Krannert Full-Time MBA | MIS ConcentrationThe Krannert full time MBA Management Information Systems (MIS) concentration 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 concentration 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.
Students in MIS should possess logical skills and a mind open to new ideas and experiences. No previous technical experience is required.
10 elective credit hours (5 classes) are required beyond the core course.
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.
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 concentration:
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
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