IIT Tirupati Ph.D: Fees 2025, Course Duration, Dates, Eligibility

IIT Tirupati PhD admission 2023 is ongoing now. Candidates seeking admission to the PhD program of IIT Tirupati can apply before April 19, 2023. The college will conduct department wise written test and Interview as per schedule mentioned below. 

IIT Tirupati Ph.D Important Dates 2023

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IIT Tirupati PhD Eligibility Criteria

• Candidates need to have a Master’s degree in the relevant specialisation or an impeccable record in their research-based master’s studies.
• Candidates should have a valid score of GATE/ UGC-NET/ CSIR-NET/ ICAR or ICMR score or written Test and interview.

Humanities & Social Sciences

• Candidates need to have a master's degree in an eligible discipline with an impeccable academic record or equivalent and having a valid GATE score or UGC/ CSIR - NET/ NBHM or equivalent qualification.

Engineering & Sciences

• For Engineering/ Candidates must have a ME/ MTech. or MS degree by Research in engineering or 2-year M.Sc. from IITs (entry through JAM) with CGPA 8.0 and above/ BS+MS (5 years integrated) from any centrally funded institute.
• Candidates having a Master’s degree in Engineering/ Technology or a Master’s degree by Research in Engineering/ Technology and have a good academic record.
• Candidates should have a master's degree in Sciences with a good academic record and having a valid GATE score or UGC/ CSIR-NET/ NBHM/ INSPIRE/ JEST or any other equivalent qualification.

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IIT Tirupati Ph.D Admission Guidelines

IIT Tirupati selects students for its PhD program based on their academic scores and performance in the PI round. The admission committee calls candidates with good academic scores for PI round. Based on the academic record and the performance of the candidates in the interview and/or test, the Selection Committee recommends to the Chairman, Senate the names of candidates for admission.

How to apply?

• Students can take admission in IIT Tirupati Ph.D programs by applying online at the Institute website: iittp.ac.in.
• Advertisement is published on the website in March for admission in PhD programs.
• Fill the form with the required details and take a printout and keep it for records.
• Pay the online application fee of INR 400 (general), INR 200 (female) and INR 200 for SC/ ST/ PwD candidates.
• Selected candidates will be called for an interview with relevant documents and certificates. 

Documents Needed

• Identification Card
• Previous qualifying exams mark sheet.
• Passport size photographs

IIT Tirupati PhD Entrance Exam Syllabus

IIT Tirupati Ph.D Course Details

• Chemical Engineering: Nanoporous Materials, Process Control, Machine Learning for Process Systems, Microfluidics, Corrosion Engineering, Heat Transfer in Porous Media, Process Optimization.
• Civil Engineering: Environmental Engineering, Structural Engineering, Water Resources Engineering, Geotechnical Engineering.
• Computer Science & Engineering: Algorithms and Data Structures, Computing for Education, Computer Networks, Cloud Computing, Machine Learning, Multicore Architectures, Parallel Computing, Software Engineering, VLSI Testing, Computational Complexity.
• Electrical Engineering: Semiconductor Devices, Analog and Digital Circuits Design, Electronic Instrumentation, Communication and Networking, Signal Processing, Control & Robotics, Power Electronics and Drives, Digital VLSI Design, Power Engineering and Smart Grid Technology.
• Mechanical Engineering: Fluid Mechanics, Heat Transfer, Turbomachines, Refrigeration and Air-Conditioning, Renewable Energy, Sprays and Combustion, Energy Storage and CFD, Advanced Manufacturing and Micro Machining, Solid Mechanics, Computational Mechanics, Composites, Plasticity, Phase Transformations, Manufacturing, Metrology.
• Organic Chemistry: New innovative methods of development for sustainable organic synthesis by transition metal catalysis, electro- and photo redox catalysis; C-X (X = H, C, O, N) bond activation.
• Bioinorganic Chemistry: Development of functional models (enzyme mimics), Chemical Biology, Protein – Inorganic Hybrid materials and Environmental Chemistry (detoxification of toxic ions and compounds), Coordination & Supramolecular Chemistry.
• Theoretical and Computational Chemistry: Stochasticity in Biochemical processes, Chemical Dynamics and Spectroscopic Modelling, Stochastic thermodynamics, Polymer Translocation, Statistical Mechanics, Quantum Theory of Molecules and Materials (Optoelectronic, Photovoltaics, Photocatalysts, Thermoelectric, Spintronics, etc.).
• Mathematics and Statistics: Analysis: Fractals, Number Theory, Probability and Statistics: Biostatistics, Machine Learning, Environmental Statistics, Statistical Finance, Algebra: Representation theory of Lie algebras.
• Physics: Experimental Condensed Matter Physics (Magnetism, Strongly correlated electron systems, Superconductivity). Molecular and Optical Physics (Laser cooling, Ion trapping, Cavity QED, Nitrogen-Vacancy centres, Auto resonance cooling), Experimental Atomic, Theoretical Condensed Matter Physics (Strongly correlated systems, Quantum transport and periodically driven many-body systems). Theoretical Ultrafast Physics (attosecond physics, light-molecule interaction,).

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