Data Science and Data Analytics
Certificate Program

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.

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

Data_Science_Specialization: person's hands typing at a keyboard and a monitor of data images
Data Science (9 units)
Data Engineering Specialization - A hand surrounded by images of technology
Data Engineering (8 units)

Program Overview

Estimated Cost: Track 1 starts at $5,750. | Track 2 starts at $5,230. (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.
Special Programs: This program is approved for workforce and international students.
International Logo Workforce Logo


Course Quarter Units Fall Winter Spring Summer
1. Required Course(s): Track 1 - Data Science
Big Data, Introduction 3.0 Fall Flexible Spring Flexible Summer Flexible
Data Analysis, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
2. Electives: Track 1 - Data Science
Business Intelligence Solutions 3.0 Fall Flexible Spring Flexible
Dashboards and Data Visualization 3.0 Winter Flexible Summer Flexible
Data Modeling, Introduction 2.0
Deep Learning and Artificial Intelligence 3.0 Summer Flexible
Introduction to Machine Learning 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
Python for Data Analysis 3.0 Spring Flexible Summer Flexible
Python for Machine Learning 3.0 Winter Flexible
Relational Database Design and SQL Programming 3.0 Fall Flexible Winter Flexible Spring Flexible
3. Required Course(s): Track 2 - Data Engineering
Big Data, Introduction 3.0 Fall Flexible Spring Flexible Summer Flexible
Relational Database Design and SQL Programming 3.0 Fall Flexible Winter Flexible Spring Flexible
4. Electives: Track 2 - Data Engineering
Data Analysis, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
Hands-On Data Engineering 3.0
MySQL and Oracle Database for Developers and Designers 2.0 Spring Flexible
NoSQL Databases, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible
Python for Data Analysis 3.0 Spring Flexible Summer Flexible
The Internet of Things: Big Data Processing and Analytics 3.0
5. Completion Review:
Data Science and Data Analytics Certificate Completion Fee None

Meet Our Instructors

Chinnu Pittapally
Machine Learning & Natural Language Processing Research Engineer, Raytheon
Hinkmond Wong
Principal Software Engineer
Marilson B Campos
Senior Staff Engineer - ML Platform, Apixio
Michelle C Rosenaur
Technology Trainer
Mohammad Naveed
Senior Director of Engineering, Reltio
Oswald A Campesato
Founder, iQuarkt and AI Adjunct Professor
Parthasarathy M Padmanabhan
Data Engineering Lead, New Relic | Program Chair
Raghav Vinjamuri
Independent Computer Software Professional | Linux Program Chair
Ruth A Arthur-Asmah
Sr. Manager, Digital Health, Nordic Global
Sara Saatchi
Satyen Kansara
Head of Data and Visualization, Illumio
Shashidhar Sathyanarayana
Founder and CEO, Numeric Insight | Machine Learning Specialist
Sivakumar Mallari
Principle Data Architect, Infoblox
Venkat R Mavram
Director of Engineering
Xi "Bill" Chen
Senior Software Engineer, Meta

What students are saying

"It was pretty deep and the assignments were demanding so I had to work hard to get the point."
— Renato Roschel Ribeiro, MBA     International Student Director of Digital & Analytics | Data Analytics Professor
Renato Roschel Ribeiro, MBA

Certificate Inquiry Form

Contact Us
Speak to a student services representative.

Call (408) 861-3860


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


Certificate Program Chair

PARTHASARATHY PADMANABHAN, M.B.A., is a data architect at one of Silicon Valley’s leading technology companies. Padmanabhan 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

Senior Director in Data & Analytics Organization
Former Distinguished Engineer, Cisco

Director of Engineering, Machine Learning, Quora

Professor, Computer Science and Engineering Department | Center Director, D3 Data Science Research Center
University of California, Santa Cruz

Senior Staff Engineer, LinkedIn

Senior Engineering Manager, DoorDash
Instructor, Data Science and Data Analysis Certificate Program

Principal Engineer in the Data & Analytics organization, Cisco

TitleIT Architect- Enterprise Data Warehouse, Cisco
Chair/Instructor, Data Science and Data Analysis Certificate Program

Academic Mentor, IBM Watson Solutions

Professor, Statistics Department, University of California, Santa Cruz

Establish Candidacy

Who should establish candidacy?

  • People who are pursuing a certificate (and have enrolled in a course in the program).
  • People who want to lock in the current requirements of a certificate or specialization.
4 Simple Steps to a Certificate or Specialization
  1. Complete a course in your selected program.
  2. Establish candidacy. Click on the Establish Candidacy button on your program page.
  3. Take all required courses for certificate completion.
  4. Once your grades are posted on your final course, enroll in the certificate review fee.
A Benefit of Establishing Candidacy

Program requirements may change. Once you commit to a program by establish your candidacy, you will not have to change your plans to meet new requirements. They are locked in for you. Timeline: 4 years to get it done (or 3 for a specialization) You must complete all the necessary units in a certificate within a four-year window. The clock begins on the first day of your first course in the certificate program. For example, if you started a course on Sept. 5, 2023, you would have to finish by Sept. 4, 2027.

Note: Establishing candidacy does not trigger the beginning of the four-year window. It begins the first day of the first course in your chosen certificate program. The Certificate Completion Review process does not have to occur within the four-year timeframe.

Exceptions to the four-year requirement
  • If you Established candidacy prior to Jan. 1, 2024, you will have five years to complete a program.
  • Students participating in a special program, such as workforce, international, or our curriculum partner programs, such as the Legal Studies courses (CLS by Barbri) and sales and business courses (Ziplines Education) have shorter completion requirements.

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. Personal Financial Planning students have additional grade requirements for individual courses to attain a certificate.

See Grading and Credits Policy for further information.