Data Science Foundations
Online at Colorado School of Mines
Data Science Foundations
The foundation of Data Science is built on statistics and computer science. Having a grounding in these two disciplines, along with seeing examples of applications to data analysis, provides the base to learn new methods and build expertise.
The Data Science Foundations post-baccalaureate certificate creates the base on which to build professional skills in data science.
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
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
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- 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
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
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.