In Fall, 2014 the Department of Computer Science started accepting applications for a 4+1 accelerated Masters Degree program. This undergraduate Combined/Accelerated Degree Program was created so high-achieving Bachelor of Science (B.S.) students can take graduate level courses during their Junior and Senior years. Those courses count toward both their Bachelor of Science Undergraduate Degree and a Master of Science Graduate Degree in Computer Science. The program is intended to allow strong students to move on to advanced course work and thesis research, prior to completing their B.S. degree. Once they have completed their B.S. they could have up to 15 credits towards the 32 credits required for the M.S.
How it works.
Students take graduate level courses during their Junior and Senior year (maximum of five course), that are applied towards both the B.S. and M.S. For example, the student might take these three 'core courses' in the graduate program:
- CSci 713 Software Development Processes instead of CSCI 413 Principles of Software Engineering
- CSCI 741 Algorithm Analysis instead of CSCI 467 Algorithm Analysis
- CSCI 724 Survey of Artificial Intelligence instead of CSCI 426 Introduction to Artificial Intelligence
Other substitutions might include:
- CSCI 618 Simulation Models instead of CSCI 418 Simulation Models
- CSCI 659. Foundations of Computer Networks instead of CSCI 459. Foundations of Computer Networks
- CSCI 669. Network Security instead of CSCI 469. Network Security
- CSCI 689 Social Implications of Computers instead of CSCI 489 Social Implications of Computers
NDSU Computer Science Bachelor of Science (B.S.) students who are on track to complete 60 credits (30 credits at NDSU) and have a minimum GPA of 3.50 are eligible to apply to the Combined/Accelerated Degree Program by completing the application found through the link https://www.ndsu.edu/registrar/academics/accelerated/
The full set of Guidelines are online at https://www.ndsu.edu/facultysenate/acadaffairs/reference/accelerated/
For further information, email your Computer Science Advisor or stop by the Department of Computer Science, Quentin Burdick Building (QBB) #258.