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 |
| Software Development Environments (if needed, or an Elective) | Data Integration and Preparation | Big Data Infrastructure | Industry Capstone Project |
| Information Environments | Transforming Unstructured Content with AI | Visual Analytics | Management of Information Programs and Services |
| Foundations of Data Science | Data Science Techniques | Elective | Elective |
Core Courses
- Software Development Environments (if no prior programming)
- Information Environments
- Management of Information 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