A certificate program in Analytics is intended for students with a bachelor degree who want to gain technical skills in data mining and big data analytics.
Required Courses
| Course | Title | Quarter Hours |
|---|---|---|
| DATA ANALYSIS AND REGRESSION | ||
| PYTHON PROGRAMMING | ||
| FUNDAMENTALS OF DATA SCIENCE | ||
| DATABASE PROCESSING FOR LARGE-SCALE ANALYTICS | ||
| DATA VISUALIZATION |
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 (2) courses.
A student must earn at least C- in each of the five (5) 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 (3) introductory courses.
Introductory Courses
| Course | Title | Quarter Hours |
|---|---|---|
| CSC 401 | INTRODUCTION TO PROGRAMMING | 4 |
| CSC 412 | TOOLS AND TECHNIQUES FOR COMPUTATIONAL ANALYSIS | 4 |
| IT 403 | STATISTICS AND DATA ANALYSIS | 4 |
Introductory courses can be waived by prior coursework, work experience or successful completion of a Graduate Assessment Examination (GAE) in the Introductory Course area.