•  Content Creator : Prabhjot
• 2025-07-18

In a significant move to empower working professionals with cutting-edge technological skills, the Indian Institute of Technology Gandhinagar (IITGN) has launched a new e-Masters Degree Programme in Applications of Machine Learning in Engineering. This 2-year postgraduate programme has been designed to equip engineers and professionals with essential machine learning (ML) capabilities required for the fast-evolving industrial and technological landscape.

The most appealing aspect of the programme is its non-requirement of GATE (Graduate Aptitude Test in Engineering) for admission, setting it apart from traditional PG courses and opening doors for a larger pool of eligible candidates. The programme is tailored to working professionals who aspire to transition into high-impact, ML-driven roles in core engineering sectors.

Bridging Engineering and Machine Learning

The programme is meticulously designed to blend core engineering fundamentals with real-world machine learning applications. As industries increasingly integrate smart technologies to enhance efficiency and productivity, the demand for professionals who can apply ML in domains such as manufacturing, automation, energy systems, predictive maintenance, and smart infrastructure is on the rise. IITGN aims to fill this skill gap with the e-Masters programme by nurturing a new breed of engineers proficient in both engineering principles and ML techniques.

Curriculum and Structure

The e-Masters in Applications of Machine Learning in Engineering follows a modular structure comprising six intensive modules, each running for 12–14 weeks. The total credit requirement for the course is 52 credits, strategically distributed to offer a comprehensive and in-depth learning experience.

Each module is carefully curated to provide not only theoretical knowledge but also practical insights. 100% live interactive sessions delivered during evenings and weekends ensure that professionals can engage without disrupting their current work commitments. In addition to the live classes, the programme offers a self-paced learning component, making it highly flexible and learner-centric.

The programme also includes an on-campus residency component, giving participants the opportunity to interact face-to-face with faculty and peers, access IITGN’s world-class resources, and foster a community of collaborative learning.

Unique Features of the Programme

Some of the standout features of the e-Masters programme include:

• Small batch sizes to facilitate personalized attention and active engagement with faculty
• Career development support including mentorship from industry experts and IITGN alumni
• Flexible learning model designed specifically for professionals balancing work and study
• Exclusive IITGN alumni status, offering long-term networking opportunities and brand value

These features ensure that the programme is not just academically rigorous but also practical, dynamic, and supportive of career transitions and advancement.

Eligibility Criteria

To be eligible for this pioneering programme, applicants must possess at least 55% marks or a 5.5 CGPA in relevant academic qualifications, which include:

• BTech/BS (4-year)
• Integrated MSc (5-year)
• MCA/MSc/BS-MS (5-year) or equivalent

Additionally, it is mandatory for applicants to have studied mathematics in Grade 12, ensuring a foundational proficiency essential for mastering ML algorithms and applications.

Fee Structure and Discounts

The total cost of the e-Masters programme is INR9,30,000, broken down as follows:

• Application Fee: INR1,000
• Registration Fee: INR1,50,000
• Tuition Fee: INR7,80,000 (payable in six instalments)

An attractive early bird discount is available for those who apply by 20 June 2025:

• Organisation-sponsored candidates receive a INR45,000 waiver on the registration fee
• Self-sponsored candidates get a INR30,000 waiver

This makes it not only a top-tier academic offering but also a cost-effective investment for professionals and organizations alike looking to upskill.

Application Process

Candidates interested in the programme can apply online through the official website:
https://sites.iitgn.ac.in/iitgnx/applications-of-machine-learning-in-engineering/

The deadline for applications is 5 June 2025. As part of the application, candidates must submit:

• Academic transcripts
• Proof of mathematics in Grade 12
• Completed application form
• Payment of the application fee

The selection process will be holistic, considering academic performance, professional background, and alignment with the programme objectives.

A Gateway to Future-Ready Engineering Careers

The e-Masters in Applications of Machine Learning in Engineering is more than just a degree—it's a career-transforming opportunity for professionals who wish to ride the wave of technological transformation in engineering. As industries continue to lean on data and machine learning for innovation and efficiency, this programme by IIT Gandhinagar stands out as a forward-thinking initiative aimed at developing tomorrow's tech-savvy engineering leaders.

With a world-class faculty, an industry-aligned curriculum, and the flexibility to learn while working, this programme is set to attract engineers across disciplines who are ready to future-proof their careers.

For those looking to redefine their professional journey with one of India’s premier institutes, now is the time to apply