Overview
The Statistics and Data Science M.Sc. at Yale University offers students a comprehensive foundation in both the theoretical and practical aspects of modern quantitative analysis. This programme is designed to bridge the gap between mathematical theory and real-world application, ensuring graduates are prepared for complex challenges in various industries. Students benefit from an environment that fosters intellectual curiosity and technical excellence.
Why Statistics and Data Science at Yale University?
Studying at this institution provides access to a world-class academic community and cutting-edge research facilities. The department is renowned for its interdisciplinary approach, allowing students to engage with diverse fields such as bioinformatics, genetics, and network science. The curriculum is overseen by leading experts, ensuring that the teaching remains at the forefront of global developments in machine learning and optimization. Students also benefit from the extensive resources of the Graduate School of Arts and Sciences, which supports professional and career development throughout the duration of the programme.
Tuition Fee Breakdown
- International fee: USD 69900 per year
- National fee: USD 69900 per year
- Local fee: USD 69900 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum covers a broad spectrum of quantitative disciplines, ranging from foundational theory to advanced computational methods. Modules may include:
- Statistical Theory
- Probability Theory
- Information Theory
- Bioinformatics and Genetics
- Data Mining and Machine Learning
- Neural Nets
- Network Science
- Optimization
- Statistical Computing
Careers with Statistics and Data Science
Graduates from this programme are highly sought after for their ability to interpret complex datasets and provide actionable insights. The training provided prepares students for successful careers in sectors such as technology, finance, healthcare, and government research. Alumni often secure roles as data scientists, statisticians, and research analysts in prestigious global organisations. The programme's focus on both Bayes theory and graphical models ensures that graduates possess a versatile toolkit applicable to a wide range of professional environments and emerging industries.
Programme Structure
Courses include:
- Stochastic Processes
- Advanced Probability
- Statistical Inference
- Linear Models
- Statistical Case Studies
- Data Analysis
- Practical Work
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- New Haven, United States
Disciplines
Statistics Data Science & Big Data Machine Learning View 308 other Masters in Statistics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- $80 application fee or fee waiver
- Recommendations from two teachers and one counselor
- School Report with transcript
- English proficiency test results - recommended for non-native English-speakers
- Mid-Year Report & Final Report
Tuition Fees
-
International Applies to you
Applies to youNon-residents69900 USD / year≈ 69900 USD / year - Out-of-State69900 USD / year≈ 69900 USD / year
-
Domestic
Applies to youIn-State69900 USD / year≈ 69900 USD / year
Living costs
New Haven
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
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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