M.Sc (Statistics)

This is a four semester master level programme with an intake of 20 students. Apart from teaching the core Statistics subjects, the students are also trained to handle real life problems through the practical classes. As a part of the course they are taught some programming languages and also exposed to various Statistical softwares such as SPSS, Mathlab and SAS.

 

Eligibility: B.Sc. degree in Mathematics or Statistics main with at least 55% marks for optional subjects taken together.

 

Course Structure - M.Sc Statistics
M.Sc Syllabus(with effect from 2015 admission onwards)

 

M.Tech (Engineering Statistics)

The objective of this programme is to teach statistical methods to engineers so as to equip them to apply the recent statistical tools in the industrial sector. There is wide scope for this course as students are trained in statistical methods like reliability engineering, experimental design, statistical process control and ISO 9000, operation research, forecasting, software quality and reliability, six sigma tools and SAS programming, which are essential to assess and improve the quality and productivity in industrial sector. This course is aimed at bridging the gap between theoretically trained statisticians and the professional engineers. The first two semesters are devoted to classroom teaching and laboratory experiments. In the third and fourth semesters, the candidates will be sent to undertake a project work in industries of their choice. Graduates of this course are well placed in industries, software/BPO companies and academic/research organizations.

 

Eligibility: B.Tech or equivalent degree or AMIE in any discipline with a first class (60%) from any recognised university or institution with valid GATE score.


Course Structure - M.Tech Engineering Statistics
M-Tech syllabus(with effect from 2013 admission onwards)



Ph.D (Statistics)

The Department offers supervision for research degrees of Ph.D in several branches of statistics. The thrust areas include both theoretical and applied. The research scholars get financial support from the funding agencies such as University Grants Commission (UGC), Council of Scientific and Industrial Research (CSIR) and National Board for Higher Mathematics (NBHM). The University also offers a limited number of Scholarships for eligible candidates.


Thrust Areas of Research

Distribution Theory

Statistical Inference

Information Theory

Time Series Analysis

Stochastic Processes

Modeling of Stochastic Volatility

Reliability Theory
Survival Analysis

Population Studies

Chaos and Non-linear time series

Applications of Repairable systems

Queuing Theory

TQM & ISO 9000

Multivariate Analysis

Discrete Event Simulation Modelling

 

 

 

 

 

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Phone: 91-484- 2575893 (Office), Fax: +91-484-2577595, Email:statistics@cusat.ac.in,