Acquire Valuable Insights From Data Sets at Any Scale
Next start date
January 12, 2017
Businesses and organizations today have ready access to huge amounts of data, but they’re less adept at making sense of it. The role of the data scientist — turning statistical information into meaningful, actionable insights — is increasingly crucial as companies strive to stay ahead of the competition.
In this three-course certificate program, you’ll discover how to apply cutting-edge tools and techniques to extract meaning from data sets ranging in size from gigabytes to petabytes. Use statistics, machine learning, algorithms and other techniques to analyze real-life data scenarios to make informed business decisions. Take your data analytics abilities, and your career, to the next level.
Technically oriented professionals who work with data and have some background in statistics, SQL and programming.
Applicants must earn a total score of at least 18/30 on the data science qualifications assessment quiz and have some background in statistics, programming and SQL, including:
• At least one year of experience using a programming language, preferably Python, Java, R or C#
• Fundamental understanding of databases and SQL
• Basic conceptual knowledge and familiarity with statistics and linear algebra concepts such as vectors, matrices, eigenvectors and eigenvalues, simple matrix calculus (derivatives), distributions, quintiles, average and standard deviation as measures of distribution, and the concept of uncertain estimates of quantities as embodied by confidence limits or error bars
If you're not a native English speaker, you’ll need to have basic English language skills to participate in this program. To learn more, see English Language Proficiency Requirements.
International students are welcome to apply to an online offering of this program, which doesn’t require a visa. To enroll in a classroom offering, you must have a visa that permits study in the United States. This certificate program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.
You must have access to a computer with the ability to run VMware or VirtualBox, with a minimum 4GB of RAM. Classroom students must bring laptops or an equivalent device that has remote access to a computer. A high-speed Internet connection is recommended.
You earn the certificate by regularly attending class and successfully completing all required courses. For more information, see Completing Your Program.
At the end of the program, you’ll solve a real data science problem through an online competition.
Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.
Introduction to Data Science
Methods for Data Analysis
Deriving Knowledge from Data at Scale
Certificate in Data Science
Approved by the UW Department of Computer Science & Engineering and developed under the guidance of the eScience Institute.
View this program's advisory board.
Each of our programs uses an advisory board to review content, guide design and recommend updates to ensure the program remains current as the field of study evolves. By tapping the minds of the top thinkers, doers and leaders in the field, we offer a transformational learning experience. The following individuals serve as the advisory board for this program.
Erik Bansleben, Director, Academic Programs, UW Professional & Continuing Education
Roger Barga, General Manager and Director of Development, Amazon Web Services
Naomi Bogenschutz,Program Manager, UW Professional & Continuing Education
Rovy Branon, Vice Provost, University of Washington Continuum College
Jonathan Brown, Catastrophe Risk Analyst, Guy Carpenter
Paul Brown, VP of Software Engineering, Salesforce.com
Vitor Carvalho, Senior Staff Engineer, Qualcomm Research
John Clouse, Chief Data Scientist, The Everett Clinic
Adam Cornille, Senior Data Scientist, Deloitte Digital
Olly Downs, Chief Scientist/CTO, Globys, Inc.
Mario Garzia, Data Science and Big Data Consultant
Jeffrey Heer, Associcate Professor, UW Computer Science & Engineering
Peter Hoff, Professor, UW Department of Statistics
Bill Howe, Senior Scientist, UW eScience Institute
Simon Kahan, President, Biocellion
Aaron Kimball, CTO, Zymergen, Inc
Nathan Kutz, Professor and Chair of Applied Mathematics
Valentin Kuznetsov, Data Scientist and Researcher, Cornell Univeristy
Mike Lazarus, Vice President of Analytics, Atigeo
Bill McNeill, Software Engineer, Intelius
Dev Nambi, Data Scientist, UW Enterprise Data & Analytics Group
Daren Vengroff, Chief Scientist, RichRelevance
Jon Wakefield, Professor, UW Statistics and Biostatistics
Buck Woody, Senior Technical Specialist, Microsoft
Date: Thursday, November 17, 2016
Time: 12:00 p.m. - 1:00 p.m. Pacific Time
Download the application form (PDF)
Take the online data science qualifications assessment quiz. Once you start the assessment, you must complete it within 90 minutes.
The assessment includes 30 multiple-choice questions divided into three sections: statistics and linear algebra, programming, and databases and SQL. We typically expect applicants to get a total score of at least 18/30, with a minimum score of 6/10 in each section. Once you submit your quiz you’ll be able to see your total point score (section scores are not available).
Please use the same email address on both your assessment and application.
Apply online, or submit an application packet that includes:
We’re currently accepting applications and will be reviewing them in the order they’re received. We’ll accept applications until the program closes.
We’ll contact you within two weeks of receiving your application materials to let you know if you’ve been accepted to the program.
If you’re accepted, we’ll send you details about your first-term course, including information on paying your course fee. Your course fee is due two weeks before the first class.
With the exception of the one-time application fee, certificate program fees are charged on a quarterly basis. Payment is due when you register.
Course fees do not include any costs for class materials such as textbooks and software.
Drops, Withdrawals & Refunds
Attend class in person and engage face to face with your classmates and instructors as part of a highly interactive curriculum. Assignments and other course materials are delivered through Canvas, a web-based learning management system that also serves as a communications hub. You must attend at least 60 percent of your class sessions in person. You may view the remainder online, either as recorded sessions or in real time (limit of two live-streamed sessions per quarter).
Courses are streamed online in real time from the classroom. You interact with your instructors and fellow students via chat, using Adobe Connect web conferencing software. Assignments and other course materials are delivered through Canvas, a web-based learning management system that also serves as a communications hub.For added flexibility, each quarter you may view recordings of up to 40 percent of your class sessions instead of attending in real time. You also can attend the classroom sessions in person if space is available.
Our special blended programs combine the convenience of online study with the vibrancy of in-person classes for a unique learning experience.
Not available for this program
General Manager and Director of Development, Amazon Web Services
Managing Director, Quantia Analytics
Principal Data Scientist, Data and Decision Sciences Group, Microsoft
Program Manager, Predixion Software, Inc.
Senior Data Scientist, PayScale
Senior Program Manager, Machine Learning & Data Science Team, Microsoft
Enterprise Architect, Solavei
Keith Beggs was looking to upgrade his data analysis skills and earn a credential that would help accelerate his career. He found he could do both in the Certificate in Data Science.
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