| Program start date | Application deadline |
| 2024-05-13 | - |
Program Overview
The Engineering Analytics Certificate program equips students with the skills to analyze and interpret enterprise-level data using optimization algorithms and machine learning. Led by experienced faculty, the program includes courses in statistics, information systems, database management, and predictive analytics. Graduates are qualified for various positions in industries such as healthcare, government, and manufacturing.
Program Outline
Outline:
Engineering Analytics Certificate
The Engineering Analytics Certificate curriculum includes two "depth" and two "breadth" courses to help you become a highly skilled and well-rounded analyst. Through this coursework, you'll come to understand the use of information systems in engineering and learn to work with enterprise-level data tools, optimization algorithms, and machine learning.
Courses:
- Statistics for Engineering Management: EMGT 6100 (4 credit hours)
- Information Systems Engineering: EMGT 6200 (3 credit hours)
Teaching:
Learn From Leading Experts
The faculty in the Engineering Analytics Certificate program are highly qualified researchers with real-world experience. Learn to incorporate analysis into management, from professors who have done it themselves. As a student, you'll benefit from:
- Most faculty are Ph.D. level.
- Decades of real-world leadership experience.
Careers:
Career Opportunities in Engineering Analytics
Mastery of engineering analytics can open up many doors in environments where enterprise-level data skills are needed to reveal threats and opportunities. Become qualified for a wide range of positions in any organization, from health care to government to all industries to military and everything in between. Qualify for advancement in your current role or various rewarding positions as you take your career in a new and exciting direction.
- Engineering Manager
- Computer Systems Analyst
- Industrial Production Manager