Get Ahead In Your Career
When you decide to pursue a Master of Science in Information Systems (MSIS) degree at Maryland Smith, you’ll advance your skills by participating in exciting, interactive learning experiences that mirror the types of challenges you’ll face working for a real business.
Key Topics Explored:
- Artificial intelligence
- Big data
- Data processing and analysis
- Data warehousing
- Database management
- Digital business markets
- Healthcare information systems
- Project management
- Optimization modeling
- Simulation modeling
Analytics Tools You’ll Use:
- Amazon Web Services
- Google Analytics
“Professor Viswanathan tied in my work experience with how physical and digital markets work in the real world. Now those concepts are deeply rooted in me. His teaching helped me develop a pragmatic view of how I approach this field.”
MS Information Systems ’20
Experience for the Real World
Compete in a data challenge
Put your consulting, teamwork and analytical skills to use during Datathon.
Participate in a case competition
Gain hands-on experience solving real-life business problems and recommend solutions to a panel of leaders from top companies.
Simulate business scenarios
Learn key concepts by working through simulation and case study exercises inside the classroom.
Faculty Invested in Your Future
Your professors are savvy, connected business leaders who will challenge you to take your skills to the next level. They offer valuable guidance as you navigate your coursework and career.
Guest scholar at the Center on Social and Economic Dynamics at the Brookings Institution.
Expert in data mining, quantitative decision-making and economic behavior.
More than a decade of experience researching and teaching on industrial and technological information systems at major universities.
Expert in simulation methodology and stochastic simulation-based optimization used in electric power and health service systems.
Guodong “Gordon” Gao
National Science Foundation’s CAREER award recipient.
Partners with major tech and healthcare companies, including Amazon and the National Institutes of Health.
Expert in big data and AI in healthcare and quality transparency for online ratings, quality certification and disclosure.
(The Economist, 2018)
(Financial Times, 2018)