Data Intensive Computing *
Department of Computer Science and Engineering
Contact InformationData-intensive Computing Certificate
School of Engineering and Applied Sciences
338 Davis Hall
North Campus Campus
Buffalo, NY 14260
Web Address: www.cse.buffalo.edu
Program OverviewData-intensive computing is a collective solution to address the data deluge that has been brought about by tremendous advances in distributed systems and Internet-based computing. There is tremendous need for analyzing the data to discover knowledge, to understand behaviors, and to mine for patterns. These discoveries and patterns of data are expected to impact a wide range of applications from the social sciences to medical sciences. The scale, the complexity and the types of the data to be managed has given rise to newer data models and algorithms. Data-intensive computing deals with these newer data and computational models and related algorithms and data structures. This newly created certificate program aims to improve the preparedness of our students for data-intensive computing.
This data-intensive computing certificate program is relevant and useful in any discipline with large data-analysis needs. Any Computer Science and Engineering (CSE) student can choose the appropriate electives and project work to be awarded the certificate. The program is equally available to students in other fields of study. The program consists of a total of five courses: three required CSE courses, one elective course from the major discipline of the student and a capstone project course that applies the concepts in the earlier courses of the certificate. The program requires just 1-3 credits (for the capstone project) more than a regular minor in CSE. It creatively integrates the computational needs of the student's chosen discipline with the data-intensive computing solutions, methods and tools offered by the CSE courses. Thus the certificate program offers a pathway into computing for non-CSE students through its curriculum and its achievable design.
Last updated: May 29, 2014 3:01 pm EST