Overview
The B.Sc. in Statistics at Carnegie Mellon University provides a comprehensive foundation in the science of extracting insights from complex data and making decisions in the face of randomness. This world-renowned programme integrates rigorous mathematical theory with practical computational techniques to address critical issues in medicine, finance, technology, and public policy. Students are trained to become versatile collaborators capable of interpreting and communicating analysis results across diverse professional fields.
Why Statistics at Carnegie Mellon University?
The Department of Statistics and Data Science is globally recognised for its pioneering contributions to statistical theory and practice. Research within the department spans from pure mathematics to cutting-edge frontiers in neuroscience, cosmology, and genetics. Students benefit from a friendly, energetic environment where faculty members, including COPSS medal winners, are deeply committed to undergraduate teaching and involving students in high-level research projects.
Tuition Fee Breakdown
- International fee: USD 67020 per year
- National fee: USD 67020 per year
- Local fee: USD 67020 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Reasoning with Data
- Methods for Statistics & Data Science
- Probability and Statistical Inference
- Statistical Computing
- Modern Regression
- Advanced Methods for Data Analysis
- Probability Modeling
- Experimental Design for Behavioral & Social Sciences
- Statistical Graphics and Visualization
Careers with Statistics
Graduates from this programme are highly sought after by leading global organisations due to their technical proficiency and collaborative skills. Recent alumni have secured positions at prestigious firms such as Goldman Sachs, Google, Deloitte, Boeing, and Morgan Stanley. Others have pursued research roles at the U.S. Census Bureau or the National Security Agency. Furthermore, many students progress to elite graduate programmes at institutions including Harvard, MIT, Stanford, and Yale.
Programme Structure
Courses Include:
- Statistical Methods in Epidemiology
- Methods of Statistical Learning
- Multilevel and Hierarchical Models
- Psychometrics: A Statistical Modeling Approach
- Statistical Methods in Finance
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Statistics View 395 other Bachelors 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
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Common Application
- $75 Application Fee
- Official High School Transcript
- Standardized Testing Scores
- Secondary School Counselor Evaluation
- Teacher Recommendation
- Common Application Essay
- Common Application Writing Supplement
Tuition Fees
-
International Applies to you
Applies to youNon-residents67020 USD / year≈ 67020 USD / year - Out-of-State67020 USD / year≈ 67020 USD / year
-
Domestic
Applies to youIn-State67020 USD / year≈ 67020 USD / year
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Statistics.
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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