Data Science and Analytics Track
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 |
|---|---|---|---|
| Modern Techniques for Software Development (if needed, or an Elective) | Data Integration and Preparation | Big Data Infrastructure | Industry Capstone Project |
| Information Management Ecosystems | Transforming Unstructured Content with AI | Visual Analytics | Management of Information Projects, Programs, and Services |
| Foundations of Data Science | Data Science Techniques | Elective | Elective |
Core Courses
- Modern Techniques for Software Development (if no prior programming)
- Information Management Ecosystems
- Management of Information Projects, Programs, and Services
- Industry Capstone Project
Required Courses
- Foundations of Data Science
- Data Integration and Preparation for Analysis
- Transforming Unstructured Content with AI
- Data Science Techniques
- Big Data Infrastructure
- Visual Analytics
Elective Courses (Examples)
- Research Frontiers in Data Science
- IoT and Streaming Analytics
- Data Governance and Data Quality
- Location Intelligence
- Advanced Database Design
- Information Policy
If you have any questions or concerns, please contact us here: mimprogram@umd.edu