Programs
Doctoral Degree Programs
Physics (Ph.D.)
Master's Degree
choose a program
Graduate Certificate Programs
choose a program
Downtown Campus Programs
choose a program
Integrated Programs
choose a program

contact us

Location:

Multidisciplinary Studies Building (MS)

MS 4.01.76

Office Hours:

Monday - Friday

8 A.M. - 5 P.M.

Contact US:

Phone: (210) 458-4331

Fax: (210) 458-4332

Graduate Admissions Questions
Email:   GraduateAdmissions@utsa.edu

To Submit Electronic Documents:
Email:  graduate.documents@utsa.edu

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 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 Optional
 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 (Domestic), or permanent residents who have earned university-level credit from foreign institutions are required to submit an evaluation from an approved Foreign Credential Agency of transcripts from all foreign institutions attended. If official transcripts are used in the foreign credential evaluation, the official transcript requirement will be considered met. However, if unofficial documents are used in the foreign credential evaluation, final official transcripts must be sent to UTSA.
  • An approved evaluation requires a detailed course-by-course evaluation. Summaries will not be accepted.
  • The Foreign Credentials Service of America (FCSA) is a private corporation that provides evaluations of foreign school credentials. The application is available at: Application for Credentials Evaluation.
 International Applicants Must meet international graduate student admission requirements
  • IELTS: Minimum score of 6.5.
  • TOEFL: Minimum scores of 79 or 60 for Internet or paper versions, respectively.
 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: Ashwin Malshe, Ph.D.

Email Address: ashwin.malshe@utsa.edu

Telephone: 210.458.5239

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

STA 6443

Data Analytic Algorithms I

STA 6543

Data Analytic Algorithms II

DA 6213

Data-Driven Decision Making and Design

IS 6713

Data Foundations

DA 6223

Data Analytic Tools and Techniques

IS 6733

Big Data Technology

DA 6233

Data Analytic Visualization and Communication

DA 6813

Data Analytic Application Studies

6 hours of required practicum courses

DA 6823

Data Analytic Practicum I

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)