SCIS: Program of Study

ADMISSIONS TO ALL PROGRAMMES FOR THE 2018-19 SESSION IS OPEN. LAST DATE : 13-10-2017. 

Link to admission portal 

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.

The M.Sc is a unique programme with a mixed student intake from the Life sciences, Physical sciences and Engineering sciences. The specialization in computaional biology introduces topical skills in high demand such as Omics Analysis, Molecular Dynamics Simulations with Drug Discovery and Systems Biology while the specialization  in complex systems inroduces advanced topics such as non-linear dynamics / statistical mechanics applications in complex systems &  computational finance.

Eligibility

Bachelors degree in any branch of Basic & Applied Science OR Technology, including Medicine and Engineering disciplines.
Minimum of 55% in the qualifying degree. Candidates will be selected through Entrance Exam followed by Interview.

Duration

  1. The course work leading to the award of a M.Sc. in Computational and Integrative Sciences shall be for a period of four semesters (two monsoon and two winter semesters) with a compulsory requirement for submission of a research-based dissertation at the end of the fourth semester.
  2. A student who successfully completes the first two years of the M.Sc.-Ph.D. integrated program (M.Sc. phase) with a CGPA of 4.0 and above would be awarded a M.Sc. degree.

Credit requirements

A student will need to have a minimum of 72 credits, including 9 credits for the dissertation at the end of two years in order to be eligible for the award of the M.Sc. degree.

Distribution of credits
Courses (C) +Tutorials (T)=48+6
Laboratory=6
Research Methodology=3
Research Project=9
Total Credits=72

Intake

Depending on the faculty strength, the intake will be up to a maximum of 18 students per year, 9 in each stream.

Fellowship

Rs.5000/pm by Department of Biotechnology (DBT)  

P.G. Diploma in Big Data Analytics

Data Sciences is currently the most sought after discipline by employers globally with a wide range of applications. This is a sponsored skill-development program of the Department of Biotechnology, and is aimed at training post graduates in the upcoming field of Big Data analytics for the life  and medical sciences. Trained graduates from this program are expected to learn key technologies of data sciences, including big data collection and warehousing as well as machine learning, data integration and modeling technologies which can be applied in an academic and industry environment in the future. 

There is comman entrance exam for the PG Diploma & Ph.D programme of the school. Candidates are advised to apply for both.

Eligibility 

Admission will be in three tracks based on discipline:  

(1):  Physical Sciences: Physics, Chemistry, Mathematics and related disciplines

(2): Computational Biology/Bioinformatics/Life Sciences: Life Sciences/Biotechnology with an aptitude in informatics; Bioinformatics and Computational Biology

(3):  Engineering/Computer Sciences: Engineering disciplines, including Information Technology, with a stress on disciplines with computational data analytics.   

The School runs a vibrant Ph.D. program, with research in different areas of Computational Biology and Complex Systems. 

 There is comman 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

 

Eligibility

  1. 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.
  2. 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.
  3. 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.

>> Fellowship

Rs.8000/pm by Department of Biotechnology (DBT)

 

The university follows the semester system. Each course is for the duration of one semester and it is assigned a specific number of credits. Ordinarily 1 credit means 1 contact hour per week. JNU follows a continuous system of evaluation.

 

Number of surprise tests/quiz/assignments and the Mid term examination are taken during the semester (sessional). These marks are added to the end-semester examination to derive the final grade.

 

For courses having end semester examination, sessional work will carry the same weight as the end semester examination. Students should not indulge in any form of cheating/malpractice while taking the exams, if found, action will be taken as per rules.

 

Students are graded in each course on a 10 point scale:

 

GradeGrade Point
A+9
A8
A-7
B+6
B5
B-4
C+3
C2
C-1
FFail

Grade points averages such as SGPA/CGPA/FGPA are computed as provided in the ordinance.

Note: There is no rounding of SGPA/CGPA/FGPA and minimum grade point averages are prescribed for various programmes.