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Data Science

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Launch Your Future in Data Science

The new Data Science program at ÃÀ¼§ÉçÇø combines programming, mathematics, and real-world data analysis to prepare you for high-demand careers and seamless transfer to top universities.

What is Data Science?

Data Science is an interdisciplinary field that combines programming, statistics, and domain expertise to transform raw data into actionable insights. It involves collecting, cleaning, and analyzing data to uncover patterns and trends, building predictive models with machine learning, and communicating results through clear visualizations and storytelling. By harnessing data effectively, data scientists empower organizations to make informed decisions, optimize processes, and innovate across industries.

Why Study Data Science at ÃÀ¼§ÉçÇø?

Studying data science at ÃÀ¼§ÉçÇø opens doors to exciting and meaningful career opportunities. Companies today rely on data scientists to solve real problems – from improving healthcare outcomes and developing smarter technologies to driving strategic business decisions. Our program equips you with in-demand skills in programming, statistics, and data analysis, making you a strong candidate in the job market. Beyond career readiness, data science gives you the power to uncover insights hidden within data, understand the world in new ways, and create innovative solutions to complex challenges.

At ÃÀ¼§ÉçÇø, you will:

  • Gain hands-on skills in programming and data analysis
  • Prepare for high-demand careers in technology, business, healthcare, and research
  • Build a strong foundation to transfer to UC or CSU Data Science programs
  • Learn Python, statistics, and machine learning basics in a supportive environment
  • Develop critical thinking and problem-solving skills that employers seek

Program Highlights

  • New Math 110: Principles of Data Science course
  • Courses in Calculus, Linear Algebra, and Differential Equations
  • Programming with Python or Java
  • Emphasis on data visualization, ethics, and real-world applications
  • Small class sizes and supportive faculty
  • Transfer pathways to UCSD, UC Berkeley, and beyond

Featured Course: Math 110 – Principles of Data Science

Learn the fundamentals of data science through hands-on programming, data visualization, statistical analysis, and ethical considerations. This course prepares you to analyze datasets using industry-standard tools while building strong quantitative reasoning skills.

Transfer Opportunities

Our Associate in Science (AS) in Data Science prepares you to transfer into a bachelor’s program in Data Science, Computer Science, or Statistics at universities such as UCSD and UC Berkeley, where you can continue specializing and advancing toward data science careers.

Careers in Data Science

Data science jobs span industries like tech, healthcare, government, education, and entertainment. Graduates can pursue roles such as:

  • Data Analyst
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Research Assistant
  • Statistical Programmer

Average salaries in data science are highly competitive, with entry-level data analysts earning $60,000–$80,000 per year, and experienced data scientists earning over $120,000 per year depending on education and industry.

FAQs

Do I need programming experience to start?
No prior experience is required for Math 110. You will learn programming basics in class.

What math classes do I need?
Our program includes the Calculus Course Series and Linear Algebra to build the quantitative skills needed for data science.

Can I transfer to UCSD or UC Berkeley?
Yes, our AS program is designed with transfer pathways to leading data science programs at UC campuses.

Campus Locations

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Community Learning Center

1831 Mission Avenue
Oceanside, CA 92058
760.795.8710
888.201.8480

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Oceanside

1 Barnard Drive
Oceanside, CA 92056
760.757.2121
888.201.8480
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San Elijo

3333 Manchester Avenue
Cardiff, CA 92007
760.944.4449
888.201.8480

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Technology Career Institute

2075 Las Palmas Drive
Carlsbad, CA 92011
760.795.6820
888.201.8480
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