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Data Science and Data Analytics
Data for impact
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certificate Description
Data analysis tops the list of digital skills that U.S. professionals would like to gain this year.
— LinkedIn Workforce Confidence Survey, May 2023
Learn the language of data
The industry of business intelligence and analytics has undergone major shifts in fundamental technologies. The UCSC Extension certificate program in Data Science and Data Analytics offers training for data scientists, analysts, administrators, and managers who want to apply analytics to business decision-making.
Choose between two data emphases
Track 1: Data Science
A comprehensive introduction for students wishing to pursue or enhance their careers in the growing field of data science and analytics.
Track 2: Data Engineering
Designed for enterprise data professionals who are involved in designing, administering and using shared databases in a Big Data environment.
Two specializations for the Data Science Data Analytics industry
Program Overview
Estimated Cost: $5,230–$6,000 + Estimated Course Materials: $500 (You pay only for courses you enroll in.) | International Tuition Cost
Program Requirements: 6 courses (16 quarter units). Take 2 required courses (6 quarter units) and 4 elective courses (minimum 10 quarter units). End with certificate of completion review.
Minimum Hours of Instruction: Minimum 160 hours of instruction.
Estimated Duration: A full-time student can complete the certificate in 9–12 months.
Modality: You can complete this program fully online, in person, or choose a mix of course formats.
Courses
1. Required Course(s): Track 1 - Data Science
2. Electives: Track 1 - Data Science
3. Required Course(s): Track 2 - Data Engineering
4. Electives: Track 2 - Data Engineering
5. Completion Review:
Meet Our Instructors
What students are saying
Certificate Inquiry Form
Recommended Course Sequence
The sequence may vary based on student background and professional interest. Choose one of the two specialized tracks—Track 1: Data Science or Track 2: Data Engineering
Substitutions
Shared credits
Some Engineering and Technology courses may be listed in more than one program. However, only one course may be shared between two E&T certificate programs unless otherwise noted.
To receive your certificate
Upon completion of the course sequence, you may request your Certificate Completion Review.
Requisite Knowledge
Please review the course descriptions to ensure that you have taken necessary prerequisites or meet the requirements through job experience or previous education. You can learn more about each course in the Syllabus Library.
Advisory Board
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Certificate Program Chair
PARTHASARATHY PADMANABHAN, M.B.A., is a principal software engineer at one of Silicon Valley’s leading technology companies. He has more than 25 years of experience in information technology and has worked in data modeling for more than 10 years. He teaches "Data Modeling for Relational Databases," and "Data Visualization & Data Analysis" and began serving as chair of the Data Science and Data Analytics Advisory Board in 2020.
Certificate Program Advisory Committee
PIYUSH BHARGAVA, MS
Senior Director in Data & Analytics, DocuSign
Former Distinguished Engineer, Cisco
CHING-FONG "CF" SU, PhD, MS
Vice President of Machine Learning, Hyperscience
LISE GETOOR, PhD, MS
Professor, Computer Science and Engineering Department | Center Director, D3 Data Science Research Center
University of California, Santa Cruz
ASHISH GUPTA, MS, BTech
Principal Engineer, NetsKope
HIEN LUU, MS, BSEE
Head of Machine Learning Infrastructure, Zoox
Chair AI Business Practices and Instructor, Data Science and Data Analysis Certificate Program
RAMA ORUGANTI, MCA
Senior Director of Data & Analytics, Cisco
ARMEN PISCHDOTCHIAN, MBA, MA, BA
Adjunct Professor | Wentworth Institute of Technology & University of the Cumberlands
RAQUEL PRADO, PhD
Professor, Statistics Department, University of California, Santa Cruz
Establish Candidacy
Grade Requirements
Please note that only letter grades of C or higher may be applied to a certificate, and in some programs, students may have more stringent requirements. Students in most employer- and government-sponsored payment programs, such as workforce development, as well as international students on F-1 visas, need to maintain a B average to meet their requirements.
See Grading and Credits Policy for further information.