Petroleum Engineering Graduate Certificate

100% Online Petroleum Engineering Data Analytics Graduate Certificate.

The Petroleum Engineering Data Analytics Graduate Certificate is a 9-credit-hour program ideal for engineers who are interested in mastering the ability to use analytics on the massive amounts of data being made available in the industry to better inform decision-making.

Designed for working professionals in the energy industry, this program is entirely online and asynchronous. This flexible online format will allow you to view video lectures, complete experiential projects and engage with professors and classmates while continuing to work full-time. Affordable and convenient, our program is a practical way to gain industry-relevant skills and learn the critical competencies an oil and gas engineer needs to compete and be successful in the energy industry.

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Class Format

Graduate certificate courses are offered in a 100% ONLINE format. The program requires completion of nine semester credit hours of coursework and is available to degree-seeking and non-degree-seeking students. The nine hours of coursework can be applied to either the petroleum engineering or mechanical engineering master's degree. The modular courses in this online program have been designed from the ground up to incorporate current best practices in online education. Courses are broken into small, manageable segments that are completed asynchronously by a cohort of students.

Lessons may consist of case studies, short videos, group discussions, and experiential projects for students to apply new knowledge.



Tuition is $3,750 per course plus fees for all students, regardless of location. In total, tuition is $11,250 plus fees. This tuition rate is subject to change.

Private Loans

Students enrolled in the Petroleum Engineering Data Analytics Graduate Certificate program are not eligible for financial aid. However, private loans may help cover the cost of tuition. Please note that the Office of Scholarships for Financial Aid is unable to recommend alternative lenders.

When applying, your loan lender will likely require a loan certification to verify enrollment and cost of attendance. This process usually takes 10 to 14 business days but can take longer during peak times, and certified loans will only disburse once all documents have been received by your lender. We encourage you to consider all financial options prior to applying for private loans.

Veterans Benefits

Graduate certificate students may be eligible to receive veteran education benefits from the G.I. Bill or V.A. Tuition Assistance. Please refer to the Veteran Education Benefits page on Texas One Stop for more information.

Tuition Reimbursement

Tuition reimbursement is a benefit offered by many employers to employees who are looking to gain job-related skills and advance their careers within the company. Many of our former graduate certificate students were sponsored by their employers, with reimbursement covering some or all of their tuition costs.

If you’re interested in tuition reimbursement, you should first verify whether your employer has an existing tuition reimbursement policy. From there, you can determine your eligibility and work with your employer to receive benefits.


Graduate Certificate Admission Requirements

At UT Austin, admission decisions are made on a holistic basis. Applicants will be admitted based on the sum of their academic and professional accomplishments, not any single criterion.

Domestic Requirements

To qualify for our Petroleum Engineering Data Analytics Graduate Certificate program, applicants must have:

  • A Bachelor of Science in Petroleum Engineering
  • A 3.0 GPA (recommended)*
  • Official transcripts from senior colleges attended prior to UT Austin
  • 12 months of industry-related experience (recommended)
  • Resume
  • Statement of purpose

*Conditional admission may be possible if your GPA is below 3.0.

International Requirements

In addition to meeting the domestic requirements, international applicants will need to submit:

  • TOEFL or IELTS scores, if applicable

Conditional Admission

Applicants who hold less than a 3.0 GPA may be recommended for conditional admission by the Admissions Committee (contingent on approval from the graduate dean) based on the overall strength of their application, including transcripts, test scores and experience. Conditional applicants should submit their application and materials under the same guidelines as all applicants, but should address any academic challenges that may have tarnished their GPA in their statement of purpose. This statement should also mention how applicants faced their challenges, or plan to face similar challenges in the future.

If the Admissions Committee decides in the student’s favor, the application is forwarded to the Graduate School for a final decision. Students who are granted conditional admission have conditions associated with their first semester as students, which typically entail earning no grade lower than 3.0, not dropping any classes or earning any incompletes and undergoing a review at the end of the semester to ensure satisfactory progress.

Application Deadlines

Applications are accepted for fall and spring semesters. Please note applications are reviewed on a rolling basis.

Applicants, especially international students, are encouraged to apply as early as possible. Notice of an admission decision is typically sent about one month after application completion and only after all materials have been received. All materials are due by the application deadline. Please note that test scores may take up to three weeks to transmit to UT Austin.


  • Final Deadline: July 1


  • Final Deadline: November 1


PGE 383 Topic 66 Data Analytics and Geostatistics – 3 credit hrs

Explore subsurface data analytics and geostatistics, from fundamental probability and statistics, univariate and multivariate analysis, representative sampling, spatial characterization and modeling, and uncertainty management to decision-making in the presence of uncertainty.

PGE 383 Subsurface Machine Learning – 3 credit hrs

Explore the theory and practice of data analytics and machine learning for subsurface resource modeling. Examine fundamental probability and statistics; data preparation and feature engineering, inference (clustering, multidimensional scaling) and prediction (regression, naïve Bayes, decision trees, random forest, support vector machines and artificial neural nets); and model selection, training, testing, tuning, and validation.

PGE 383 High Performance Computing for Engineer – 3 credit hrs

Explore an introduction to the UNIX environment in a high-performance scientific computing context. Examine several import UNIX applications that can help users be more productive. Discuss the basic differences between various parallelization styles of computing, as well as how to utilize the application programming interfaces (APIs) in scientific applications.


