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M. Tech. in Materials Science and Technology

M.Tech in Materials Science and Technology is a two-year postgraduate programme open to students from both science and engineering backgrounds. The curriculum is designed to provide a strong foundation in the fundamentals of materials science along with their diverse applications, including aerospace, semiconductors, sensors, energy storage, environmental applications, biomaterials, high-temperature systems, and computational materials science. Students will gain hands-on experience with advanced equipment used for materials characterization.

M. Tech. in Power Electronics

M.Tech in Power Electronics is a 2-year postgraduate program focused on advanced studies in the design, analysis, modelling, and control of power electronic systems. The courses included in this program cover Advanced Switched Mode Power Converters (AC-DC, DC-DC, DC-AC), Power Semiconductor Devices, Grid-Connected Systems, Control of Electric Drives and Digital Signal Processing (DSP) for Power Electronics, and Embedded Systems in Power Electronics, among others.

M. Tech. in Control Systems

M.Tech in Control Systems at IIST is a unique two-year interdisciplinary Masters program aimed at providing due weightage to higher academic studies, R&D, as well as Industrial sectors. This well-structured and focused M.Tech programme, in line with ISRO’s missions and visions, gives a comprehensive exposure to the students in a wide area of systems, control, and computing theory and practice.

M. Tech. in VLSI and Microsystems

The M.Tech. in VLSI and Microsystems is a 2-year full-time post-graduate program specializing in Very Large Scale Integration (VLSI) design and Microelectronics systems. The course enable students to demonstrate advanced mastery in VLSI and microsystems engineering, including low-power design, ASIC development, nanoelectronics, interface electronics, and micro/nanofabrication, achieving a level higher than that required at the bachelors level.

M. Tech. in Digital Signal Processing

The M.Tech.in Digital Signal Processing (DSP) programme is a two-year graduate course offered to students who are passionate about the field of signal processing and allied fields such as communication systems, image processing, machine learning for signal processing, and computer vision. Students will be instructed in subjects based on probability and random processes, estimation and detection, linear algebra, advanced signal analysis, pattern recognition, and machine learning.

Hypersonic Air-Breathing Propulsion

Hypersonic air-breathing propulsion – overview of hypersonic propulsion research – challenges in system design – system performance and analysis – hypersonic intakes – supersonic combustors – expansion systems – engine cooling – liquid air-cycle engines – space plane applications – experimental and testing facilities – CFD applications and simulation exercises.

Microscale and Nanoscale Heat Transfer

Introduction to microscale and nanoscale transport – basic phenomenon of conductive transport in nanoscale – basic aspects of quantum mechanics – basics of kinetic theory and statistical me- chanics – thermodynamic relations – Boltzmann transport equation – microscale heat conduction – basics of electron and phonon transport – thermal conductivity models – Equilibrium breakdown and characterisation of flow regimes in micro and nano scale – continuum approach – heat transfer in Poiseuille microflows – single phase convection in micro channels – rarefied gas flows – Slip models – Burnett and

Turbomachines

Introduction to Turbomachines. Dimensional Analyses and Performance Laws.

Axial Flow Compressors and Fans: Introduction – aero-thermodynamics of flow through an axial flow compressor stage – losses in axial flow compressor stage – losses and blade performance estimation, radial equilibrium equation – design of compressor blades – 2-D blade section design, axial compressor characteristics – multi-staging of compressor characteristics – high Mach number compressor stages – stall and surge phenomenon – low speed ducted fans.

Design and Modeling of Rocket Propulsion System

Elements of rocket propulsion – nozzle design, characteristic parameters, heterogeneous flow analysis – aerothermochemistry of combustion, dissociation, equilibrium composition, adiabatic temperature, and combustion product equilibrium flow nozzle expansion – elements of solid propellant system – internal ballistics and design of solid propellant – grain design and optimization – elements of liquid propulsion system – design and selection of injectors, combustion chambers, nozzle, cooling system, feed systems and tanks – combustion instability, low and high frequency instability and scaling

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