Data Science (MS) - Uni4edu

Data Science (MS)

Main Campus, Tucson, United States

32065 $ / years

Master's & Postgraduate24 months
University of Arizona campus in Tucson with red brick buildings, palm trees, desert mountain backdrop, students walking through sunny courtyard, clear blue sky
Master

Master of Science in Data Science

University of Arizona

Data Science

Duration18 Months
LanguageEnglish
FormatFull-time
Credits30 Units

Master of Science in Data Science at the University of Arizona

The MS in Data Science (MSDS) at the University of Arizona is a STEM-designated graduate program offered through the College of Information Science. This transdisciplinary degree provides comprehensive training in data collection, exploration, manipulation, storage, analysis, and presentation, preparing you to excel in data-rich workplace environments.

The program requires 30 units and can typically be completed in 18 months for full-time students. It is offered both on the main campus in Tucson, Arizona, and fully online through Arizona Online, giving you flexibility in how you pursue your degree.

Students take core courses in data mining and discovery, data analysis and visualization, and data ethics, while choosing from a wide array of dynamic electives. An internship or capstone project is required, ensuring you graduate with both theoretical knowledge and practical, hands-on experience ready for the data-driven economy.

Key Program Highlights

  • STEM-designated program qualifying graduates for extended OPT work authorization in the United States
  • Flexible delivery with both on-campus and fully online options available
  • Stackable graduate certificates in Foundations of Data Science and Natural Language Processing can be earned concurrently
  • Required capstone project or internship provides real-world professional experience before graduation

Curriculum and Course Modules

The MSDS curriculum blends core courses with a flexible selection of electives, allowing you to tailor your studies to your career goals. Students complete four required core courses, elective coursework, and a capstone or internship experience totaling 30 units.

Foundations of Data Science

3 Units

Covers fundamental aspects of data science including Python programming, data collection, cleaning, visualization, statistics, and mathematics such as linear algebra and calculus. This course establishes the foundation for advanced data-intensive classes.

Data Mining and Discovery

3 Units

Introduces concepts and techniques of data mining for knowledge discovery, including methods from statistics, machine learning, pattern recognition, and artificial intelligence for analyzing large quantities of data.

Data Analysis and Visualization

3 Units

Focuses on skills for analyzing different types of data at various scales and communicating results using appropriate visualizations, multimedia, and presentation techniques to interdisciplinary teams.

Data Ethics

3 Units

Explores ethical challenges stemming from data-driven decision making, covering topics such as bias, fairness, privacy, surveillance, discrimination, and global policy and governing protocols around data use.

Capstone Project or Internship

3 Units

Students complete either a capstone project showcasing mastery of program competencies through a structured project plan, or a professional internship applying knowledge in a real-world corporate, institutional, or nonprofit setting.

Elective Coursework

15 Units

Students select elective courses from INFO coursework or approved courses in other departments. Electives can be aligned with specialty areas and may count toward optional stackable graduate certificates.

Popular Elective Specializations

Neural Networks and Artificial Intelligence Natural Language Processing and Computational Linguistics Machine Learning and Data Warehousing Cyberinfrastructure and Database Development

Admission Requirements

Admission to the MS in Data Science is based on an evaluation of your potential to become a qualified data science professional or effective researcher. The program welcomes applicants from a variety of backgrounds, including sciences, engineering, social sciences, and arts and humanities.

Academic Requirements

  • Degree RequirementA bachelor's degree from an accredited college or university recognized by the University of Arizona
  • Quantitative BackgroundAcademic coursework or professional experience demonstrating strong quantitative and analytical reasoning abilities
  • Programming ExperienceCoursework or experience with programming, data structures, analysis of algorithms, and linear algebra
  • CalculusCoursework in calculus is encouraged but not required
  • GRE ScoreNot required; may be submitted optionally

English Language Requirements

  • TOEFLContact Uni4Edu for current minimum score requirements
  • IELTSContact Uni4Edu for current minimum score requirements
  • PTE AcademicContact Uni4Edu for current minimum score requirements

Required Documents

Official academic transcripts from all post-secondary institutions attended Current resume or curriculum vitae (CV) Letters of recommendation Statement of purpose or personal statement Diploma or degree certificates (if degree is not posted on transcript)

Application Deadlines

September 1 With Funding Consideration
November 16 Without Funding Consideration / International Online
General Admission

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

The University of Arizona offers several funding opportunities for graduate students, including merit-based scholarships, departmental assistantships, and fellowships. International students are encouraged to explore all available options through Uni4Edu to maximize their financial support.

Graduate Assistantships

Varies by department

Departmentally based positions where graduate students receive a stipend, tuition remission, and health insurance in exchange for teaching, research, or administrative work within their academic unit.

Merit-Based Graduate Scholarships

Varies based on academic achievement

Monetary awards or tuition waivers offered to students based on outstanding academic achievements, extracurricular activities, and professional experience. These are awarded on a competitive basis.

Graduate College Fellowships

Varies by fellowship

Fellowships and grants offered by academic units or third-party organizations that help subsidize the cost of education. These may include monetary awards or tuition waivers for qualified candidates.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects for Data Science Graduates

Graduates of the MS in Data Science program are well-prepared for a wide variety of in-demand positions across industries. With a STEM designation enhancing post-graduation work opportunities in the United States, the program equips you with the analytical, technical, and communication skills employers seek in the rapidly growing data science field.

USD 110,000 Median Annual Salary for Data Science Master's Graduates
18 Months Typical Time to Degree Completion
36 Months OPT Extension for STEM-Designated Programs

Potential Career Roles

Data Scientist Data Engineer Machine Learning Engineer Data Analyst Business Intelligence Developer Data Visualization Designer

Industries and Employers Hiring Data Science Graduates

Amazon Google Microsoft U.S. Food and Drug Administration (FDA) Raytheon Technologies Major Healthcare and Financial Services Organizations

Rankings and Recognition

The University of Arizona is a member of the prestigious Association of American Universities (AAU), a collective of leading research universities in the United States and Canada. It consistently ranks among the top public research universities nationally and globally across multiple ranking systems.

QS World University Rankings
#287
2026
THE World University Rankings
#136
2025
U.S. News Best Global Universities
#115
2025
CWUR World Rankings
#69
2025
SubjectRanking BodyRank
Computer ScienceU.S. News & World Report#235
Space ScienceU.S. News & World Report#10
Graduate ProgramsU.S. News Best Graduate SchoolsNationally Recognized
Business AnalyticsQS World Rankings#46

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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