Data Science Certificate

The Undergraduate Certificate in Data Science is a comprehensive program designed to equip students with the knowledge and skills necessary to thrive in the dynamic field of data science. This program integrates foundational principles with hands-on, practical experience to prepare students for careers in data analysis, machine learning, and other data-driven roles across diverse industries.

Campus: Knoxville, Distance Education

Undergraduate Certificate Type: Add-On, Stand-Alone

Credit Hours Required

The Data Science Certificate consists of 12 credit hours.

Required Course (3 Credit Hours)

DATA 101 - Data Knowledge and Discovery 3 Credit Hours ^*

Elective Courses (9 Credit Hours)

Select three courses from the list below:

DATA 102 - Data Stewardship and Ethics 3 Credit Hours
DATA 202 - Data Management and Visualization 3 Credit Hours ¹
DATA 203 - Analytical Methods of Data Science 3 Credit Hours ^*
DATA 303 - Advanced Data Analysis 3 Credit Hours
DATA 304 - Data Wrangling 3 Credit Hours
DATA 395 - Special Topics in Data Science 3 Credit Hours
DATA 401 - Visual Analytics 3 Credit Hours
DATA 495 - Special Topics in Data Science 3 Credit Hours
IARC 321 - Advanced Representation 2 Credit Hours ²
IE 340 - Design of Experiments 3 Credit Hours ²
IE 465 - Applied Data Science 3 Credit Hours ²
INSC 260 - Programming for Information Applications 3 Credit Hours
INSC 384 - Database Design 3 Credit Hours
INSC 484 - Database Applications 3 Credit Hours ²
INSC 486 - Data Analytics 3 Credit Hours ²
INSC 489 - Information Visualization 3 Credit Hours ²
MATH 423 - Probability 3 Credit Hours ²
MATH 424 - Stochastic Processes 3 Credit Hours ²
MATH 425 - Statistics 3 Credit Hours ²

Footnotes

¹ is the prerequisite for DATA 203 , DATA 303 , DATA 304 , and DATA 401 .

² Course has its own set of prerequisites. Please consult the catalog for more information.

* Meets Volunteer Core Requirement.

Undergraduates

Graduate Students