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

How to fill application form for Master in Statistics?

Interested students can apply either through online or offline for entrance examination. It varies depending upon the entrance examination which one applies. While filling the online form or the OMR sheet the students need to be much focused and try not to make errors as it may get rejected. Along with the required documents submit the form to the examination body before the closing date of application.

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.