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Data Science

Projected outlook for some certified Data Science experts:

104,100Number of Jobs, 2020

$82,360Median Pay per year, 2021

25%Job Growth, 2020-2030

*U.S. Department of Labor, Bureau of Labor Statistics, Occupational Outlook Handbook – Operations Research Analysts

Earn A CSUF Data Science Certificate in 9 Months

Earn your data science certification in 9 months. This program is ideal for a range of analysts, scientists and engineers.

CSUF Science Program Benefits:

You Will:

  • Learn the fundamentals of statistics and computer science.
  • Understand how organizations use data to be successful.
  • Master the data-analytics project lifecycle.
  • Apply various statistical-analysis and modelling tools.
  • Translate business challenges into analytical frameworks.
  • Present data results.

Ideal for:

  • Data analysts who want to move beyond using basic analysis tools.
  • Computer scientists and statisticians who want to lead data-science projects.
  • Graduates of math, statistics, computer engineering or natural sciences.
  • Professional analysts who want to advance their skills.
  • Managers looking to enhance business performance.

Program Stats:

  • Five required courses (90 hours of lecture and discussion)
  • 9 months long
  • 100% online
  • 9 continuing education units (CEUs)
For optimal viewing of the course schedule below, please view on a tablet or desktop
Please note: Note: Click on the course title to view all available course sections. Hover over the colored labels to view where the course will be offered.
Course Title
Winter / Spring 2024

Upon completion of the certificate program, graduates will be able to:

1. Articulate how today's organizations are using data to gain strategic business advantage.
2. Understand how businesses are adapting to compete in today's data driven world and the types of tools, technology, processes, and people needed.
3. Identify new career opportunities and how to use knowledge of statistical and data sciences to evolve in current workplace settings, or for career advancement.
4. Understand the complete data analysis project lifecycle: from retrieving data, validating and preparing data for analysis, finding anomalies, performing statistical analyses, building descriptive and predictive models, to presenting and communicating findings.
5. Understand the tools companies are using to acquire, store, and process data.
6. Formally form a hypothesis and identify a statistical procedure appropriate to determine if there is statistical evidence to support the hypothesis.
7. Be able to build a statistical model to identify the most important factors that influence an outcome, describe relationships among variables, and use a statistical model to make predictions and quantify the statistical uncertainty.

- Professionals interested in learning how to leverage data for better decision making.
- Data analysts who wish to move beyond using basic analysis tools.
- Decision makers who want to understand how data can better inform their efforts.
- Computer scientists and statisticians who wish to take a lead role in data science projects.
- Graduates with degrees in math, statistics, computer engineering and natural sciences who wish to enter the data science field.
- Professional analysts (e.g., financial analysts, business analysts, systems analysts) who wish to advance their skills in data science.
- Managers who wish to utilize data science to enhance business performance.

There are no prerequisites for admittance to this program which is intended for participants who have an interest in learning how to analyze and better understand data. It is recommended that students have a bachelor's degree with some college level course work in statistics or mathematics or have some basic programming experience.

Avram Aelony
Data Scientist- BeachMint
Rahul Bhaskar
Faculty- Department of Information Systems/Decision Science, California State University, Fullerton
Gulhan Bourget
Assistant Professor- Department of Mathematics, California State University, Fullerton
Tom Deutsch
Program Director- Information Management, Big Data and Advanced Analytics IBM
Alicia Fan
Program Developer- University Extended Education California State University, Fullerton
David Kale
Co-founder and Data Scientist, Podimetrics
Kari A Knutson Miller
Associate Vice President- International Programs, Dean- University Extended Education California State University, Fullerton
Yasmin Lucero
Senior Statistician- Gravity.com
Kevin J Potcner
Director of Consulting- Minitab, Inc.
Ryan Swanstrom
Data Analyst/Developer- Wells Fargo
Yun Tian
Assistant Professor- Department of Computer Science, California State University, Fullerton
Shelly Wang
Manager- Program Development, University Extended Education California State University, Fullerton

Program Details

Location: Online, Weekly modules
Length: 9 months
Cost: $4,230*
Next Start: Fall 2023

*Cost is approximate and subject to change.

View Schedule

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Non-California Residents

It is recommended that participants who reside outside of United States and whose first language is not English must possess English language proficiency equivalent to a minimum TOEFL score of 550 (paper), 80 (iBT) or IELTS score of 6.5.

It is the participantís responsibility to demonstrate English language proficiency necessary to fully participate in the class lectures and discussions.

Professional Licensure and Certification

*Have a question? Please contact us.