Dual M.S./M.Eng.-MBA degree in Applied Artificial Intelligence
The dual MS/MEng-MBA degree is designed for students that seek to have a deep technical knowledge in Electrical Engineering, or Computer Engineering or Applied Artificial Intelligence as well as strong management skills and qualifications. An engineering degree coupled with an MBA provides a great mixture of education and creates a well-rounded employee. This joint degree will give engineering students strong business management skills to complement their Engineering degree, accelerating their growth into management positions and opening a more diverse selection of career choices. The students will earn two separate master’s degrees at completion of this dual degree program.
This dual program offers an exceptional combination of management skills with deep and practical knowledge of the technical aspects of electrical and computer engineering. The MBA program is particularly suited for engineers, as it incorporates a unique blend of courses on management skills, technology and analytics skills, and human skills.
Students in this program benefit from close interaction with an internationally recognized faculty body with diverse educational and professional backgrounds both in the School of Engineering and Science and in the School of Business; from the hybrid format of many classes; summer classes; and networking opportunities with alumni from both schools.
This dual degree program requires completion of a total of 57 credits, including 10 courses (30 credits) from the MS/ME degree program and additional 9 courses (27 credits) from the MBA degree program.
Dual MS/MEng degree in Applied Artificial Intelligence and MBA Degree Requirements
The dual MS/ME-MBA degree is designed for students that seek to have a deep technical knowledge in Applied Artificial Intelligence as well as strong management skills and qualifications. An engineering degree coupled with an MBA provides a great mixture of education and creates a well-rounded employee. This joint degree will give engineering students strong business management skills to complement their Engineering degree, accelerating their growth into management positions and opening up a more diverse selection of career choices. The students will earn two separate Master’s degrees at completion of this dual degree program.
This dual program offers an exceptional combination of management skills with deep and practical knowledge of the technical aspects of applied artificial intelligence. The MBA program is particularly suited for engineers, as it incorporates a unique blend of courses on management skills, technology and analytics skills, and human skills.
Students in this program benefit from close interaction with an internationally recognized faculty body with diverse educational and professional backgrounds both in the School of Engineering and Science and in the School of Business; from the hybrid format of many classes; summer classes; and networking opportunities with alumni from both schools.
Mathematical Foundation Courses
Students are required to select one mathematical foundation course from the list below:
| EE 602 | Analytical Methods in Electrical Engineering | 3 |
| Or | |
| EE 605 | Probability and Stochastic Processes I | 3 |
Core Courses
Students are required to select four core courses from the list below:
| AAI 627 | Data Acquisition, Modeling and Analysis: Big Data Analytics | 3 |
| AAI 628 | Data Acquisition, Modeling and Analysis: Deep Learning | 3 |
| AAI 646 | Pattern Recognition and Classification | 3 |
| AAI 672 | Applied Game Theory and Evolutionary Algorithms | 3 |
| AAI 695 | Applied Machine Learning | 3 |
| EE 608 | Applied Modeling and Optimization | 3 |
Business Operations for AAI Concentration (required)
Select three courses from the list
| BIA 500 | Business Analytics: Data, Models & Decisions | 3 |
| BIA 610 | Applied Analytics | 3 |
| MGT 657 | Operations Management | 3 |
Project or Thesis
Students in the Master of Science program are required to complete:
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Project Track: 3 credit project course (800 course) and a 3 credit elective course at the 500 or 600 level. Students who enroll in the 3 credit project course (800 course) are required to enroll in the 0-credit co-requisite research seminar course, EE 820. The 3 credit elective course can be any graduate level course at the 500 or 600 levels within the Department of Electrical and Computer Engineering. Elective courses that are taken outside of the department require approval by the faculty advisor.
OR
Electives
Students in the Master of Engineering program are required to complete two elective courses (6 credits). Elective courses can be any graduate level course at the 500 or 600 levels within the Department of Electrical and Computer Engineering. Elective courses that are taken outside of the department require approval by the faculty advisor.
Requirements for MBA degree (with ECE concentration) in the dual degree program
| MGT 606 | Economics for Managers | 3 |
| FIN 623 | Financial Management | 3 |
| MGT 612 | Leader Development | 3 |
| MGT 635 | Managerial Judgment and Decision-Making | 3 |
| MGT 641 | Marketing Management | 3 |
| MGT 663 | Discovering and Exploiting Entrepreneurial Opportunities | 3 |
| MGT 699 | Strategic Management | 3 |
| MGT 810 | Special Topics in Management | 3-1 |