Analytics Certificate

2016-2017 Academic Year

Analytics Certificate

The Certificate in Analytics is intended for students who hold a bachelor's degree and wish to gain technical skills in data mining and big data analytics.

  • In-Class
  • In-Class and Online
  • Online Only
  • Not Currently Offered
Required Courses
CSC 423
IS 467
CSC 455
Two Courses Chosen From
CSC 555
CSC 495
CSC 478
CSC 575
ECT 584

A student in a certificate program may not use a course already taken as part of an MS program. In particular, students with an MS from CDM may not reuse, for certificate credit, any course already taken for the MS. A faculty advisor can make an appropriate substitution. A student in a certificate program may substitute a maximum of two courses. 

A student must earn at least C- in each of the five courses and earn a cumulative GPA of at least 2.5 to receive the certificate. 

Students who do not have a background in statistical inference, linear algebra and programming will be required to take up to three introductory courses.

Introductory Courses
CSC 401
CSC 412
IT 403

Introductory courses can be waived by prior coursework, work experience or successful completion of a Graduate Assessment Examination (GAE) in the Introductory Course area.

Admission Requirements

The Certificate Program in Analytics has the same admission requirements as the MS in Predictive Analytics. After completing the certificate, students have the option to enroll in the MS degree and all courses from the certificate can be applied there.

All applicants must have:

  • Successfully completed a bachelor's degree or its equivalent from a regionally accredited institution
  • Have a minimum GPA of 3.0
  • Have completed two courses in Calculus

Choose non-degree seeking programs on the DePaul Application.