Artificial Intelligence is an emerging field involving multiple engineering disciplines. Graduates of the program will be prepared to contribute to AI through applications in many “traditional” disciplines as well as emerging fields that are only possible with the analytics to manage data and the sophistication to make appropriate decisions based on that data. 

The Master of Engineering (MEng) program provides a graduate degree that focuses on the practice of engineering in order to better serve working professionals. Rather than culminate in a research experience and a thesis, the Master of Engineering curriculum provides skills and expertise that enhance the individual’s ability to contribute to the technical workforce. The difference between the traditional Master of Science degree and the MEng degree is not on the rigor of the coursework or a lack of competencies, but rather on the focus of the curriculum.

The program provides advanced training to students interested in expanding their knowledge and expertise. Depending on a student’s interest, the degree could add significant depth to an individual’s understanding of the practice of engineering or the program could be constructed to focus on greater inter-disciplinary breadth if that is the educational objective of the student. In today’s competitive technology environment, industries need to have highly skilled practicing engineers who are flexible in their professional capabilities. The MEng program is a practice oriented, focused degree and caters to this need.

Curriculum

MENG Artificial Intelligence MEng 2021 update

Core Courses - Project / Task Management
Select one course from the list of courses; other courses may be allowed with permission of adviser.
Course    Title/Desc    Credit
AEEM6067    Entrepreneurship and Technology Law (C min)    3
AEEM6099    Systems Engineering Analysis (C min)    3
CVE6079    Engineering Data Management and Analysis (C min)    3
EECE6032    Software Testing and Quality Assurance (C min)    3
ENGR6014    Engineering Project Management (C min)    3
ENGR6025    Lean Six Sigma (C min)    3
ENGR6031    Engineered Supply Chain Cost Modeling for Sustainability and Innovation (C min)    3
ENGR6032    Industry 4.0 Domains of Knowledge (C min)    3
ENGR6045    Interdisciplinary Innovation for Engineers (C min)    3
ENGR7025    Concurrent Product & Process Design Integrating Control and Quality (C min)    3
MECH6050    Occupational Safety Engineering (C min)    3
MECH6074    Quality Control (C min)    3
Core Courses - Interpersonal Skills
Select one course from the list of courses; other courses may be allowed with permission of adviser.
Course    Title/Desc    Credit
ENGR6002    Management of Professionals (C min)    3
ENGR6003    Organizational Behavior for Technical Professionals (C min)    3
ENGR6010    Effectiveness in Technical Organizations (C min)    3
ENGR6012    Innovation and Design Thinking (C min)    3
ENGR6016    Applied Leadership of Project Teams (C min)    3
ENGR6045    Interdisciplinary Innovation for Engineers (C min)    3
ENGR6050    Fundamentals of Leadership (C min)    3
MGMT7014    Leadership and Organizations (C min)    2
OLHR6050    Teams (C min)    3
OLHR8029    Individual Behavior in the Workplace (C min)    2 - 3
OLHR8090    Strategic Leadership for HR (C min)    2 - 3

AI Elective courses
Take four or more courses from the following list. Additional courses can be approved by the student's adviser
Course    Title/Desc    Credit
AEEM6088    Machine Learning Techniques for Engineers (C min)    3
AEEM6096    Fuzzy Control Systems (C min)    3
AEEM6097    Soft Computing Based AI (C min)    3
CS6101    Introduction to Applied Artificial Intelligence and Machine Learning Tools (C min)    3
CS6021    Mathematical Logic (C min)    3
CS6037    Machine Learning (C min)    3
CS6054    Information Retrieval (C min)    3
CS7063    Advanced Methods in Machine Learning (C min)    3
EECE7065    Complex Systems and Networks (C min)    3
ENGR7001    Master of Engineering Seminar    3

NULL

Admission Requirements

Undergraduate degree in engineering, engineering technology or computer science from an ABET accredited program with a cumulative GPA of 3.0 or better. Individuals who do not meet those requirements may be considered by submitting additional materials that demonstrate their ability to be successful in a graduate program.

International applicants must demonstrate English language proficiency.

Undergraduate degree in engineering, computer science or a closely related field with a cumulative GPA of 70% or better. GRE scores. Demonstrated proficiency in English language.

Tuition fee-1 year-$30,000