technologies, and extension of CRM to the Internet.

  • Prerequisites: VSB 2006 and VSB 2020 and (VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040)
  • Credit Hours: 3
  • Last Offered: Spring 2020, Spring 2019, Spring 2018, Spring 2017
  • CRSE Attributes: NONE


OR

Description: Theoretic and practical issues related to the management of a data base in a business environment including: the role of databases and database applications in contemporary organizations; data modeling using entity-relationship models; fundamentals of the relational data model and its implementation with SQL; characteristics of distributed databases and Client/Server data base technologies.

  • Prerequisites: VSB 2006 and VSB 2020 (concurrency) and (VSB 2009 (concurrency) or VSB 2010 or VSB 2030 (concurrency) and VSB 2040 (concurrency)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Description: Covers analytics skills necessary for marketing decision making; adds experience with SAS JMP, Google Analytics and Adwords (certifications earned in course), advanced Excel functionality, and other analytical techniques to reflect marketplace changes.

  • Prerequisites: VSB 2020 and VSB 2006 and VSB 2008
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

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

Description: The process of exploring and modeling large amounts of data to uncover previously unknown patterns. Using data mining techniques, managers can exploit large databases, identifying useful patterns to help make business decisions. Applications to marketing, finance and other business disciplines. VSB 2005 Business Statistics or equivalent or instructor permission.

  • Prerequisites: (VSB 2020 and VSB 2008 and VSB 2009 (concurrency) or VSB 2010 (concurrency) or VSB 2030 (concurrency) and VSB 2040 (concurrency)) or MGT 1102
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Plus 3 cr. BUSA option course choosing from:

Description: Fundamental issues associated with Customer Relationship Management (CRM) and Data Analytics, theoretical and practical, such as designing and building a data warehouse, building and populating info-cubes, report generation with SAP BW, data mining, business intelligence technologies, and extension of CRM to the Internet.

  • Prerequisites: VSB 2006 and VSB 2020 and (VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040)
  • Credit Hours: 3
  • Last Offered: Spring 2020, Spring 2019, Spring 2018, Spring 2017
  • CRSE Attributes: NONE


OR
 

Description: Examines concepts, processes, and tools related to business intelligence and performance management; learn systematic approaches for identifying business metrics and key performance indicators (GPI); apply data visualization techniques to develop interactive business intelligence applications that transform data into information and insights.

  • Prerequisites: VSB 2006 and VSB 2020 and (VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE


 


MINOR ELECTIVE COURSES

Intermediate course in stochastic methods with emphasis on applications; estimation, hypotheses testing, regression analysis, economic forecasting, time series analysis and probabilistic formulation of economic relationships such as consumption and production functions.

  • Prerequisites: (ECO 1001 and ECO 1002) and (MAT 1430 or MAT 1235 or MAT 2310 or MAT 4310 or VSB 2005)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: A&S Research Requirement

Description: Covers how managers use advanced business analytics tools to support tactical and strategic business decisions. Covers applications of advanced business analytics techniques that support cross-functional decision making using software packages (for example: @Risk, Extend, Tableau, Hadoop, and aText) to help support the analytics process.

  • Prerequisites: MGT 3170 (concurrency)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Description: Theoretic and practical issues related to the management of a data base in a business environment including: the role of databases and database applications in contemporary organizations; data modeling using entity-relationship models; fundamentals of the relational data model and its implementation with SQL; characteristics of distributed databases and Client/Server data base technologies.

  • Prerequisites: VSB 2006 and VSB 2020 (concurrency) and (VSB 2009 (concurrency) or VSB 2010 or VSB 2030 (concurrency) and VSB 2040 (concurrency)
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

Description: Covers analytics skills necessary for marketing decision making; adds experience with SAS JMP, Google Analytics and Adwords (certifications earned in course), advanced Excel functionality, and other analytical techniques to reflect marketplace changes.

  • Prerequisites: VSB 2020 and VSB 2006 and VSB 2008
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: NONE

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.

The Center for Business Analytics

Promoting education, research and practice to advance the use of analytics throughout business.  


The Clay Center at VSB/ O’Donnell Center for Professional Development
Bartley 1054
The Clay Center Team/O’Donnell Center Team

Office Hours: Monday - Friday 8 a.m. - 5 p.m.