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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.

Career Insight

Occupational summary for computer and information research scientists.

30,564
Jobs
(2018)
18.7%
Projected Growth
(2018-2028)
$89k-$146k
Annual Salary
(25th-75th Percentile)

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

Course Schedule

Required Courses

TitleWinterSpringSummerFall
I&C SCI X426.60
Introduction to Data Science (3.00 Units)
I&C SCI X426.60
Online to be scheduled to be scheduled OnlineOnline
I&C SCI X426.61
Data Exploration, Analytics and Visualization (3.00 Units)
I&C SCI X426.61
Online to be scheduled to be scheduled Online

Elective Courses

TitleWinterSpringSummerFall
Data Science
I&C SCI X414.33
Math Review for Data Science and Analytics (2.50 Units)
I&C SCI X414.33
    to be scheduled Online
I&C SCI X425.18
Hadoop: In Theory and Practice (3.00 Units)
I&C SCI X425.18
Online      
I&C SCI X425.80
Introduction to Big Data (2.00 Units)
I&C SCI X425.80
  to be scheduled   Online
I&C SCI X425.63
Effective Data Preparation (2.00 Units)
I&C SCI X425.63
Online to be scheduled   Online
I&C SCI X426.64
Introduction to Python Programming (2.00 Units)
I&C SCI X426.64
Online to be scheduled to be scheduled OnlineOnline
I&C SCI X426.62
Python for Data Analysis (1.50 Units)
I&C SCI X426.62
Online to be scheduled   Online
I&C SCI X425.32
Data Integration, Modeling, and ETL (2.50 Units)
I&C SCI X425.32
Online   to be scheduled  
I&C SCI X425.35
Data Management (2.50 Units)
I&C SCI X425.35
       
I&C SCI X426.75
Tools and Techniques for Machine Learning (2.00 Units)
I&C SCI X426.75
  to be scheduled   Online
I&C SCI X425.20
R Programming (2.00 Units)
I&C SCI X425.20
  to be scheduled   Online
I&C SCI X427.01
Business Intelligence & The Data warehouse Development Process (2.50 Units)
I&C SCI X427.01
  to be scheduled   Online

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

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Certificate Eligibility and Requirements

A certificate is awarded upon completion of 15 credit units (6 required and 9 elective credit units) with a grade of “C” or higher in each course.

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.

To become an official candidate in the program, students pursuing the certificate must submit a Declaration of Candidacy with a non-refundable $125 application fee. Students are encouraged to declare candidacy as soon as possible, but no later than after the third course in the program. To receive the certificate after completing all program requirements, students must submit a Request for Certificate. All requirements must be completed within five (5) years after the student enrolls in his/her first course. Students not pursuing a certificate are welcome to take as many individual courses as they wish.

Presented in partnership with:
Predictive Analytics World
Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners.
Learn More

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

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.