Petroleum Data Analytics
The Petroleum Data Analytics certificate program provides an introduction to advanced data analytics in the digital oilfield. Students receive a comprehensive overview of the fundamental building blocks of the digital oilfield from the convergence of operational technology (field instrumentation and control systems) with the corporate information technology infrastructure, along with an understanding of the data foundation for a typical oil and gas exploration and production company and the challenges of “Big Data” to oilfield operations (volumes, variety, velocity and data quality).
Certificate Requirements
Graduate Certificate in Petroleum Data Analytics
- A completed bachelor’s degree in a relevant field from an accredited institution or relevant experience
- Statement of purpose letter: present your professional and personal goals
- Resume or Curriculum Vitae (CV)
- For international applicants or applicants whose native language is not English, please review the English Proficiency requirement
Note: A Graduate Record Examination (GRE) is not required for admission into the online Data Science program
Graduate Certificate in Petroleum Data Analytics
12 credit hours/4 courses
Tuition
CREDIT HOURS | TOTAL 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)
Request More Information
July 15
Application Deadline
Faculty

Soutir Bandyopadhyay
Rank - Associate Professor
Department - Applied Mathematics and Statistics
Email - sbandyopadhyay@mines.edu
Phone - 303-273-3677

Jim Crompton
Rank - Professor of Practice
Department - Petroleum Engineering
Email - jamescrompton@mines.edu

Elio Dean
Rank - Professor of Practice
Department - Petroleum Engineering
Email - eldean@mines.edu
Phone - 303-384-2419

H. Sebnem Duzgun
Rank - Professor and Fred Banfield Distinguished Endowed Chair
Department - Mining Engineering
Email - duzgun@mines.edu
Phone - 303-384-2357

Alfred William (Bill) Eustes III
Rank - Research Faculty
Department - Petroleum Engineering
Email - aeustes@mines.edu
Phone - 303-273-3745

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
Grad School Insights
- How to add a master’s or graduate certificate in data science to your science or engineering degree
The world is awash in data, and companies in every single industry—from retail and health care to manufacturing and finance and beyond—are looking to harness that information to elevate customer exper … - How does data science apply to health care, manufacturing and many other fields?
To demonstrate how exciting and varied data science is, here are a few examples of the research being conducted at Colorado School of Mines: 1. A team of Mines professors are using machine learning in … - How to choose a data science graduate program
With the explosion in demand for data scientists has come a ton of educational options—from short boot camps to PhD specializations and everything in between. Here are a few things to think about when … - How to jump-start your data science education and career
So you’ve decided to enter the burgeoning field of data science, or at least incorporate it into your current position. For a full-time position in data science, chances are you’ll need an advanced de … - What is data science, and how is it different from data analytics?
Data science is about all the new information that has only recently become available, largely due to advances in technology, and cannot be processed using traditional techniques. Some of it is “big” …
Value in Action
The annual salary survey
consistently demonstrates
the value of a Mines degree.