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Earn a Stanford graduate certificate in data mining online. Three certificates are designed to give you the skills you need to gather and analyze massive amounts of information. Pursue the certificate that best matches your skills and career goals and become a master of your data.

  • Mining Massive Data Sets - Learn efficient, powerful programming techniques and algorithms to transform large quantities of information into business intelligence.
  • Data Mining and Applications - Develop and use predictive models and analytics to extract meaning from large data sets and inform sound strategic decisions.
  • Data, Models and Optimization - Recognize and solve large scale problems and gain exposure to an array of applications and tools used in communications, finances and electrical engineering.

Data Mining and Statistics Courses

Bioinformatics Graduate Certificate

  • Computational Methods for Biomedical Image Analysis and Interpretation (BIOMEDIN260)
  • Introduction to Decision Analysis (MS&E152)

Data Mining and Applications Graduate Certificate

  • Data Mining and Analysis (STATS202
  • Introduction to Statistical Learning (STATS216)
  • Modern Applied Statistics: Data Mining (STATS315B)
  • Paradigms for Computing with Data (STATS290)

Data, Models and Optimization Graduate Certificate

  • Convex Optimization I (EE364A)
  • Introduction to Statistical Learning (STATS216)
  • Investment Science (MS&E245A)
  • Linear and Nonlinear Optimization (MS&E211)
  • Machine Learning (CS229)
  • Modern Applied Statistics: Data Mining (STATS315B)

Financial Risk Analysis and Management Graduate Certificate

  • Credit Risk: Modeling and Management (MS&E347)
  • Statistical Models and Statistical Methods in Risk Management (STATS243P)
  • Theory of Investment Portfolios and Derivative Securities (STATS237)

Mining Massive Data Sets Graduate Certificate

  • Information Retrieval and Web Search (CS276)
  • Machine Learning (CS229)
  • Mining Massive Data Sets (CS246)
  • Social and Information Network Analysis (CS224W)

Quantitative Methods in Finance Graduate Certificate

  • Algorithmic Trading and Quantitative Strategies (STATS242)
  • Financial Modeling Methodology and Applications (STATS241P)
  • Statistical Methods in Finance (STATS240P)
  • Statistical Models and Statistical Methods in Risk Management (STATS243P)

Stanford data mining graduate certificates are especially designed for students in industry. All courses contributing to graduate certificates are available online during the academic quarters they are held on campus.

Each graduate certificate requires the successful completion of 3-4 graduate courses.

  • $1,320/unit; ($1,120/unit for employees of a member company).
  • Each graduate course is typically 3-5 quarter units; you must enroll for a minimum of 3 units per quarter.


Complete the online Non Degree Option application and indicate which certificate you would like to pursue. Application includes a statement of purpose, transcripts from all previous higher education institutions, and Visa documentation if applicable.

Time Commitment

Graduate Courses for Academic Credit

  • Every unit of credit represents 1 hour of class time plus approximately 2 additional hours of work per week for the average student. A 3-unit course, for example, requires a minimum time commitment of 9 hours per week.

Graduate Certificates

  • Complete the 3-5 courses required for your certificate in 3 years or less.
  • Most certificates can be earned within 1 to 2 years.

Visit our Free Stuff page to view webinars, seminars and lectures online, presented by Stanford faculty, industry experts and senior researchers.


The general public may view seminars presented and filmed at Stanford. Topics include:

  • The Energy Seminar
  • Human-Computer Interaction Seminar
  • Colloquium on Computer Systems
  • Entrepreneurial Thought Leaders' Seminar


Live Webinars - Register for virtual meetings with Stanford faculty, industry experts,and senior researchers as they go beyond the course curriculum to address emerging topics and trends in academia.

On-demand Webinars - Watch past webinars in project management, innovation, strategy and more.