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The Stanford Department of Statistics offers two new certificate programs for managers and professionals seeking to understand, interpret and use the plethora of data being generated in such diverse fields as medicine, finance, and marketing.
Data Mining and Applications
Quantitative Methods in Finance and Risk Management
Download certificate brochure in portable document format (pdf).
In recent years, there has been an explosion in computation and information technology. With it have come vast amounts of data. For example, the terabytes of customer data collected by e-business firms present new challenges of understanding these data using the information collected. New tools, based both on clever applications of established algorithms and on new methodologies, empower us to do entirely new things. Data mining and predictive models are at the heart of successful information and product search, automated merchandizing, smart personalization, dynamic pricing, and many other technology-based solutions to important problems in business.
Stanford's Department of Statistics is at the forefront of new developments in the statistical sciences designed to meet the challenges of learning from data. This certificate program introduces many important new ideas in data mining and machine learning, explains them in a statistical framework and describes some of their applications to business, science and technology.
The program, designed for Non Degree Option (NDO) students, requires the completion of three out of five courses with a letter grade indicator average of 2.75 or better to qualify for the certificate.
The last two decades have witnessed phenomenal growth of the financial market and of tools for managing the risks due to uncertainties in future market movements and/or defaults of counterparties in financial contracts. Statistical methods and models for forecasting future market movements and default probabilities of loans and forward contracts, together with economic theories and quantitative methods for investments, have empowered investors and professionals in financial institutions and other companies to cope with complex investment decisions and to manage market, credit and operational risks.
This certificate program has been developed by Stanford's Department of Statistics, in collaboration with the Department of Management Science & Engineering.
The program, designed for Non Degree Option (NDO) students,
requires the completion of three out of five courses with a letter grade
indicator average of 2.75 or better to qualify for the certificate.
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STATS237, Time Series Modeling and Forecasting |
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STATS240P, Statistical Methods in Finance |
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STATS241P, Statistical Modeling in Financial Markets |
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MS&E242, Investment Science |
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STATS243, Introduction to Mathematical Finance |
How to Enroll
Certificate seekers may begin the program in the autumn, winter or spring quarter under the Non Degree Option by completing an online enrollment application. First time students must also provide transcripts from all previous colleges and universities. Those who wish to update their skills and stay current in their field without seeking graduate credit may enroll under the Audit Option. Tuition information.
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