The School of Computational and Integrative Sciences (SCI&S), Jawaharlal Nehru University, The School offers Master’s degree (M. Sc.) in Computational and Integrative Sciences, Post-Graduate Diploma (PGD) in Big Data Analytics and Ph.D. degree. All the teaching and research programmes implemented in the School have been conceptualized as interdisciplinary programs. The major objective of the School is to develop and apply computational methods in different disciplines, particularly biological data. This mission is reflected in the diverse faculty profile of the school which comprises researchers from fields as varied as Genomics, Computational Biology, Plant Biology, Complex Systems, Theoretical and Computational Chemistry, Petri nets and Graph Theory, Mathematical Biology, Bio- & Nano- molecular Interactions, Biosensors, Statistical Data Analysis and Modeling, Computational Radio Frequency and Microwave, Antenna applications for Biomedical application.
The teaching and research programs in Computational and Systems Biology involve research, development, and application of computational tools and approaches for expanding the use of biological, agricultural, medical, behavioural or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. In addition, research programs involve the development and application of data analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems. The School has initiated a program in Complex Systems which will study the behaviour of mathematical, physical, living and social systems, identify patterns that underlie these interrelated systems, and examine properties such as emergence, evolution, network, structure and dynamics of these systems in a competitive environment.
Highlights of Teaching Programme:
- - Experienced Faculty Members with national and international recognitions
- - Continuous review and updating of the academic programs
- - Well-equipped laboratory to provide ‘hands-on’ training
- - In-house project/dissertation research work
- - Strong mentoring programme and successful placements of students in India and abroad
M.Sc. degree in Computational and Integrative Sciences
The School runs a M. Sc. program in Computational and Integrative Sciences with specializations in Computational Biology and Complex Systems. The admission to the M. Sc. program is through two different modes as per details given in the admission procedure, one of which is supported by the Department of Biotechnology (DBT), Government of India.
The program aims to provide a rigorous training and equipping the students with theoretical understanding and practical mastery in state-of-art applications of computational approaches and experimental techniques to model and analyze the biological and complex systems. In the first year of the program, the students are provided with conceptual knowledge in the physical sciences, biological sciences, mathematics, and statistics including data analytical skills required in the new phase of analysis and understanding of large-scale data. In the last year, students will be familiarized with computational skills, including methods in omics, mathematical modelling and computer simulation etc. followed by specialized research projects that apply the core skills taught in the previous semesters.
The curricular work leading to the award of M. Sc. degree shall be spread over a period of four semesters – one Monsoon Semester and one Winter Semester in each year, including both theory and laboratory courses. In addition, the students execute a research project/dissertation work in the last two semesters on a specific topic under the supervision of a faculty member and submit the report for evaluation followed by oral presentation defending the project/dissertation.
ADMISSION PROCEDURE
Students are admitted to the M.Sc. (Computational & Integrative Sciences) program each year on the basis of their performance in the nation-wide entrance tests conducted by GAT-B and/or JNU as per the DBT and university rules.
Admission to the M. Sc. program in Computational & Integrative Sciences is through both GAT-B examination conducted by DBT and the Entrance Examination.
M.Sc. (Through GAT-B*)
|
Name of School |
Eligibility |
|
Computational and Integrative Sciences (SC&IS) |
A minimum of 55% marks in Bachelor’s degree in any branch of Basic and Applied Science or Technology, including medicine and engineering disciplines. Admissions will be through the GRADUATE APTITUDE TEST - BIOTECHNOLOGY (GAT-B) examination conducted by the DBT.
(For details on admission, prospective candidates may visit the JNU/DBT website) |
*The students admitted through the GAT-B examination will be provided with fellowship as per DBT norms
M.Sc. (Through Entrance Examination)
|
Sr. No. |
Name of School |
Sub. Code & Sub. Code Number |
Eligibility |
|
1 |
Computational and Integrative Sciences (SC&IS) |
Computational and Integrative Sciences Track 1 – TROM (232) |
Track 1: A minimum of 55% marks in Bachelor’s degree in Mathematics, Physics, Chemistry, Engineering/ Computer Sciences or related allied areas |
|
2 |
Computational and Integrative Sciences Track 2 – TRIM (238) |
Track 2: A minimum of 55% marks in Bachelor’s degree in Medicine, Biological/Life Sciences or related allied areas. |
P.G. Diploma in Big Data Analytics
The School runs a PGD program in Big Data Analytics. This skill-development program is aimed at training postgraduates in the upcoming field of Big Data analytics for life sciences, health and other areas. The students from this program are expected to learn key technologies of data sciences, such as machine learning, data integration and modelling technologies, which can be applied in academic and industry environment in future. The curricular work leading to the award of Post-Graduate Diploma shall be spread over a period of two semesters – one Monsoon Semester and one Winter Semester. In addition, the students execute a research project/dissertation work in the last semester on a specific topic under the supervision of a faculty member and submit the report for evaluation followed by open oral presentation defending the project/dissertation.
