Center for Computational Biology

Indraprastha Institute of Information Technology, New Delhi

Symposium on “Fuctional Genomics”

Prof. Jalote, director of IIITD signs MOU with Prf. Ghokhale, director of CSIR-IGIB.

Human logo for IIITD . . . . . .

PhD in CB


The Ph.D. in Computational Biology is intended to facilitate the graduate education at IIITD at the interface of biology and more quantitative sciences and compututation. The program has a strong emphasis on interdisciplinary research that bridges the gap between diverse biological disciplines, and computational fields including algorithm development, numerical analysis and computationally intensive statistics. The focus is on advancement of fundamental research through recognition of common needs such as personalized medicine, drug design, understanding biological networks etc. and goals of researchers and students working on computationally intensive aspects of biological research.

The program allows for specialization within the biological and computational sciences. The biological subareas ranges from Genetic, Macromolecular, Cellular, and Organismal biology. Expertise within one of these is required. The computational subareas are Mathematical science, Computational science, and Programming. Distributed expertise in all three areas is required.

A student who is awarded a Ph.D. in Computational Biology will need to achieve three objectives: (a) demonstrated competence in the disciplines that contribute to the field, (b) depth in at least one computational and one biological aspect of the field, (c) original research, on a topic from one or more of the Computational Biology concentrations.

Students completing the program will be highly competent and knowledgeable in the interdisciplinary area of computational biology that is in great demand in both academic and biotech industry.


Coursework in this program will strive for rigorous training in theoretical and computational approaches (for solving biological problems) and includes algorithms and programming, fundamentals of biology, genetics and bioinformatics, systems and synthetic biology, mathematical modeling, structural bioinformatics, stochastic simulations, statistical data analysis and biophysics. Some recent research oriented topics (such as computational neuroscience, computational immunology, parallel computing, single cell biology and single cell genomics, in silico drug design, personalized medicine) will be covered in advanced courses. Training in practical problems will be provided through summer internship and thesis work. Students having master degree in science discipline need to complete 8 courses. The same for students with engineering background can be relaxed to 6 (assuming they have proficiency in programming and algorithms).

Detail structure of the offered courses can be found here.


Students are expected to make a thesis proposal by the end of their PhD. As part of the thesis proposal, the student will be required to demonstrate depth in at least one concentration, sufficient to carry out fundamental research. The student's Ph.D. committee will decide how this expertise will be evaluated.

Depending on the background an expert committe for each student will propose the list of courses to be taken during coursework. IIITD believes in personalized education, where each student will be equally and carefully supervised to build adequate skills and deep knowledge in their area of research. In addition to the succesful completion of the courseworks, students need to publish at high impact factor international journals. Primary subject areas of a Ph.D. thesis in Computational Biology include: computational genetics, computational macromolecular/structural biology, computational cell biology, computational system biology and computational bioinformatics.


    Entering students may have a diversity of backgrounds. However, we seek the best among various disciplines raning from different branches of basic science to engineering programs.

    BTech / BE / MTech / MS / ME in CS / IT / ECE / EE / Other Eng. CGPA at least 6.5 on a scale of 10 (or equivalent). If your institute does not provide CGPA in the transcript, then at least 60% marks is required to be eligible. MCA/MSc(CS/IT/ECE/EE and allied areas) degree is considered equivalent to the BTech/BE degree. Such students are also eligible to apply with the condition that they have BSc in Computer Science or BSc in any other subject with Mathematics as one of the courses. The marks requirement is same as that given above for BTech/BE degrees.

    MSc in any other science discipline is also eligible for PhD in CB who meets the following requirements:

  • At least 60% marks in both B.Sc and M.Sc.
  • Students must have undertaken at least two years of mathematics at the B.Sc level that includes calculus and algebra.
  • A Valid NET/GATE score is essential for a PhD aspirant in CB at IIITD.
  • Requirements may be relaxed for exceptional candidates with publications/ R&D/software development experience in their area of interest or those from institutes of national and international repute.

IIIT-Delhi provides relaxation to SC, ST, OBC, PwD and CW category candidates. They must have CGAP of 5.5 out of 10 or 55% in all degree. Note: Candidates who are appearing in the final examination are also eligible to apply. They are required to give their last CGPA/aggregate percentage of marks.


Based on initial selection, IIIT-Delhi conducts a Test followed by an interview in its campus. For more information, see here .