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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.

— 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.

See the Syllabus Library for Course Details

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: $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.
Special Programs: This program is approved for workforce and international students.
International Logo Workforce Logo

Courses

Syllabus Library Detail View
Course Quarter Units Fall Winter Spring Summer
1. Required Course(s): Track 1 - Data Science
Big Data, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
Data Analysis, Introduction 3.0 Fall Flexible Winter Flexible Summer Flexible
2. Electives: Track 1 - Data Science
Business Intelligence Solutions 3.0 Fall Flexible
Dashboards and Data Visualization 3.0 Winter Flexible Summer Flexible
Data Modeling, Introduction 2.0
Deep Learning and Artificial Intelligence 3.0 Winter Flexible Spring Flexible Summer Flexible
Introduction to Machine Learning 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
Python for Data Analysis 3.0 Summer Flexible
Python for Machine Learning 3.0 Fall Flexible 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 Winter 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 Summer Flexible
Hands-On Data Engineering 3.0
MySQL and Oracle Database for Developers and Designers 2.0 Fall Flexible
NoSQL Databases, Introduction 3.0 Fall Flexible Spring Flexible
Python for Data Analysis 3.0 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

Chinnu Pittapally

Machine Learning & Natural Language Processing Research Engineer, Raytheon
Hinkmond Wong

Hinkmond Wong

Principal Software Engineer
Jeffrey S Miller

Jeffrey S Miller

Technical Lead | Full Stack Developer, Insight Global
Marilson B Campos

Marilson B Campos

Senior Staff Engineer - ML Platform, Apixio
Michelle C Rosenaur

Michelle C Rosenaur

Technology Trainer
Mohammad Naveed

Mohammad Naveed

Senior Director of Engineering, Reltio
Parthasarathy M Padmanabhan

Parthasarathy M Padmanabhan

Data Engineering Lead, New Relic | Program Chair
Raghav Vinjamuri

Raghav Vinjamuri

Independent Computer Software Professional
No image for Ravikumar Nandagopalan

Ravikumar Nandagopalan

Enterprise Data Architect/Senior Consultant, Cisco
Ruth A Arthur-Asmah

Ruth A Arthur-Asmah

Sr. Manager, Digital Health, Nordic Global
Sara Saatchi

Sara Saatchi

Professor
Satyen Kansara

Satyen Kansara

Head of Data and Visualization, Illumio
Shashidhar Sathyanarayana

Shashidhar Sathyanarayana

Founder and CEO, Numeric Insight | Machine Learning Specialist
Sivakumar Mallari

Sivakumar Mallari

Principle Data Architect, Infoblox
Venkat R Mavram

Venkat R Mavram

Director of Engineering
Xi "Bill" Chen

Xi "Bill" Chen

Senior Software Engineer, Meta
Zara Hajihashemi

Zara Hajihashemi

Founder and CEO, Cybele Health

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
Program: Data Science and Data Analytics

Certificate Inquiry Form

Contact Us

Speak to a student services representative.

Call (408) 861-3860

Envelope extension@ucsc.edu

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

padmanabhan-partha_ucsc-extension-data-analysis-2020.jpg

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

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

CHING-FONG "CF" SU, PhD, MS
Director of Engineering, Machine Learning, Quora

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
Senior Staff Engineer, LinkedIn

HIEN LUU, MS, BSEE
Senior Engineering Manager, DoorDash
Instructor, Data Science and Data Analysis Certificate Program

RAMA ORUGANTI, MCA
Principal Engineer in the Data & Analytics organization, Cisco

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

ARMEN PISCHDOTCHIAN, MBA, MA, BA
Academic Mentor, IBM Watson Solutions

RAQUEL PRADO, PhD
Professor, Statistics Department, University of California, Santa Cruz

Establish Candidacy

Steps for Establishing Candidacy

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.