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 602Analytical Methods in Electrical Engineering

3

Or

EE 605Probability and Stochastic Processes I

3

Core Courses

Students are required to select four core courses from the list below: 
AAI 627Data Acquisition, Modeling and Analysis: Big Data Analytics

3

AAI 628Data Acquisition, Modeling and Analysis: Deep Learning

3

AAI 646Pattern Recognition and Classification

3

AAI 672Applied Game Theory and Evolutionary Algorithms

3

AAI 695Applied Machine Learning

3

EE 608Applied Modeling and Optimization

3

Business Operations for AAI Concentration (required)

Select three courses from the list
BIA 500Business Analytics: Data, Models & Decisions

3

BIA 610Applied Analytics

3

MGT 657Operations Management

3

Project or Thesis

Students in the Master of Science program are required to complete:

  • 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

  • Thesis Track: 6 credit thesis course (900 course). Students need to take the first 3 credit thesis course (900 course) in the third semester and the second 3 credit thesis course (900 course) in the fourth semester.

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 606Economics for Managers

3

FIN 623Financial Management

3

MGT 612Leader Development

3

MGT 635Managerial Judgment and Decision-Making

3

MGT 641Marketing Management

3

MGT 663Discovering and Exploiting Entrepreneurial Opportunities

3

MGT 699Strategic Management

3

MGT 810Special Topics in Management

3-1