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Department of Statistics

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Business Analytics Minor

Business Analytics is used by top performing companies committed to data-driven decision making to gain competitive advantage.

In today’s complex business environment, applying quantitative techniques to solve business problems is a key skill for managers. Analytics is used to transform the way we do business, in areas as diverse as predicting malfunctions in real time to deciding the right mix of products based on customer preferences.

To prepare the next generation of data-savvy business leaders, The Fox School of Business offers an undergraduate minor in Business Analytics (pending board approval). This minor will prepare students to unlock the value buried in corporate data and create new business opportunities. The coursework exposes students to hands- on, cutting edge tools and techniques in predictive modeling, forecasting, association mining, cluster analysis, decision trees, unstructured “big” data, sentiment analysis, and experimental design. Students will develop skills in these areas and learn to apply them, enhancing their knowledge and marketability.

The Business Analytics Minor is appropriate for all business majors who want to be at the forefront of using data effectively in their discipline.

The Business Analytics Minor is a joint program offered by the Department of Management and Information Systems, and the Department of Statistics.

 

Admissions

The Business Analytics Minor is suitable for high performing students who are interested in accelerating their career through exposure to this rapidly expanding area. Given the level of quantitative, critical thinking and problem-solving skills necessary to complete this minor, entering students must have a 3.0 GPA or higher.

 

Curriculum

The minor consists of five courses, two required courses in Statistics, two required courses in MIS and one required course in Marketing and Supply Chain Management.

The required courses for the Business Analytics Minor are:

  • STAT 2521: Data Analysis and Statistical Computing – Case studies and application of statistical methods to business problems while using industry standard software.
  • STAT 2523: Design of Experiment and Quality Control – Students will be able to apply fundamental statistical concepts required for designing efficient experiments to answer real questions. They will also be able to use statistical quality control techniques in the implementation of core principles of management and in the production of goods and services.
  • MIS 2502: Data Analytics – This course provides students with a foundation for designing database systems and analyzing business data to enhance firm competitiveness.  Concepts introduced in this course aim to develop an understanding of the different types of business data, various analytical approaches, and application of these approaches to solve business problems.  Students will have hands-on experience with MySQL, Microsoft Excel, and SAS Enterprise Miner.
  • MIS 3505: Applied Predictive Analytics – The course gives students the applied, hands-on experience necessary to derive patterns and insight from large data sets.  Students will learn how to select relevant variables for analysis, apply
    the appropriate analytic technique, and interpret the practical implications of
    the results. Topics also include unstructured “big” data, sentiment analysis,
    and articulating results to a business audience. Students will have hands-on
    experience with current, cutting-edge tools such as SAS Enterprise Miner. This
    course will be a continuation of MIS 2502 – Data Analytics.  This course will cover advance topics needed to resolve more complicated business problems including but not limited to data cleansing and reporting.  The foundation,  set in MIS 2502, will be strengthen and expanded with more concepts and applications appropriate for solving more challenging business problems and effectively communicating and presenting the output needed to resolve the problem.
  • MKT 3508: Digital Marketing – Students will reviews current and emerging technologies and their applications to the strategic creation, maintenance, and communication of value within the corporate value chain and the marketplace context.

If you’re an MIS major, the required for completing this minor are:

  • STAT 2521: Data Analysis and Statistical
  • STAT 2523: Design of Experiment and Quality Control
  • MIS 3505: Applied Predictive Analytics
  • MKT 3508: Digital Marketing
  • Choose a course form the menu of electives courses below

Since MIS majors take MIS 2502 as part of their major requirements they will substitute by taking an elective from the list below. Courses that are optional or required in both the major and minor cannot be double counted and the elective list provides acceptable substitutes. MIS majors who are interested in this minor will benefit by the additional exposure to Marketing and other opportunities outside the school.

  • MIS 3501: Data-Centric Application Development
  • MIS 3538: Social Media Innovation
  • MIS 3536: Information Systems Innovation
  • MIS 3581: Co-Op Experience
  • MKT 3504: Sales and Sales Management
  • MKT 3511: Marketing Research
  • MKT 3502: Information Management for Electronic Commerce
  • MKT 3509: Quantitative Methods in Marketing
  • STAT 2512:  Intermediate Statistics (prerequisite: STAT 2103)
  • STAT 2522: Survey Design and Sampling (prerequisite: STAT 2103)
 

For More Details Contact:

Pallavi Chitturi, Ph.D.

Title: Associate Professor

Office: Speakman Hall 341

Phone: 215-204-5070

E-mail: chitturi@temple.edu