Post Graduate Certificate in Data Engineering

Accelerate your data engineering career with the MIT xPRO advantage

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

10 Months
10-12 hours per week

Course Fee

PROGRAM FEE

or get US$350 off with a referral

Course Information Special group enrollment pricing

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EMIs as low as INR 6,114/ month*.
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This program is open for enrollments for participants from India, Bangladesh, Bhutan, Burma, Nepal, Pakistan, and Sri Lanka only.

Avail a tuition assistance of US$175. Use code MITXPRO175TA during payment.

Program Overview

The MIT xPRO Post Graduate Certificate in Data Engineering will provide you with in-demand data engineering skills and a competitive edge. By exploring core concepts, tools, techniques, and best practices, you will learn data engineering essentials: from building effective data architectures and warehouses to designing data models, streamlining data processing, automating data pipelines, data wrangling, and big data engineering.

Additionally, benefit from receiving personalized feedback, live weekly office hours with course leaders, and develop a GitHub portfolio to share with potential employers. So, solve big data’s big problems and thrive in the data age with the MIT xPRO edge.

50%

Year-on-year increase in the number of Data Engineering jobs in India.

SOURCE: GLASSDOOR, 2021

13.74 Lakhs

Median salary for a Data Engineer in India. (Amount is in INR)

SOURCE: GLASSDOOR, 2021

Who Is this Program for?

This program is most suited for mid-career professionals looking to acquire data engineering skills to effectively govern their organization’s data strategy, accelerate their career in data engineering and become a key decision-maker within the organization with a certificate from a globally recognized university.

Senior professionals looking to advance their careers and move to data engineering roles with a certificate from a globally recognized university will also benefit from this program.

Program prerequisites:
There are no prerequisites for this program, but prior coding experience (in any language) and a minimum of a bachelor's degree are recommended.

Key Takeaways

This program is designed to prepare you with the skills to advance your career in data engineering. High-level learning outcomes for this program include:

  • 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

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

Earn a certificate from MIT xPRO that recognizes your skills and success

Insights and coding demos from renowned MIT faculty

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

Tools and Resources in the Program

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

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Program Topics

This program includes the following modules:

Module 0:

Orientation

Module 1:

Introduction to Python

Module 2:

Python: NumPy

Module 3:

Python: Pandas

Module 4-5:

Databases: Basic SQL Statements

Module 6:

Databases: Advanced SQL Statements

Module 7-8:

Portfolio Projects

Module 9:

Python Primer and Development Environment

Module 10-12:

Software Skills

Module 13-15:

Databases

Module 16:

Data Wrangling

Module 17-18:

Data Warehouses

Module 19-20:

Big Data

Module 21-22:

Streaming Data and Parallel Computing

Module 23-24:

Introduction to AI and ML

Module 0:

Orientation

Module 10-12:

Software Skills

Module 1:

Introduction to Python

Module 13-15:

Databases

Module 2:

Python: NumPy

Module 16:

Data Wrangling

Module 3:

Python: Pandas

Module 17-18:

Data Warehouses

Module 4-5:

Databases: Basic SQL Statements

Module 19-20:

Big Data

Module 6:

Databases: Advanced SQL Statements

Module 21-22:

Streaming Data and Parallel Computing

Module 7-8:

Portfolio Projects

Module 23-24:

Introduction to AI and ML

Module 9:

Python Primer and Development Environment
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Career Preparation and Guidance*

Stepping into a career in data engineering requires a variety of job-ready skills, both hard and soft. This program guides you in navigating a career path, starting from personalized mentorship sessions to job placement assistance while developing your technical expertise to gain an edge over your peers. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes program leaders who help you reach your learning goals and career coaches to guide you through your job search. The primary goal is to give you the skills needed to be prepared for a job in this field; however, job placement is not guaranteed.

Emeritus provides the following career preparation services:

  • 1:1 Mentorship Sessions by an Emeritus Career Coach
  • Resume Building Group Workshops
  • LinkedIn Profile Building Group Workshops
  • Interview Preparation Group Workshops
  • 1:1 Mock Interviews by Industry Experts
  • Access to Emeritus' Career Services Job Portal
  • Participation in Career Fairs
  • Job Placement Assistance**

*Available to Indian residents only.

**Job placement assistance from partner companies are published, applied to, and tracked to success via an online platform – offered in partnership with Superset.

Program Faculty

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 the 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

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... More info

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 the 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 with 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).

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.

Program Certificate

Program Certificate

Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants. This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.

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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.

Financing Options* Starting at INR 6,114/ Month.

Option 1

Program Fee: INR 2,62,000
Maximum Loan Amount: INR 2,62,000
Tenure (months): 36
EMI/ month: INR 8,769

Option 2

Program Fee: INR 2,62,000
Maximum Loan Amount: INR 2,62,000
Tenure (months): 48
EMI/ month: INR 7,055

Option 3

Program Fee: INR 2,62,000
Maximum Loan Amount: INR 2,62,000
Tenure (months): 60
EMI/ month: INR 6,114

Also available in 12/ 18/ 24 months EMI plans.


Note:
The above EMI's are indicative and figures in INR are approx.
The EMI's offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.
Our Program Advisors will help you with information on how to avail a loan from our loan providers.
*Applicable only for Indian residents.
Registration for this program is done through Emeritus. You can contact us at mit.xpro@emeritus.org
Apply Now

Early registrations are encouraged. Seats fill up quickly!