IIIT Hyderabad Phd Bioinformatics

I did my Master's degree in Physics and now want to pursue PhD in Bioinformatics at IIIT Hyderabad . What is the procedure to get admission into IIIT Hyderabad for PhD Bioinformatics ? Is there any entrance test or admission based strictly on merit basis of Qualification .

Can you tell me in detail about the PhD in Bioinformatics Program offered by IIIT (International Institute of Information Technology), Hyderabad?

[pooja]

The PhD in Bioinformatics Program offered by IIIT (International Institute of Information Technology), Hyderabad provides opportunity to work on a challenging research problem in the area of Bioinformatics and computational biology.

Duration
3 - 5 years

Eligibility
BE/B Tech in CS/IT/Biotech/Bioinformatics or Master's degree in Programming/ Maths/Sciences.

Admission Process
One from B Tech (CSE)/MSc (Maths) may take Computer Science/Maths as subject paper, while the students from the Sciences background will have CNSB as subject paper which comprises of three sections: Physics, Chemistry and Biology + Bioinformatics, and one, depending on their background are expected to attend any one Section as a major and another section as a minor part.

The questions will be multiple-choice. For outstanding candidates applications are entertained round the year.

Curriculum (Semester-wise)
Breadth requirements:
Breadth requirements are to be satisfied by clearing the following 8 courses, with good grades, in 4 areas outlined below:
Computer Science: Programming + Basics of Databases + ITWS
Courses: Computer Programming
ITWS1A
Problem Solving
Advanced Problem Solving
DBMS

Biology: Equivalent of
Introduction to Biology
Advanced Biology
Chemistry and Structural bioinformatics: Equivalent of
Advanced Biomolecular Architecture
Biomolecular Structure Interactions and Dynamics
Biostatistics and Bioinformatics: Equivalent of
Biostatistics
Introduction to Bioinformatics
Advanced Bioinformatics

List of Courses:

Bioinformatics
Breadth equivalent Programming + ITWS + Basics of Databases
Biostatistics + Introduction to Bioinformatics + Advanced Bioinformatics
Advanced Molecular Architecture/Advanced Biomolecular Architecture + BMSID
Introduction to Biology + Advanced Biology

Possible Electives
(IT) Datastructures, DBMS, Data Mining, AI and Soft Computing, Pattern Recognition

Possible Electives
(Domain) Computational Modeling and Simulation, Structural Bioinformatics, Computer-Aided Drug Design