Data Science – Earth Resources

Online at Colorado School of Mines

Data Science – Earth Resources Graduate Certificate

Digitalization has profoundly affected all facets of geoscience, including extractive industries (e..g, oil and gas, minerals, water resources), remote sensing of Earth change, environmental monitoring and remediation and geological engineering.

More data is available for detailed analysis to improve decision-making and influence policy at all levels, and changing commodity prices have added to the need to improve the efficiency of operations in order to drive more effective and responsible development of Earth resources.

The Data Science Earth Resources graduate certificate introduces the fundamentals of data science (using Python) as it pertains to characterization, extraction and sustainable development of surface and subsurface Earth resources. This program will allow you to become a more efficient and innovative scientist who can organize, analyze, and visualize earth-resource data as well as automate repetitive tasks, implement machine-learning models and create web-scraping algorithms.

Certificate Requirements

  • Bachelor’s Degree: Required
  • GRE: Not Required
  • Letters of Recommendation: Not Required
  • 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).
  • For international applicants or applicants whose native language is not English, please review the English Proficiency requirement

For additional information about these admissions requirements, please refer to the Admissions Requirements page

Tuition

View Annual Cost of Attendance
  • Employer contributions are routinely applied to cover a portion of this cost.
  • Serious about a Mines program? Let Financial Aid help you consider payment options, identify employer contributions and more. We’re here to help.

Fees

  • Fees for students enrolled in Mines Online programs or courses are included in the cost of tuition.

More information about tuition and fees.

Admissions Deadlines

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Investment You Can Count On

7%

projected job growth for geoscientists, 2020-2030

$93,580

median annual wage for geoscientists, 2020

#1

career return on investment,
research universities,
U.S. Department of Education

Data Science Faculty

Soutir Bandyopadhyay

Soutir Bandyopadhyay

Rank - Associate Professor

Department - Applied Mathematics and Statistics

Email - sbandyopadhyay@mines.edu

Phone - 303-273-3677

H. Sebnem Duzgun

H. Sebnem Duzgun

Rank - Professor and Fred Banfield Distinguished Endowed Chair

Department - Mining Engineering

Email - duzgun@mines.edu

Phone - 303-384-2357

Wendy Fisher

Wendy Fisher

Rank - Associate Department Head and Teaching Associate Professor

Email - wfisher@mines.edu

Phone - 303-273-3195

Dorit Hammerling

Dorit Hammerling

Rank - Associate Professor

Department - Applied Mathematics and Statistics

Email - hammerling@mines.edu

Phone - 303-384-2272

Zane R. Jobe

Zane R. Jobe

Rank - Research Professor

Email - zanejobe@mines.edu

Phone - 303-273-3601

Doug Nychka

Doug Nychka

Rank - Professor

Email - nychka@mines.edu

Phone - 303-384-2328

Paul Sava

Paul Sava

Rank - Department Head and Professor of Geophysics and C.H. Green Chair of Exploration Geophysics

Department - Geophysics

Email - psava@mines.edu

Phone - 303-384-2362

Michael Wakin

Michael Wakin

Rank - Professor

Email - mwakin@mines.edu

Phone - 303-273-3607

Hua Wang

Hua Wang

Rank - Associate Professor

Email - huawang@mines.edu

Phone - 303-384-2326

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Value in Action

The annual salary survey consistently demonstrates the value  of a Mines degree.