Design and Build Big Data Systems
Next start date:
October 2, 2019
In today’s job market, big data is hot — and so are data engineers, the professionals who have the knowledge and skills to tame it. Organizations have a growing need for specialists who know how to design and build platforms that can handle the gigantic amount of data available today.
In this three-course certificate program, we’ll explore distributed computing and the practical tools used to store and process data before it can be analyzed. You’ll work with typical data stacks and gain experience with the kinds of data flow situations commonly used to inform key business decisions. Complete this program and engineer your career in the world of big data technologies.
▸ Related Article: Hot Jobs: Data Engineer
Professionals with programming and system administration experience who are looking to expand their careers into big data.
▸ Related Article: Find the Right Data Program For You
Applicants must have:
We also recommend that you have:
If you're not a native English speaker, you’ll need to have at least basic English language skills to enroll. 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 program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.
Classroom students will need:
Online students will need:
You earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. For more information, see Earning the Certificate.
Instructor David Patton of the Certificate in Big Data Technologies discusses the program and the high demand for professionals with these kinds of skills and knowledge.
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 Engineering
Building the Data Pipeline
Emerging Technologies in Big Data
Certificate in Big Data Technologies
Approved by the UW Paul G. Allen School of Computer Science & Engineering.
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.
Lyman Do, Distinguished Architect, HERE Technologies
Rob Jasper, Chief Scientist, Analysis in Motion, Pacific Northwest National Laboratory
Ashley Kim, Program Manager, International & Academic Programs, UW Continuum College
Denny Lee, Principal Program Manager, Microsoft
Dev Nambi, Data Engineer, Fred Hutchinson Cancer Research Center
David Patton, Director of Sales Engineering and Professional Services, InfluxData
Vikas Ranjan, Principal Architect, Engineering Intelligence & Analytics, T-Mobile
Darwin Schweitzer, Big Data/AI Advanced Workload Lead, Microsoft
Mark Staveley, Director of Product Management, Cray Inc.
Join an upcoming information session to learn more about the program, curriculum and instructors.
Spencer McGhin, a graduate of the Certificates in Python Programming and Big Data Technologies, explains how the certificate programs gave him the professional boost he needed in an emerging field.
“The UW certificate program was just a perfect fit for me. I could space out my learning over the whole year and get comprehensive knowledge while working with my schedule. It gives you the flexibility to have a job or a life while you’re doing it.”
Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »
Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. Learn More »
Data Integration and Predictive Analytics Fellow, Foster America
Software Engineer, Pivotal
If you’re thinking about heading back to school, you’re probably also wondering how you’ll pay for it. To help you figure that out, we’ve put together a list of ways to help fund your education.
Your company can help pay for that career-boosting certificate or degree program — if you know how to ask. Find out how to best position yourself for educational assistance.
Data engineers are the "high-tech plumbers" of the data world. They design, build and maintain the invisible infrastructure that gets people the data they need, when they need it.
Whether you're interested in data analytics, machine learning or another data specialization, we have programs for you. Compare our data-related offerings.
Big data keeps getting bigger. So does the demand for skilled professionals who can make sense of it all. Read on to learn more about data scientists and what it takes to do this hot job.
Learn how to build and manage the databases and infrastructure for your organization’s business intelligence operations. Under
Learn how to apply cutting-edge tools and techniques to extract meaning from data sets ranging from gigabytes to pentabytes.
Study the mathematical concepts behind machine learning and deep learning. Learn to apply and model these techniques to address business needs and real-world challenges.
Discover how to use scientific computing tools and technologies to help solve complex problems in the physical, biological and engineering sciences.
Acquire the skills to perform sophisticated data analysis and modeling, data mining and big data management using powerful statistical tools and R programming.
Gain the deep technical knowledge and interdisciplinary skills needed to turn massive data sets into insights organizations can use.