Students are admitted to the PGD program each year on the basis of their performance in the nation-wide entrance test conducted by JNU as per the university rules.
ADMISSION PROCEDURE
Admissions in the PGD programs is through the entrance examination.
|
Name of School |
Sub. Code & Sub. Code Number |
Eligibility |
|
Computational 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.
|
Ph.D. in Computational and Integrative Sciences
The School encourages intake from multiple disciplines into its Ph. D. programme, which are grouped with independently specified intake requirements as-
- (a) Physical Sciences (Track 1)
- (b) Biological Sciences (Track 2) and
- (c) Mathematical and Computer Sciences (Track 3),
to provide an optimal peer-group of analytical, domain and computational skills within each program. The School offers advanced courses for the Ph.D. students to complete the credit requirements as per the UGC/University guidelines.
The research programs are supported by good computational and communication infrastructure. Each student is provided with a desktop/workstation, and the School manages a centralized facility for high-performance computers, consisting of computer clusters with multiprocessor nodes, large-memory nodes and GPUs to facilitate specialized research. The school takes pride in being among the country’s best institutions in imparting high-value employability-related skills to its students such as in genomics data analytics, multiscale molecular simulations, data science and financial modelling and simulation.
Areas of Research
Some of the frontier areas of research conducted at the School are:
- - 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
- - Biomolecular Interactions
- - Genome Organisation, Function and Diseases
- - Multiscale Simulations
- - Biomechanics and Mathematical Modelling 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, Indian Ancient Mathematics.
- - Application of Network Theory in Social and Financial Systems.
- - High Performance Computing and Cyber infrastructure
Admission Procedure
The admission to Ph.D. program is through entrance examination followed by viva-voce/interview as per university guidelines. In addition, students who have cleared the National Eligibility Test & hold a Junior Research Fellowship (JRF) may be invited directly for the viva-voce/interview for admission to Ph.D. program as per university guidelines.
Admission to the Ph. D programme at SCIS in under the three tracks as below:-
Track 1: Physical Sciences: Physics, Chemistry and related disciplines.
Track 2: Biological Sciences: Life Sciences, Biotechnology and related disciplines with an aptitude in informatics; Bioinformatics and Computational Biology.
Track 3: Mathematical and Computer Sciences: Mathematics/Statistics, Computer Sciences including Information Technology with emphasis on data analytics.
- - The use of the word “Track” in this document is solely for the purpose of grouping disciplines for the purpose of Entrance examination and admission to various programs.
- - Candidates applying for Ph.D. programme are allowed to exercise only one track for each programme based on their previous academic disciplines. Separate merit list will be prepared for admission to each track and candidates would be offered admission accordingly.
|
Sr. No. |
Name of School |
Sub. Code & Sub. Code Number |
Eligibility |
|
1. |
Computational and Integrative Sciences (SC&IS) |
Computational Biology and Bioinformatics – Track 1 – TROH (903) |
M.Sc in Physics/ Chemistry/ Mathematics/ Computer Science/ Statistics/ Operations research/ Life Sciences/Biotechnology/ Bioinformatics/ engineering and related disciplines with minimum of 55% marks in the qualifying degree or its equivalent grade in a point scale wherever grading system is followed. A candidate seeking admission after a 4-year/8-semester bachelor’s degree programme in Physics/ Chemistry/ Mathematics/ Computer Science/ Statistics/ Operations research/ Life Sciences/Biotechnology/ Bioinformatics/ engineering and related disciplines should have a minimum of 75% marks in aggregate or its equivalent grade on a point scale wherever the grading system is followed.
Relaxation to SC/ST/OBC (Non creamy layer)/PWD/EWS as per the UGC Regulations 2022.
|
|
2. |
Computational Biology and Bioinformatics – Track 2 – TRTH (909) |
||
|
3. |
Computational Biology and Bioinformatics – Track 3 – TRDH (910) |
Please visit the JNU web site http://jnu.ac.in and JNU Admissions https://jnuee.jnu.ac.in for updates & more information.