Data Science MicroMasters — edX/UC San Diego (2026)

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Data Science MicroMasters — edX/UC San Diego (2026)

UC San Diego's Data Science MicroMasters Program on edX provides graduate-level training in one of the hottest fields in technology. UCSD is a top-20 research university with world-renowned programs in data science, machine learning, and statistical modeling.

This program teaches you to collect, manage, analyze, and visualize data using Python, covering the full data science pipeline from raw data to actionable insights.

What You Will Learn:

• Python for Data Science: NumPy, Pandas, and data manipulation at scale with real datasets
• Machine Learning: Supervised and unsupervised learning algorithms using Scikit-Learn
• Statistical Inference: Probability theory, hypothesis testing, confidence intervals, and Bayesian methods
• Big Data Systems: Apache Spark, distributed computing, and processing large-scale datasets
• Data Visualization: Create compelling visualizations with Matplotlib, Seaborn, and interactive tools
• Capstone Project: Apply all skills to a comprehensive data science project with real-world data

Why Enroll:

Data scientists earn an average salary of $145,000/year and data science roles have grown 650% in the last decade. UCSD's MicroMasters provides the rigorous, university-backed credential that employers trust — and can count toward a full Master's degree. This program teaches you the exact tools and techniques used at companies like Google, Meta, Netflix, and Amazon.

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💡 Bundling Tip: Purchase all courses in this program as a bundle to automatically save 10% — no coupon code needed. Look for the "Pursue the Program" option on edX.

Who Should Take This Course:

This MicroMasters is built for aspiring data scientists, analysts, and engineers who want to master the Python-based data science stack. It is ideal for professionals in business analytics, marketing, healthcare, or any data-heavy field who want to add machine learning and statistical modeling to their skill set. UC San Diego's program emphasizes practical, hands-on projects using real-world datasets so you can build a portfolio as you learn.

Frequently Asked Questions

Q: What tools and technologies are covered?

The program covers Python, pandas, NumPy, scikit-learn, Apache Spark, and statistical modeling techniques. You will also work with data visualization libraries and big data tools.

Q: What math background do I need?

You should be comfortable with basic statistics and linear algebra. Some calculus knowledge is helpful but not strictly required for most courses.

Q: How is this different from a bootcamp?

Unlike bootcamps, this program is taught by university professors, covers deeper theoretical foundations, and results in a credential from UC San Diego that can count toward a full Master's degree.

Q: What career outcomes can I expect?

Graduates pursue roles such as data scientist, machine learning engineer, data analyst, business intelligence developer, and research scientist.