March 14, 2026

IIT Hyderabad Opens Admissions for MTech in AI/ML and Computational Chemical Engineering

March 14, 2026, 6:11 PM Updated: March 14, 2026, 7:25 PM Ronak Choudhary 2 min read
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IIT Hyderabad has launched two new MTech programmes in its Department of Chemical Engineering — MTech in AI/ML in Chemical Engineering and MTech in Computational Chemical Engineering. Both programmes are designed to prepare engineering graduates for emerging roles in process industries by integrating core chemical engineering with artificial intelligence, data science, and advanced computational modelling.

The MTech in AI/ML in Chemical Engineering is described by IIT Hyderabad as India’s first programme of its kind, combining chemical engineering fundamentals with machine learning and data-driven approaches. The Computational Chemical Engineering programme focuses on multiscale modelling and simulation, covering subjects from computational fluid dynamics to molecular modelling. Together, the two programmes reflect the growing demand for engineers who can apply AI and computational tools to industrial challenges in energy, pharmaceuticals, and manufacturing.

IIT Hyderabad New MTech Programmes 2026: Key Details and Curriculum

MTech in AI/ML in Chemical Engineering

This programme integrates core chemical engineering with artificial intelligence, machine learning, and data-driven modelling. IIT Hyderabad has positioned it as India’s first such postgraduate offering.

What the Curriculum Covers

The curriculum trains students to apply advanced algorithms and analytics to real-world engineering problems, including:

  • Process optimisation
  • Materials discovery
  • Reaction engineering
  • Smart manufacturing
  • Sustainable energy systems

The programme is specifically aimed at equipping students with analytical and computational skills applicable to technology-driven manufacturing and energy sectors.

MTech in Computational Chemical Engineering

This programme focuses on multiscale modelling and simulation of chemical processes, combining chemical engineering with mathematics and computing.

Subjects Covered

  • Computational thermodynamics
  • Computational fluid dynamics (CFD)
  • Molecular modelling
  • Reaction modelling
  • Numerical optimisation

The institute has stated that the programme will emphasise simulation-based learning and the use of advanced computational tools used in modern engineering analysis.

Side-by-Side Comparison of Both Programmes

FeatureMTech in AI/ML in Chemical EngineeringMTech in Computational Chemical Engineering
Core FocusAI, ML, and data-driven modellingMultiscale modelling and simulation
Key SubjectsAlgorithms, process optimisation, smart manufacturingCFD, molecular modelling, computational thermodynamics
Unique DistinctionIndia’s first of its kindSimulation-based learning emphasis
Industry SectorsEnergy, advanced manufacturing, technologyChemicals, pharmaceuticals, digital manufacturing
Common FeaturesResearch component, hands-on training, industry interactionResearch component, hands-on training, industry interaction

Career Opportunities After These Programmes

Both programmes include research components, hands-on computational training, and direct industry interaction. According to IIT Hyderabad, graduates will be equipped for roles in sectors such as:

  • Chemicals and petrochemicals
  • Pharmaceuticals
  • Energy (conventional and renewable)
  • Advanced materials
  • Digital and smart manufacturing

The programmes are built around the growing integration of AI and computational techniques in chemical and process engineering, particularly in areas involving data-driven industrial operations and process optimisation.

Written by Ronak Choudhary 11 posts

Ronak Choudhary is an Indian education news expert specializing in entrance exams, government recruitment updates, college timetables, and academic developments across the country. With a sharp focus on the information students and job seekers need most, Ronak delivers timely, accurate, and easy-to-follow coverage of India's ever-evolving education and recruitment landscape.

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