Statistics & Data Science MS
University Of Nevada, Reno, United States
Master of Science in Statistics and Data Science
University of Nevada, Reno
Statistics & Data Science
Program Overview: MS in Statistics & Data Science
The Master of Science in Statistics and Data Science at the University of Nevada, Reno (UNR) is offered by the Department of Mathematics and Statistics. It provides rigorous training in fundamental and applied methods of modern statistics, combined with practical computational skills in data science.
The program emphasizes interdisciplinary collaborative research and builds the analytical and computational skills needed to compete in academic, government, and business environments. Students benefit from a department home to over 25 award-winning graduate faculty with diverse expertise in probability, statistics, and data science.
Students may choose between a Thesis Plan (30 credits) or a Non-Thesis Comprehensive Exam Plan (32 credits), allowing flexibility to tailor the degree to individual career goals. The university's location in Reno, near Lake Tahoe and the Sierra Nevada Mountains, offers an outstanding quality of life alongside strong academic opportunities.
Key Program Highlights
- Two flexible degree paths: Thesis Plan or Comprehensive Exam (Non-Thesis) Plan
- Teaching and research assistantships available with stipend, tuition waiver, and subsidized medical plan
- Part of the Western Regional Graduate Program (WRGP) offering reduced tuition for qualifying out-of-state students
- Interdisciplinary research opportunities with faculty engaged in cutting-edge probability, statistics, and data science
Curriculum & Core Modules
The MS in Statistics and Data Science curriculum includes six required core courses that establish a strong foundation in statistical computing, probability theory, and applied data analysis. Students then complete elective and thesis or exam credits depending on their chosen degree plan.
STAT 645 - Introduction to Statistical Computing
3 creditsCovers modern computational methods used in statistics and data science, including programming techniques for data manipulation, simulation, and visualization.
STAT 661 - A First Course in Probability
3 creditsProvides a rigorous introduction to probability theory, covering random variables, distributions, expectation, and limit theorems essential for advanced statistical study.
STAT 667 - Statistical Theory
3 creditsExplores the theoretical foundations of statistical inference, including estimation methods, hypothesis testing, maximum likelihood, and Bayesian estimation.
STAT 755 - Multivariate Data Analysis
3 creditsFocuses on methods for analyzing multivariate datasets, including principal component analysis, factor analysis, clustering, and classification techniques.
STAT 757 - Applied Regression Analysis
3 creditsCovers linear and nonlinear regression models, model diagnostics, variable selection, and practical applications of regression methods to real-world data problems.
STAT 760 - Statistical Learning
3 creditsIntroduces modern statistical learning techniques including supervised and unsupervised methods, cross-validation, regularization, and tree-based models for predictive analytics.
Elective Courses
Admission Requirements
Admission to the MS in Statistics and Data Science program is competitive and evaluated holistically. Applicants should demonstrate strong quantitative skills and a solid academic background. All applications are processed through Uni4Edu, your single point of contact for guidance and submission.
Academic Requirements
- Degree RequirementBachelor's degree or recognized equivalent from an accredited institution
- Minimum GPA2.75 on a 4.0 scale (or equivalent)
- GRE ScoresGRE General Test scores may be required; contact Uni4Edu for current policy
- Prerequisite KnowledgeStrong background in mathematics, including calculus and linear algebra, is recommended
- Three-Year DegreesEligibility for applicants with a three-year bachelor's degree is determined on a case-by-case basis
English Language Requirements
- TOEFL (iBT)Minimum 79
- IELTSMinimum 6.5
- Duolingo / PTEAccepted; contact Uni4Edu for minimum score details
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
The University of Nevada, Reno offers several funding opportunities for qualified graduate students in the Statistics and Data Science program. Teaching and research assistantships are the primary form of financial support, and additional department and university-wide scholarships may be available.
Graduate Teaching Assistantship (TA)
Stipend + tuition waiver + subsidized medical planQualified students accepted with a teaching assistantship receive a competitive stipend, full tuition waiver, and a subsidized medical plan. TAs support undergraduate instruction in the Department of Mathematics and Statistics.
Graduate Research Assistantship (RA)
Stipend + tuition waiverResearch assistantships are available through funded faculty research projects. RAs work alongside faculty on cutting-edge research in probability, statistics, and data science while receiving financial support.
Western Regional Graduate Program (WRGP)
Reduced tuition rates for eligible studentsThe program is part of the WRGP, which offers reduced tuition rates for out-of-state students from participating western U.S. states, making graduate education more affordable.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MS in Statistics and Data Science program are well-prepared for diverse career paths across multiple industries. The program's emphasis on both theoretical foundations and applied computational skills positions alumni to tackle complex data-driven challenges in healthcare, finance, technology, and government sectors.
Potential Career Roles
Industries & Employers Hiring Graduates
Rankings & Recognition
The University of Nevada, Reno is a Carnegie R1 doctoral research university and Nevada's flagship public institution. It has earned consistent recognition in national and global university rankings for its research activity and academic quality.
| Subject | Ranking Body | Rank |
|---|---|---|
| Mathematics & Statistics | U.S. News | Contact Uni4Edu for current data |
| Computer Science | Niche | #151 |
| Engineering | Niche | #127 |
| Best Colleges in Nevada | Niche | #1 |
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.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
Similar Programmes
Master's & Postgraduate
12 months
Data Science and its Applications (Medway), MSc
University of Greenwich, London, United Kingdom
Earliest Intake
September 2026
Gross Tuition
18150 £
Bachelor's Degree
36 months
Data Science\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Bachelor's Degree
48 months
Data Science with a Year in Industry\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Master's & Postgraduate
12 months
Business Data Analytics
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Master's & Postgraduate
12 months
Advanced Data Science
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Uni4Edu AI Assistant
