Distance M sc in Biostat

Does Bangalore University provide Distance education in MSC Biostatics?

[Pathak]

The Bangalore university provides Distance education in Master of Science (M.Sc – Mathematics) it does not provide distance education in MSC Biostatics it is a regular degree.

Department of Statistics:
The Department of Statics provides M.Sc. and Ph.D.programmes, promote both theoretical and applied research and publications, develop interaction with Statistical Organisations, R & D Establishments , Industries and other Organisations

Course Offered –

M.Sc. in Statistics
Its Semester Scheme
Duration -4 Semesters (2 years)

Eligibility for M.Sc. in Statistics

Candidate who has passed B.Sc. Degree Examination with Statistics and Mathematics as optional subjects securing a minimum of 50% in the Statistics and a minimum of 40% of any university.

Further details you may Contact
Tel: 080 22961541

Will you give me detail about the M.Sc. Bio Statistics course offered by Bharathiar University in distance education mode ?

[Quick Sam]

Bharathiar University offers M.Sc. Statistics course it not offers M.Sc. Bio Statistics course in distance education mode.

M.Sc. Statistics

Eligibility :

Candidate should pass in B.Sc. Statistics/ B.Sc. Mathematics/B.Sc. Mathematics with Computer Applications along with Statistics as one of the papers.

Program syllabus:
List of Core/Elective/Supportive Subjects to be offered


CORE Subjects
1. Probability Theory 2. Distribution Theory
3. Sampling Theory and Methods 4. Object Oriented Programming with C++ 5. Principles of Insuranc
e 6. Statistical Inference – I 7. Multivariate Analysis 8. Data Mining 9. Financial Mathematics
10. Statistical Practical - I 11. Statistical Inference – II
12. Statistical Quality Control 13. Linear Models and Design of Experiments 14. Operations Research 15. Practice of Life Assurance 16. Stochastic Processes
17. Econometrics 18. Insurance Business Environment
19. Statistical Practical - I 20. Statistical Software Practical 21. Project & VIVA-VOCE


ELECTIVE Subjects (for students of other departments)
1. Bio-Statistics
2. Probability and Statistics
3. Statistics for Management
4. Operations Research Methods
5. Actuarial Statistics

SUPPORTIVE Subjects (for students of other departments)
1. Descriptive Statistics
2. Data Analysis
3. Statistical Methods for Industries
4. Statistical Methods for Researchers
5. Statistical Methods for Biologists
6. Elements of Operations Research
M.Sc. Statistics syllabus
List of Core/Elective/Supportive Subjects to be offered CORE Subjects 1. Probability Theory 2. Distribution Theory 3. Sampling Theory and Methods 4. Object Oriented Programming with C++ 5. Principles of Insurance 6. Statistical Inference – I 7. Multivariate Analysis 8. Data Mining 9. Financial Mathematics 10. Statistical Practical - I 11. Statistical Inference - II 12. Statistical Quality Control 13. Linear Models and Design of Experiments 14. Operations Research 15. Practice of Life Assurance 16. Stochastic Processes 17. Econometrics 18. Insurance Business Environment 19. Statistical Practical - I 20. Statistical Software Practical 21. Project & VIVA-VOCE ELECTIVE Subjects (for students of other departments) 1. Bio-Statistics 2. Probability and Statistics 3. Statistics for Management 4. Operations Research Methods 5. Actuarial Statistics SUPPORTIVE Subjects (for students of other departments) 1. Descriptive Statistics 2. Data Analysis 3. Statistical Methods for Industries 4. Statistical Methods for Researchers 5. Statistical Methods for Biologists 6. Elements of Operations Research
M.Sc. Statistics (Uni.Dept) 2010-11 Annexure : 23 C
BHARATHIAR UNIVERSITY :: COIMBATORE - 641 046 BRANCH II - STATISTICS Course Title: M.Sc. Statistics :: Course Code: (10STAA) For Candidates admitted during 2010-2011 and onwards Course Structure and Scheme of Examinations Semester – I Subject Code Title of the papers Credit Point Int Mark Ext Mark Total Marks 10S13A Probability Theory 4 25 75 100 10S13B Distribution Theory 4 25 75 100 10S13C Sampling Theory and Methods 4 25 75 100 10S13D Object Oriented Programming with C++ 4 25 75 100 10S13E Principles of Insurance 4 25 75 100 Supportive Offered by other Departments 2 12 38 50 Total 22 550 Semester – II Subject Code Title of the papers Credit Point Int Mark Ext Mark Total Marks 10S23A Statistical Inference – I 4 25 75 100 10S23B Multivariate Analysis 4 25 75 100 10S23C Data Mining 4 25 75 100 10S23D Financial Mathematics 4 25 75 100 10S2P1 Statistical Practical – I 4 40 60 100 Supportive Offered by other Departments 2 12 38 50 Total 22 550 Semester – III Subject Code Title of the papers Credit Points Int Mark Ext Mark Total Marks 10S33A Statistical Inference – II 4 25 75 100 10S33B Statistical Quality Control 4 25 75 100 10S33C Linear Models and Design of Experiments 4 25 75 100 10S33D Operations Research 4 25 75 100 10S33E Practice of Life Assurance 4 25 75 100 Supportive Offered by other Departments 2 12 38 50 Total 22 550 Semester – IV Subject Code Title of the papers Credit Points Int Mark Ext Mark Total Marks 10S43A Stochastic Processes 4 25 75 100 10S43B Econometrics 4 25 75 100 10S43C Insurance Business Environment 4 25 75 100 10S4P2 Statistical Practical – II 4 40 60 100 10S4P3 Statistical Software Practical 4 40 60 100 10S4PV Project and viva-voce* 4 25 75 100 Total 24 600 TOTAL MARKS: 2250 TOTAL CREDITS: 90 Core 2100 Core 84 Supportive 150 Supportive 6 *Internal Assessment ( 25%)+Evaluation of Project (50%)+Project viva-voce (25%) : 25+50+25=100
M.Sc. Statistics (Uni.Dept) 2010-11 Annexure : 23 C
SEMESTER – I AIMS: 1. To provide a broad based high quality education with combination of the subjects like Probability Theory, Distribution Theory, Sampling Theory and Methods, Object oriented Programming with C++ and Principles of Insurance to Post-Graduate Degree level for students who have to demonstrate their ability and potential towards Statistical Theory and Applications. 2. To develop knowledge, understanding and experience of the theory, practice and application of selected areas of statistical computing and to produce graduates needed by public and private sector to help and solve practical problems using the skills and techniques of these areas and to develop analytical skills for Insurance Sector. 3. To develop enterprise competences emphasizing the key skills of learning and communication for Statistical theory. OBJECTIVES: 1. An understanding of the Statistical principles, techniques and applications of selected areas of Statistics and computing. 2. The ability to evaluate, select, write and use of computer software packages for Statistical theory, which takes into account the needs of the user and constraints towards computing environment. 3. The ability and confidence to analyze and solve problems both of a routine and of obvious nature towards applications of Statistical theory. 4. To gain deeper understanding, problem solving skills and greater knowledge of selected topics in statistical computation.
M.Sc. Statistics (Uni.Dept) 2010-11 Annexure : 23 C
10S13A Probability Theory Core - 1 Unit –I Functions and Inverse Functions- Random Variables – Limits of Random Variables – Definition of Probability – Simple Properties – Discrete Probability Space – General Probability Space – Induced Probability Space. Unit –II Distribution Function of a Random Variable – Decomposition of Distribution functions – Jordan Decomposition Theorem – Distribution Functions of Vector Random Variables. Expectation – Properties of Expectation – Moments – MGF – Holder’s Inequality – Minkowski Inequality- Basic Inequality-Markov Inequality. Unit –III Convergence of Random Variables : Convergence in Probability, Convergence Almost Surely, Convergence in Distribution, Convergence in rth Mean, Monotone Convergence Theorem - Fubini Theorem (Statement only) Unit –IV Definition and Properties of Characteristic Functions – Inversion Formula – Problems - Kolmogorov 0-1 Law- Borel 0-1 Law- Bochner’s Theorem (Statement only) Unit –V Law of Large Numbers- Weak and Strong Law of Large Numbers – Bernoulli’s Weak Law of Large Numbers- Khintchine’s WLLN – Kolmogorov’s SLLN – Central Limit Theorem – Lindeberg – Levy’s CLT - Liaponov’s form of Central Limit Theorem- Lindberg – Feller Central Limit Theorem (Statement only) Books for Study: 1. Rohatgi V.K. (2002) : Introduction to Mathematical Statistics, Wiley. 2. Bhat, B. R. (2005) : Modern Probability Theory – An Introductory Text Book, Third Edition, New Age International Books for Reference : 1. Feller, W. (1972) : Introduction to Probability Theory and its Applications, Vol. II, Second Edition, Wiley Eastern. 2. Rao, C.R. (1973): Linear Statistical Inference, Second Edition, Wiley Eastern. 3. Johnson and Kotz (1972): Distributions in Statistics, Princeton University Press.

Fee detail:




Address:

Bharathiyar University
Coimbatore, Tamil Nadu ‎

Map:
[MAP]Bharathiyar University
Coimbatore, Tamil Nadu [/MAP]‎
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