Computer Science Doctor of Philosophy (PHDCS)
Credits
72
Start Terms
Fall
|Spring
|Summer
Available
On Campus
Tuition
$3,365.10
estimated per semester
Discover innovative ways to use technology as you earn your doctorate in computer science. This degree prepares future leaders in technology, research, and education with the knowledge necessary to shape the computer science field.
Innovative approaches to learning
This curriculum is for students eager to go deeper into theory, expand their skills in practical systems, and contribute through original research. From the beginning, you will be immersed in a collaborative environment where you will study areas in artificial intelligence, cybersecurity, machine learning, and data analytics.
DSU's Doctor of Philosophy in Computer Science program is the first of its kind in South Dakota, equipping you to stand out in your field.
Tailored to fit your needs
Explore the opportunities of computer science through theory and hands-on experience. The program is offered across three academic terms, with both part-time and full-time options to fit your schedule. With a dynamic Plan of Study (PoS) and a wide range of electives to choose from, you are able to personalize your learning path.
A research-driven experience
Research is the foundation of this program, allowing you to apply that knowledge to solve real-world problems. That's why you have prime access to some of the best labs and professionals in the country, including the AI Lab within the Madison Cyber Labs (MadLabs®).
Explore your possibilities
You will demonstrate your abilities to address complex issues and new technologies alongside industry experts in cutting-edge labs. This program opens doors to a variety of career opportunities in both the public and private sectors.
Learning Outcomes
Upon completion of the Doctor of Philosophy in Computer Science, students will:
- Demonstrate a comprehensive knowledge of computer science principles needed to teach at the university level.
- Apply advanced knowledge of computer science technologies to address real-world challenges.
- Develop evidence-based solutions through original thinking in the field.
- Conduct new research in the field of computer science.
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