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