About the School


The School of Computational and Integrative Sciences (SC&IS) has the mandate to promote inter-disciplinary goal-oriented research and innovate in the areas broadly related to computational sciences, such as computational & systems biology; biophysics & simulations, artificial intelligence & neural systems; high density data analysis using mathematics and statistics and expand into other areas in quantitative sciences including economics, finance, neurobiology and epidemiology.

SC&IS - A brief

The School of Computational and Integrative Sciences since 2010 was the culmination of the progress made by the DBT supported Bioinformatics Centre-BIC, since the year 1989 and its up-gradation to the School of Information Technology (SIT) in 2001. The School is recognized by the Department of Biotechnology (DBT) as a Centre of Excellence (COE) in Computational Biology & Bioinformatics and by the University Grants Commission (UGC), in its XI Plan, as a Centre for Complex Systems Studies. An initial effort of the School to provide services through BIC was augmented by the Communication and Information Services (CIS) which facilitates electronic communication, internet facilities, video meetings etc and the High Performance Computational Facility, which scaled computational infrastructure required for the entire university.

Academic Program

  • M.Sc. in Computational Biology and Integrative Sciences
  • P.G. Diploma in Big Data Analytics
  • Ph.D in Computational Biology and Bioinformatics / Complex Systems

The academic program of the SC&IS is focused on the core area of Computational and Systems Biology. Efforts are on to understand the Complex-biological, social and economic-Systems with the computational strength within the School and innovate in integrative understanding of such systems. Ph.D. programs are geared towards the faculty driven research activities in the areas of: Comparative Gnomics, Structural Biology, Biophysics, in-silico Drug Design, Biological Evolution, Bio-molecular Simulations, Data Mining & analysis of large Scale Data, Systems Biology, Complex Systems, Crop Genetics & Informatics, Machine/deep learning for Biological Data Analysis, Computational RF and Antenna, Biomolecular Simulations, Computational Biophysics, High-Throughput Sequencing Data Analysis/Genome Informatics & Petri Nets and Graph Theory.


Availability of a High Performance Computing Facility (HPCF) and dedicated high speed connectivity has been established by the School to attend to the needs of teaching and research. Students and research scholars are provided with individual work-stations, using diverse software and hardware resources round the clock. A small library with a good collection of specialized books and journals is also in place. Scientific literature is accessible through the JNU library portal which updates the databases from time to time, keeping in view the research needs. Processes are underway to establish a core group on Computational Modeling to develop simplified description of a system that could be useful for simulation or analysis, enabling to identify patterns that underlie these inter-related systems. Properties, such as emergence, evolution, network, structure and dynamics of the systems are proposed to be investigated in a collaborative environment.