Data Science and Analytics Track (MIM)
Track Program Overview
In the Master of Information Management (MIM) Data Science and Analytics track, you will gain skills in machine learning, artificial intelligence (AI), building pipelines, using predictive analytics, visualizing data, and using big data infrastructures and tools to implement scalable analytics solutions and create meaningful insights that drive decision making.
Sample 2-year Study Plan
| Fall 1 | Spring 1 | Fall 2 | Spring 2 |
| INST624 Modern Techniques for Software Development (if needed, or an Elective) | INST754 Data Integration and Preparation | INST767 Big Data Infrastructure | INFM737 Industry Capstone Project |
| INFM600 Information Management Ecosystems | INST664 Transforming Unstructured Content with AI | INST762 Visual Analytics | INFM612 Management of Information Projects, Programs, and Services |
| INST627 Foundations of Data Science | INST737 Data Science Techniques | Elective | Elective |
Core Courses
- INST624 Modern Techniques for Software Development (if no prior programming)
- INFM600 Information Management Ecosystems
- INFM612 Management of Information Projects, Programs, and Services
- INFM737 Industry Capstone Project
Required Courses
- INST627 Foundations of Data Science
- INST754 Data Integration and Preparation for Analysis
- INST664 Transforming Unstructured Content with AI
- INST737 Data Science Techniques
- INST767 Big Data Infrastructure
- INST762 Visual Analytics
Elective Courses (Examples)
- INST751 IoT and Streaming Analytics
- INST753 Data Governance and Data Quality
- INST752 Location Intelligence
- INST612 Information Policy
- INST750 Advanced Data Science
If you have any questions or concerns, please contact us here: mimprogram@umd.edu
Request to Connect (external link, opens in a new tab)
Apply Now (external link, opens in a new tab)