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 Colleges 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’s degree.
Applicant Information
- Delivery Method: On Campus, Online, Hybrid
- Entrance Exam: None
- Interview Required: None
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
- Brandon M. McConnell, Interim Director
Full Professors
- Sebastian Heese , Owens Distinguished Professor of Supply Chain Management
- John Baugh, Professor
- Joseph DeCarolis, Professor
- Jingyan Dong, Professor
- Yahya Fathi, Professor
- Ola Harrysson, Edward P. Fitts Distinguished Professor
- Jessica Jameson, Professor
- Edward Jaselskis, E.I. Clancy Distinguished Professor
- Russell King, Foscue Distinguished Professor
- Yuan-Shin Lee, Professor
- Maria Mayorga, Professor
- Rohan Shirwaiker, James T. Ryan Professor
- Daowen Zhang, Professor
Associate Professors
- Karen Chen, Associate Professor
- Adolfo R. Escobedo, Associate Professor
- Michael Kay, Associate Professor
- Tim Kraft, Associate Professor of Operations and Supply Chain Management
- Osman Ozaltin, Associate Professor of Personalized Medicine
- Daniel Saloni, Associate Professor
- Jeffrey Stonebraker , Associate Professor of Operations and Supply Chain Management
- Hong Wan, Associate Professor
- Don Warsing, Associate Professor of Operations and Supply Chain Management
Assistant Professors
- Xiaolei Fang, Assistant Professor
- Leila Hajibabai, Assistant Professor
Associate Research Professor
- Christopher D. Rock, Associate Research Professor
Associate Teaching Professor
- Meagan Kittle Autry, Associate Teaching Professor
- S. Sebnem Ahiska King, Teaching Associate Professor
- Fred Livingston, Associate Teaching Professor
- Kanton Reynolds, Associate Teaching Professor
Teaching Assistant Professor
- Nur Ozaltin, Teaching Assistant Professor
Professor of the Practice
- Doug Morton, Professor of the Practice
- James Rispoli, Professor of the Practice
- Michael Spano, Professor of Practice
Emeritus Faculty
- Javad Taheri, Associate Research Professor Emeritus
Associate and Adjunct Faculty
- Edwin Addison, Adjunct Professor
Lecturers
- Steven DelGrosso, Lecturer
- Dan Harris, Lecturer
- Dan Kempton, Adjunct Lecturer
- Robert Nunez, Lecturer