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Database and Data Analytics
Certificate Program

Database and Data Analytics

Data for impact

Establish Candidacy View Individual Courses

Certificate Description

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 Database 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 of study

    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.

Database and Data Analytics certificate program objectives

  • Apply principles of data science in solving problems centered around Big Data
  • Obtain, manipulate, analyze, and visualize volumes of data that drive many fields, such as business and innovation, bioinformatics, weather forecasting, and healthcare
  • Identify and use appropriate data models in solving real-world problems

Our Database and Data Analytics students

  • Data analysts, data scientists, and data engineers who want to develop their Big Data and database management skills
  • Entry-level professionals or career changers.
  • Database management professionals who want Big Data or database management training
  • Professionals interested in managing Big Data or database management projects and need to understand how to successfully communicate Big Data or database management concepts with data specialists—analysts, scientists, or engineers.
  • People interested in making better data-driven decisions to grow their business and apply solutions in their personal lives.
Estimated Cost (You pay only for courses you enroll in): $5,500–$6,500 | International Tuition Cost
Required Credits: Complete 6 courses (16 units). Choose a track and complete 6 units of required courses and 10 units of electives. At least 3 electives must be from the selected track. End with certificate of completion review.
Duration: A full-time student can complete the certificate in 9–12 months.

Courses

Course Units Fall Winter Spring Summer
1. Required Course(s): Track 1 - Data Science
Big Data: Overview, Tools and Use Cases 3.0 Winter Flexible Spring Flexible
Data Analysis, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible
2. Electives: Track 1 - Data Science
Business Intelligence Solutions 2.0
Dashboards and Data Visualization 3.0 Winter Flexible
Data Modeling, Introduction 2.0
Deep Learning and Artificial Intelligence with TensorFlow and Keras 3.0
Introduction to Machine Learning 3.0 Winter Flexible Spring Flexible
Predictive Analytics: Applications of Machine Learning 3.0
Python for Data Analysis 3.0
Python for Machine Learning and Artificial Intelligence, Essentials 3.0 Winter Flexible
Relational Database Design and SQL Programming 3.0 Fall Flexible Spring Flexible
3. Required Course(s): Track 2 - Data Engineering
Big Data: Overview, Tools and Use Cases 3.0 Winter Flexible Spring Flexible
Relational Database Design and SQL Programming 3.0 Fall Flexible Spring Flexible
4. Electives: Track 2 - Data Engineering
AI-Led Enterprise Transformation: Technologies and Use Cases 0.5 Spring Flexible
Apache Spark with Scala, Introduction 3.0
Data Analysis, Introduction 3.0 Fall Flexible Winter Flexible Spring Flexible
Data Engineering with Hadoop 3.0
MySQL and Oracle Database for Developers and Designers 2.0 Spring Flexible
NoSQL Databases, Introduction 3.0 Fall Flexible Spring Flexible
Python for Data Analysis 3.0
The Internet of Things: Big Data Processing and Analytics 3.0 Spring Flexible
5. Completion Review:
Database and Data Analytics Certificate Completion Fee None

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.

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 Database 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
Engineering Manager
LinkedIn

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

PARTHASARATHY PADMANABHAN, MBA
TitleIT Architect- Enterprise Data Warehouse
Cisco

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

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

Establish Candidacy

Establish candidacy in a certificate or specialization

Once you create your student account, you can establish candidacy in a certificate or specialization program any time during your studies.

The benefits of enrolling early
  • Lock in your certificate requirements.This means that even if program requirements change, the requirements to complete your certificate will remain the same for you
  • Receive program updates
  • Set your intention
  • It’s free

To complete a program, you must enroll in the certificate program before enrolling in the Certificate Completion Review.

You have five years to complete all necessary courses in a certificate program or three years to finish up a specialization program.

All the necessary units in a certificate must be completed within this 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, 2017, you would have to complete all of the required units in this certificate by Sept. 4, 2022.

Note:

Enrolling in a certificate program does not trigger the beginning of the five-year window. It begins the first day of the first course that applies to a certificate program. The Certificate Completion Review process does not have to occur within the five-year timeframe.

For more information: How do I get my certificate or specialization?

* Students participating in a special program, such as workforce, international, Personal Financial Planning, or curriculum partner programs (Udacity, Microfacturing Institutes) may have a shorter completion requirement.

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.

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