Teaching and research Programmes in Computational and Systems Biology involve the research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. In addition, research Programmes involve the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. The School has initiated a Programme in Complex Systems which will study the behavior of mathematical, physical, living and social systems, identify patterns that underlie these inter-related systems, and examine properties such as emergence, evolution, network, structure and dynamics of these systems in a competitive environment.
SC&IS is offering a M.Sc degree in Computational and Integrative Sciences with a specialization in either Computational Biology or Complex Systems. The Computational Biology stream will have equivalence to the M.Sc. in Bioinformatics, while the Complex Systems stream will have equivalence to the M.Sc. in Physical Sciences. Additionally, SC&IS also offers admission to its Pre-Ph.D. and Direct Ph.D. Programmes in Computational Biology and Bioinformatics and a newly introduced Advanced PG Diploma in Biological Big Data Analytics. The School has encouraged intake from multiple disciplines into all these Programmes - Information Technology, Engineering Sciences, Bioinformatics, the Life Sciences/Biotechnology, the Physical and Chemical Sciences, among others.
Teaching and research Programmes are ably supported by good computational and communication infrastructure. Each student is provided with a personal workstation, and the School manages a centralised facility for high-performance computers, consisting of computer clusters with multiprocessor nodes, large-memory nodes and GPUs to facilitate specialized research.
M.Sc. degree in Computational and Integrative Sciences
The School runs an MSc program in Computational and Integrative Sciences, funded by the Department of Biotechnology at present with a specialization in either Computational Biology or Complex Systems. The program aims to provide a rigorous training, equipping the students with theoretical understanding and practical mastery in the state-of-art computational and experimental techniques to model and analyze the biological and complex systems. In the first year of the program, the students are provided with the conceptual knowledge in the biological sciences, computer programming, physical sciences, mathematics, and statistics including data analytical skills required in the new phase of analysis and understanding of large-scale data. In the second year, the students are familiarized with advanced skill sets, including methods in omics, big data analytics, mathematical modelling and computer simulation etc. followed by specialized research projects that apply the core skills taught in the previous semesters.
The curriculum leading to the award of M. Sc. degree is spread over a period of four semesters – one Monsoon Semester and one Winter Semester in each year. In addition, a project/dissertation work will be executed and a report to be submitted by the student at the end of the 2nd year.
|Sub. Code & Sub. Code Number||Eligibility|
|Computation and Integrative Sciences - CISM (232)||Admissions will be through the GRADUATE APTITUDE TEST - BIOTECHNOLOGY (GATB) examination conducted by the DBT. (For details on admission, prospective candidates may visit the Regional Centre for Biotechnology (RCB), Faridabad/DBT/JNU website)|
Course Structure : Download
P.G. Diploma in Big Data Analytics
Post-Graduate Diploma in Big Data Analytics (PGD), 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. The trained graduates from this program are expected to learn key technologies of data sciences, such as machine learning, data integration and modeling technologies, which can be applied in an academic, and industry environment in the future.
The curricular work leading to the award of Post- Graduate Diploma is spread over a period of two semesters – one Monsoon Semester and one Winter Semester with a provision of a project report to be submitted by student at the end of the Winter Semester. The admissions to PGD program is through Entrance Examination.
ADMISSION TO PROGRAMMES OF STUDY- For admissions, to PGD programs is through Entrance Examination.
Name of School
Sub. Code & Sub. Code Number
NTA Test paper code
School of Computation al and Integrative Sciences (SC&IS)
Post-Graduate Diploma in Big Data Analytics - PGDT (191)
M.Sc/B.Tech/B.E. in Physics/ Chemistry/ Mathematics/Computer Science/ Statistics/ Operations research/ Life Sciences/ Biotechnology/ Bioinformatics/ related disciplines in engineering, physical, and biological sciences. Minimum of 55% in the qualifying degree.
Course Structure - Download
The School runs a vibrant Ph.D. program, with research in different areas of Computational Biology and Complex Systems.
There is common entrance exam for the PG Diploma & Ph.D programme of the school. Candidates are advised to apply for both.
Some of the frontier areas of research conducted at the School are:
Computational Genomics and Next Generation Sequencing Plant Biology: Genomics and Epigenomics of Abiotic Stress and Development
Application of Omics Technologies and Crop Genetics to Feedstock Improvement for Biofuels
Cheminformatics and Drug Discovery
Genome-wide Application of Information Theory and Pattern Recognition Methods
Intelligent Systems and Machine Learning DNA-Protein Interactions
Chromatic Conformational Dynamics
Biomechanics and Mathematical Modelling of the Cardiovascular System
Stochastic and Nonlinear Dynamics Applied to Biological Systems
Monte Carlo Simulation Techniques to Explore the Energy Landscape of Water Clusters and Biomolecules.
Development of a Bacterial Cell Model: diffusion and hydrodynamics.
Effect of Molecular Crowding on Biomolecular Systems.
Application of Graph Theory and Petri-Nets
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 Cyberinfrastructure
- Category I: Master’s Degree in any branch of Sciences such as Biology, Chemistry, Bioinformatics, Mathematics, Physics Statistics, computer Science/MCA. OR MBBS or BHMS or equivalent degree as recognized by Government Council such as MCI. OR B.Tech. or B.E. or equivalent degree in any branch of Engineering. B.Pharma degree or equivalent. Minimum requirement is 55% marks in the above examinations. Further Mathematics as a subject till class XII is compulsory.
- Category II (JRF-NET Qualified candidates) : Candidates who have qualified the National level Junior Research Fellowship examination through CSIR/UGC National Eligibility Test (NET), “BINC”, “DBT”, “ICMR” are eligible to apply. Minimum requirement is 55% marks in the above examinations. Further Mathematics as a subject till class XII is compulsory.
- Category III (M.Phil/Equivalent qualified candidates) : Two years M.Phil./M.Tech. degree OR one year M.Phil. in the related field like science, engineering, medical and pharmaceutical science with additional one year research experience and one publication. OR two years research experience after Master's Degree/BE/B.Tech. OR Candidates with Advanced Diploma (after M.Sc Degree) in Bioinformatics are also eligible. Minimum requirement is 55% marks or equivalent FGPA required.
(i) Depending upon the individual cases the Committee for Advanced Studies and Research (Special committee) may prescribe some courses.
(ii) If a course work is prescribed as credit courses for direct Ph.D , student he/she needs to secure : Ist Semester - 5.50 for General students & 5.0 for SC/ST students for confirmation to the Ph.D. IInd Semester 6.50 for confirmation to the Ph.D programme. For SC/ST students needs to secure 6.0 for confirmation to the Ph.D. Please note that seminar/reading course are considered as credit/grade will be given to the final result.
(iii) The title and the synopsis of the thesis work has to be approved by the Special Committee (board of studies) and the progress of the work is monitored through the Doctoral Committee.
(iv) The Ph.D thesis will be evaluated by two external examiners and based on the positive recommendations of both the examiners, a student is required to appear in the viva-voce examination to defend the thesis and based on the viva performance the degree is recommended and awarded.
Selection of students to these programmes is through the JNU entrance examina-tion/interview. Please see the official JNU web site http://jnu.ac.in for more information on eligibility, exam schedule , fees, etc.