M.Sc. (Hons) Statistics

ADMISSIONS PROCESS

“The highest education is that which does not merely give us information, but makes our life in harmony with all existence” - Faculty / Quote by educationist

CURRICULUM

M.Sc. (Hons) Statistics

Facts are stubborn, but statistics are more pliable

SEM-I

Course CodeCourse TypeCourse NameCredit ValueMarks
101 FOUC Written Analysis and Communication    
102 FOUC Budgeting    
103 GC Statistical Computing -I    
104 GC Design of Experiments    
105 GC Regression Analysis    
106 GC Statistical Estimation    
107 GC Testing Statistical Hypotheses    
108 GE Generic Elective - I    
109 GE Generic Elective - II    
110 AUDC Visual Reasoning    
111 AUDC Office Management Tools    

SEM-II

Course CodeCourse TypeCourse NameCredit ValueMarks
201 FOUC Public Speaking Skills    
202 FOUC 7QC    
203 GC Statistical Computing II    
204 GC Linear Algebra and Statistical Model    
205 GC Time Series Analysis    
206 GC Non - parametric Data Analysis    
207 GC Multivariate Statistical Analysis    
208 GE Generic Elective - III    
209 GE Generic Elective - IV    
210 AUDC Verbal Reasoning    
211 AUDC Web Business Tools    

SEM-III

Course CodeCourse TypeCourse NameCredit ValueMarks
301 FOUC Book Review    
302 FOUC Six Sigma    
303 GC Reliability Engineering    
304 GC Project - I    
305 SC Subject Core -I    
306 SC Subject Core -II    
307 SC Subject Core -III    
308 SE Subject Elective - I    
309 SE Subject Elective - II    
310 AUDC Logical Reasoning    
311 AUDC Website Design and Development    

SEM-IV

Course CodeCourse TypeCourse NameCredit ValueMarks
401 FOUC Assertiveness Training    
402 FOUC Balanced Scorecard    
403 GC Bayesian Statistics    
404 GC Project - II    
405 SC Subject Core -IV    
406 SC Subject Core -V    
407 SC Subject Core -VI    
408 SE Subject Elective - III    
409 SE Subject Elective - IV    
410 AUDC Critical Reasoning    
411 AUDC Business Analytics    

Generic Electives

Generic Electives Track IGeneric Electives Track II
Probability Theory I Probability Theory II
Data Mining Advanced Design of Experiments
Sampling Theory Portfolio Management
Dissertation - I Dissertation - II

Subject Core

Course CodeSubject CoreCourse NameCredit ValueMarks
305 Subject Core-I Computational Statistics    
306 Subject Core-II R Programming for Statistical Applications    
307 Subject Core-III Stochastic Processes I    
405 Subject Core-IV Actuarial Statistics    
406 Subject Core-V Statistical Process Control    
407 Subject Core-VI Stochastic Processes II    

Subject Elective

SEM III Electives BasketSEM IV Electives Basket
SPSS for Statistical Applications SAS for Statistical Applications
Biostatistics MATLAB for Statistical Applications
C++ for Statistical Applications Mini Tab for Statistical Applications
Fuzzy Theory and Applications Statistical Methods in Manufacturing Design

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