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Artificial Intelligence

Push the boundaries of what's possible and develop AI technologies that influences the way we live today and tomorrow.

Keep Up with the Rapidly Growing Field of AI

The artificial intelligence program is a deep dive into the development of AI-driven tools for several different purposes that include machine vision/robotics, machine learning for big data, data analytics, internet of things, and information retrieval, where data include clinical texts, web-based social data/tweets, robotics and cultural heritage documents. In addition to the state-of-the-art AI-driven tools, USD is equipped with a high-performance computing center that will be used in the AI courses.

 

Degrees & Offerings

Artificial Intelligence

Certificate
  Vermillion Main Campus and Online

If you are interested in data analytics with machine learning models, computational chemistry physics, business/finance and heath sciences, to name a few, you can benefit from this 12 credit hour online graduate certificate. You are not required to be a computer science major to apply. The credit hours earned in this certificate may transfer to earning your master's degree.

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Computer Science: Artificial Intelligence (M.S.)

Master's
  Vermillion Main Campus

Explore this specialization if you are interested in data analytics with machine learning models, computational chemistry physics, business/finance and heath sciences, to name a few. This program offers both a thesis and non-thesis track and requires 30 credit hours which includes 15 credit hours for the specialization.

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Program Details

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Department

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Graduate Admissions

Departments & Facilities

Our department is home to programs, resources and services that benefit our students, communities and academic discipline. The USD Department of Computer Science's award-winning faculty's research and teaching areas are primarily focused on algorithms, artificial intelligence, computer vision, machine learning, pattern recognition, data science, information retrieval, Internet of Things, cyber security and big data.
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Computer Science

Learn to develop and manage technology that changes the world in the Department of Computer Science.

FACULTY & STAFF

Get to know the faculty and staff in the Departments of Computer Science and Math. Our faculty are experts in their field, contributing research and scholarship in algorithms, artificial intelligence, machine vision, machine learning, pattern recognition, data science, information retrieval, internet of things, cybersecurity and big data.
Bio Image for Faculty Member KC Santosh

KC Santosh

Chair, Computer Science/Associate Professor

Specialty

Artificial Intelligence and Machine Learning
Bio Image for Faculty Member Farhad Akhbardeh

Farhad Akhbardeh

Farhad Akhbardeh
Bio Image for Faculty Member Laurie Fritsch

Laurie Fritsch

Senior Secretary
Bio Image for Faculty Member Doug Goodman

Doug Goodman

Associate Professor
Bio Image for Faculty Member Carrie Minette

Carrie Minette

Instructor
Bio Image for Faculty Member Rodrigue Rizk

Rodrigue Rizk

Assistant Professor
Bio Image for Faculty Member Vijayalakshmi Saravanan

Vijayalakshmi Saravanan

Assistant Professor
Bio Image for Faculty Member Zachary Tschetter

Zachary Tschetter

Instructor
Bio Image for Faculty Member Longwei Wang

Longwei Wang

Assistant Professor
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Take Your Classes Online

We're committed to bringing our knowledge to you. USD serves the largest number of online students in the state of South Dakota. With competitive online tuition rates, we offer the same price whether you’re out-of-state or an in-state resident.
 
Take classes at your own pace, enroll in an online class today!


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Take advantage of 546,000 new jobs by 2028!

According to the Bureau of Labor Statistics, employment of computer and information technology occupations is projected to grow 12% from 2018 to 2028, much faster than the average for all occupations. Demand for these workers will stem from greater emphasis on cloud computing, the collection and storage of big data, and information security, where machine learning—the heart of AI—is employed. 

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