Skip to Content
Purdue University is taking steps to ensure the health and safety of our community. For the latest information and guidance on Purdue’s response to COVID-19 please visit:
Purdue Krannert School of Management logo

Full-Time MBA | MIS Specialization

The Krannert full time MBA Management Information Systems (MIS) specialization or option area is the use of people, processes and technologies in solving business problems. More specifically, how can we use technologies to help people better manage business processes? Are you interested in leading the business in the use of technology to increase its competitive stance (e.g., by increasing employee productivity, improving team collaboration, enhancing global reach, creating business partnerships and alliances, and facilitating organizational transformation)? Then the MIS specialization or even a few MIS electives might be a good choice for you.


  • To improve your information technology knowledge and skill for acquiring, organizing, and communicating information required to solve business problems and become a knowledgeable participant in IT-related decisions and discussions.
  • To develop your expertise in identifying ways to use information technology in your area of responsibility by way of understanding alternative IT infrastructures.
  • To familiarize you with some classic examples of strategic uses of IT, organizational change through IT, and business transformation using information technology in order to identify future opportunities.


The positions taken by our students range from financial and business analysts to consultants, as well as positions in all functional areas within high-tech firms.

Past major employers include Cummins, Raytheon, IBM, Bank of America, AT Kearney, ABG Consulting, Air Products, Stryker, ITaP (Purdue University), and Sears Holdings.

Typical Students

Students in MIS should possess logical skills and a mind open to new ideas and experiences. No previous technical experience is required.

Recommended Courses

10 elective credit hours (5 classes) are required beyond the core course.

  • MGMT 58200: Management of Organizational Data

    This course provides the basic concepts and skills needed to analyze and organize business data, as well as to utilize the organized data to answer a variety of business queries. After successful completion, students will have an understanding of why database management is important and what it entails, how to analyze the data requirements of a business scenario and represent these requirements by means of entity-relationship (ER) diagrams, translate an ER diagram into normalized relations for a relational database management system, write simple and relatively complex data retrieval commands in the SQL language for an Oracle database, use Microsoft Access as a front end to a server database in Oracle, be familiar with several selected topics of current interest in the data management arena. 2 credit hours
  • MGMT 59000: Web Data Analytics

    This industry-agnostic course is focused on training leaders to be able to talk to and manage the people who are collecting data and are making inferences from the data, and then make data-driven decisions. It will cover tools to collect, manipulate, and analyze data from the web and other sources, with the objective of making students data savvy and comfortable with deriving insights from real-world, large datasets. Students will be exposed to the power of clickstream analysis and the possibilities that can be unleashed from testing and experimentation. By combining analytics skills with business acumen, it is geared toward providing students with the highly desired background – MBA with data analytics knowledge!

    The emphasis of the course will be on data savviness and practical usefulness.

  • MGMT 59000: Information Risk Management

    Managers across the firm are faced with managing information risk springing from the massive amounts of data generated, collected, processed, and stored by firm activities and processes, including, but not limited to, data analytics, cross-channel marketing, and supply chain optimization. Managers in all areas of the firm must contend with regulatory and compliance issues affecting data such as the Gramm-Leach-Bliley Act, the Health Insurance Portability and Accountability Act (HIPAA), and the Data Protection Directive (Directive 95/46/EC), as well as potential liability and consumer sentiment issues when data is lost, stolen, or otherwise misused. Perhaps most critical is the ability to protect the firm’s intellectual property. This course will present both the real and potential risks as well as frameworks for managing such information risks in a global, digital economy. Guest speakers and a team project will round out the course.
  • MGMT 59000: Digital Business and Information Strategies

    The Internet and other emerging technologies have enabled new ways for companies to organize their businesses. Companies are also increasingly dealing with digital information and goods that are different in many ways from other goods and services. The purpose of this course is to explore how new digital business models and digital information affect company strategy, market structure, and pricing. We will use lectures, cases, class discussions, games, and team projects to examine a variety of topics including pricing and competition on the Internet, cross-channel competition and marketing, “Long Tail”, pricing of digital information, bundling, versioning, network effects, platform, and a variety of other topics. Fundamental economic principles will be illustrated using business case studies. At times, we will also discuss emerging digital technologies, business models and industry structures. We will use methods studied in the course to explore pricing of in-flight wireless services, pricing and management of cloud computing, and bundling of Internet, phone, and cable services. 2 credit hours
  • MGMT 59000: Digital Game Design Techniques for Business

    Gamification techniques are increasingly becoming popular. The main idea is for firms to use the techniques of game designers to serve objectives as varied as marketing, human resources management, productivity enhancement, training, innovation, and customer engagement. In this course, you will examine the mechanisms of gamification and develop an understanding of their effective use in the modern firm.

    As with any other business technique, in order to be effective, Gamification requires clearly defined strategies and well-managed execution. To identify effective strategies, techniques, and metrics for the application of games to business, this course will draw upon interdisciplinary source material as well as real-world case studies. It will also identify a number of significant pitfalls to gamification techniques, as well as notable legal and ethical issues, and the problems with implementing radical change in established firms. As a part of this class, you will be designing, playing, and evaluating various games.

The following courses from Quantitative Methods can also be taken as part of the MIS specialization:

  • MGMT 57000: Spreadsheet Modeling and Simulation

    This course covers up-to-date and practical spreadsheet modeling tools, which can be applied to a wide variety of business problems in finance, marketing, and operations. The course consists of simulation modeling techniques to analyze risk and uncertainties in business environment, optimization techniques to determine the best managerial actions under internally- and/or externally-imposed constraints, and real-world examples and cases to demonstrate broad applications of spreadsheet modeling and simulations in manufacturing and service operations, supply chain systems, yield management, asset dynamics, option pricing, etc. 2 credit hours

  • MGMT 57100: Data Mining w/ SAS Enterprise Miner

    This course introduces the concepts, techniques, tools, and applications of data mining. The material is approached from the perspective of a business analyst, with an emphasis on supporting tactical and strategic decisions. Includes a variety of techniques to identify nuggets of information or decision-making knowledge in bodies of data, and extracting these in such a way that they can be put to use in the area, such as decision support, prediction, forecasting, and estimation. Typically offered fall and spring. 2 credit hours