Data Science – Computer Science

Online at Colorado School of Mines

Data Science – Computer Science Post Baccalaureate Certificate

The Data Science – Computer Science graduate certificate is an online or residential program focusing on data science concepts within computer science (e.g., computational techniques and machine learning) plus prerequisite knowledge (e.g., probability and regression). The aim of this certificate is to help students develop an essential skill set in data analytics, including (1) deriving predictive insights by applying advanced statistics, modeling and programming skills, (2) acquiring in-depth knowledge of machine learning and computational techniques, and (3) unearthing important questions and intelligence for a range of industries, from product design to finance.

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 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

16%

projected job growth 2018-2028

~$98,000

average annual salary for computer and information technology occupations

#1

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

Computer Science and Data Science Faculty

Christopher Painter-Wakefield

Christopher Painter-Wakefield

Rank - Teaching Professor

Email - cpainter@mines.edu

Phone - 303-273-3717

Jeffrey Paone

Jeffrey Paone

Rank - Undergraduate Director and Teaching Professor

Email - jpaone@mines.edu

Phone - 303-384-2587

Amelia Read

Amelia Read

Rank - Teaching Assistant Professor

Email - read@mines.edu

Phone - 303-384-2363

Phillip Romig III

Phillip Romig III

Rank - Professor of Practice

Email - promig3@mines.edu

Phone - 303-384-3866

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

Rob Thompson

Rob Thompson

Rank - Teaching Assistant Professor

Department - Computer Science

Email - rthompson@mines.edu

Phone - 303-384-2716

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

Thomas Williams

Thomas Williams

Rank - Assistant Professor

Email - twilliams@mines.edu

Phone - 303-273-3820

Grad School Insights

Value in Action

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