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Data Science Undergraduate Certificate

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With the rise of big data, there is a real demand for specialized knowledge in data science. The ability to gather, analyze, interpret, and visualize data is valuable in any field.

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Online Data Science Undergraduate Certificate

This program is 100% online and designed to give you fundamental data analytics skills and increase your value as a part of any team.

The certificate prepares you for the future of work, with essential analytical and technical knowledge and the skills to solve real-world data science problems in almost any business setting.

Designed for individuals from all academic backgrounds, this program requires no prior experience. Students can take this in line with their existing degree program or as a non-degree seeking certificate.

You will complete a total of five courses that cover:

  • Computational and statistical foundations of data science
  • Assumptions and limitations of different data analytics techniques
  • Applying data science methodologies and tools to data-driven problems across disciplines
  • Extracting knowledge from big data to address real-world challenges
  • Retrieving, manipulating, analyzing, and visualizing data utilizing Python, R, and other data science tools

Careers to Pursue with an Undergraduate Certificate in Data Science

Because there is a growing need for data-science capable professionals, this program prepares individuals for careers in data science-related fields. Job titles can include:

  • Data Analyst
  • Business Intelligence
  • Developer

After you complete this course, you’ll be prepared to apply data science in diverse disciplines such as:

  • Business
  • Engineering
  • Education
  • Defense and Security
  • Natural Sciences
  • Humanities
  • Health Care
  • Social Sciences
  • and many others!


The Data Science Undergraduate Certificate program requires 15 hours of coursework and is 100% online.

DS 4003. Introduction to Data Science

An introduction to the Data Science life cycle and concepts associated, to include ethics. Focus areas on data visualization, data curation, and tools available for analysis will be covered. Prerequisite: MAT 1023, MAT 1043, MAT 1053 (or higher), or the equivalent, or consent of the instructor. 

DS 4013. Programming for Data Science

An introduction to computer programming emphasizing structured programming, problem solving, and algorithmic thinking. Topics may include assignment, decisions, loops, functions, arrays/lists, and use of math/stat packages. Prerequisite: MAT 1073 or the equivalent.

DS 4023. Data Organization and Visualization

This course focuses on programming concepts that are involved in integrating, loading, processing, and transforming data from external sources for exploratory data analysis and visualization. Topics may include extended programming concepts, file input/output, recursion, searching algorithms, and data visualization using data science software packages and APIs. Prerequisite: DS 4013 or the equivalent. 

DS 4033. Data Mining and Machine Learning

This course utilizes fundamental data science concepts to introduce in-depth analysis, data mining, machine learning, and artificial intelligence. Topics may include clustering, classification, evaluation metrics, supervised and unsupervised learning, search algorithms, intelligent agents, and AI applications in select areas. Prerequisite: DS 4013.

STA 3003. Applied Statistics

Introduction to the Scientific Method; principles of sampling and experimentation; scales of measurement, exploratory data analysis; introduction to basic probability; models for discrete and continuous data; simple simulations and inferences based on resampling; fundamentals of hypothesis testing and confidence intervals; introduction to analysis of variance and linear regression model. The course will emphasize data analysis and interpretation and effective communication of results through reports or presentations. Prerequisite: Completion of or concurrent enrollment in MAT 1093, MAT 1133, MAT 1214, or an equivalent.

The certificate is open to all UTSA undergraduate students, including non-degree seeking students, regardless of their college or major. Applicants who are currently enrolled in an undergraduate degree program at UTSA have already met University requirements for admission.

In addition to the stated Steps to Apply found below, applicants are requested to provide evidence of earning a C- or better College Algebra or higher if this course is not already included in the last 30 undergraduate hours attempted.

If you have not completed College Algebra or higher, contact us to find out about your options.

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