UC Berkeley Global: Study-Abroad Opportunities
Immersive Program in Data Analysis
Berkeley, USA
Course
DURATION
4 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
05 Jun 2026*
EARLIEST START DATE
19 Aug 2026
TUITION FEES
USD 11,375 **
STUDY FORMAT
On-Campus
* fall 2026 applications open on March 3, 2026
** $500 nonrefundable deposit
Become Eligible for OPT!
Completing two semesters—for example, by stacking two Immersive Programs—and earning a certificate makes you eligible for Optional Practical Training (OPT). OPT allows you to work in the United States and gain practical experience in a field directly related to your area of study for one year following the completion of your program.
Get ready to make data-driven decisions, earn a certificate
Whether you're starting your career, transitioning into a new role, or adding quantitative skills to your existing toolkit, the Immersive Program in Data Analysis is your opportunity to thrive in the digital economy. Through this full-time, in-person certificate, you will develop proficiencies in data collection, processing, visualization, and interpretation. Elevate lessons learned by turning complex data into actionable insights that drive impact across any industry.
Learn from seasoned business professionals and delve into how data is transforming every field—from marketing and business to health care, government, and education. This practical path to data fluency provides you with the foundation for long-term success in a data-driven world. Turn numbers into narratives and insights into action.
Why Study Data Analysis?
In today's workplace, data isn't just for analysts, statisticians, or data scientists. It's the fuel behind every major business decision, from launching new products to shaping public policy to deciding where to invest in marketing. For young professionals starting their careers, the ability to understand and interpret data can be the difference between being a passive participant and an active contributor in the conversations that shape the future of your organization.
Beyond the Classroom
Professional Skills Workshops
Each semester, you'll attend a workshop focused on professional skill development led by experts in their fields. Past workshops have covered job search skills, LinkedIn optimization and networking, a deep dive into the world of venture capital, and more. Workshops are intended to help you build practical skills that will help you prepare for careers in the business world.
Networking
Throughout the semester, attend community-building events to meet your peers and future colleagues in our community—both within your program and in other programs. Network, learn about campus opportunities, and build social networks and connections through fun activities and snacks at our Golden Bear Center. Always free and fun, these events are an opportunity to make connections that stick. Examples of past events include Silicon Valley Trivia and Pizza Night, a Fall Photo Contest, and Potluck.
Sightsee
Get the most out of your time at Berkeley! UC Berkeley and the Bay Area have so much to offer visiting students. Take advantage of:
- Many free and low-cost events on campus
- Opportunities to hear from world-class speakers
- Proximity to some of California's most beautiful parks and landmarks
- A Cal 1 Card that includes an AC Transit "EasyPass" for bus transportation around the East Bay
Core Courses
The curriculum comprises five core courses, totaling 9 semester units (135 hours of instruction). To earn your certificate, you must take all courses for a letter grade and earn a grade of C or better in each course.
Introduction to Data Analytics
Formulate and apply descriptive, predictive, and prescriptive analytics to guide decision-making in various industries. Learn and practice to think critically with data and generate actionable insights.
Data Visualization
Learn theoretical and practical elements to support a holistic approach to understanding data visualization. Explore techniques to create compelling stories and practice using modern tools to create visualizations using R, Python, D3, and Tableau.
Python for Data Analysis
Build your experience with statistical analysis using the Python programming language to make the analysis more powerful and able to analyze large datasets. This course is intended for those who are new or have limited programming experience but have an interest in building on their statistical skills as data analysts.
Data Warehousing and Business Intelligence
Gain an understanding of data modeling, data warehousing, and SQL to explore the concepts, frameworks, and best practices for designing on-premises and cloud-based data warehousing solutions. Get an overview of cloud computing and its main concepts by utilizing cloud computing platforms.
Data Analytics Capstone
Complete your own data analytics project that centers on a real-world problem to add to your portfolio of work. Demonstrate knowledge of data analytics methods and techniques by planning, exploring, analyzing, interpreting, and presenting findings through collaboration and problem-solving that promote applied, experiential learning.
- Use data wrangling and exploration methods to find meaning and patterns in structured data sets.
- Create descriptive, predictive, and prescriptive models for knowledge discovery with structured data sets.
- Perform decision analysis using optimization methods, operational research, management science, and spreadsheet analytics.
- Interpret results and use data visualization techniques to communicate findings to stakeholders.
Envision Your Semester
You'll take classes Monday through Thursday. Each meeting is 2–3 hours at our Golden Bear Center, just a few minutes walk away from the UC Berkeley campus.
Courses in this program are split into two sessions, as skills and knowledge developed in some courses build on concepts introduced in other courses. Exact schedules are shared with admitted students before the semester starts, but you can see a sample weekly schedule below:
Session 1 (August–October)
| Day | Focus | Times |
| Monday | Introduction to Data Analytics class | 3–5 pm |
| Data Analytics Capstone course | 5–6 pm | |
| Tuesday | Data Visualization class | 3–5 pm |
| Wednesday | Introduction to Data Analytics class | 3–5 pm |
| Thursday | Data Visualization class | 3–5 pm |
| Friday | Studying, completing assignments, networking, exploring life at Berkeley | On your schedule! |
Session 2 (October–December)
| Day | Focus | Times |
| Monday | Data Analytics Capstone course | 4–5 pm |
| Data Warehousing and Business Intelligence class | 5–7 pm | |
| Tuesday | Python for Data Analysis class | 3–5 pm |
| Wednesday | Data Warehousing and Business Intelligence class | 5–7 pm |
| Thursday | Python for Data Analysis class | 3–5 pm |
| Friday | Studying, completing assignments, networking, exploring life at Berkeley | On your schedule! |
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