M.Sc. Statistics (5 years Integrated Programme)

M.Sc. Statistics program is offered by the Department of Statistics which was established in the year 2006. The M.Sc. Statistics course curriculum includes a blend of theoretical and applied papers. The recent syllabus for M.Sc. course provides broad choice of opportunities for students to select the elective subject according to their preferences. Since the updated syllabus includes UGC-CSIR NET examination syllabus contents, students will be benefitted in taking such and other competitive examinations for All India services. The current M.Sc. course curriculum will nurture the students with blend of theoretical and practical skills. It also provides training in handling modern statistical softwares’ in the analysis of data arising from various disciplines. In the present scenario, it is rather impossible, even to think of any field which does not employ modern statistical tools to arrive at rational conclusions from research studies and a statistician is always an indispensable part of any research team carrying out research investigation. The M.Sc. programme also includes statistical softwares’ like IBM SPSS 19.0, R and Python which will enable students to get placement in data analytics companies. Semester wise Academic planning, Special invited lecture series by eminent academicians and scientists from national and international institutions, Campus recruitment, Student coordinating activities for overall development, Choice based credit system, Freedom to select and pursue internal or external soft core courses as per the flexibility of students need are some notable highlights of the program. The department also offers M.Sc. Five year integrated program in Statistics.

Focus Areas

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of the program

Theoretical Statistics

Linear Algebra and Matrix Theory, Probability Theory, Distribution Theory, Sampling Theory, Estimation Theory, Testing of Statistical Hypotheses, Stochastic Processes

Applied Statistics

Regression Analysis, Multivariate Statistical Analysis, Design and Analysis of Experiments

Statistical Software

IBM SPSS 19.0, R , Python

Specialization Courses

Reliability Theory, Survival Analysis, Operations Research, Biostatistics, Data Mining, Econometrics, Statistical Quality Control

Who can prefer this Course

Eligibility

Pass in +2 with a minimum of 50% of marks with Mathematics, Physics and Chemistry as subjects of study (Candidates with other branches in +2 are not eligible for this programme)
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Program Structure

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Current Curriculum

  • Course Content
  • Reference Book
  • Valuation Pattern

Previous Curriculum

  • Course Content
  • Reference Book
  • Valuation Pattern

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