Professional Certificate in Data Engineering

Get cutting-edge skills to advance your data engineering career.

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Course Dates


February 2, 2022

Course Duration


6 months, online
15-20 hours per week

Course Duration

Pay Nothing While You Learn. Financing Options Starting At US$25/Month.
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Build a Career in Data Engineering With In-Demand Skills

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 pay for a data engineer in the US



The ranking of data engineer in the fastest growing technology jobs in the US



The percentage increase in data engineering job interviews from 2019 to 2020

Source: InterviewQuery’s 2021 Data Science Interview Report

Who Is This Program For?

  • Career Launchers: Recent STEM graduates/post-graduates/interns looking to start a career in this high-growth field by gaining exposure to data engineering
  • Career Builders: Early career software engineers/technology professionals seeking to train in the latest data engineering tools and techniques and advance their careers
  • Career Switchers: Mid-career professionals aiming to switch to data engineering from IT, analytics, finance, project management, supply chain, or another technical field
There are no prerequisites for this program, but prior coding experience (in any language) is recommended and a minimum of a bachelor's degree.

Key Takeaways

  • Learn to code in Python
  • Use SQL to create databases
  • Wrangle and analyze millions of pieces of data using databases in Python
  • Understand how networks work, including IPs, security, and servers
  • Manage big data using data warehousing and workflow management platforms
  • Use cutting-edge data engineering platforms and tools to manage data
  • Explore artificial intelligence and machine learning concepts, including reinforcement learning and deep neural networks

Program Highlights

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Earn a certificate and 36 Continuing Education Units (CEUs) from MIT xPRO

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Insights and coding demos from renowned MIT faculty

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Learn market-ready data engineering skills in a high-growth market

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Build a GitHub portfolio of your projects to share with potential employers

Program Topics

This program is organized into three main sections:

Section 1
As you begin your learning journey in data engineering, you will begin with learning (or refreshing your knowledge of) the Python programming language, how to work with relational databases using SQL, and how to work with Python to create databases and server pipelines.

Module 0: Orientation

Module 1: Introduction to Python

Module 2: Python-NumPy

Module 3: Python-pandas

Modules 4–5: Databases-Basic SQL Statements

Module 6: Databases-Advanced SQL Statements

Modules 7–8: Portfolio Projects

Section 2
In this section of the course, you will deepen your knowledge about SQL, pandas, and how to integrate those tools with the help of Python. You will also examine the security of data, create related APIs, and gain a deeper understanding of data wrangling.

Module 9: Python Primer and the Development Environment

Modules 10–12: Software Skills

Modules 13–15: Databases

Module 16: Data Wrangling

Section 3
In this section of the course, you will explore big data and data warehousing. You will discover the connections between artificial intelligence (AI), machine learning (ML), and data engineering.

Modules 17–18: Data Warehousing

Modules 19–20: Big Data

Modules 21–22: Data Streaming and Parallel Computing

Modules 23–24: Introduction to AI and ML

Career Preparation and Guidance

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:

  • Crafting your elevator pitch
  • Optimizing your LinkedIn profile
  • Writing resumes/cover letters
  • Navigating your job search
  • Learning interview tips and preparation"
  • Negotiating salary

Career exercises focused on launching a career as a data engineer include:

  • Building your personal brand and promoting your skills
  • Communicating technical concepts to non-technical colleagues
  • Understanding the roles and workflow of Agile development
  • Reflecting on your skills to discover how to troubleshoot and learn more quickly
  • Job search and interviewing for data engineering positions

"Data engineering really is a core component of today’s data infrastructure. And because organizations can’t function without data, it’s also a career with a great deal of opportunity and incredibly interesting work as well."

– Abel Sanchez, Research Scientist and Executive Director of MIT’s Geospatial Data Center

Program Faculty

Faculty Member 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... More info

Faculty Member 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... More info

Tools and Resources in the Program

This program employs the latest industry tools and resources, including:

Logo for Jupyter
Logo for NumPy
Logo for pandas
Logo for nosql-net
Logo for python
Logo for MySQL
Logo for GitHub
Logo for hadoop
Logo for Spark
Logo for Firebase
Logo for cassandra
Logo for kafka
Logo for docker
Logo for colab
Logo for dask
Logo for Scipy
Logo for Swagger
Logo for TensorFlow


Example image of certificate that will be awarded after successful completion of this 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 Brochure

After 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.

Pay Nothing While You Learn. Financing Options Starting At US$25/Month.

We offer flexible and transparent payment options through our partner Ascent Funding and Sallie Mae.


    Monthly payments starting at US$51.
    Immediate repayment, interest-only repayment, and deferred payment options available. Click here to know more.


    Monthly payments starting at US$25.
    Fixed repayment, interest-only repayment, and deferred payment options available. Click here to know more.

    Sallie Mae* - At the time of loan application, please select 'Student and Career Training School' when prompted.

  • Flexible Payment Options

    Monthly payments as low as US$1,166. 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 or schedule a call with an advisor.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.