Overview
The realm of Data Science is rapidly evolving, becoming integral to various sectors including healthcare, finance, and technology. The Master of Science in Data Science - Statistical Learning at Colorado School of Mines provides a comprehensive education that merges statistical theory with practical applications in data analysis. This non-thesis programme is tailored for professionals and graduates eager to delve into the intricacies of data science and its applications in real-world scenarios.
Why Data Science - Statistical Learning at Colorado School of Mines?Colorado School of Mines is renowned for its commitment to excellence in education and research. The university consistently ranks as one of the top public institutions in Colorado, offering exceptional return on investment for its graduates. The Data Science programme is supported by strong industry partnerships, providing students with access to cutting-edge facilities and resources, ensuring they are well-prepared to meet the demands of the workforce.
Tuition Fee BreakdownThe tuition fees for the Data Science - Statistical Learning programme are structured as follows:
- International Students: USD 42,840 per year
- Domestic Students: USD 42,840 per year
- Local Students: USD 19,692 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to equip students with essential skills in data science through a structured approach. The programme follows a 3 X 3 + 1 design, comprising:
- Data Modelling and Statistical Learning
- Machine Learning, Data Processing, and Algorithms
- Individualised and Domain-Specific Coursework
- Professional Development Mini-Module (three 1-credit courses)
Students are encouraged to have a solid grounding in probability and mathematics to thrive in this programme, with recommended prerequisites including Linear Algebra and Introduction to Probability.
Careers with Data Science - Statistical LearningThe Data Science - Statistical Learning programme opens a plethora of career opportunities for graduates. Alumni have successfully secured positions in various industries, including:
- Algorithm Engineer
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Developer
- Quantitative Analyst
Graduates are well-equipped to tackle complex data challenges and contribute to data-driven decision-making processes across diverse sectors.
Programme Structure
Courses include:
- Data Science
- Statistical Methods
- Key Statistical Learning Methods
Key information
Start dates & application deadlines
- Starting
- Apply before , National
-
- Starting
- Apply before , International
- Apply before , National
-
- Starting
- Apply before , International
-
Language
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
Credits
Delivered
Campus Location
- Golden, United States
Disciplines
Statistics Data Science & Big Data View 53 other Masters in Statistics 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)
- 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).
Tuition Fees
-
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
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Date Science - Statistical Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility