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Programme offered
The School of Science offers following programmes under the CBCS credit system. All the curriculums offered at the School of Science are designed in such a way to generate a pool of highly qualified scientific talent who can fulfil the needs of society, institutions as well as the demands in an industry setting. Thus the programs ensure employability; address global demands and community development.
Post Graduate Programmes
School of Sciences offers the Post Graduate Programme in Statistics, Computer Science and Bio-Chemistry in which Bio-chemistry and Statistic are based on Semester wise examination system while the Computer Science follows semester system.
Objective of the Programmes
The two year M.Sc./M.A. programme is designed to help all the students to get good quality education in the field of Statistics and Biochemistry so that they can find employment after their Post graduation. The curriculum intends to open new doors of systematic knowledge of the subject to the students having graduation in science. The objectives of this programme are to prepare the incumbents to take the challenges of research and developments in the fields of science.
Subjects :
- Bio-Chemistry
- Computer Science
- Statistics
(Note: Before Academic Session 2020-21; M.Sc. (Bio-Chemistry) and M.Sc. / M.A. (Statistics) were used to run as Annual Programme.)
M.Sc. Biochemistry (PGBCH)
| Admission Procedure |
Direct |
Duration In Years |
Min. |
2 |
Max. |
4 |
| Assignment |
Essential (Click Here) |
Medium (Eng./Hindi) |
English |
| Fee (in Rs.) |
Rs. 9000.00 p.a. |
Syllabus |
2018-19
2020-21
2023 Onwards (as per NEP 2020) |
| SLM |
Download (Click Here) |
New/Revised Programme |
Revised (2015) |
| Rules/Guidelines |
(2020-2023) |
(2023 onwards)(as per NEP 2020) |
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| Eligibility |
Bachelor degree in concerned subject (B.Sc. (Bio) /B.Sc.(Honors) with Chemistry as one of the subject) OR Biochemsitry / Microbiology / Biotechnology at B.Sc. Level OR Any 4 year Graduate Degree in Medical Sciences. Fee (in Rs.)Rs. 8200.00 p.a. |
Programme Outcomes:
| PO1 |
It is expected that each student will understanding the molecular logic of life and being able to participate in the acquisition of this knowledge is integral to the liberal education. |
| PO2 |
It is expected that each student is independent in their thought processes after the course and can make a choice of their subsequent career. |
| PO3 |
It is expected that each student will ale to learn about physiology and metabolic process of human being. |
| PO4 |
It is expected to build on their knowledge and understanding in tackling more advanced and specialized courses, and more widely to pursue independent, self-directed and critical learning. |
| PO5 |
This program helps to student to develop research, analytical, presentation skills and advanced scientific methods. |
| PO6 |
This program makes student self-reliant y running diagnostic centre through apply practical and theoretical concept of biochemistry. |
M.Sc. (Statistics)(PGSTAT) and M. A. (Statistics) (MASTAT)
Programme Outcomes:
| PO1 |
Gain sound knowledge in theoretical and practical aspects of Statistics. Describe complex statistical ideas to non-statisticians. Handle and analyse large databases with computer skills and use their results and interpretations to make practical suggestions for improvement. Get wide range of job opportunities in industry as well as in government sector. |
| PO2 |
The aim of the course is to pay a special attention to applications of measure theory in the probability theory, understanding of Weak Law of Large numbers, Strong Law of Large Numbers and the Central Limit Theorem with their applications. to provide a thorough theoretical grounding in different type of distributions, non-central distributions, censoring, delta method, robust procedures etc. |
| PO3 |
To make learners aware of estimation (point, as well as, interval) and testing (simple, as well as, composite hypotheses) procedures. To make aware the learners of parametric, non-parametric and sequential estimation (point, as well as, interval) and testing (simple, as well as, composite hypotheses) procedures. To make learners aware of estimation (point, as well as, interval) and testing (simple, as well as, composite hypotheses) procedures. |
| PO4 |
This programme provides the learner the ability to understand the design and conduct experiments, as well as to analyze and interpret data. To provide learners the ability to learn and use linear and non-linear models for normal data, and generalized linear models for normal and non-normal responses. And also to equip learners to apply experimental design techniques in real world problems and in research. |
| PO5 |
To learn techniques in survey sampling with practical applications in daily life this would be beneficial for the learners to their further research. The objective of this is to provide advanced techniques in survey sampling with practical applications in daily life and to provide accessible statistical tool for applying sampling strategies and methodologies. |
| PO6 |
To develop awareness for the use of stochastic models for representing random phenomena evolving in time such as inventory or queuing situations or stock prices behavior. Survival analysis and Reliability Theory is one area of Statistics that concerns itself with the application of statistical methods to medical, biological, epidemiological and health related problems. |
| PO7 |
To introduce learners the knowledge of real field and complex field with their properties and relativity between complex plane and real line. These properties and relations provide grounds for Probability Theory and help in theoretical research in Statistics. |
| PO8 |
To provide the understanding of the fundamentals of decision theory and Bayesian inference including concept of subjectivity and priors by examining some simple Bayesian models and linear regression in a Bayesian framework. |
| PO9 |
To introduce learners to the analysis of observations on several correlated random variables for a number of individuals. Such analysis becomes necessary in Anthropology, Psychology, Biology, Medicine, Education, Agriculture and Economics when one deals with several variables simultaneously. To learn statistical techniques useful for research work. To understand the quantitative methods used in Social, educational, business and management studies. |
| PO10 |
This course will provide the ability to learn the fundamentals of the most relevant nonparametric techniques for statistical inference. The objective of this course is to make the learners aware of the properties and applications of order statistics. |
| PO 11 |
To study more advanced topics in econometrics and time series. To introduce quantitative and model based techniques for model formulation and effective decision–making. |
| PO 12 |
To describe current population trends, in terms of fertility, mortality and population growth and the concepts of stable and stationary population. To provide understanding of mathematical challenges from a purely applied perspective for a majority of random processes in terms of sequence of event-time pairs. |
| PO 13 |
To understand the concept of all theories and their practical knowledge. This program will give a complete knowledge about the audit sampling, audit risk, official and Bio statistics. |
| PO 14 |
To introduce some advanced statistical computing techniques to extract information, visualization and knowledge about various industries. To learn the principles and methods of data analysis. To provide a basic understanding of methods of analysing data from different fields. To learn R software. The main objective of this course is to allow the learners to learn the advanced techniques of modeling real data from diverse discipline |
M.Sc. (Computer Science) (MCS)
Objective:
The two year M.Sc programme, M.Sc.(CS), is designed to provide a postgraduate and core level knowledge in computer science help all the students to understanding, analysis, management, and handling of real life information technology problems in workplace. The programme provides a positive attitude towards and willingness to communicate and cooperate effectively and take up leadership opportunities.
Programme Outcomes:
| PO 1 |
Graduates will have an ability to identify, formulate and implement computing solutions. |
| PO 2 |
Graduates will have an ability to design and conduct experiments, analyze and interpret data |
| PO 3 |
Graduates will be able to design a system, component or process as per needs and specification.
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| PO 4 |
Graduates will have the skill to work on multidisciplinary tasks and will be aware of the new and emerging disciplines. |
| PO 5 |
Graduates willdemonstrate skills to use modern tools, software and equipment to analyze problems. |
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