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  #1  
3rd June 2015, 04:55 PM
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NMIMS M.Sc

I want to do M.Sc. (Biological Sciences) from Narsee Monjee Institute of Management Studies (NMIMS), Mumbai so can you please tell me the total number of seats in this course? I have to clear any entrance exam for admission in M.Sc. (Biological Sciences) in this Institute?
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  #2  
29th May 2020, 04:08 PM
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Re: NMIMS M.Sc

Can you provide me the details of the M.Sc. – Statistics course offered by the Sunandan Divatia School of Science of SVKM’s Narsee Monjee Institute of Management Studies?
  #3  
29th May 2020, 04:09 PM
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Join Date: Aug 2012
Re: NMIMS M.Sc

The M.Sc. – Statistics course offered by SVKM’s Narsee Monjee Institute of Management Studies under the Sunandan Divatia School of Science lay emphasis on the overall development of computational and analytical skills of a student coupled with an expansion of knowledge base through an interdisciplinary course.

The program is a full time program which is offered from Monday to Saturday. Every student will have to complete a research project, preferably industry oriented.


M.Sc. - Statistics


Duration
The course work is spread over 4 semesters, including an Industry Project.


Intake
A total of 40 seats are available for the M.Sc. program in Statistics.


Eligibility
One must have passed the B.Sc. Examination in Statistics of any recognized University and scored not less than 60% marks.


Admission Criteria Process

One who satisfies the requirements of the two stage selection process will be considered for admission to the integrated courses.

Stage 1 –
All eligible candidates need to appear for a Written Test to be conducted at the NMIMS campus in Mumbai.
The venue will be announced sufficiently in advance of the test date.


Stage 2 –
Based on the performance in the written test, one will be short listed and called for a personal interview at the NMIMS Campus, Mumbai.

Based on the performance in Stages 1 and 2, a composite merit list will be prepared as per criteria laid down by the University.


Curriculum

First Year


Semester – I


Paper I – Real Analysis and Linear Algebra
Paper II –Probability Theory
Paper III –Distribution Theory
Paper IV – Sampling Theory and Applications
Paper V –Estimation Theory
Paper VI – Statistical Computing with Worksheet
Paper VII – Statistical Computing with R


Semester – II

Paper VIII – Linear Models
Paper IX – Testing of Hypothesis
Paper X-Stochastic Processes
Paper XI –Business Statistics and Project Management
Paper XII – Regression Analysis
Paper XIII – Programming Analytics
Paper XIV – Statistical Computing with Python

Second Year


Semester – III


Paper XV– Applied Multivariate Analysis,
Paper XVI – Design and Analysis of Experiments
Paper XVII-Time Series Analysis
Paper XVIII-Elective-I (to be selected from amongst the list given below)
Paper XIX-Elective-II (to be selected from amongst the list given below)
Paper XX – Predictive Modeling
Paper XXI –Statistics with Machine Learning


Semester – IV

Project work carried out in industry as an internship.


Electives:

Stochastic Finance, Survival Analysis, Bayesian Inference, Nonparametric Inference, Statistical Quality Control, Statistical Methods for Reliability.


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