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Big Data Analytics Adv. Cert.

Hans-Peter Bischof, Graduate Program Coordinator
(585) 475-5568,

Program overview

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.

Plan of study

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

Course Cr. Hrs.
Required Courses
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-652    Distributed Systems  
   CSCI-654    Foundations of Parallel Computing  
   CSCI-721    Data Cleaning and Preparation  
   CSCI-729    Topics in Data Management  
   ISTE-724    Data Warehousing  
   ISTE-780    Data-driven Knowledge Discovery  
     Open Elective*  
Total Credit Hours 12

* Students who wish to take graduate elective courses not listed above must obtain approval from their faculty adviser.

Admission requirements

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.  

Additional information

Study options

This certificate is intended for part-time study; therefore, RIT cannot issue I-20 paperwork. 

Gainful employment

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 on the ED Gainful Employment Disclosure Template.