Overview
Why Data Science - Earth Resources at Colorado School of Mines?Colorado School of Mines is renowned for its exceptional return on investment and is ranked as the top public university in Colorado. The institution boasts strong partnerships with industry leaders and is equipped with advanced facilities that enhance the educational experience. The Data Science - Earth Resources programme is specifically tailored to address the growing demand for data-driven decision-making in geosciences and extractive industries.
Tuition Fee BreakdownThe tuition fees for the Data Science - Earth Resources programme are 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 for the Data Science - Earth Resources programme is structured to provide a solid foundation in data science principles, with a focus on applications in geoscience. The programme follows a unique 3 X 3 + 1 design, which includes:
- Data Modelling and Statistical Learning
- Machine Learning, Data Processing, and Algorithms
- Individualised and Domain-Specific Coursework
- Mini-module of Professional Development Courses
Students are encouraged to have a background in probability and mathematical foundations, with recommended courses including Linear Algebra and Introduction to Probability.
Industry DemandThe field of data science is experiencing significant growth, particularly within the geosciences and extractive industries. With an increasing reliance on data for decision-making, professionals equipped with data science skills are in high demand across various sectors, including environmental monitoring, oil and gas, and minerals extraction.
Guaranteed Work ExperienceThis programme includes built-in opportunities for practical experience, allowing students to apply their knowledge in real-world settings. This hands-on approach ensures that graduates are well-prepared for the workforce upon completion of their studies.
Careers with Data Science - Earth ResourcesGraduates of the Data Science - Earth Resources programme can pursue a diverse range of careers. Alumni have found positions in leading companies across various industries, including:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Environmental Data Consultant
- Geospatial Analyst
The skills acquired through this programme enable graduates to effectively analyse and interpret complex data sets, making them valuable assets in their respective fields.
Programme Structure
Courses include:
- Data Science
- Earth Resource Data Science: Fundamentals
- Earth Resource Data Science: Applications and Machine-learning
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
Earth Sciences 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)
- 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
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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 Data Science - Earth Resources.
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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