The 12-credit Data Analytics and Engineering Graduate Certificate prepares students for working as a Data Architect responsible for designing, building, and maintaining infrastructure for managing and analyzing large volumes of data. Students master the following skill set essential to this industry role:
- Programming
- Machine Learning
- Data Mining
- Data Modeling and Design
- Data Integration
- Data Warehousing
Courses
- DAAN 545 – Data Mining (Formerly SWENG 545)
- DAAN 825 – Large-Scale Database and Warehouse
- DAAN 862 – Analytics Programming in Python (Prereq: STAT 500)
- DAAN/IE 575 – Foundations of Predictive Analytics (Prereq: STAT 500)
You can earn this certificate in less than one year or complete it at your own pace. All courses must be completed with a minimum grade of C or better and an overall GPA of 3.0.
Stackable Certificate or Stand-alone Credential
You may earn this certificate by itself, or you can apply the courses toward the Master of Software Engineering if you apply to the master's program (no additional application fee) and are accepted. This stackable certificate offers you a valuable credential that shows your new expertise as you progress toward your master's degree.
Up to 15 credits earned in any of these data analytics certificate programs may be transferred to the master's degree in data analytics, subject to restrictions outlined in GCAC-309 Transfer Credit.
Once you earn your certificate, you will receive a digital badge that you can display to recognize your professional growth. After successfully completing the required coursework, please submit the Graduate Certificate Completion Form.
Admission Requirements and How to Apply
Please follow the Graduate Certificate Application Instructions to apply.
- You must have earned a GPA of 3.0 or above in your junior and senior year of undergraduate studies.
- You will receive preferred consideration if you have an undergraduate degree in a quantitative discipline such as science, engineering, or business.
- If your degree is in another discipline, you will be considered based on prior coursework, professional experience, and/or standardized test scores.
Prep Courses
If you do not have a background in a quantitative discipline, we offer low-cost, non-credit online prep modules that provide a strong practical foundation. Based on your academic experience, program advisors will recommend the most suitable modules for you.
Talk with a Program Representative
If you have any questions about this certificate and how it could support your career goals, schedule an appointment with a program representative.
Erica Dercole
Enrollment Services Specialist
Email: [email protected]
Schedule a Call with Erica
If you are a current student, please email any advising questions to [email protected].