Computer Science Degree
Computer Science and Engineering at South Dakota Mines
Video
Program Highlights
Course CatalogFeatured Courses
Data Structures & AlgorithmsTest-Driven Software Development
Introduction to Digital Systems
Finite Structures
Operating Systems and Virtual Machines
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.
Jeffrey S McGough
Computing: Evolutionary algorithms, machine learning, particle and swarm methods,
numerical methods for reaction-diffusion equations, parallel computing, hybrid methods
for nonlinear systems.
Francis E Akowuah
Assistant Professor / Electrical Engineering and Computer Science
Computer Science (BS) is accredited by the Computing Accreditation Commission of ABET http://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
Black Hills EnergyCNH and Raven Industries
Echostar
Epic Systems
Garmin
Golden West Telecommunications
Career Examples
Artificial Intelligence (Al)Augmented Reality (AR)
Computer Scientist
Data Scientist or Data Engineer
Database Administrator
High-Performance Computing (HPC)
Average Starting Salary
$82,998
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.
Cybersickness (visually induced motion sickness from a virtual environment), 3D systems,
virtual reality (VR), user interfaces, and analysis of algorithms.
Computer vision, machine learning, data analytics, dynamic systems and control, multilinear
subspace learning, and graph-based forecasting.
Autonomous cyber-physical system security (attack detection and recovery), web security,
mobile operating system security, application security, network security, privacy
and anonymity, and machine learning security (adversarial attacks).