The Department of Computer Science (CS) at the State University of New York at Buffalo, which was established in 1967, became the Department of Computer Science and Engineering (CSE) in 1998. At the undergraduate level, it currently offers programs leading to the Bachelor of Arts (B.A.) in Computer Science , the Bachelor of Science (B.S.) in Computer Science., and the B.S. in Computer Engineering (CEN). These programs prepare students equally well for graduate work or professional positions in the computing and information technology fields. The primary difference between the two CS programs is one of depth vs. breadth: the B.S. program provides a more concentrated approach to computer science, while the B.A. program encourages students to combine computer science with studies in another field. The CEN program is oriented towards students with interest in applying computing concepts to physical design and prototyping.
Since Computer Science and Engineering applies to so many facets of modern life, students in each of these programs are strongly encouraged to use their elective courses to pursue interests in other fields. The CSE Department also offers joint degree programs with various other departments; students interested in these programs should contact the appropriate department or school.
Contacts:
Director of Undergraduate Studies: Dr. Ramalingam Sridhar
Undergraduate Advisor: Jaynee Straw
Undergraduate Catalog:
Program Inquiries: cse-uginfo@buffalo.edu
The Computer Engineering Undergraduate Program in the Department of Computer Science & Engineering at the University of Buffalo is accredited by ABET. The Accreditation Board for Engineering and Technology (ABET) is a federation of 31 professional engineering and technical societies. Since 1932, ABET has provided quality assurance of education through accreditation. ABET accredits more than 2400 engineering, engineering technology, computing and applied science programs at over 500 colleges and universities nationally. ABET is recognized by the Council on Higher Education Accreditation.
This concept scheme shows the new $75M Engineering building viewed from the southwest. This image also shows Ketter Hall (left) and Jarvis Hall (right). In 2008, UB demolished the trailers that had occupied this site.
CSE faculty average some $4.5 million annually in research grants. Our research areas range from high-performance computing to data mining.
CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.
CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.
A CSE-affiliated research center developed the systems that postal agencies around the world use for automatically sorting hand-addressed mail.
This concept scheme shows the new $75M Engineering building viewed from the northeast. Ketter and Furnas Halls can be seen on the left, just south of the new building. We broke ground in April 2009.
CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.
The Cyberinfrastructure Laboratory maintains one of New York State's most powerful compute systems.
The CSE faculty includes NSF CAREER award holders and ACM, IEEE, and AAAI fellows.
A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.
This concept scheme shows the new $75M Engineering building viewed from the northwest. The edge of Ketter Hall is visible on the right, just east of the new building. Ribbon-cutting is scheduled for 2011.
CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.
CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.
Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.
CSE Professor Russ Miller, along with Nobel Laureate Herbert Hauptman, developed an algorithm for crystal structure determination which is considered one of the top 10 algorithms of the 20th century by Computing in Science and Engineering Magazine.

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