Overview
The Data Science Foundations programme at Colorado School of Mines is structured to meet the growing demand for data professionals in various sectors, including technology, healthcare, and finance. As a top-ranked institution, Mines offers a robust academic environment supported by cutting-edge facilities and resources. The programme focuses on providing students with a solid grounding in both statistics and computer science, enabling them to leverage these skills in practical applications.
Why Data Science Foundations at Colorado School of Mines?Colorado School of Mines is recognised as the best public university in Colorado, known for its excellent return on investment. The university's commitment to innovation and research ensures that students receive a high-quality education that is relevant to today's job market. With a projected job growth of 33% for mathematicians and statisticians from 2020 to 2030, the programme is perfectly positioned to prepare graduates for lucrative careers in data science.
Tuition Fee BreakdownThe tuition fee for the Data Science Foundations programme is USD 20,628 per year for both domestic and international students. This fee structure reflects the university's commitment to providing accessible education while maintaining high academic standards. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed around a 3 X 3 + 1 structure, comprising three modules, each containing three 3-credit courses focused on different aspects of data science:
- Data Modelling and Statistical Learning
- Machine Learning, Data Processing, and Algorithms
- Individualised and Domain-Specific Coursework
Additionally, students will complete a mini-module consisting of three 1-credit professional development courses, ensuring they are well-prepared for the workforce.
Careers with Data Science FoundationsGraduates of the Data Science Foundations programme are equipped to pursue various roles in the data science field. Alumni have found success as Data Scientists, Machine Learning Engineers, and Data Analysts, among other positions. The diverse skill set gained through this programme allows graduates to work across multiple industries, including technology, finance, healthcare, and academia, thereby enhancing their employability in a competitive job market.
Programme Structure
Courses include:
- Data Science
- Machine Learning
- Statistical Methods
- Key Statistical Learning Methods
Key information
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , International
- Apply before , National
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Golden, United States
Disciplines
Data Science & Big Data View 194 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
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
- Bachelor’s Degree
- Resume or Curriculum Vitae (CV): Required
- Statement of Purpose: Not Required. Suggested if GPA is less than 3.0/4.0
- Transcript(s): Required. Must be submitted for all schools attended (unofficial transcripts accepted for admissions review and must show successful completion of any required prerequisite course(s).
Prerequisite Courses
- Programming and Data Structures (CSCI 261-262)
- Linear Algebra (MATH 332)
- Probability (MATH 334) or equivalent courses at another institution and earning a B grade or higher
Tuition Fees
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International Applies to you
Applies to youNon-residents42840 USD / year≈ 42840 USD / year - Out-of-State42840 USD / year≈ 42840 USD / year
-
Domestic
Applies to youIn-State19692 USD / year≈ 19692 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Date Science Foundations.
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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