PG Diploma and MTech in Data Engineering IIT Jodhpur
The PG Diploma and MTech in Data Engineering from IIT Jodhpur is a specialized 12-month program crafted by faculty in collaboration with global Data Science and Engineering schools and industry experts. This industry-oriented program focuses on AI-driven technology stacks, preparing students for upcoming data-focused job roles. The curriculum includes Data Analytics, Python Programming, Machine Learning, Big Data, Cloud Computing, and Advanced Data Engineering. Students gain hands-on experience with interactive AI simulation exercises, masterclasses by industry leaders, and campus immersion opportunities. The program offers direct pathway to IIT Jodhpur's Executive MTech program and provides access to the prestigious IIT alumni network.
Instructors:
English
Powered by
Course Start Date:
January, 2026
Application Deadline:
15th Jan, 2026
Duration:
12 Months
₹ 3,35,000
Overview
The PG Diploma and MTech in Data Engineering from IIT Jodhpur is a comprehensive program designed to meet India's growing demand for data engineering professionals. This industry-oriented curriculum combines theoretical knowledge with practical application, preparing students for high-growth careers in data science, machine learning, and data engineering roles.
Why MTech (Master of Technology)?
This program is ideal for working professionals seeking career advancement in data engineering and analytics. The IIT brand reputation, combined with industry-relevant curriculum and expert faculty, makes it perfect for those looking to transition into or advance within the data engineering domain. The program offers flexibility for working professionals with weekend classes and structured campus immersion.
What does this course have to offer?
Key Highlights
IIT Jodhpur Alumni Status
Direct pathway to Executive MTech program
Mentorship from 30+ industry leaders
Interactive AI simulation exercises
Hybrid learning with live online classes
Campus immersion opportunities
330 hours of comprehensive learning
Industry-relevant curriculum by IIT faculty and ex-MAANG experts
Who is this programme for?
Working professionals with 1+ years of experience
Individuals with programming/software/technology background
Those aspiring for high-growth careers in data science, ML, or data engineering
Professionals looking for managerial roles in data domain
Engineering graduates seeking specialization in data engineering
Minimum Eligibility
Bachelor's degree in Computer Science/Computer Applications/IT with minimum 50% marks and 1 year work experience
Who is the programme for?
The admission process includes application submission, screening test assessment covering Data Interpretation, Statistics Foundation, and Programming Logic (minimum 50% required), offer letter upon qualification, completion of sponsored Futurense Bridge Course covering program foundations, and commencement of the IIT Jodhpur journey. Academic structure spans 12 months with 330 hours of learning delivered through live online classes on weekends.
Here's a Glimpse of Your Degree
*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.
Selection process
How to apply?
Curriculum
The curriculum is structured across three trimesters covering comprehensive data engineering topics. Trimester 1 includes Data Analytics, Applied Mathematics and Statistics, Python Programming for Data Engineering, Database and SQL Programming, and electives in Fundamentals of Business and Data Analytics. Trimester 2 covers Fundamentals of Data Science, Data Visualization, Decision Science, Data Mining and Warehousing, Machine Learning, Distributed Systems, and electives in Cloud Computing and Analytics. Trimester 3 focuses on Data Engineering, Big Data Storage and Processing, Advanced Data Engineering with Cloud, Stream Processing, MLOps, and specialized analytics electives.
There are 3 semesters in this course
The program curriculum spans three comprehensive trimesters designed for practical application and industry relevance. The first trimester establishes foundational skills in data analytics, applied mathematics, Python programming for data engineering, and database management with SQL programming. Students also explore business fundamentals and data analytics applications. The second trimester advances into data science fundamentals, visualization techniques, decision science for operations management, data mining and warehousing concepts, machine learning algorithms, and distributed systems and platforms. Cloud computing optimization and various analytics specializations are covered as electives. The final trimester focuses on advanced data engineering concepts including big data storage, processing and management, cloud-based advanced data engineering, stream processing and analytics, MLOps for deploying data solutions, and specialized analytics in financial, digital marketing, people, and retail domains.
Trimester 1
Trimester 2
Trimester 3
Programme Length
12 Months with flexible learning schedule accommodating working professionals through weekend classes and structured campus immersion periods.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Associate Professor, Department of Computer Science and Engineering
Dr. Dip Sankar Banerjee’s active research includes parallel computing, graph algorithms, social network analysis, bioinformatics, and genomic data analysis. He also works on runtime design, approximate computing, accelerators design, memory design, neuromorphic architectures, programming models, and hardware security. His projects often focus on interdisciplinary applications spanning computational sciences, life sciences, and medical technology.
