Data Science with Concentration in Cybersecurity Certificate Program

Learn how to harness the power of big data and protect technological infrastructures in this nine-course certificate program.

Courses

9 Required

0 Elective

Methods

Online

F-1 Visa Eligible

Yes

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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.

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

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This certificate is approved for international students to study full time in the U.S. on an F-1 visa.

International students must meet English language proficiency requirements for admission into the program.

While most certificate programs begin each quarter, some have limited intakes for students studying on F-1 visa. Find this program on the Browse Certificate Programs page to confirm entry quarters before applying.

Learn more:

Step 1: Enroll in a Course

Courses in this program are open enrollment and paid for individually. You may take courses without committing to the program.

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Have questions? Talk to an Academic Advisor

Step 2: Become a Candidate

Establish candidacy in the certificate program to receive tailored information, lock in course requirements, and gain access to exclusive student benefits. Registration Fee: $200

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Important Note for International Students: Candidacy fees are included in your program fees and do not need to be paid separately.

View Dates & Program Fees for International Students

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 and Candidacy Fee

$200

Estimated Textbooks and Materials

$1000

Estimated Program Tuition

$9855

International Student Fees

Payment Options

Not eligible for VA Benefit
Federal Financial Aid is not available

Customize your experience

Big Data Management

Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.

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Cybersecurity Lab (Defensive Tools)

This hands-on course introduces core defensive strategies for various environments and explores remediation strategies for thwarting attacks.

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Cybersecurity Lab (Offensive Tools)

This hands-on course explores common and specialized security tools for penetration assessments. Students will have the opportunity to create their own custom tool or an extension to a known tool.

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Exploratory Data Analysis and Visualization

Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.

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Fundamentals of Cybersecurity

This comprehensive introductory course combines theoretical security models with practical examples to benefit auditors, system administrators, or anyone else with a basic understanding of information technology.

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Machine Learning Course

Students must complete one of the following courses.

Deep Learning

Gain a robust understanding of deep learning through both theory and hands-on implementation, spanning domains such as computer vision, natural language processing (NLP) and graph data analysis. Explore neural network architectures, optimization techniques, and advanced models (CNNs, RNNs, GANs, GNNs).

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Machine Learning Using Python

Learn machine learning origins, principles, and practical applications, as well as implementation via the Python programming language. Students will learn to train a model, evaluate its performance, and improve its performance.

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Machine Learning Using R

Learn machine learning origins, principles, and practical applications, as well as implementation via the R programming language. Students will learn to train a model, evaluate its performance, and improve its performance.

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