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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

Data Analytics (M.S.)

Basic Degree Information/Description

This program will help students understand and properly employ data analytic algorithms used in the field, while providing students the skills needed to acquire, extract, transform, load, process, analyze, exploit, visualize, and communicate vast quantities and types of data.  The program will enable graduates to transform data into relevant information that leads to knowledge and better decision making.

Critical Technology Studies Program (CTSP) Track

Students pursuing an M.S. in Data Analytics now have the option of taking additional national security courses in to better prepare them for a career in the intelligence community and earn an M.S. in Data Analytics – Critical Technology Studies Program track. For a complete list of degree requirements for this track, please see the Critical Technology Studies Program website. In addition to the M.S. in Data Analytics application requirements, applicants to this track will also require a statement of interest and an interview. To apply for this track, please complete the M.S. in Data Analytics application, which allows you to denote your interest in the Critical Technology Studies Program. For more information, please visit the Critical Technology Studies Program websiteor email ctsp@utsa.edu.

Why UTSA for an MS in Business?

This new program is designed to produce highly skilled and educated data scientists with broad knowledge in quantitative analysis and practical experience in targeted application areas such as cyber security, data science management, statistical analysis, life science and healthcare management, and more general business analytics. There is a large demand for these skills, and salaries are high.

Degree Requirements

For a complete list of degree requirements please see the Graduate Catalog.

Admission Requirements and Deadlines

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: A degree seeking applicant must meet university wide requirements.
  • Application: A complete 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: A current resume with employment or other experience.
  • Letters of Recommendation: Letters of reference are optional.
  • Statement of Purpose: A personal statement of academic history and personal goals.
  • Test Scores: GMAT or GRE, not older than five years.
  • Other: None.
  • 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:

    • IELTS: Minimum score of 6.5.
    • TOEFL: Minimum scores of 79 or 60 for Internet or paper versions, respectively.

    Additional Requirements: A degree seeking applicant must meet international graduate student admission requirements.

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: Max Kilger, Ph.D.

Email Address: Max.Kilger@utsa.edu

Telephone: 954.242.7484

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)