The online graduate certificate in Data Science is designed for professionals with a background in computer science, who want to enrich their expertise in this important field.
Offered by the J.B. Speed School of Engineering at the University of Louisville, the Data Science Certificate delivers comprehensive knowledge and skills through just 6 intensive courses. Developed collaboratively by UofL’s Department of Computer Science in Engineering (CSE) and Department of Mathematics, this program prepares you to meet the growing demand for trained data scientists in today’s technology-driven world.
This certificate qualifies for financial aid. Tuition rate does not include costs associated with a specific course or program, such as textbooks. Other fees apply
"While I had a lot of experience in data analysis and reporting, I lacked the formal training of a Data Scientist. I decided to [earn] the Data Science certificate because I wanted to learn the most cutting edge skills. I've always liked working with numbers, and I've always been fascinated by data science—and the more and more I get into it, the more interesting things I want to do."
Data scientists are specialists in finding hidden connections in large masses of stored data, and are critical to industries including insurance, health care, retail, education, banking, manufacturing, pharmaceuticals, biotechnology, travel, government and intelligence. In today's economy, organizations across all industries, can reap the enormous payoffs of data science.
Graduates of this program are well suited to apply their credentials to various fields and may obtain positions as:
|Preferred Application Deadline||Term||Start Date|
Note: We admit students on a rolling basis. The preferred deadlines help you complete the application process on time, be notified of acceptance and enroll before the term begins. We review applications as they become complete, and admit students for a specific term up to the day classes start. We recommend you work on and submit your complete application well in advance of the preferred deadline, as obtaining transcripts and other materials may take more time.
For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at firstname.lastname@example.org.
Send all materials to:
University of Louisville
2211 S. Brook Street
Louisville, KY 40292
*See the Graduate School Transfer of Credit Policy for more information.
The online graduate Data Science Certificate is an 18 credit hour program that requires 9 credit hours in core courses and 9 credit hours in electives. You will have the option of choosing any three of the electives listed below, specializing your certificate to match your interests or career goals.
CSE 535 Intro to Databases
or CSE 536 Data Management and Analysis
|CSE 632 Data Mining||3|
|CSE 635 Data Mining with Linear Models||3|
|Total Required Hours||9|
|Course [choose 3]||Hours|
|CSE 522 Performance Evaluation of Computer Systems||3|
|CSE 545 Artificial Intelligence||3|
|CSE 619 Design and Analysis of Computer Algorithms||3|
|CSE 621 Web Mining for E-Commerce||3|
|CSE 622 Simulation and Modeling of Discrete Systems||3|
|CSE 630 Advanced Databases and Data Warehousing||3|
|CSE 660 Introduction to Bioinformatics||3|
|CSE 694 Special Topics in Data Mining: Legal Issues in Data Mining||3|
|CSE 694 Special Topics in Data Mining: BIG DATA: Document-oriented DB||3|
|MATH 560 Statistical Data Analysis||3|
|MATH 561 Probability||3|
|MATH 562 Mathematical Statistics||3|
|MATH 667 Statistical Inference||3|
|Total Required Hours||9|
The faculty at the University of Louisville are leaders in the field of Data Science, Data Warehousing, and Data Analysis. Their expertise spans the use of text, web, numerical, and image databases. They have worked in application areas such as medical, e-commerce, security, military, institutional, and financial research. Our faculty have authored or contributed to textbooks and professional publications and have received research awards from the National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), National Institutes of Health (NIH), and Department of Defense (DoD).