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Master’s degree in Statistics is a two year duration course which offers 2 streams, namely M-Stream & S-Stream in which M-Stream is designed for those students who don’t have knowledge in statistics and S-Stream for those who have completed their Bachelor’s in Statistics. The Course offer advanced and application levels of Statistics.


A number of reputed universities and institutes in India are providing various courses in Statistics at Under Graduate, Post Graduate and Post Doctoral levels and they really strive to provide the best of academic resources.

Benefits of Master of Statistics Course

Statistics has now acquired the status of a very important division of Mathematics and is always practiced widely in devising the basic models of Probability in modern age. It has predominant importance in the context of evaluating data with the support of concrete source of information. A student who has completed his/ her Master Degree in Statistics can work in a wide variety of domains i.e. from medical sciences, public health, pharmacy etc. to Natural Sciences and Human Sciences. Linear models, statistical genetics, bioinformatics are some of the other areas of specialisation to which students can look on. Also they have lot of further opportunities both in the job prospects and in the higher study filed.

Eligibility Criteria for Master in Statistics

A prospective candidate for doing his/ her Master’s Degree in Statistics must hold a Graduate Degree, either in Statistics or in Mathematics. Admission to this course is based on merit which will be shortlisted with the help of various entrance tests and also marks secured in graduation exam.

Admission Procedure for Masters Degree in Statistics

Procedure for the admission of this course is based on entrance examination and that is conducted at both national and university level. Some of the educational institutions conduct their own common entrance examinations. Candidates those who get qualified in any of these written examinations will be then short listed for the final interview and those qualified will later undergo counselling process for the purpose of admission.



 
Entrance Exams in India for Master in Statistics

Agra University Entrance Exam
Aligarh Muslim University: Department of Statistics and Operations Research Entrance Exam
Amrita University Entrance Exam
Andhra University Entrance Exam
Annamalai University Entrance Exam
Banaras Hindu University Entrance Exam
Banasthali Vidyapith Entrance Exam
Bangalore University Entrance Exam
Barkatullah University Entrance Exam
Bharathiar University Entrance Exam
Bhartiya Vidyapeeth Entrance Exam
Devi Ahilya Vishwavidyalaya: School of Statistics Entrance Exam
Dr. BR Ambedkar Marathwada University Entrance Exam
Gandhigram Rural Institute University Entrance Exam
Gauhati University Entrance Exam
Himachal Pradesh University Entrance Exam
Indian Institute of Technology – Joint Entrance Exam (IIT EE)
Indian Statistical Institute Entrance Exam
Kalinga Institute of Industrial Technology Entrance Examination (KIITEE)
Karunya University Entrance Exam
Kurukshetra University Entrance Exam
Madurai Kamraj University Entrance Exam
Maharaja Ganga Singh University Entrance Exam
Maharishi Dayanand University Entrance Exam
Mahatma Gandhi University Entrance Exam
Mohanlal Sukhadia University Entrance Exam
Narsee Monjee Institute of Management and Higher Studies (NMIMS) Entrance Exam
North Eastern Hill University (NEHU) Entrance Exam
North Gujarat University Entrance Exam
Osmania University Entrance Exam
Pondicherry University Entrance Exam
Punjab University Entrance Exam
Punjabi University Entrance Exam
Sambalpur University Entrance Exam
Sardar Patel University Entrance Exam
Saurashtra University Entrance Exam
Serampore University Entrance Exam
Shivaji University Entrance Exam
South Gujarat University Entrance Exam
University of Allahabad Entrance Exam
University of Calcutta Entrance Exam
University of Calicut Entrance Exam
University of Delhi Entrance Exam
University of Hyderabad PhD Statistics Entrance Exam
University of Kerala Entrance Exam
University of Madras Entrance Exam
University of Mysore Entrance Exam
University of Pune Entrance Exam
University of Rajasthan Entrance Exam
Vinayaka Missions University Entrance Exam


 
Exam Pattern

Those candidates selected on the basis of the academic records, need to undergo written examination and followed by personal interview. The examination consists of 2 types of Questions:

Objective Type
Descriptive Type
Those candidates who cleared the written exam will be then notified about the interview.

