Minor in Petroleum Data Analytics
Minor in Petroleum Data Analytics
Program Advisor: Serveh Kamrava
The purpose of this minor is to enhance data analysis skills and to show potential opportunities of data, give students the skill set to manage and analyze the data and use their knowledge of petroleum engineering to make petroleum resource acquisition more economical, safe, and environmentally sound.
Objectives:
By the end of the minor program, students will be able to:
• Collect and pre-process typical petroleum data and to rearrange for use in analysis
• Apply standard probability and statistics methodology to various data constructs
• Analyze data to determine which various regression and prediction techniques would be applicable and to use that analysis process
• To build system algorithms for data information insight
• Use various data analytics analysis and visualization software for the petroleum industry
Minor Requirements
To obtain a Petroleum Data Analytics Minor, students must take a minimum of 18 credits related to Data Analytics. Seven courses (18 credits) are required, which includes one 3-credit course from a list of technical electives. Petroleum Engineering students can use any of their free elective classes and take PEGN438 as part of the normal PEGN credit requirements. See Mines minor requirements here. Students should begin their classes for this minor by the fall semester of their junior year in order to graduate in four years.
Prerequisite classes
The following classes are required before the students can take Petroleum Data Analytics Minor:
• MATH112. CALCULUS FOR SCIENTISTS AND ENGINEERS II or
• MATH122. CALCULUS FOR SCIENTISTS AND ENGINEERS II HONORS
• EBGN201. PRINCIPLES OF ECONOMICS
Required Courses (18 credits)
| Required Courses | ||
| MATH201 | INTRODUCTION TO STATISTICS | 3.0 |
| CSCI128 | COMPUTER SCIENCE FOR STEM | 3.0 |
| CSCI303 | INTRODUCTION TO DATA SCIENCE | 3.0 |
| PEGN440 | INTRODUCTION TO THE DIGITAL OILFIELD | 3.0 |
| Required PE Major Courses | ||
| PEGN438 | PETROLEUM DATA ANALYTICS | 3.0 |
| Choose one Technical Elective - All 3-credit courses | ||
| EBGN461 | STOCHASTIC MODELS IN MANAGEMENT SCIENCE | 3.0 |
| GEGN475 | APPLICATIONS OF GEOGRAPHIC INFORMATION SYSTEMS | 3.0 |
| MATH334 | INTRODUCTION TO PROBABILITY | 3.0 |
Primary Contact
Jennifer Miskimins, Department Head https://petroleum.mines.edu/