MSIS

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Master of Science in Information Systems

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GMAT/GRE Waived

The MSIS programs does not require GMAT/GRE but submitting test scores is still encouraged. Contact admissions for more information.

Leverage AI and Technology to Solve Business Challenges

Best 25 Master’s in Information Systems,
U.S. (Best Value Schools, 2022)

2 to 4

Semesters to complete your degree

$90k

Average starting salary

Smith’s Master of Science in Information Systems (MSIS) program positions you to be an effective liaison between more technical teams and leadership - a valuable skill to possess in today’s business world. By the end of the program, you’ll know how to leverage AI to enhance your business-technology skills in the workplace and influence leadership to make data-informed decisions.

Learn AI's Information Systems Applications

AI is changing how we manage and interpret data - learn to use the latest tools and explore how to help business leaders further adapt to a changing technological landscape.

Develop Business Strategy Skills

Your professors will challenge you to critically think about solutions to the complex business problems employers regularly face in the real world.

Participate in Real-World Business Scenarios

Through case competitions and simulated exercises, you’ll refine your skills with experiences that mirror the challenges you’ll face in the workplace.

I learned how to use cutting-edge tools like Tableau, R, Python, Hadoop and Amazon Web Services. The program helped me work efficiently and understand the importance of learning new technologies in this fast-changing industry.

Asmita Netekar

MS Information Systems ’19

Acquire Valuable Skills

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 Colab
Python
R
SQL
Lucidchart
Jira
Confluence
Precision Tree, @RISK, ARENA
Hadoop, Pig, Hive, Spark
Tableau
Google Analytics

Core Courses

First Semester

Database Management
2 credits | BUDT703

Data, Models, and Decisions using R
2 credits

Data Processing and Analysis in Python
3 credits

Technology and Strategy
2 credits

Technology Project Management
2 credits

Industry Seminar
Required for industry practicum

Second Semester

Business Process Analysis
2 credits

Data Science and Predictive Analytics
2 credits

Harnessing AI for Business
2 credits

Industry Seminar
Required for industry practicum
The Industry Seminar is designed to cultivate relationships between students and business-technology industry executives. During the semester, Industry leaders will present to students industry trends, opportunities and challenges. Students will be required to attend these presentations and will have an opportunity to connect and mingle with industry leaders. This should enable students to obtain summer internships and long term career opportunities.

Third Semester

Industry Practicum
2 credits
This Industry Practicum is a capstone course where students will apply their integrated business-technology learning across the entire MSIS program to solve real-world problems through sponsored projects. The Industry Practicum ensure that students (1) have the capacity to integrate, apply, and implement business-technology strategies, frameworks and methods learned in the program to solve business problems, (2) develop the critical-thinking and reflection capacity needed to successfully operationalize business-technology solution and harvest business benefits, and (3) understand the complete range of holistic tasks associated with a successful business-technology project.

Elective Courses by Focus Area

Emerging Technologies

Only offered during the Spring semester

Blockchain and Smart Contracts
2 credits

IoT Applications for Business
2 credits

Data Science

Only offered during the second Fall semester

Advanced Topics in Data Science: Causal Inference and A/B Testing
2 credits | BUDT756

Social Media & Unstructured Data Analytics
2 credits

Data Visualization for Business
2 credits | BUDT705

Cloud Computing

Digital Platforms and Ecosystems
2 credits | BUDT722

Big Data and Cloud Computing
2 credits | BUDT737

Digital Health
2 credits | BUDT741

Cybersecurity
2 credits | BUT757

Technology Management