Data Science – Statistical Learning
Online at Colorado School of Mines
Data Science – Statistical Learning Graduate Certificate
Data Science is about solving problems and making decisions with data. Statistics provides a foundation for extrapolating from features in data to more general patterns and quantifying the uncertainty in the conclusions one draws.
The graduate certificate in Statistical Learning builds understanding and skills in core data science tools and how to assess their strengths and weaknesses.
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
- Students with strong records can be admitted provisional and can start the certificate once these requirements are completed
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
| 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.
Admissions Deadlines
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Investment You Can Count On
33%
projected job growth for mathematicians and statisticians, 2020-2030
#4
best value college in the U.S. (#1 in Colorado), Payscale.com, 2021
#1
career return on investment,
research universities,
U.S. Department of Education
Data Science Faculty
Soutir Bandyopadhyay
Rank - Associate Professor
Department - Applied Mathematics and Statistics
Email - sbandyopadhyay@mines.edu
Phone - 303-273-3677
H. Sebnem Duzgun
Rank - Professor and Fred Banfield Distinguished Endowed Chair
Department - Mining Engineering
Email - duzgun@mines.edu
Phone - 303-384-2357
Wendy Fisher
Rank - Associate Department Head and Teaching Associate Professor
Email - wfisher@mines.edu
Phone - 303-273-3195
Dorit Hammerling
Rank - Associate Professor
Department - Applied Mathematics and Statistics
Email - hammerling@mines.edu
Phone - 303-384-2272
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
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Value in Action
The annual salary survey consistently demonstrates the value of a Mines degree.