Overview
Courses at the undergraduate level are designed to provide students with skills in both traditional statistical methods and cutting edge data analysis techniques. These skills are in high demand in the current job market and prepare students for desirable careers in statistics and data science.
Since statisticians and data scientists are often involved in interdisciplinary work, the Statistics and Data Science program of the University of Colorado at Boulder requires an in-depth knowledge of some area of science, engineering, social science or liberal arts that uses statistics to solve important problems. This knowledge prepares graduates to successfully communicate and collaborate with practitioners in these fields. A capstone course in statistical collaboration provides the opportunity for students to synthesize their previous coursework.
The Department of Applied Math offers a broad range of undergraduate research opportunities funded by a variety of federal agencies. Working with faculty, students interested in statistics and data science have developed solutions to various problems in fluids, dynamical systems, data analysis, probability and statistics, networks, signal processing, math biology, math education and numerics. Students can gain professional exposure through the student chapter of the Society of Industrial and Applied Mathematics (SIAM) on campus.
Outside Area of Emphasis/Application
Students will choose an outside area of emphasis/application to acquire knowledge in a discipline-specific area, where statistical applications are prevalent. Students will take a minimum of 18 credits in a department or certificate program outside of APPM/STAT, including a minimum of 6 credits at the upper-division level. Final course selection will be made in consultation with advisors and faculty from the departments, as well as faculty advisors within the Department of Applied Mathematics.
Programme Structure
Courses include:
- Calculus for Engineers
- Matrix Methods and Applications
- Data Science
- Applied Probability
- Mathematical Statistics
- Applied Regression
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
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Credits
Delivered
Campus Location
- Boulder, United States
Disciplines
Statistics Data Science & Big Data View 461 other Bachelors in Data Science & Big Data 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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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Application
- Application fee ($65 for domestic applicants, $70 for international applicants
- Personal Essay (required, 250–650 words)
- Letter of recommendation
- High school or secondary school transcripts
- In addition to the general admission requirements, all international applicants are required to meet a minimum standard of English proficiency.
Tuition Fees
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International Applies to you
Applies to youNon-residents50356 USD / year≈ 50356 USD / year - Out-of-State48378 USD / year≈ 48378 USD / year
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Domestic
Applies to youIn-State18542 USD / year≈ 18542 USD / year
Living costs
Boulder
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 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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