Overview

The Statistical Science M.Sc. at George Mason University is designed to equip students with the analytical tools necessary to excel in one of the most established fields of information technology. By bridging the gap between theoretical probability and practical application, the curriculum ensures that graduates can handle complex data structures in various professional environments.

This postgraduate programme offers a comprehensive exploration of statistical methodology, specifically tailored for high-technology applications. Students engage with advanced concepts in data analysis, learning to transform raw datasets into meaningful insights that drive decision-making processes in both the public and private sectors.

To cater to specific career goals, the department provides specialised pathways.

Why Statistical Science at George Mason University?

Studying at this institution provides access to the Long Nguyen and Kimmy Duong School of Computing, a hub for innovation in engineering and technology. The programme is distinguished by its flexibility, offering dual-degree options with Mathematics or Operations Research, allowing students to broaden their expertise across multiple quantitative disciplines.

The department emphasises a balance between academic rigour and practical utility. With facilities dedicated to computing and a faculty focused on high-tech applications, students are immersed in an environment that mirrors the demands of the modern global economy, ensuring they are prepared for the technical challenges of the industry.

Tuition Fee Breakdown

International fee: USD 41124 per year
National fee: USD 41124 per year
Local fee: USD 18060 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of core requirements and specialised electives designed to build a strong foundation in inference and probability. Modules may include:

Applied Probability and Statistical Inference
Applied Statistics
Applied Statistical Learning
Case Studies in Data Analysis
Statistical Inference
Statistical Graphics and Data Visualization
Experimental Design
Principles of Data Management and Mining
Bayesian Artificial Intelligence

Careers with Statistical Science

Graduates are well-prepared for diverse roles in industry and government, particularly in positions requiring expertise in data science and statistical modelling. The programme's focus on high-technology applications makes alumni competitive candidates for roles such as data scientists, statisticians, and analytical consultants.

The Modern Statistics concentration also offers a research-focused thesis track, which is ideal for students intending to pursue a PhD or careers in methodological research. By developing skills in technical reporting and literature synthesis, the programme ensures graduates can contribute to the advancement of statistical practice in various scientific fields.

Programme Structure

Courses included:

Applied Probability

Applied Statistics

Case Studies in Data Analysis

Statistical Inference

Digital Signal Processing

Statistical Communication Theory

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-21 00:00:00
- Apply before 2026-10-15 00:00:00
Starting 2027-08-25 00:00:00
- Apply before 2027-03-15 00:00:00

Language

English

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Credits

30 SCH

Delivered

On Campus

Campus Location

Fairfax, United States

Disciplines

Statistics Data Science & Big Data View 471 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

English requirements

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Other requirements

General requirements

In addition to satisfying general admission requirements for graduate study, all applicants are expected to have basic computer literacy and some experience using statistical software (such as SAS and R). They also must hold a bachelor's degree from an accredited institution in a field that includes coursework in multivariable calculus, matrix or linear algebra, statistics, calculus-based probability, and statistical software.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

41124 USD / year

≈ 41124 USD / year
Out-of-State

41124 USD / year

≈ 41124 USD / year
Domestic

Applies to you

In-State

18060 USD / year

≈ 18060 USD / year

Living costs

Fairfax

United States

1330 - 2300 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Statistical Science.

Available Scholarships

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Fairfax

Financing

Funding

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Scholarships Information

Available Scholarships

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