Data Science & Engineering  BS

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The data science and engineering program at South Dakota Mines welcomes curious minds who want to do more than just crunch numbers. Here, you'll delve into computer science, statistics, mathematics, and real-world problem-solving, learning to turn raw data into meaningful and actionable solutions.


In the classroom …
This program provides you with the tools you need to make a meaningful impact – whether you're interested in healthcare, climate science, finance, or next-generation technologies. As part of Mines' comprehensive curriculum, students engage in hands-on projects and collaborate on capstone experiences.

 

Beyond the classroom …
Build your resume at South Dakota Mines with research and internships alongside experts in data science and engineering. After graduation, you will be equipped to lead in one of the fastest-growing, highest-paying fields in the world. Professional positions include data analyst, statistical analyst, machine learning engineer, and application architect, to name a few.

 

 

 

 

 

Application Instructions  

Request Info.

 

Program Highlights

Featured Courses

  • Data Engineering
  • Machine Learning
  • Introduction to Data Science
  • Computers in Society

Credits

120 Credits

Career Outlook

The demand for data scientists is skyrocketing, with employment projected to grow 34% from 2024 to 2034, far faster than most other careers.

 


The Data Science and Engineering (BS) program is pursuing  accredidation by the Engineering Accreditation Commission of ABET, https://www.abet.org, under the commission’s General Criteria and Program Criteria for Electrical, Computer, Communications, Telecommunication(s) and Similarly Named Engineering Programs.


Expand your Horizons

Take advantage of internship opportunities and research experiences to test-drive different industries to find the best fit for your interests.

Potential Employers

  • GE HealthCare
  • John Deere
  • Amazon Web Services (AWS)
  • NASA
  • Google

Career Examples

  • Data Scientist
  • Machine Learning Engineer
  • Cloud Data Engineer
  • Bioinformatics Analyst
  • AI/ML Product Developer

Current Research

  • Artificial Intelligence & Machine Learning
  • Environmental & Geospatial Data
  • Human & Social Data
  • Health & Biomedical Applications
  • Advanced Manufacturing & Immersive Tech

 

Have more questions?

Department Head:
Jeffrey McGough

Request Info:

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