Assistant Professor, Department of Mathematics
Dr. Bhagat’s research is centered on the design and analysis of distributed algorithms with applications in swarm robotics and autonomous systems. Additional interests include IoRT and security measures for distributed computing environments. Prior to joining IIT Jodhpur, he held postdoctoral fellowships at leading Canadian universities, focusing on coordination problems in robotic systems and distributed computation
Tuition Fee
The program fee is ₹3,35,000 including application processing fees, with an additional ₹20,000 administrative fee covering lodging and examination costs (meals excluded). Students can leverage academic credits to transfer to IIT Jodhpur's Executive MTech program for ₹2,55,000 additional fee. The investment provides access to cutting-edge curriculum, IIT alumni status, industry mentorship, and comprehensive placement assistance.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Learning experience combines live online masterclasses by top industry experts with practical application through case studies and project work. The hybrid learning model includes weekly live sessions, interactive AI simulation exercises, and hands-on experience with current-generation tools and technologies. Campus immersion provides specialized workshops, one-on-one faculty consultations, networking opportunities, and access to on-campus resources and facilities.
University Experience
The program provides access to IIT Jodhpur's prestigious academic environment and alumni network. Students gain IIT alumni status upon completion and benefit from the institution's reputation as a top 30 engineering institute in India. The university experience includes mentorship from renowned faculty like Dr. Dip Sankar Banerjee and Dr. Subhash Bhagat, access to cutting-edge research facilities, and networking opportunities with industry leaders and fellow professionals.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Loading alumni...
About the University
Established in 2008, Indian Institute of Technology Jodhpur (IIT Jodhpur) is one of the premier institutions in India dedicated to advanced technology education and research. Located on an expansive 852-acre campus along NH 62 in Rajasthan, IIT Jodhpur embodies a multidisciplinary ethos and a forward-thinking approach. The institute is recognized as an Institute of National Importance by the Government of India and forms part of the elite network of IITs noted for their rigorous academics, high-impact research, and industry relevance. IIT Jodhpur operates through several departments and schools and offers undergraduate, postgraduate, and doctoral degrees across engineering, science, management, and design. The institution promotes a vibrant student life, opportunities for holistic development, and a strong platform for innovation and community engagement
#28
NIRF India Engineering Rank 2024
#68
NIRF India Overall Rank 2024
#30
NIRF India Engineering Rank 2023
Affiliation & Recognition
National Institute of National Importance
National Institutional Ranking Framework
Government of india
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Associate Professor, Department of Computer Science and Engineering
Dr. Dip Sankar Banerjee’s active research includes parallel computing, graph algorithms, social network analysis, bioinformatics, and genomic data analysis. He also works on runtime design, approximate computing, accelerators design, memory design, neuromorphic architectures, programming models, and hardware security. His projects often focus on interdisciplinary applications spanning computational sciences, life sciences, and medical technology.
Assistant Professor, Department of Mathematics
Dr. Bhagat’s research is centered on the design and analysis of distributed algorithms with applications in swarm robotics and autonomous systems. Additional interests include IoRT and security measures for distributed computing environments. Prior to joining IIT Jodhpur, he held postdoctoral fellowships at leading Canadian universities, focusing on coordination problems in robotic systems and distributed computation
Career services
IIT Jodhpur maintains a comprehensive and highly effective career services ecosystem, dedicated to ensuring that students and recent graduates transition seamlessly into professional careers or advanced studies. The Career Development and Placement Cell actively supports students with resume building, aptitude and soft skills workshops, mock interviews, and one-on-one mentoring. It organizes pre-placement talks, career fairs, summer internship drives, and regular information sessions on industry trends, thus maximizing exposure to recruiters from diverse sectors. From the 5th semester, students are eligible for structured internships, which play a critical role in practical skill development and early career networking. Job placement assistance begins in earnest during the 7th semester, with opportunities across leading multinational firms and innovative Indian startups. Alumni and industry networking is a central feature, bolstered by seminars, guest lectures, and alumni engagement programs, helping foster long-term relationships and providing valuable real-world insights. The university routinely coordinates with over 280+ recruiters, and the placement team ensures job profiles offered are in sync with students' aspirations and academic specialization.
85LPA
Highest package
280+
Number of recruiting companies (2024)
380+
Number of job offers UG2024
Top Recruiters
Course Start Date:
January, 2026
Application Deadline:
15th Jan, 2026
Duration:
12 Months
₹ 3,35,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.