TECH Master of Business Administration
Home Department: School of Management
Program Advisor/Contact:
School of Management
810-762-9630
som@kettering.edu
Program Overview
Kettering University’s Technical Master of Business Administration (TECH MBA) provides graduates of STEM undergraduate degree programs with a stimulating on-campus educational experience that is at the intersection of contemporary business and cutting edge technical fields. The STEM-designated program prepares graduates who can be ambidextrous with business and technology in leading organizations both as technology experts and digital value creators while competing in an economy characterized by disruptive innovations and digital reinvention & reconfiguration.
The seated 40-credit TECH MBA programs contain seven (28 credits hours) core business courses with an additional three graduate elective courses (12 credits hours) in a specific technical emphasis area among the options listed below:
- Artificial Intelligence
- Advanced Mobility
- Advanced Manufacturing
- Data Analytics and Big Data
- Materials Science and Engineering
- New Energy and Sustainability
- Systems Engineering
- Logistics & Supply Chain Management
Students may select a management internship course as part of the core program and may start the program in any term. Elective course selections in technical emphasis areas must be approved by the Department Head of the department where the course is offered, the Advisor in the School of Management, and the Dean of the Graduate School.
Prerequisites
A foundational level of knowledge in critical areas is required prior to beginning the TECH Master of Business Administration program. This foundation helps to ensure that students are prepared to fully engage and succeed in the coursework associated with graduate programs in management. Students must have an undergraduate course in each of the following areas, complete MGMT-510 Foundations of Business, or test out of individual prerequisite courses through self-directed study.
Areas of prerequisite knowledge:
Economics, Managerial Accounting, Statistics, Management, Marketing
Required Courses
| Code | Title | Credit Hours |
|---|---|---|
| ACCT-639 | Managerial Accounting | 4 |
| FINC-619 | Financial Management | 4 |
| MGMT-629 | Management Science | 4 |
| MGMT-639 | Managing People & Organization | 4 |
| or BUSN-689 | Organizational Behavior | |
| MRKT-679 | Marketing Management | 4 |
| MGMT-665 | Strategic Management | 4 |
| Choose One | 4 | |
| International Business | ||
| Leadership | ||
| Project Management | ||
| Internship in Management | ||
| Total Credit Hours | 28 | |
Technical Emphasis Areas
| Code | Title | Credit Hours |
|---|---|---|
| Data Analytics & Big Data | 12 | |
| Choose Three | ||
| COMM-601 | Communicating about Data | 4 |
| CS-601 | Programming Methods for Data Science | 4 |
| CS-641 | Foundations of Data Science | 4 |
| CS-651 | Cloud Computing: Architecture & Applications | 4 |
| CS-661 | Database Systems | 4 |
| CS-665 | Information Retrieval and Data Mining | 4 |
| CS-682 | Machine Learning | 4 |
| MGMT-623 | Data Analytics | 4 |
| MGMT-624 | Data Visualization | 4 |
| MGMT-625 | Digital Strategy and Competitive Advantage | 4 |
| MATH-627 | Probability and Stochastic Modeling | 4 |
| Artificial Intelligence | 12 | |
| CS-601 | Programming Methods for Data Science | 4 |
| Choose Two of the Following: | ||
| CS-665 | Information Retrieval and Data Mining | 4 |
| CS-681 | Artificial Intelligence | 4 |
| CS-682 | Machine Learning | 4 |
| Advanced Mobility | 12 | |
| Choose Three | ||
| CE-642 | Mobile Robotics | 4 |
| CE-652 | Artificial Intelligence for Autonomous Driving | 4 |
| CE-654 | Computer Vision for Autonomous Driving | 4 |
| ECE-610 | Modeling of Dynamic Systems | 4 |
| ECE-630 | Digital Signal Processing Techniques for Automotive Engineering | 4 |
| ECE-632 | Automotive Control Systems | 4 |
| ECE-642 | Machine Drives for Electric Vehicles | 4 |
| New Energy & Sustainability | 12 | |
| MECH-426 | Fuel Cell Science and Engineering | 4 |
| MECH-427 | Energy and the Environment | 4 |
| MECH-428 | Bio and Renewable Energy | 4 |
| Material Science & Engineering | 12 | |
| MECH-416 | Introduction to Finite Element Analysis with Structural Applications | 4 |
| MECH-482 | Mechanics and Design Simulation of Fiber-Reinforced Composite Materials | 4 |
| MECH-610 | Mechanics of Materials I: Linear Elasticity | 4 |
| Advanced Manufacturing | 12 | |
| Choose Three | ||
| IME-601 | IME Principles for Mobility Systems | 4 |
| IME-603 | Numerical Control Machining | 4 |
| IME-608 | Industrial Robotics | 4 |
| IME-622 | Simulation | 4 |
| IME-662 | Ergonomics | 4 |
| IME-663 | Safety & Human Factors | 4 |
| IME-665 | Human-Computer Interaction and Interface Design | 4 |
| Systems Engineering | 12 | |
| CS-601 | Programming Methods for Data Science | 4 |
| ECE-610 | Modeling of Dynamic Systems | 4 |
| IME-601 | IME Principles for Mobility Systems | 4 |
| Logistics/Supply Chain Management | 12 | |
| Choose Three | ||
| IME-652 | Production System Design | 4 |
| IME-653 | Tools for Managing the Supply Chain | 4 |
| IME-654 | Enterprise Resource Planning | 4 |
| IME-676 | Lean Six Sigma | 4 |
| MGMT-669 | Supply Chain Management | 4 |