Dual Master of Science-MBA Degree in Electrical Engineering

The dual Master of Science-MBA in Electrical Engineering degree is designed for students that seek to have a deep technical knowledge in electrical engineering as well as strong management skills and qualifications. This joint degree will give 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.

Concentrations

• Business Operations for Electrical Engineering

Program Objectives

The program prepares students to:

• develop a strong background in understanding the theoretical foundations of artificial intelligence and deep learning.

• understand a variety of engineering applications for AI, including intelligent communication networks, autonomous robotics, image processing and computer vision, embedded systems, smart Internet of Things, smart health, information systems security, biomedical engineering, financial engineering, transportation engineering, data engineering, and software engineering.

• perform independent research in the applied AI field.

• become managers/leaders in engineering firms or engineering departments of any firm. 

• establish new ventures and startups with expertise in engineering and the skills to start a business.

Program Outcomes

By the time of graduation, students will be able to:

• apply knowledge in mathematics, computational science and physics to solve problems in artificial intelligence.

• analyze real-world data inputs and information systems using engineering principles and modeling approaches.

• design experiments and analyze results to determine process parameters, and to identify issues and methods for algorithm design and system analysis.

• use mathematical, modeling, and engineering principles to design artificial intelligent algorithms and systems.

• incorporate considerations such as feasibility, applicability, cost, legal/regulatory, societal impacts, etc. in designs.

• use computer software for data acquisition, modeling, simulation, visualization and intelligent system design.

• write and present polished technical reports at a level expected of the engineering profession.

• critically evaluate the technical literature and use it to obtain solutions to artificial intelligence and data engineering problems.

• acquire in-depth technical and managerial skills to be able to be effective leaders in technology companies in their field of study.

• develop basic skills of management as well as gain knowledge of analytical methods for approaching organization problems. 

• integrate managerial and technical aspects of computer engineering. 

• demonstrate fluency in the current body of knowledge in computer engineering and apply that knowledge toward optimal decision-making process in their respective field of practice.

• exhibit proper use of integrative thinking in order to holistically analyze the relationship between human activity and the natural, social, and economic environments. 

• acquire both qualitative and quantitative analytical skills and apply those skills in solving problems in the context of their professional interests and expertise. 

• possess high quality written and oral communication skills to efficiently communicate complex issues to a varied audience. 

• demonstrate a high level of professionalism and proper understanding of ethical boundaries in all undertakings.