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The Institute for Professional Development
Big Data and NoSQL 

Big Data and NoSQL​

The goal of the Big Data and NoSQL Program is to provide students with an objective overview of Big Data so that they can determine how best to use different NoSQL databases in their working environments.

The ideal candidate for this program should have an understanding of relational databases and some programming experience building applications with them as well as experience using Windows and Linux commands. No previous NoSQL experience is necessary.

View the program's details and curriculum.

 

IPD Faculty

Certificate Programs

Certificate programs are credit-bearing courses of DePaul. Individuals who enroll in the programs become non-degree-seeking students of the university, and enjoy all the rights, privileges and responsibilities afforded to such students.​​

Schedule

Certificate programs are offered on the university's quarterly schedule, with a new session beginning each fall, winter and spring. Classes are offered on evenings and weekends and can be taken on-campus or online.
 

Course Credit

The Big Data and NoSQL Program is an accredited course of DePaul University.
Course #: IPD 351; 4 credit hours
Course #: IPD 451; 4 credit hours

PD 351 and IPD 451 are combined courses, with students attending the same lectures or viewing the same lectures (for those completing the program online). However, students in the graduate section are required to perform additional coursework than those in the undergraduate section. Applicants select to register in either IPD 351 (undergraduate level) or IPD 451 (graduate level), unless they are currently degree-seeking students of the university.

Credit hours are awarded to those who successfully complete the program's academic requirements. No midterm or final exams are conducted.

The ability to apply these credit hours to a degree program is always determined by the college granting the degree. To view course transfer guidelines for DePaul's College of Computing and Digital Media (CDM), click here.

Online Learning

 
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