Have questions about this program? We can help.
Here are some of our most frequently asked questions.
Is this program right for me?
The data science certification program is for those who want to develop the advanced knowledge and skills necessary to work as a data scientist. It is best suited for those with a strong background in applied mathematics. A master’s degree or higher in a quantitative or technical field is recommended, but not required.
What exams do I pass to receive the credential?
Pass all five certification exams to earn the SAS Certified Data Scientist credential. Certification exams must be purchased separately with Self-Paced version.
- SAS Big Data Preparation, Statistics and Visual Exploration
- SAS Big Data Programming and Loading
- Predictive Modeling Using SAS Enterprise Miner 14
*Note: Passing this exam earns you an additional certification credential — SAS Certified Predictive Modeler Using SAS Enterprise Miner 14.
- SAS Advanced Predictive Modeling
- SAS Text Analytics, Time Series, Experimentation and Optimization
Already have these skills? You can take the exams without completing the coursework. Get details – including test dates, locations and fees – using the exam links above.
What’s included with the self-paced e-learning program annual license?
SAS Certified Data Scientist self-paced e-learning program includes:
- 294 e-Learning hours
- 200 Virtual Lab hours
Please note that the self-paced program format requires you to purchase certification exams and practice exams separately.
License duration for the program: 365 days.
Are practice exams available?
Yes! Students in the self-paced format can purchase practice exams from Pearson Vue.
How do I access SAS software?
Access to SAS software is included. Students can purchase additional lab time if needed.
How long will it take to complete the program?
If you dedicate 8-10 hours per week, you can complete the program in 12 months. View the recommended study time.
What are the system requirements for participating in the self-paced program?
View the e-Learning system requirements.