certificate

Data Science with Concentration in Cybersecurity

Learn how to harness the power of big data and protect technological infrastructures in this nine-course certificate program. Formats: Online | In-Person

SEE COURSES IN THIS PROGRAM

This program is perfect for...

Multidisciplinary professionals seeking to learn or enhance data analytics skills
IT professionals expanding their areas of expertise to include cybersecurity
Aspiring data scientists looking to build skills in data management, visualization, and programming
International students aiming to maintain full-time status while learning in-demand skills in technical fields
Tech workers interested in learning about infrastructure, securing networks, and defending against cyberattacks

What you can learn.

Learn foundational tools and techniques for analyzing data, delivering insights, and building forecasting models
Gain expertise in Python, exploratory data analysis (EDA), and advanced data visualization, using R and Tableau
Understand the management of big data, types of NoSQL data stores, and the Hadoop ecosystem
Discover how to create security policies, risk assessments, disaster recovery plans, and post-attack protocols and procedures
Explore concepts needed for the CompTIASecurity+ and other certifications
Get hands-on experience with OSI stack security, hacking methodology and mitigation, penetration testing, and defensive strategies

Data fundamentals and protection.

person-in-front-of computer-with-another-person-in-background-on-computer

Build the foundation for a career in data science while developing complementary skills for mitigating cybersecurity risks. Learn big data management, programming, and analysis, as well as how to protect and defend against cyberattacks.

The UCLA Extension Certificate in Data Science with Concentration in Cybersecurity was created to offer skills from two in-demand specialties in one combined environment.

Formats: Online or In-Person
Duration: 3 quarters full-time; 2 years part-time

International Students

This certificate is approved for international students (F-1 student visa).

Students participating in courses offered solely by UCLA Extension must meet the English Language Requirements outlined below. Any international student interested in taking classes on UCLA’s main campus must adhere to the English Requirements outlined for UCLA courses.

Acceptable tests and minimum scores

Scores that are equal to or higher than the listed minimum scores from the following tests, taken within the past two years, can satisfy the English proficiency requirement.

TOEFL: 80 (iBT)
IELTS: 6.5
iTEP: 4.5
CAE: B (CEFR C1)
CPE: C (CEFR C2)
TOEIC: 685
DUOLINGO (DET): 105

While no other type of test score is accepted in general, students who are affected by test center closures may request an exception to submit an alternate test score.

International Baccalaureates (IB) students or students currently enrolled in an academic institution where the primary language of instruction is English may submit an official academic transcript or verification of enrollment from their school as proof of English proficiency.

Learn more:

International Students: How to Apply

Academic Requirements & English Language Proficiency

Courses

Click below to view the required and elective courses, if applicable, for this program.

Required (9)

Required Courses

Introduction to Data Science

COM SCI X 450.1

Typically Offered: Fall, Winter, Spring, Summer

Exploratory Data Analysis and Visualization

COM SCI X 450.2

Typically Offered: Fall, Winter, Spring, Summer

Big Data Management

COM SCI X 450.3

Typically Offered: Fall, Winter, Spring, Summer

Fundamentals of Cybersecurity

COM SCI X 420.1

Typically Offered: Fall, Winter, Spring, Summer

Information Systems Infrastructure Security Management

COM SCI X 420.3

Network, Operating System and Database Security

COM SCI X 420.5

Typically Offered: Fall, Winter, Spring, Summer

Cybersecurity Lab (Defensive Tools)

COM SCI X 420.9

Cybersecurity Lab (Offensive Tools)

COM SCI X 420.8

Machine Learning Course

Students must complete one of the following courses.

Machine Learning Using Python

COM SCI X 450.4

Typically Offered: Fall, Winter, Spring, Summer

Machine Learning Using R

COM SCI X 450.41

Estimated Cost Breakdown

All courses in this program are paid for individually, unless otherwise noted. An application form is required to establish candidacy in this program. From the 'Apply Now' button, complete the online application and pay the application fee if applicable.

Application & Candidacy Fee

200.00

Estimated Program Tuition

9855.00

Estimated program textbook/materials

1000.00

Apply Now

*The Application & Candidacy Fee establishes your candidacy in the program for a period of time covering normal progress toward completion and may allow you to access a variety of program benefits.

Internships
Available

Approved for
International Visa

VA Benefit
Eligible

Federal
Financial Aid

**Federal Financial Aid Gainful Employment Disclosures

The U.S. Department of Education requires colleges and universities to disclose certain information for any financial aid eligible program that, “prepares students for gainful employment in a recognized occupation”. This information includes program costs; occupations that the program prepares students to enter; occupational profiles; on time completion rate; and for the most recent award year: the number of students who have completed the program, the number of students who complete the program within the estimated duration, the job placement rate, and the median Title IV and private loan debt incurred by those who complete the program. For gainful employment information for this program, visit our Financial Aid page.