Data mining and predictive models are at the heart of successful information and product search, automated merchandizing, smart personalization, dynamic pricing, social network analysis, genetics, proteomics, and many other technology-based solutions to important problems in business.
The Data Mining and Applications graduate certificate introduces many of the important new ideas in data mining and machine learning, explains them in a statistical framework, and describes some of their applications to business, science, and technology.
You Will Learn
- Use statistical methods to extract meaning from large datasets
- Develop and use predictive models and analytics
- Understand and use strategic decision-making applications
Plan your Data Mining and Applications Graduate Certificate road-map
The certificate is designed to be completed in nine months, but you may take up to three years to complete it. Courses are available during Autumn, Winter, Spring and Summer quarters:
- Autumn Quarter: STATS191, STATS202
- Winter Quarter: STATS216, STATS290
- Spring Quarter: STATS315B
- Summer Quarter: STATS216V
Note: Course offerings may be subject to change. You do not need to enroll in the certificate to take the courses. You may enroll in any courses if you meet its prerequisites.
Who Should Apply
- Strategy managers
- Scientific researchers
- Medical researchers
- Social sciences researchers
- Data analysts and consultants
- Advertising and Marketing professionals
Earning the Certificate
Students are required to take either STATS202 or STATS216 as their first course, completing with a B+ or better before moving on to the remaining courses. All other courses must be completed with a B or better to earn the certificate award.
- Begin your certificate by taking STATS202 or STATS216 and receive a grade of B+ or better to continue the program, subject to prerequisites
- Take all courses for graduate credit and a grade
- Courses must be taken for 3 units of credit to qualify for certificate application
- Introductory courses in each of the three following areas: statistics or probability, linear algebra, computer programming (E.g. STATS 60, MATH 51, CS 105 or equivalent.)
- A conferred Bachelor’s degree with an undergraduate GPA of 3.5 or better.
To pursue a graduate certificate you need to apply.
Tuition is based on the number of units you take. See Graduate Course Tuition on our Tuition & Fees page for more information.
Time to Complete Certificate
1-2 years average
3 years maximum to complete
Submit an inquiry to receive more information.