John Foster, Ph.D.

Before joining the UT PGE faculty in August of 2014, Dr. Foster was most recently a faculty member at UTSA and prior to that was a senior member of the technical staff at Sandia National Laboratories where he worked for seven years. His research interests are in experimental and computational geomechanics and multi-scale modeling with applications to well completions, lost circulation, hydraulic fracturing, and anomalous flow in porous media. Additionally, he has interest in fundamental theoretical advancement of the peridynamic theory of solid mechanics.

Michael Pyrcz, Ph.D.

Dr. Pyrcz’s current research focusses on improving reservoir characterization and modeling for enhanced development planning, minimized environmental impact, stronger profitability and better utilization of valuable natural resources. He and his students work on reservoir modeling related problems of improved integration of geological concepts, modeling for unconventional plays, improved data integration, multiscale and multivariate modeling, machine learning, big data analytics, and optimal decision-making in the presence of uncertainty.


Can I apply to enter the graduate certificate program in the summer semester?
No, students are only accepted into the program in the fall and spring semesters.

How do I check my application status?
Students can view their application status by monitoring MyStatus.

Is the GRE required for admission?
No, the GRE is not required at this time, although it may be used to strengthen an application. UT Austin’s institution code is 6882. Please note that all application materials are due by the deadline and test scores may take up to three weeks to transmit to UT Austin.

Does this program accept transfer credits?
No, this program does not accept transfer credits.

Can I enroll in the graduate certificate program full time?
No, this program is a part-time program.

How are online courses delivered?
Online courses are delivered through Canvas. Students can click here to log into Canvas and access 24/7 support.

Are the courses asynchronous?
Yes, courses are 100% asynchronous. However, there are deadlines to ensure that courses are completed in a timely manner.

Does this program have a thesis requirement?
No, this program is coursework only.

Can students reach out to professors for assistance?
Yes! In addition to providing feedback, professors are available to students when needed. Professors and teacher assistants can be reached during their office hours and are enthusiastic to answer questions.

What online services are available to students?
UT Austin students have access to numerous online resources, including academic coaching through the Sanger Learning Center and writing appointments through the University Writing Center.

Do I have access to UT Austin’s library?
Yes, students can access databases, digital collections, e-journals and e-books online at the University of Texas Libraries.

How do I access the student handbook?
Students can click here to view the student handbook.

How do I get help with technical issues?
Technical assistance is available 24/7 through Canvas. Students can also request tech support by visiting IT@UT or the Cockrell School of Engineering’s IT site.

What financial aid options are available?
Master’s degree students are not eligible for financial aid, but they are eligible for federal loans through the Office of Scholarships and Financial Aid.

Can I apply my veterans or military benefits toward tuition?
Yes, students enrolled in either the master’s degree or graduate certificate program are eligible to receive veterans benefits from the G.I. Bill or V.A. Tuition Assistance. Please refer to the Veteran Education Benefits page on Texas One Stop for more information.

How do I make a payment?
Students can pay their tuition online at My Tuition Bill. Students can pay online using a credit card, eCheck, electronic funds transfer, installment plan, tuition loan or eProxy.

How can I access my transcripts?
Unofficial transcripts are available to current and former students with a financial bar. Students can email This email address is being protected from spambots. You need JavaScript enabled to view it. for instructions on how to order and have a transcript mailed to them. Unofficial transcripts are $20 per copy, and students will need their UT EID, if known, and full name on record. Unofficial transcripts cannot be sent to a third party.

For the same cost as an unofficial transcript, students without a financial bar can order an official transcript. Students can order an official transcript online through the secure online transcript order system using their EID. Official transcripts can be sent electronically or by mail to students or third parties. Official transcripts can also be ordered by submitting a signed transcript order form 891 via one of the following:

  • Email
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Fax
  • Mail
    The University of Texas at Austin
    Office of the Registrar
    Transcript Services
    P.O. Box 7216
    Austin, TX 78713-7216

Does this program offer networking opportunities?
Yes! Students and graduates of the Cockrell School of Engineering have access to the Engineering Career Assistance Center (ECAC), which offers career counseling and workshops to help students navigate the recruitment process and find high-paying careers. Texas Engineering also offers numerous ways for graduates to stay connected with their 70,000 fellow alumni.

What does option 3 mean?
Option 3 is the designation used by UT Austin for self-funded programs with atypical hours and adjusted modes of instruction.


  • Earn a completely online Engineering Graduate Certificate from the renowned Cockrell School of Engineering.
  • Online courses are industry-relevant and immediately applicable to engineering jobs.
  • Online course structure is designed in accordance with current best practices in remote learning.

Why Choose Texas Engineering?

  • A Global Leader: The Cockrell School of Engineering has been a global leader in engineering education for over a century. Ranked the No. 12 best engineering school in the country, our school is the academic home of approximately 2,000 graduate students.
  • A Convenient Format: Texas Engineering Executive Education offers degree and certificate programs designed to accommodate the needs of professional engineers, with flexible and affordable options that give busy engineers the unique opportunity to complete their program of interest while working full-time.
  • A Respected Community: Graduates of the Cockrell School join one of the nation’s largest and most respected professional networks. Members of our alumni family can access exclusive resources and connect with students, professors and fellow alumni.

Speak with our Admissions Expert

For additional information on our graduate certificate programs, please contact a This email address is being protected from spambots. You need JavaScript enabled to view it..