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The Graduate School is committed to advancing academic excellence in graduate and postdoctoral education and training. We have several departments that can assist you with questions regarding professional development activities, administrative processes, and graduate student success initiatives.
Office Hours: 8 A.M. to 5 P.M., Monday through Friday
Campus Location: MS 4.01.52
Phone:210-458-4331
Fax: 210-458-4332
Email: graduate.school@utsa.edu
Questions regarding admissions and recruiting.
Master of Science Data Analytics
Are you a deep thinker that jumps at the opportunity to absorb complex information, distilling it into usable insights for the masses? Perhaps you are a tech enthusiast that has a knack for spotting trends and leveraging data to support your findings. If this sounds like you, then apply to the Master’s in Data Analytics at UTSA.
About the Program
The Master of Science in Data Analytics (MSDA) is composed of a blended curriculum that fuses business, information technology, machine learning, deep learning, and statistics coursework. The program prepares students to jump right into the workforce by encompassing a versatile combination of core competencies, including data analytics algorithms, predictive modeling, data architecture management, and analytical interpretation. Designed by the UTSA Alvarez College of Business faculty, experience an immersive program aimed at equipping students with the best practices in data analytics. Upon completion, students transform into highly-skilled and educated data scientists with the ability to synthesize Big Data into usable information for decision-makers across virtually any industry.
What You’ll Learn
The Data Analytics Master’s degree will teach you to sharpen your critical and analytical thinking skills through this experiential learning program. Merging traditional business intelligence oriented analytics with a real-world data analytics approach, expect to apply the tools learned by performing simulations, giving an authentic experience of a career in data analytics. Degree seekers can enjoy intensive practicum coursework with strategic business partners, opening a viable network pipeline for career possibilities after graduation.
Why Pursue a M.S. in Data Analytics
Data is the foundation of every industry that utilizes technology. Organizations across the business spectrum are heavily reliant on Big Data and the need for strategic data analysts to interpret it. As Texas takes its place as an influential hub for emerging technology, graduates can enjoy a rewarding career in data analytics and explore paths in healthcare, business, national security, and beyond.
Degree Requirements
For a complete list of degree requirements please see the Graduate Catalog.
Admission Prerequisites:
| Required Degree | A degree of B.A. or B.S. in statistics, mathematics, engineering, computer science, information systems, information technology, or a closely related field is highly recommended. |
| Other Degree Requirements | 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. |
Application Requirements:
| General University Requirements | Must meet university wide requirements. |
| Application | A completed a Graduate School application. |
| Transcripts | Official transcripts from all institutions attended. All international transcripts must be recorded in English or officially translated to English. |
| Resume or Curriculum Vitae | Current resume with employment or other experience |
| Letters of Recommendation | Two letters of reference. |
| Statement of Purpose | A personal statement of academic history and personal goals. |
| Test Scores | GMAT or General GRE, not older than five years. |
| Evaluation of Foreign Credentials |
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 an evaluation of the transcripts from Foreign Credentials Service of America.
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| International Applicants | Must meet international graduate student admission requirements
|
| Other | None. |
Day or Evening Status
- The M.S.D.A. offers both day and evening programs. Students may not switch status once enrolled. Both programs begin in the Fall semester.
Contact Information
Graduate Advisor of Record: Anthony Rios, Ph.D.
Email Address: anthony.rios@utsa.edu
Telephone: 210.458.6303
Degree Website: https://business.utsa.edu/programs/ms-data-analytics/
Degree Catalog: http://catalog.utsa.edu/graduate/business/#degreestext
MSDA-Critical Technology Studies Program Website: https://business.utsa.edu/ctsp
Course Scheduling and Offerings
Full-time Status. The M.S.D.A. is a full-time cohort program offered during the daytime. The program begins in the Fall semester. Students take 12 credit hours in the Fall semester, 12 credit hours in the spring semester, and 6 credit hours of Practicum courses in the summer.
M.S.D.A.. students are required to complete 24 hours of required courses plus 6 hours of required practicum courses.
24 hours of required masters’ level courses
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STA 6443 |
Data Analytic Algorithms I |
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STA 6543 |
Data Analytic Algorithms II |
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DA 6213 |
Data-Driven Decision Making and Design |
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IS 6713 |
Data Foundations |
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DA 6223 |
Data Analytic Tools and Techniques |
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IS 6733 |
Big Data Technology |
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DA 6233 |
Data Analytic Visualization and Communication |
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DA 6813 |
Data Analytic Application Studies |
6 hours of required practicum courses
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DA 6823 |
Data Analytic Practicum I |
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DA 6833 |
Data Analytic Practicum II |
For the Critical Technology Studies Program track, complete the following 9 credits:
Substitute NS 6003 (The Role of U.S. Intelligence in National Security) for DA 6213
Substitute NS 6233 (Analytic Methods, Interpretation, Writing and Briefing of Intelligence) for DA 6823
Complete NS 6723 (Analytical Writing, Reporting and Briefing for the Intelligence Community) or NS 6503 (Intelligence Reasoning and Analysis)