Coaching Centres

TIME
Brilliant Tutorial Pvt. Ltd
Aakash institutes,
Acme Zone
Miglani Tutorials
Edvantage Education Pvt. Ltd
Elite academy
Arya Vidya Mandir College of education
Reference Books for Master in Statistics entrance exams

Ross, Sheldon M. (2003) Introductory Statistics
Hogg, R. V. and Craig, T. T. (1978) Introduction to Mathematical Statistics (Fourth Edition) (Collier-McMillan)
Rohatgi, V. K. (1988) Introduction to Probability Theory and Mathematical Statistics (Wiley Eastern)
C. R. Rao (1995) Linear Statistical Inference and Its Applications (Wiley Eastern) Second Edition
H, Cramer (1946) Mathematical Methods of Statistics,( Princeton).
J. D. Gibbons & S. Chakraborti (1992) Nonparametric statistical Inference (Third Edition) Marcel Dekker, New York
Kale, B.K. (200*) A First Course on Parametric Inference (Narosa)
Casella and Berger
Dudewicz, E. J. and Mishra, S.N. (1988) Modern Mathematical Statistics (John Wiley) Roussas, G. G. (1973) First Course in Mathematical Statistics (Addison Wesley)
Lehmann, E. L. (1986) Testing of Statistical hypothesis (John Wiley)
Lehmann, E. L. (1988) Theory of Point Estimation (John Wiley)
Rohatgi, V. K. Ed Saleh (20**) Introduction to theory of probability and Mathematical
Statistics (John Wiley & Sons)
Colleges in India Providing Masters Degree in Statistics

Cotton College Guwahati University Assam
Dayanand Anglo - Vedic College Chhatrapati Shahu Ji Maharaj University Uttar Pradesh
Farook Arts & Science College Calicut University Kerala
Hans Raj College University of Delhi
Hindu College Acharya Nagarjuna University Andhra Pradesh
Indian Institute Of Technology(IIT) Indian Institute of Technology Kanpur Uttar Pradesh
Loyola College Madras University Tamil Nadu
Maharajas College Mahatma Gandhi University Kerala
Manonmaniam Sundaranar University Manonmaniam Sundaranar University Tamil Nadu
Nehru Arts & Science College Kannur University Kerala
P.G.Radhakrishnan Memorial S.N.College Mahatma Gandhi University Kerala
Pragati Maha Vidyalaya Dr. Babasaheb Ambedkar Technological University Andhra Pradesh
Presidency college (Co-Education) Madras University Tamil Nadu
PSG College of Arts and Science Bharathiar University Tamil Nadu
Ramjas College University of Delhi
St. Thomas College Kerala University Kerala
St. Thomas College Calicut University Kerala
University college Kerala University Kerala
Annamalai University, Chennai
Indian Statistical Institute (ISI), Kolkata
Course Curriculum for Master in Statistics

The curriculum of the Masters program in statistics in the country is mainly divided under two major areas, the core and optional papers. At the beginning of the 3rd semester the candidates can opt their specialization area.

Core papers

Analysis
Control and reliability
Demography
Design of Experiments
Econometrics and Time series Analysis
Generalized Linear models
Linear Algebra
Multivariate analysis
Probability Theory
Statistical Interference
Statistical Methodology
Stochastic Sampling
Practicals on Data Structure and Computing
Optional Papers:

Actuarial Statistics
Advanced Design of Experiments and Sample Theory
Advanced Statistical Computing and Data Mining
Advanced Survey sampling Theory
Advanced Theory of Experimental Designs
Applied Stochastic Processes
Bayesian Inference
Bio- statistics
Computer Programming( Theory)
Distribution Theory
Economics Statistics and Demography
Mathematical Analysis
Multivariate Analysis and Statistical Interference
Non Parametric Interference
Operational Research
Order statistics
Problems and Numericals Using C language
Problems and Numericals Using statistical Software Packages
Probability and Measure Theory
Reliability and Survival Analysis
Sample Survey and Design of Experiment
Statistical Design Theory
Statistical Interference
Stochastic Process and Economics
Specializations for Master in Statistics

Mathematical Statistics
Applied Statistics
Course Evaluation

The candidates undergoing this program are mainly evaluated through the examination, both internal and university level exams. Seminars, Assignments and project papers along with the minimum attendance are the evaluation techniques used for assessment. The core evaluation can be classified as:

40% based on continuous Internal Assessment by Faculties.
60% based on Semester End External Examination.
Text Books for Master in Statistics

