Master of Science Data Analytics - UTSA College of Business

Become a data savvy professional and learn the latest tools, techniques and applications used to transform data into meaningful information with a master’s in data analytics.

UTSA College of Business Masters in Data Analytics Students Equip yourself with best practices in data analytics and apply your education by performing real-world data analytics through intensive practicum coursework with strategic business partners. Learn how to analyze data sets and develop communication and visualization techniques, to effectively communicate data insights within organizations.

The UTSA Master of Science in Data Analytics (MSDA) program focuses on data science and big data-based business intelligence-oriented analytics algorithms, tools, techniques and technologies. The curriculum includes a blend of statistics, machine learning and computer programming coursework with a focus on applications in marketing, finance, social media, health care, cyber security, etc.

Master’s in data analytics graduates are highly skilled and educated data analysts, who transform Big Data into usable information for decision-makers across a variety of disciplines including business, healthcare and national security. According to the Bureau of Labor Statistics, the occupational category for operations research analysts (which includes data and business analytics analysts and managers), is anticipated to grow 26 percent over 2018-2028.

Make the right choice and earn your Master of Science in Data Analytics degree from The University of Texas at San Antonio Carlos Alvarez College of Business.

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Credit Hours

Hours of Required Courses

Hours of Required Practicum

40-60

Average Cohort Size

Months to Complete Full-Time Daytime Program

$109K

Median Salary For UTSA Data Analytics Graduates

Program Starts

Fall (Late-August)

Program Length

30 credit hours (24 hours of required courses and six hours of required practicum)
12 months for full-time daytime cohort
21 months for evening cohort

Program Delivery

Classroom Delivery (online through Fall 2021)
Daytime and evening cohorts

Cohort Size

40-50 daytime cohort
50-60 evening cohort

Program Cost

The tuition cost and related fees indicated below will vary by semester, number of courses taken, residency status and enrollment level (full-time or part-time).

~$18,500* for the full-time daytime cohort
~$19,700* for the evening cohort

*The current costs are based on in-state tuition for the 2021-2022 Graduate Student fee schedule. For the current fee schedule, consult: utsa.edu/fiscalservices/tuition.cfm

Fees and Funding

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Employers Who Recruit UTSA Data Analytics Graduates

American Express
Booz Allen Hamilton
Caesar’s Casino Las Vegas
Chicago Fire Football Club
Fiserv
GM Financial
Group O

Harland Clarke
H-E-B
IBM
Outdoorsy
Rackspace
San Antonio Spurs
University Health Systems

USAA
Valero
Various agencies within the Intelligence Community
Veracity Forecasting and Analysis
Verizon Business
Western States Pharmacy Coalition

Critical Technology Studies Program

As a member of the Intelligence Community Center of Academic Excellence, the UTSA Carlos Alvarez College of Business is offering two options for MSDA students to participate in the Critical Technology Studies Program (CTSP) and receive specialized training regarding the intelligence community and the national security field.

MSDA majors can elect to pursue the CTSP track which provides students with critical technology skills and allows them to specialize in intelligence studies by completing three national security courses and engaging in a hands-on practicum with UTSA’s government and industry partners working in the national security sector.

Students can also elect to pursue the CTSP track, but also complete the Intelligence Studies Certificate. In this option, students complete the traditional MSDA program, but complement their knowledge and expertise with additional intelligence-related courses that culminates with the Intelligence Studies certificate.

Funding is available for students pursuing these options. For more information, visit the CTSP Website.

UTSA College of Business Students

Data Analytics Practicum (Six Credit Hours)
Data Analytics Applications
Data Analytics Tools and Techniques
Data Analytics Visualization and Communication

Data-Driven Decision Making and Design
Data Foundations
Deep Learning on Cloud Platforms
Predictive Modeling
Statistical Modeling

Degree Requirements

The online application form is available through UTSA’s Graduate School website, and it may be saved and updated until you are ready to pay the application fee and submit.

In addition to the application requirements below, applicants must also meet university-wide graduate admission requirements.

Application Requirements

Completed application form: Includes loading all required documents, paying your application fee and clicking on the “Submit” button.
Current resume: Include employment or other related experience.
Letters of reference: Students can submit a request for letters of recommendation through the online application. The application system will send their recommenders a rating form and a section for them to upload their letter.
Personal statement: Approximately 1-2 pages, there are no specific format requirements but your letter should identify why you are interested in this program at UTSA.
Requirement for standardized tests: GRE/GMAT are waived for Fall 2021 admission.
Transcripts: Unofficial transcripts must be submitted with application materials. If your application is successful, official transcripts are required from all colleges and universities attended by the end of your first semester. Transcripts must be received in a completely sealed envelope, or emailed directly from the issuing institution to be considered official.
- Electronic official transcript submissions: graduate.documents@utsa.edu
- Mailing address for official transcripts:
  - The University of Texas at San Antonio
    Attn: The Graduate School
    One UTSA Circle San Antonio, TX 78249
- Required foreign credential evaluation: All applicants including non-U.S. citizens (International), U.S. Citizens, and permanent residents who have earned university-level credit from foreign institutions are required to submit official transcripts along with a mandatory evaluation of the transcripts from Foreign Credentials Service of America. An approved evaluation requires a detailed course-by-course evaluation. Summaries will not be accepted.
International applicant TOEFL/IELTS test scores: Until further notice, any applicants with a TOEFL/IELTS score on hand should submit their result (regardless of date) as part of the application. Applicants without TOEFL/IELTS scores, will complete alternate evaluations to demonstrate English proficiency following admission.
Applicant Evaluation: Applicants will be evaluated for success in the program based on demonstrable academic preparation and/or experience with respect to mathematics, statistics and information technology. Coursework in calculus, differential equations, stochastic processes, statistics and data mining are not required, but show foundational mathematical preparation and are preferred in some combination.

Information systems/technology courses, computer science courses, and/or professional experience related to databases, networks, distributed and cloud infrastructures, and programming are not required, but show foundational information technology preparation and are preferred in some combination.

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Master of Science
Data Analytics

Become a data savvy professional and learn the latest tools, techniques and applications used to transform data into meaningful information with a master’s in data analytics.

Application Requirements

Department Pages

Master of Science in Statistics and Data Science

Graduate Certificates

Ph.D. in Marketing