If you鈥檙e looking for a challenging yet rewarding career or want to learn the art and science behind modern technology, the Computer Science Bachelor of Science degree is right for you.
Accelerated Graduate Pathway: Computer Science
The Accelerated Graduate Pathway: Computer Science provides outstanding undergraduate students the opportunity to make simultaneous progress toward both a Bachelor of Science degree in Computer Science or Artificial Intelligence and a graduate degree in engineering.
How It Works
Undergraduate students admitted to the pathway can take up to 16 credit hours of coursework toward a graduate degree, applying up to 9 credit hours of specified coursework toward the Bachelor of Science as well.
Computer Science and Artificial Intelligence undergraduates commonly use this pathway to complete some coursework toward the Master of Science in Computer Science (MS Thesis track or MS Non-Thesis track) or the Doctor of Philosophy: Specialization in Computer Science while enrolled as undergraduates.
A student who takes full advantage of the pathway can typically complete the Master of Science in Computer Science (M.S. Thesis track or M.S. Non-Thesis track) within one year after completing their Bachelor of Science.
Start with a Bachelor's Degree
-
Artificial Intelligence Major
Our bachelor's degree in Artificial Intelligence (AI) trains students in the emerging computer science discipline of AI, machine learning and deep learning.
Finish with a Master's Degree or a Ph.D.
-
Computer Science M.S.
The Computer Science Master of Science degree (M.S. Thesis track or M.S. Non-Thesis track) offers the opportunity to influence the future of computing systems, from immersive technologies to supercomputing.
-
Electrical Engineering and Computer Science Ph.D.
A doctoral degree in Electrical Engineering and Computer Science educates engineering professionals to become leaders in industry, government and university positions who are committed to the highest standards of professional ethics, lifelong learning, and improving the human condition.
Admissions Information
Computer Science students (BS7241) will be eligible to apply for conditional admission to the AGP after completing 64.5 credit hours; students will be eligible to enroll in courses after completing 80.5 credit hours of courses in the EECS curriculum.
Artificial Intelligence students (BS7477) will be eligible to apply for conditional admission to the AGP after completing 62 credit hours; students will be eligible to enroll in courses after completing 75.5 credit hours of courses in the EECS curriculum.
Application is limited to students who:
- Are in the Computer Science (BS7241) program or in the Artificial Intelligence (BS7477) program.
- Have completed the first 6 semesters of the B.S. program curriculum, including:
- Computer Science students (BS7241) must achieve a (C) grade or better in all of the required junior-level CS courses, which consist of CS3000 (Introduction to Discrete Structures), CS3200 (Organization of Programming Languages), CS3620 (Database System), CS3610 (Data Structures), CS3560 (Software Engineering Tools and Practices), EE3613 (Computer Organization), EE3713 (Applied Probability and Statistics for Electrical Engineers), and MATH3200/3210 (Linear Algebra); however no more than six (6) semester hours of grades at B-, C+, or C may be applied toward EEMS degree requirements.
- Artificial Intelligence students (BS7477) must achieve a (C) grade or better in all of the required junior-level AI courses, which consist of MATH3200 (Linear Algebra), CS3000 (Introduction to Discrete Structures), EE3713 (Applied Probability and Statistics for Electrical Engineers), CS3200 (Organization of Programming Languages), CS3560 (Software Engineering Tools and Practices), CS3610 (Data Structures), EE3613 (Computer Organization), AI3100 (Foundations of Artificial Intelligence), and AI3300 (Statistical Learning); however no more than six (6) semester hours of grades at B-, C+, or C may be applied toward EEMS degree requirements.
- Have a cumulative GPA of at least 3.25 or a minimum GPA of 3.0 overall with 3.5 in the most recent 30 hours.