Computer Engineering Degree
Computer engineering means knowing how to build a computing device and writing the software to drive it - whether it’s the smartwatch on your wrist or the robotic vacuum cleaning the floor.
South Dakota Mines Brand Overview
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Program Highlights
Course CatalogFeatured Courses
Test-Driven Software DevelopmentIntroduction to Digital Systems
Programming Techniques
Finite Structures
Foundations of Electrical and Electronics Engineering
Application Deadline
February
15
Academic Excellence
Meet Our FacultyPrepare to be inspired by the cutting-edge curriculum, research, practical applications,
and visionary thinking that these esteemed professors bring to the field. Get ready
to embark on a journey of discovery and advancement as you learn.
Jeff McGough
Department Head / Electrical Engineering and Computer Science
Computer Science (BS) is accredited by the Computing Accreditation Commission of ABET (https://www.abet.org).
Expand your Horizons
Career ServicesTake advantage of internship opportunities and research experiences to test-drive
different industries to find the best fit for your interests.
Potential Employers
Collins AerospaceDaktronics
Digi-Key Electronics
Echostar
Emerson
Garmin
Career Examples
Alternative Energy Control SystemsAutonomous Intelligent Systems
Robotics and Automation
Edge and Fog Computing
Electrical System Design Engineer
Firmware Engineer
Average Starting Salary
$73,357
Work with our renowned faculty and collaborate on groundbreaking projects that address
real-world challenges. The hands-on experience and expertise you will acquire here
will not only contribute to your academic growth but also prepare you for successful
careers in academia, industry, or government agencies.
Mobile robotics path planning, localization and mapping, computer vision; evolutionary
algorithms, particle and swarm methods, and biologically motivated algorithms.
Scientific visualization, high-performance computing (HPC), problem-solving environments,
algorithms and software for multicore architectures, topology-aware MPI communications,
and scalable checkpointing techniques.
Probabilistic artificial intelligence, statistical machine learning, neural networks,
stochastic control theory, robotics, intelligent control, and computer vision.
Computer vision, machine learning, data analytics, dynamic systems and control, multilinear
subspace learning, and graph-based forecasting.