School of Computational & Integrative Sciences

Jawaharlal Nehru University

Teaching & Research

in the inter-disciplinary areas

School of Computational & Integrative Sciences
Jawaharlal Nehru University
Academic Programmes

Innovate and Integrate

computational and analytical approaches

Jawaharlal Nehru University is world pioneer in Academic Research.
Our Faculty

Rapid Advancement

in science and the cutting edge technologies

High Performance Computing Facility
Facilities

About

Erstwhile the School of Information Technology (SIT) established in the year 2001 and renamed as School of Computational and Integrative Sciences (SC&IS) in 2010, the School carries out teaching and research in the inter-disciplinary areas of computational genomics, bioinformatics & drug discovery, database management & systems biology, high performance computing and artificial intelligence. The aim of the School is to innovate and integrate computational and analytical approaches adopted in different branches of sciences to find solutions. Rapid advancement in science and the cutting edge technologies enable and drive research in a big way, providing the opportunity to innovate. The School’s academic and research programs are currently focused on the core area of computational and systems biology with future emphasis on the study of complex systems, high density data analysis, theoretical biophysical chemistry and computational neurosciences.
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.

  • Computational Genomics and Next Generation Sequencing.
  • Applied data analytics and machine learning.
  • Plant Biology: Genomics, Epigenomics and Genome Editing Single Cell Genomics,
  • Multi-omics and Systems Biology.
  • Cheminformatics and Drug Discovery.
  • Genome-wide Application of Information Theory and Pattern Recognition Methods.
  • DNA-Protein Interactions.
  • Nucleosome Dynamics.
  • Genome Organisation and Function Biomechanics.
  • Mathematical Modeling of the biological systems.
  • Stochastic and Nonlinear Dynamics Applied to Biological Systems.
  • Monte Carlo Simulation Techniques to Explore the Energy Landscape of Water Clusters and Biomolecules Structure.
  • Function, dynamics of calcium-binding proteins.
  • Development of a Bacterial Cell Model: diffusion and hydrodynamics.
  • Effect of Molecular Crowding on Biomolecular Systems.
  • Mathematical biology.
  • Graph Theory and Petri-Nets optimization techniques.
  • Application of Network Theory in Social and Financial Systems.
  • Econophysics and Sociophysics- Application of Physics to Model Socio-Economic Systems.
  • Wireless communication and Applications in Biology, including wearable/implantable devices as antennas/sensors.
  • High Performance Computing and Cyber infrastructure.
  • Biomolecular Interactions, nano- and bio-sensor for clinical, food and environment applications.

Recent Circulars & Notices

Upcoming Events

Academic Programmes

The School has been offering programs in Computational & Systems Biology and Bioinformatics, Complex Systems & Big Data Analysis. The School has encouraged intake from multiple disciplines into these programs - Information Technology, Bioinformatics, the Life Sciences/Biotechnology, the Physical and Chemical Sciences, among others.
Ph.D in Computational and Integrative Sciences
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Ph.D in Computational and Integrative Sciences

The School encourages intake from multiple disciplines into all its programs of study, which are grouped with independently specified intake requirements....

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M.Sc in Computational and Integrative Sciences
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M.Sc in Computational and Integrative Sciences

The School runs an MSc program in Computational and Integrative Sciences, With a specialization in either Computational Biology or Complex Systems....

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P.G. Diploma in Big Data Analytics
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P.G. Diploma in Big Data Analytics

with specialization in Biological Big Data. This skill development program is aimed at training postgraduates in the upcoming field of Big Data analytics in life sciences and health....

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DBT-BioInformatics Centre

The School is recognized by the Department of Biotechnology (DBT) - GOI, as a Bio-Informatics Centre.

BIC-SCIS,JNU
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ALUMNI SPEAKS

Our students excel around the globe

SCIS gave me the freedom to explore the new ares in research. It allowed me to collaborate with new researchers. The best research environment and resources I got here. (Ph.D - 2020)
Shakti Nath Singh
Shakti Nath Singh
RESEARCH ASSOCIATE (ICMR)
SCIS provided me a descent computational infrastructure facility for carrying my PhD work. (Ph.D - 2018)
Deepak R. Bharti
Deepak R. Bharti
Postdoctoral Research Fellow, School of Medicine, Trinity College Dublin
My both supervisors guided me to develop myself as a researcher. Their guidance has undoubtedly shaped my career. Their expertise in computational biology helped me to develop my niche in peptide based drug designing. Besides, they also promoted me to develop skill sets in experimental settings. (Ph.D - 2019)
Lokesh Nigam
Lokesh Nigam
Post Doc, City of Hope, Duarte, CA
SCIS has provided the right platform with very supportive teachers for the knowledge-building and growth of my career. (Ph.D - 2021)
Saurav Mandal
Saurav Mandal
Scientist B, ICMR
My education at SCIS was the building block in framing my career ahead. SCIS is like a small family that supports its student to do the best in their lives and I am glad to be a part of this family. (Ph.D - 2022)
Geet Madhukar
Geet Madhukar
Post Doc, University of Arkansas for Medical Sciences, Little Rock, Arkansas, U.S.
I have gained knowledge, skills and experience in computational biology and Bioinformatics. These skills gave me a major boost of confidence in implementing my knowledge in all the research projects I have worked on till now. (Ph.D - 2015)
Reema Singh
Reema Singh
Bioinformatician and Data Manager, Vaccine and Infectious Disease Organization,University of Saskatchewan, Canada
SCIS is a wonderful place to learn. It helps me to explore my potential in the field of research. (M.Tech- 2014)
Tarun Kumar Gupta
Tarun Kumar Gupta
Assistant Professor, Department Of Computer Science, Miranda House, University of Delhi
Motivated me towards complex systems and computational biology. (M.Sc- 2017)
Bodhayan Prasad
Bodhayan Prasad
Ph.D, Ulster University, UK
I have learned sequence analysis, protein structure modeling, docking, and simulation at SCIS. I have worked on many projects at ICMR-NIMR and earned more than ten publications during the course of my Ph.D. I have also received a Swiss Government fellowship to research Bioinformatics at the University of Bern, Switzerland. (M.Tech- 2012)
Sonia Verma
Sonia Verma
Research Associate, ICMR-National Institute of Malaria Research