Big data is noted for its volume, varieties of data types, and rapid accumulation. Big data has become a catchphrase to describe data collections that are so large they are not amenable to processing or analysis using traditional database and software techniques. The advanced certificate in big data analytics is a multidisciplinary program intended for professionals with BS degrees in computing or other diverse fields such as finance, retail, science, engineering, or manufacturing—areas where knowledge of how to analyze big data is necessary. The advanced certificate is also meant for students who would like a formal qualification in this area. The program allows professionals with a bachelor's degree to enhance their career opportunities and professional knowledge with targeted graduate course work in a focused area without making a commitment to an MS program.
The goal of the program is to develop expertise in managing and analyzing big data. The program consists of two required courses and two elective courses selected by the student in topic areas related to big data.
Hans-Peter Bischof, Ph.D.
|Program Available Online?||No|
|English Language Exams:|
Priority deadline - COMPLETE applications that are received by this date are given priority consideration for admission and financial aid (if applicable). Applications received after the priority deadline will be considered on a space-available basis.
Rolling - There is no specific deadline for applications; applications will be accepted and reviewed throughout the year until the program reaches capacity.
|CSCI-620||Introduction to Big Data||3|
|CSCI-720||Big Data Analytics||3|
|Electives*–Choose two of the following:||6|
|CSCI-621||Database System Implementation|
|CSCI-622||Secure Data Management|
|CSCI-654||Foundations of Parallel Computing|
|CSCI-721||Data Cleaning and Preparation|
|CSCI-729||Topics in Data Management|
|ISTE-780||Data-driven Knowledge Discovery|
|Total Credit Hours||12|
* Students who wish to take graduate elective courses not listed above must obtain approval from their faculty adviser.
To be considered for admission to the advanced certificate in big data analytics, candidates must fulfill the following requirements:
This certificate is intended for part-time study; therefore, RIT cannot issue I-20 paperwork.
Information regarding costs and the U.S. Department of Labor’s Standard Occupational Classification (SOC) code and occupational profiles for this program can be viewed at www.rit.edu/emcs/financialaid/gedt/2017-2018/big-data-analytics.html.
The RIT Office of Career Services and Cooperative Education website provides information pertaining to student skills and capabilities, salary data, career information, job outcomes, and contact information for the Career Services Coordinator by program.