Database and Data Analytics
Certificate Program

Database and Data Analytics

Data for impact

Enroll in Certificate View Individual Courses

Certificate Description


Help build the data-driven businesses of tomorrow

Understand, manage, and analyze the data that is driving business and innovation. We offer database training and data analytics course sequences to prepare you for a career in big data or database management. Work with algorithms, tools, frameworks, and best practices in managing big data and performing data mining. Here’s where the data analyst, data scientist or data engineers find their secret powers to soar through today’s data explosion and discover valuable business intelligence.


Required Credits: Total Required: 5–7 courses/14 units. Take 1 required course (3 units) and 4–6 elective credit courses (11 units). 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. CORE COURSES (Choose one)
Data Analysis, Introduction 3.0 Spring TBD
Relational Database Design and SQL Programming 3.0 Spring TBD
2. ELECTIVE COURSES: DATA ANALYSIS
Big Data: Overview, Tools and Use Cases 3.0 Spring TBD
Business Intelligence Solutions 2.0 Spring TBD
Dashboards and Data Visualization 3.0
Data Analysis, Introduction 3.0 Spring TBD
Data Modeling, Introduction 2.0
MySQL and Oracle Database for Developers and Designers 2.0
NoSQL Databases, Introduction 3.0 Spring TBD
Python for Data Analysis 3.0 Spring TBD
Relational Database Design and SQL Programming 3.0 Spring TBD
3. ELECTIVE COURSES: DATA SCIENCE
AI-Led Enterprise Transformation: Technologies and Use Cases 0.5 Spring TBD
Big Data: Overview, Tools and Use Cases 3.0 Spring TBD
Deep Learning and Artificial Intelligence with TensorFlow and Keras 3.0 Spring TBD
Introduction to Machine Learning and Data Mining 3.0 Spring TBD
Predictive Analytics: Applications of Machine Learning 3.0 Spring TBD
Python for Machine Learning and Artificial Intelligence, Essentials 3.0
Reinforcement Learning and Advanced Topics in AI 3.0 Spring TBD
4. ELECTIVE COURSES: DATA ENGINEERING
Apache Spark with Scala, Introduction 3.0 Spring TBD
Big Data: Overview, Tools and Use Cases 3.0 Spring TBD
Cloud-Based Web Application Development using Linux 3.0 Spring TBD
Designing Big Data Applications - Foundations 3.0 Spring TBD
Designing, Building and Integrating RESTful API 2.0
The Internet of Things: Big Data Processing and Analytics 3.0 Spring TBD
5. ELECTIVE COURSES: RELATED ELECTIVES
Java Programming, Comprehensive 3.0 Spring TBD
Java Programming for Beginners 2.0 Spring TBD Summer TBD
Python for Machine Learning and Artificial Intelligence, Essentials 3.0
Python for Programmers 3.0 Spring TBD
Python Programming for Beginners 1.5 Spring TBD
XML Essentials 2.0
6. REQUIRED CERTIFICATE REVIEW
Database and Data Analytics Certificate Completion Fee None
7. Non-Credit / Also of Interest
Deep Reinforcement Learning 3.0 CEU's Spring TBD
Natural Language Processing 3.0 CEU's
The Business of AI 1.5 CEU's

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

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

PARTHASARATHY PADMANABHAN, MBA
TitleIT Architect- Enterprise Data Warehouse
Cisco Systems

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

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

Declaring Candidacy

You can enroll in a certificate program any time during your studies.

Once you create your student account, you can enroll in a certificate program. Although you can enroll in a program at any time, the benefit of enrolling early is that it locks in your certificate requirements. This means that even if program requirements change, the requirements to complete your certificate will remain the same for you.

  • You must enroll in the certificate program before enrolling in the Certificate Completion Review.

You have a total of five years to complete all necessary courses in a certificate program.

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

  • 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.

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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