Analytics Concentration

In today’s business environment, companies are awash in a sea of data. But how do you make sense of it?

Analyzing data using modern technology, sophisticated statistical tools and good old-fashioned storytelling helps firms make smart business decisions. The MBA analytics concentration provides foundational quantitative and analytical skills paired with application in specific management areas.

  • Gain in-depth exposure to essential knowledge that will allow you to model and solve complex business problems
  • Learn the importance of data stewardship through data management methodologies
  • Model the managerial decision-making process through advanced Excel techniques
  • Acquire career-defining statistical skills using industry-leading applications, specifically in SAS and R
  • Apply your knowledge in several functional areas like marketing, finance, health care, supply chain and logistics, or information systems management
  • Understand how marketing analytics and consumer behavior data can be used in data-driven decision-making
  • Develop the skills needed to perform risk analysis and strategic investment management
  • Understand how analytics solve the problems of a complicated health care delivery system
  • Become a technology data analytics leader by learning database management and decision support systems

First Semester

MBA Core – 15 credits

Second Semester

MGG 633LEC Model Managerial Process

Historically, managers have considered decision making as an art; something learned by trial and error; something based on creativity, judgment, intuition, and experience. This course gives you a structured way of attacking a wide range of real problems, using data-driven analysis to guide decision-making. We will consider how to think about and manage uncertainty and risk, how to translate data about the business into useful insights, how to put value on various courses of action, and how to generally make informed decisions. The main focus of the course will be on modeling decisions in the spreadsheet environment, illustrated by applications from operations, finance, marketing, and human resources. The approaches and techniques for decision-making are useful throughout the firm, both within functional areas and for the essential management challenge of working across functional boundaries.

Credits: 3
Semesters offered: Spring 2017

 • MBA Core – 10 credits
 • MBA Elective


For this concentration, you need to have foundational programming knowledge or to have taken non-credit bridge courses, either prior to beginning your MBA or during the summer of your first year, to give you a broad introduction to foundational analytics methods (e.g., SAS, R). You may select any two courses from the following list, or an alternative course approved by the chair of the MBA/MS program committee:

  • Basics of SAS programming (equivalent to the requirement of Base SAS Certificate)
  • Basics of R programming
  • Other programming skills (e.g., Python)

Third Semester

MGM 675LEC Marketing Analytics for Data Driven Decision Making

Marketing Analytics will focus on how to use data analytics to analyze marketing problems for better managerial outcomes with a specific focus on quantitative techniques and hands-on learning utilizing software such as SAS and R. Today, companies are inundated with data as the cost of gathering, storing, and processing data is becoming more economical. The above is especially true for marketing data. However, knowing how to interpret marketing data is challenging. Firms are increasingly using data driven analytics to inform their decision making. The objective of this course is to equip students with skills to analyze data (especially marketing data) so as to enable superior decisions.

Credits: 3
Semesters offered:

MGF 690SEM Special Topics in Finance

Credits: 6
Semesters offered: Fall 2017

 • MBA Electives

Fourth Semester

MGO 642LEC Capstone: Integration of Business Functions

Credits: 1
Semesters offered: Spring 2017
Pre-Requisite: MGO 640

MGO 644LEC Business Practice

Credits: 1
Semesters offered: Spring 2017
Pre-Requisite: MGO 640 And MGO 642

 • MBA Electives
 • Data Analytics Electives – Choose two