Data Science – Statistical Learning

Online at Colorado School of Mines

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 Statistical Learning certificate builds understanding and skills in core data science tools and how to assess their strengths and weaknesses.

Certificate Requirements

Graduate Certificate in Data Science – Statistical Learning

  • A completed bachelor’s degree in a relevant field from an accredited institution
  • Three letters of recommendation
  • Personal statement how this certificate fits into professional development and career goals
  • Transcripts
  • Require previous courses in linear algebra, probability and programming at the undergraduate level
  • Students with strong records can be admitted provisional and can start the certificate once these requirements are completed
  • Statement of goals/purpose: share your professional, academic and personal goals and why you believe Colorado School of Mines is the best place to achieve those goals
  • Resume or Curriculum Vitae (CV)
  • 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

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

Graduate Certificate in Data Science – Statistical Learning

12 credit hours (four 3-credit hour courses)

  • CSCI-303/DSCI403: Introduction to Data Science
  • MATH530/DSCI530: Statistical Methods I
  • MATH560/DSCI560: Statistical Learning I
  • MATH561/DSCI561: Statistical Learning II

Tuition

CREDIT HOURSTOTAL ONLINE TUITION & FEES 2021-22
1.0$1,114
2.0$2,141
3.0$3,168
4.0$4,195
5.0$5,222
6.0$6,249
7.0$7,276
8.0$8,303
9.0$9,330
10.0$10,357
11.0$11,384
12.0$12,411
13.0$13,438
14.0$14,465
15.0$15,492
  • 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 ($999 per credit hour)

More information about tuition and fees.

Learn More

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Jan. 1

 

Application Deadline

Investment You Can Count On

33%

projected job growth for mathematicians and statisticians, 2020-2030

$103,930

median annual wage for data scientists and mathematical science occupations, May 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

Doug Nychka

Doug Nychka

Rank - Professor

Department - Applied Mathematics and Statistics

Email - nychka@mines.edu

Phone - 303-384-2469

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

Grad School Insights

Value in Action

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