As a MSBAIM student, you will focus equally on both technologies and techniques to be prepared for the current and future landscape of business data. Our expert faculty will expose you to various functional areas of business. This program also offers unique treatment of data analytics, gamification, and optimization modeling and significant depth in SAS modeling and usage.
Further, you are able to specialize in areas of interest, such as supply chain.
This program starts with a summer session and spans 11 months. Many courses will be combined with other master’s programs to ensure you develop skills to work in cross-disciplinary teams and across functional boundaries.
MBA degree holders can request waivers for Business Foundation courses they have taken previously. All waivers must be approved by the academic director of the program.
View the MSBAIM sample curriculum (subject to change).
For a searchable directory of courses visit Purdue's online Course Catalog.
Your Coursework
To earn a Master of Science degree in Business Analytics and Information Management (MSBAIM), you must complete at least 36 hours of coursework in the following areas:
CORE Classes
| Credits | Course Title |
|---|---|
| 3 | Business Analytics with SAS |
| 2 | IT Innovation and Advantage |
| 2 | Data Mining |
| 2 | Management of Organizational Data |
| 2 | IT Project Management |
| 2 | Communication Persuasion |
| 2 | Advanced Business Analytics |
| 2 | Spreadsheet Modeling and Simulation |
Total Required Core Classes: 17
Restricted Electives
| Credits | Course Title |
|---|---|
| 2 |
Python Programming NOTE: Students can request to test out of this course. |
| 2 | Data Visualization |
| 2 | Using R for Analytics |
| 2 | Computing for Analytics (Python pre-req) |
| 1 | Cloud Computing I |
| 1 | Cloud Computing II (Eli Project - Pre-req Cloud) |
| 2 | Big Data |
| 2 | Statistical and Machine Learning |
| 2 | Web Data Analytics (Python pre-req) |
| 2 | Analyzing Unstructured Data (571 pre-req) |
| 4 | Industry Practicum |
| 2 | High Dimensional Data Analysis |
| 2 | Machine (Reinforcement) Learning |
| 2 | Customer Analytics |
| 2 | Macro Programming (VBA Programming) |
| 2 | Optimization Mod. w/Spreadsheets (670 pre-req) |
Total Required Credits: 5-6
Free Electives
| Credits | Course Title |
|---|---|
| Up to 5 | Any Krannert Course (MGMT, OBHR, ECON) 500 level and above |
Total Required Credits: Up to 5
Capstone Classes
| Credits | Course Title |
|---|---|
| 3 | Corporate Partners (The Data Mine) |
| 4 | Industry Practicum |
| 3 | Eli Corporate Consulting (GSCM) |
Total Required Credits: 3-4
Business Foundation Classes
| Credits | Course Title |
|---|---|
| 2 | Marketing Management |
| 2 | Investments |
| 2 | Logistics (660 pre-req) |
| 3 | Accounting for Managers |
| 2 | Advanced Corporate Finance |
| 2 | Financial Modeling |
| 2 | Operations Management |
| 2 | New Product Development |
| 2 | Marketing Analytics |
| 2 | Manufacturing, Planning, and Control |
| 2 | Global Supply Chain Management |
| 3 | Financial Management |
| 2 | Portfolio Management |
| 2 | Entrepreneurship |
| 2 | Leadership |
| 2 | Pricing Strategy and Analysis |
| 2 | Data-Driven Markets |
| 2 | Financial Modeling II |
| 3 | Strategic Management |
| 2 | Ethical Supply Chain Management |
| 3 | Intro to Operations Management |
| 2 | Leading Management Diversity |
| 3 | Forensic Accounting & Fraud Exam (No Pre-req) |
| 2 | Change Management |
| 2 | Negotiations |
| 2 | Supply Chain Management (660 pre-req) |
| 2 | Competitive Strategy |
| 2 | Venture Capital |
| 2 | Machine Learning in Marketing |
| 2 | Marketing Analytics |
| 2 | Managing Global HR |
| 2 | Options and Futures (do not need 610 as pre-req) |
| 2 | Strategic HR Management |
Total Required Credits: 6
For a searchable directory of courses visit Purdue's online Course Catalog.