Donald D.W.A. (1984). Compound Interest & Annuities Certain. Published for the Institute of Actuaries and the Faculty of Actuaries, London.
Dixit S. P., Modi C.S. and Joshi R.V. (2000). Mathematical Basis of Life
Assurance. Published by Insurance Institute of India, Bombay.
McCutcheen, J.J. and Scott, W.F. (1989). Financial Mathematics. Butterworth-
Heinemann.
Hull, J. C., (2003). Derivatives Options & Futures, Pearson Education.
Ross, Sheldon M. (2003) Introductory Statistics
Hogg, R. V. and Craig, T. T. (1978) Introduction to Mathematical Statistics (Fourth
Edition) (Collier-McMillan)
Rohatgi, V. K. (1988) Introduction to Probability Theory and Mathematical Statistics (Wiley Eastern)
C. R. Rao (1995) Linear Statistical Inference and Its Applications (Wiley Eastern) Second Edition
H, Cramer (1946) Mathematical Methods of Statistics,( Prinecton).
J. D. Gibbons & S. Chakraborti (1992) Nonparametric statistical Inference (Third Edition) Marcel Dekker, New York
Black& Skipper, Life and health insurance
Begg, D., Ficher, S. and Dornbusch,R.(2005). Economics McGraw Hill.
Pyndick &, Rubin (xxx) Micro Economics,
Kahn (xxx) Finical Institutions and Markets
Samuelson & Nordhus (xxx)
Kale, B.K. (200*) A First Course on Parametric Inference (Narosa)
Casella and Berger
Dudewicz, E. J. and Mishra, S.N. (1988) Modern Mathematical Statistics (John Wiley)
Roussas, G. G. (1973) First Course in Mathematical Statistics (Addison Wesley)
Lehmann, E. L. (1986) Testing of Statistical hypothesis (John Wiley)
Lehmann, E. L. (1988) Theory of Point Estimation (John Wiley)
Rohatgi, V. K. Ed Saleh (20**) Introduction to theory of probability and Mathematical
Statistics (John Wiley & Sons)
Gerson, J. Sharori Technical writing, process and product, Pearson Education Reprint 2004
Betty Kirkpatrick: The concise Oxford Thesaurus. OUP, 24th Impression 2003
Draper, N. R. & Smith, H(1998) Applied Regression Analysis, 3rd Ed. (John Wiley).Dobson, A.
McCullagh, P & Nelder, J. A. (1989) Generalized Linear Models (Chapman & Hall)
Ratkowsky, D.A. (1983) Nonlinear Regression Modelling (Marcel Dekker )
Hosmer, D.W. & Lemeshow, S. (1989) Applied Logistic Regression
Deshmukh, S.R. (2009) Actuarial Statistics: An Introduction using R. Universities Press, India
Bowers, JR. N.L., Gerber, H.U., Hickman, J.C., Jones, D.A. and Nesbitt, C.J. (1997)
Actuarial Mathematics, Second Edition, The Society of Actuaries. Sahaumburg, Illinois
Harriett, E.J. and Dani, L.L.(1999).Principles of Insurance: Life, Health, and Annuities, Second Edition, Life Office Management Association, Inc. Atlanta, Georgia
Taylor, H. M. and Karlin, S. (1984) An Introduction to Stochastic Modelling. (Academic Press)
Medhi, J.: Stochastic Processes (Wiley Eastern Ltd.)
Ross, S: Introduction to Probability Models (7th Ed.) Academic Press
Han and Kamber: Data Mining: Concepts and Techniques, Elsevier
Hossack & Pollard Zehnwith, Introductory Statistics with Applications in general
Insurance, Cambridge University press
Mikosch, Thomas: Nonlife Insurance Mathematics An Introduction with
Stochastic Process, Springer
What to do after Master of Statistics Course?

Statisticians are required in Government and Semi Government organizations, Medical Research centres, Actuarial Science field such as Insurance and Banking, Teaching and Research. These students are absorbed in ISO-9001 accredited industries, teaching, Government organizations and research field.

All those looking for higher study option can go for

M.Phil in Statistics
PHD in Statistics
Research in Statistics
Job and Career options for Master of Statistics

Statisticians are in demand in various fields. They help to produce and analyze the data that can affect an entire business or organization. Certain specific jobs available for graduates of a master’s degree program in statistics include:

Actuarial scientist
Bio mathematician
Biostatician
Educational testing statistician
Medical statistician
Bio informational statistician
Foreign Exchange Trader
Lecturer
Public health statistician
Risk analysis statistician
Remuneration after Master of Statistics

Remuneration after the course starts from Rs. 20,000/month. And it varies according to the area in which the person specializes. People with specialization in Actuarial Science may have the pay scale starting from Rs. 30,000/month. If the job is in Government sector the pay scale will be comparatively high.
 
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