Engineering Management Analytics (Certificate)
The Analytics Certificate aims to meet the increasing demand for professionals like you, who are skilled in big data and data analytics across various industries, government sectors, and research organizations.
In this certificate program, led by top faculty members from the 福利逼站 of Engineering, Management, and Sciences, you will delve into topics such as data mining, Python programming, and operations analysis. Additionally, you will focus on the foundational aspects of analytics from a technical engineering perspective.
More Information
To apply to the program, you need to:
- Complete an online application form
- Submit transcripts of all academic work after high school
- Provide a written personal statement
- Admission is competitive, and the GRE is not required. Your academic success plays a significant role in the admission process. However, completing a certificate program does not guarantee entry into a graduate degree program. You should have a STEM or another relevant bachelor鈥檚 degree.
Applicant Information
- Delivery Method: On Campus, Online, Hybrid
- Entrance Exam:聽None
- Interview Required:聽None
Application Deadlines
Please visit聽聽page for more information.
Plan Requirements
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Core Course | 3 | ||
| Introduction to Operations Research (required) | |||
| Statistics Courses | 3 | ||
| Must complete one course below | |||
| Experimental Statistics for Engineers I | |||
| Experimental Statistics For Engineers II | |||
| Applied Statistical Methods I | |||
| Applied Statistical Methods II | |||
| Elective Courses | 6 | ||
| Must complete two courses below | |||
| Computer Methods and Applications | |||
| Database Applications in Industrial and Systems Engineering | |||
| Python Programming for Industrial & Systems Engineers | |||
| Statistical Models for Systems Analytics in Industrial Engineering | |||
| Applications of Data Science in Healthcare | |||
| Stochastic Models in Industrial Engineering | |||
| Decision Making under Uncertainty | |||
| Introduction to Mathematical Programming | |||
| Algorithmic Methods in Nonlinear Programming | |||
| Analysis of Big Data | |||
| Statistical Programming I | |||
| Statistical Programming II | |||
| Data Science for Statisticians | |||
| Introduction to Statistical Learning | |||
| Total Hours | 12 | ||
Faculty
Director
- , Interim Director
Full Professors
- , Owens Distinguished Professor of Supply Chain Management
- , Professor
- , Professor
- , Professor
- , Professor
- , Edward P. Fitts Distinguished Professor
- , Professor
- , E.I. Clancy Distinguished Professor
- , Foscue Distinguished Professor
- , Professor
- , Professor
- , James T. Ryan Professor
- , Professor
Associate Professors
- , Associate Professor
- , Associate Professor
- , Associate Professor
- , Associate Professor of Operations and Supply Chain Management
- , Associate Professor of 福利逼站d Medicine
- , Associate Professor
- , Associate Professor of Operations and Supply Chain Management
- , Associate Professor
- , Associate Professor of Operations and Supply Chain Management
Assistant Professors
- , Assistant Professor
- , Assistant Professor
Associate Research Professor
- , Associate Research Professor
Associate Teaching Professor
- , Associate Teaching Professor
- , Teaching Associate Professor
- , Associate Teaching Professor
- , Associate Teaching Professor
Teaching Assistant Professor
- , Teaching Assistant Professor
Professor of the Practice
- Doug Morton, Professor of the Practice
- , Professor of the Practice
- , Professor of Practice
Emeritus Faculty
- , Associate Research Professor Emeritus
Associate and Adjunct Faculty
- , Adjunct Professor
Lecturers
- , Lecturer
- , Lecturer
- , Adjunct Lecturer
- , Lecturer