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Data Science

Overview

The demand for data practitioners has increased dramatically over the past few years. Data Science is continually ranked as one of the most in demand professions and the need for skilled professionals to manage and leverage insights from data is clearer than ever before. The curriculum taught in this Data Science Certificate Program is designed to meet the expanding needs for data professionals at all levels.

This program covers a wide array of topics in data science including data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python, and machine learning.

Who Should Enroll

This program is intended for professionals in a variety of industries and job functions who are looking to help their organization understand and leverage the massive amounts of diverse data they collect. Others who would benefit from this program include: data engineers, data analysts, computer scientists, business analysts, database administrators, researchers, and statisticians.

Program Benefits

  • Learn from industry experts how to utilize a combination of science, art & business techniques to deliver new insights and competitive intelligence
  • Describe the phases of the analytics lifecycle
  • Utilize a variety of statistical and computer science tools and techniques to analyze data
  • Describe and use the typical tools and technologies required to model and analyze large (big) datasets
  • Explain the use of typical tools to explore data (R, STATISTICA, Hadoop, etc.)
  • Utilize an inquisitive “hacker” mentality to uncover new meaning from existing data
  • Effectively design, model and manage databases
  • Describe and utilize unstructured and structured data sets leveraging text analytics tools.
  • Define requirements, develop an architecture, and implement a data warehouse plan
Program graduate Priji Eapen shares his experience completing the certificate and advancing his career.

Course Schedule

Prerequisite Courses

TitleWinterSpringSummerFall
I&C SCI X426.64
Introduction to Python Programming (2.00 Units)
I&C SCI X426.64
Online Remote to be scheduled to be scheduled
I&C SCI X425.99
Practical Math & Statistics for Data Science (2.50 Units)
I&C SCI X425.99
Remote Remote to be scheduled to be scheduled

Required Courses

TitleWinterSpringSummerFall
I&C SCI X427.05
Fundamentals of Data Science (2.50 Units)
I&C SCI X427.05
Remote Remote to be scheduled to be scheduled
I&C SCI X427.06
Data Engineering (2.50 Units)
I&C SCI X427.06
Remote   to be scheduled  
I&C SCI X427.07
Big Data Analysis (2.50 Units)
I&C SCI X427.07
  Remote   to be scheduled
I&C SCI X427.18
Advanced Visualization (2.50 Units)
I&C SCI X427.18
Remote   to be scheduled  
I&C SCI X426.73
Introduction to Machine Learning & AI (2.50 Units)
I&C SCI X426.73
Remote Remote to be scheduled to be scheduled

Elective Courses

TitleWinterSpringSummerFall
Data Science 2
I&C SCI X427.19
R Basics (2.50 Units)
I&C SCI X427.19
Remote      
I&C SCI X450.72
Introduction to SQL Programming (2.50 Units)
I&C SCI X450.72
Online   to be scheduled to be scheduled
I&C SCI X460.51
Cloud Computing Essentials (2.50 Units)
I&C SCI X460.51
      to be scheduled
I&C SCI X427.12
Python for Data Analysis (2.00 Units)
I&C SCI X427.12
  Remote   to be scheduled
I&C SCI X426.54
Data Preparation, Modeling and Visualization with Python (2.00 Units)
I&C SCI X426.54
  Remote   to be scheduled
i&C SCI X425.32
Data Integration, Modeling, and ETL (2.50 Units)
i&C SCI X425.32
Online   to be scheduled  

Course schedules are subject to change. Individual courses may be taken without enrolling in the full program.

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Academic Calendar

Event Winter 2024 Spring 2024 Summer 2024 Fall 2024
Registration Begins (after 2pm PT) Oct 19 Jan 18 Apr 18 Jul 11
Courses Begin* (week of) Jan 8 Apr 1 Jun 24 Sep 23
Courses End* (week of) Mar 18 Jun 10 Sep 9 Dec 9
Administrative Holidays Jan 15, Feb 19 Mar 29, May 27 Jun 19, Jul 4, Sep 2 Nov 11, Nov 28-29, Dec 24-25, Dec 31, Jan 1

*Actual dates may vary by program.

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Learn How To Earn Your Certificate

Earn a Certificate

Apply to become a candidate for the program: A Declaration of Candidacy is required to establish candidacy in this program. Complete the application and pay the application and candidacy fee of $125 (non-refundable). Learn more about the benefits of becoming a candidate. Candidacy is not required to enroll into individual course in a program.

A candidate in the program is awarded a certificate upon the successful completion of five (5) required courses and elective courses totaling 15 units, each with a letter grade of “C” or better. All requirements must be completed within five (5) years after the student enrolls in their first course. To receive the Certified Digital Certificate after the completing all the program requirements, students must submit the Request for Certificate to initiate the certificate audit process. Students not pursuing the certificate are welcome to take as many individual courses as they wish.

Some courses may be listed as electives in multiple certificates, students may use a maximum of two courses to fulfill a certificate requirement between two programs.

Advisory Committee

  • Dean Abbott, President, Abbott Analytics
  • John Elder, Ph.D., Chief Scientist, Elder Research
  • Bernie Jeltema, Principal Consultant, Strategic Frameworks, Inc.
  • Derrick Lam, MBA, Database Administrator, UCI Division of Continuing Education Instructor
  • Amit Manghani, Senior Director of Product Management, Oracle
  • Gary Miner, Ph.D., Senior Consultant/Statistician, Statsoft
  • Bob Nisbet, Ph.D., Consulting Data Scientist
  • Eric Siegel, Ph.D., Chair, Predictive Analytics World
  • Jim Sterne, President, Target Marketing, Chairman, Digital Analytics Association, Founder, eMetrics Marketing Optimization Summit
  • James Taylor, CEO, Decision Management Solutions

Career Advancement Network (CAN)

We are proud to provide our certificate students and alumni with newly enhanced career services that include one-on-one coaching, technology tools, webinars and workshops, networking events, mentorship/internship opportunities, and a rich collection of free online career resources. Learn more.

On-site Training Available

Our Corporate Training specialists can deliver this program or customize one that fits your organization’s specific needs. Visit Corporate Training or call (949) 824-1847 for information.

English Proficiency Requirement
All certificate programs at UCI Division of Continuing Education (classroom and online formats) require professional-level English language proficiency in listening and note-taking, reading comprehension and vocabulary, written expression, and oral presentation.

Data Science Program Information Session
Recorded 2/11/21
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