Hans-Peter Bischof, Graduate Program Coordinator
(585) 475-5568, firstname.lastname@example.org
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.
Big data analytics, advanced certificate, typical course sequence
|CSCI-620||Introduction to Big Data||3|
|CSCI-720||Big Data Analytics||3|
|Electives–Choose two of the following:|
|CSCI-621||Database System Implementation||3|
|CSCI-622||Secure Data Management||3|
|CSCI-654||Foundations of Parallel Computing||3|
|CSCI-721||Data Cleaning and Preparation||3|
|CSCI-729||Topics in Data Management||3|
|ISTE-780||Data-driven Knowledge Discovery||3|
|Total Credit Hours||12|
* Students who wish to take a graduate electrive course not listed must first obtain approval from their faculty advisor.
To be considered for admission to the advanced certificate in big data analytics, candidates must fulfill the following requirements:
- Hold a baccalaureate degree in science, computing, engineering, or related majors from an accredited college or university;
- Have a minimum GPA of 3.0;
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work;
- Have acceptable college level credit or practical experience in probability and statistics, computer programming in a high-level language, and database systems; and
- Complete a graduate application.
This certificate is intended for part-time study; therefore, RIT cannot issue I-20 paperwork.