The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.

Courtlyn
Promotion and Events SpecialistGet cutting-edge skills to advance your data engineering career.
September 27, 2022
6 months, online
15-20 hours per week
US$7,450 or get US$500 off with a referral
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Professional Certificate in Data Engineering starting on September 27, 2022 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.
Explore financing options available for this program.
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As data grows even more integral to business, it’s easy to see why data engineer was ranked as the fastest growing tech occupation in 2020. The need for data engineers who can build out the infrastructure necessary to put data to work is intensifying, and the MIT xPRO Professional Certificate in Data Engineering can help you meet this demand with job-ready data engineering skills that offer a competitive edge in the marketplace.
The average annual salary of a data engineer in the US in 2022
The estimated proportion of digital transformation projects accounted for by cloud-native platforms by 2025, up from 40% in 2021
This program is designed to give you the skills you need to start or continue your career in data engineering. High-level learning outcomes for this program include:
Download the brochure for detailed key takeaways.
Earn a certificate and 36 Continuing Education Units (CEUs) from MIT xPRO
Insights and coding demos from renowned MIT faculty
Learn market-ready data engineering skills in a high-growth market
Build a GitHub portfolio of your projects to share with potential employers
Receive one-on-one career support from Emeritus and introductions to hiring partners for eligible participants
Stepping into a career in data engineering requires a variety of skills, both hard and soft. This course offers you guidance for navigating a career path into tech, including crafting your materials and acing an interview. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes course leaders to help you reach your learning goals. The primary objective is to give you the skills needed to be prepared for a job in this field. Eligible participants may receive introductions to our hiring partners; however, job placement is not guaranteed.
Elements of the career preparation aspects of this course include:
Career exercises focused on launching a career as a data engineer include:
– Abel Sanchez, Research Scientist and Executive Director of MIT’s Geospatial Data Center
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JOHN R. WILLIAMS
Professor of Information Engineering in MIT Department of Civil and Environmental Engineering
John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a Ph.D. in Numerical Methods from University of Wales, Swansea. His research focuses on the application of large-scale computation to problems in cyber-physical security and energy studies. He is director of MIT’s Geospatial Data Center and from 2006-2012, was Director of the MIT Auto-ID Laboratory, which invented the Internet of Things.
He is author or co-author of over 250 journal and conference papers, as well as the book, RFID Technology and Applications. He contributed to the 2013 report for the UK Office for Science Foresight Project- The Future of Manufacturing.
Alongside Bill Gates and Larry Ellison, he was named as one of the 50 most powerful people in Computer Networks. He consults to companies including Accenture, Schlumberger, SAP Research, Microsoft Research, Kajima Corp, US Lincoln Laboratory, Sandia National Laboratories, US Intelligence Advanced Research Projects Activity, Motorola, Phillip-Morris Inc., Ford Motor Company, Exxon-Mobil, Shell, Total, and ARAMCO.
His international collaborations include HKUST and PolyU Hong Kong, Cambridge University-UK, Imperial College of Science and Technology-UK, Malaysia University of Science and Technology (MUST), KACST Saudi Arabia, Masdar Institute of Science and Technology (Abu Dhabi.)
He organized the first Cyber-Physical Security Conference in the UK (2011) and along with Dr. Sanchez, he runs the MIT Applied Cyber Security Professional Education summer course. At MIT he teaches courses Architecting Software Systems (MIT 1.125) and Engineering Computation and Data Science (MIT 1.00/1.001).
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ABEL SANCHEZ
Research Scientist and Executive Director of MIT’s Geospatial Data Center
Dr. Abel Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT). He is the Executive Director of MIT’s Geospatial Data Center, architect of “The Internet of Things” global network, and architect of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Altria. In cyber security, Dr. Sanchez architected impact analysis of large-scale cyber-attacks designing Cyber Ranges for the Department of Defense (DOD).
In password security, Dr. Sanchez led the design of a password firewall (negative authentication) for the Intelligence Advanced Research Projects Activity (IARPA) agency. In machine learning, addressing fraud detection, Dr. Sanchez designed a situational awareness framework that exploits different perspectives of the same data and assigns risk scores to entities for Accenture.
He led the design of a global data infrastructure simulator, modeling follow-the-sun engineering, to evaluate the impact of competing architectures on the performance, availability, and reliability of the system for Ford Motor Company. He has been involved in developing e-learning software for Microsoft via their I-Campus Program and with establishing the Accenture Technology Academy, an online resource for over 200,000 employees.
He has 10 years of experience with learning management systems and has made deployments in America, Asia, and Europe. He teaches MIT courses on cybersecurity, engineering computation, and data science and has produced over 150 educational videos.
This program employs the latest industry tools and resources, including:
Download the brochure for a full breakdown of the tools utilized in the program.
Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 36 Continuing Education Units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.
Download BrochureAfter successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, with the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT.
We offer flexible and transparent payment options through our partners—Climb Credit, Sallie Mae, and Ascent Funding. Schedule a call with a Program Advisor to learn more.
Immediate repayment, interest-only repayment, and deferred payment options are available.
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Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more.
*At the time of loan application, please select 'Student, Career training school' when prompted.
Immediate repayment, interest-only repayment, and deferred payment options are available. Click here to know more.
Monthly payments as low as US$1,565. Click here to know more.
You can opt for any one of the financing options to cover up to the full cost of the program tuition. If you are considering financing your program through one of our partners, the enrollment process can only be completed with the assistance of your program advisor or by calling +315-538-6867.
Please note that loan applications should be submitted no later than four business days prior to the enrollment deadline due to processing time.
Registration for this program is done through Emeritus. You can contact us at mit@emeritus.org or schedule a call with an advisor.
Flexible payment options available.