Statistics & Data Science MS - Uni4edu

Statistics & Data Science MS

Courses at University Of Nevada, Reno Campus, United States

27000 $ / years

Master's & Postgraduate24 months
University of Nevada Reno campus with the Mathewson-IGT Knowledge Center and green quad, Sierra Nevada mountains visible in the background under a clear blue sky, students walking along tree-lined pathways
Master

Master of Science in Statistics & Data Science

University of Nevada, Reno

Statistics & Data Science

Duration2 Years
LanguageEnglish
FormatFull-time
Credits30-32 Credits

Program Overview: MS in Statistics & Data Science at UNR

The Master of Science in Statistics and Data Science at the University of Nevada, Reno is offered by the Department of Mathematics and Statistics. The program provides rigorous training in fundamental and applied methods of modern statistics, combined with practical computational skills in data science that prepare graduates for careers in academia, government, and industry.

Students benefit from a dynamic group of over 25 award-winning graduate faculty with diverse expertise spanning pure and applied mathematics, probability, statistics, and data science. The program emphasizes interdisciplinary collaborative research and communication skills essential for today's data-driven job market.

Located where the Sierra Nevada mountains meet the Great Basin and just 45 minutes from Lake Tahoe, UNR offers an excellent living environment with year-round outdoor activities, short commutes, and a growing arts community. The program is part of the Western Regional Graduate Program (WRGP), which offers reduced tuition rates for eligible out-of-state students.

Key Program Highlights

  • Flexible degree completion through either a Thesis Plan or a Comprehensive Exam (Non-Thesis) Plan
  • Teaching and research assistantships available with stipend, tuition waiver, and subsidized medical plan
  • Interdisciplinary research opportunities with faculty collaborating locally and at institutions across the US and internationally
  • Strong emphasis on modern computational methods including machine learning, statistical learning, and applied regression analysis

Curriculum & Core Modules

The MS in Statistics and Data Science curriculum is structured around six required core courses that provide a solid foundation in statistical theory, computing, and data analysis. Students then choose elective and thesis or comprehensive exam credits depending on their selected degree plan, for a total of 30 credits (Thesis Plan) or 32 credits (Non-Thesis Plan).

STAT 645 - Introduction to Statistical Computing

3 Credits

Covers essential computational tools and programming techniques used in modern statistical analysis, including data manipulation, visualization, and simulation methods. Offered every fall semester.

STAT 661 - A First Course in Probability

3 Credits

Provides a rigorous foundation in probability theory, including random variables, distributions, expectation, and limit theorems essential for advanced statistical methods. Offered every semester.

STAT 667 - Statistical Theory

3 Credits

Develops core knowledge in the principles of statistical inference, estimation, hypothesis testing, and the theoretical underpinnings of modern statistical practice. Offered every semester.

STAT 755 - Multivariate Data Analysis

3 Credits

Explores methods for analyzing data involving multiple variables simultaneously, including principal component analysis, factor analysis, clustering, and classification techniques. Offered every spring semester.

STAT 757 - Applied Regression Analysis

3 Credits

Focuses on the theory and application of linear and nonlinear regression models, model diagnostics, variable selection, and practical data analysis using regression methods. Offered every fall semester.

STAT 760 - Statistical Learning

3 Credits

Introduces modern statistical learning and machine learning techniques, including supervised and unsupervised methods, cross-validation, regularization, and ensemble methods. Offered every spring semester.

Elective Courses & Specialization Options

Data Mining and Knowledge Discovery Bayesian Statistics Time Series Analysis Big Data Analytics and Computational Statistics

Admission Requirements

Admission to the MS in Statistics and Data Science program at UNR is competitive and based on academic background, test scores, and demonstrated potential for graduate study. All applications and inquiries are processed through Uni4Edu, your single point of contact for a streamlined admissions experience.

Academic Requirements

  • Bachelor's DegreeA bachelor's degree or recognized equivalent from a regionally accredited institution is required
  • Minimum GPAMinimum undergraduate GPA of 2.75 on a 4.0 scale
  • GRE ScoresRecommended but not required; scores must be from within the past 5 years if submitted
  • Mathematical BackgroundStrong foundation in mathematics, including calculus, linear algebra, and introductory statistics recommended
  • Three-Year DegreesEligibility for applicants with a three-year bachelor's degree is determined on a case-by-case basis

English Language Requirements

  • TOEFLMinimum 79 (iBT/Home Edition) or 8.5 (Essentials) for tests taken prior to January 21, 2026
  • IELTSMinimum score accepted; contact Uni4Edu for current program-specific requirements
  • Other Accepted TestsDuolingo, Pearson (PTE), and Cambridge English exams are also accepted; scores must be within the past 2 years

Required Documents

Official undergraduate and graduate transcripts from all previous institutions Official English language proficiency test scores (for international students) Three letters of recommendation Statement of purpose GRE scores (recommended but not required)

Application Deadlines

February 1 Fall Semester - Priority Deadline
March 1 Fall Semester - Final Deadline
October 1 Spring Semester - Priority Deadline

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

Scholarships & Funding

The University of Nevada, Reno offers a variety of funding opportunities for graduate students in the Statistics and Data Science program. Approximately 80% of international graduate students receive graduate assistantships from academic departments, making advanced study financially accessible.

Graduate Teaching & Research Assistantships

Stipend plus tuition waiver and subsidized medical plan

Qualified students accepted to the program may receive teaching or research assistantships that include a monthly stipend, full tuition waiver, and a subsidized health insurance plan. Students must be enrolled in at least 6 graduate-level credits.

Graduate Dean Fellowships

The Graduate School awards competitive fellowships each year to outstanding master's and doctoral students who demonstrate the potential to make substantive contributions to their discipline. These fellowships provide additional financial support beyond assistantships.

Western Regional Graduate Program (WRGP)

In-state tuition rates for eligible students

A tuition-savings program among 16 participating western states that allows eligible residents to pay reduced in-state tuition rates when attending select graduate programs, making out-of-state study significantly 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 high-demand careers across multiple industries. The program's emphasis on both theoretical foundations and practical computational skills positions alumni to succeed in data-driven roles in healthcare, finance, technology, government, and academia.

80%+ Graduate students receiving assistantships
6 Core courses in statistics and data science
25+ Graduate faculty members in the department

Potential Career Roles

Data Scientist Statistician Data Analyst Research Scientist Machine Learning Engineer Biostatistician

Industries & Employers Hiring Graduates

Technology companies (Google, Amazon, Apple) Financial services and banking institutions Healthcare and pharmaceutical organizations Federal and state government agencies Research universities and national laboratories Consulting firms and analytics companies

Rankings & Recognition

The University of Nevada, Reno is a well-established public research university recognized by multiple global and national ranking bodies. Founded in 1874, UNR is the flagship institution of the Nevada System of Higher Education and is noted for its very high research activity, particularly in engineering, sciences, and journalism.

QS World University Rankings
#1001-1200
2026
US News National Universities
#204
2025
US News Best Global Universities
#809
2025
ARWU (Shanghai Ranking)
#501-600
2025
SubjectRanking BodyRank
MathematicsARWUTop 500 globally
EngineeringUS NewsTop national programs
SciencesARWU#401-500
Overall Research OutputCWUR#706

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

+90 5435286292
+44 7868736984
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