Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Statistics is a highly interdisciplinary field, statistics is used in almost all sciences. Any experiment, survey or research are made with specific objective, for every objective hypothesis are made and to justify, corresponding to every hypothesis a variable is determined on which data are collected and by applying appropriate statistical test conclusion is drawn about the hypothesis and hence justify the research.
Statistics, as both Art and Science, plays a very pivotal role in shaping our understanding of the world. Our B.Sc. (Hons.) in Statistics is designed to equip students with the theoretical foundations, practical skills, and critical thinking abilities necessary to navigate the everexpanding landscape of data-driven inquiry.
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Program Code
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Name of the Program Outcome
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Program Outcomes
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|---|---|---|
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PO1
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STATISTICAL KNOWLEDGE
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Demonstrate a comprehensive understanding of foundational statistical concepts, theories, and methods, including Probability Theory, Statistical Inference, Regression Analysis, Statistical Quality Control, Sampling Techniques, Experimental Design, and Operations Research.
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PO2
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DATA ANALYSIS SKILLS
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Skilled in using statistical software and methods to solve real-world problems across various disciplines.
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PO3
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MATHEMATICAL PROFICIENCY
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Possess strong mathematical skills, including calculus, linear algebra, and discrete mathematics, which are fundamental to statistical theory and methodology.
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PO4
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CRITICAL THINKING AND PROBLEM SOLVING
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Critically evaluate data, assumptions, and results, and apply statistical reasoning to solve complex problems in diverse contexts.
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PO5
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COMMUNICATION SKILLS
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Effectively communicate statistical concepts to both technical and non-technical audiences and be proficient in using statistical software to create graphical representations of data.
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Year
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Semester
|
Course Type (Credits)
|
||||||
|---|---|---|---|---|---|---|---|---|
|
1st Year
|
Sem-I
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Major-1
(4)
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Major-2
(4)
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Minor-1
(4)
|
MDC-1
(4)
|
AEC-1
(2)
|
SEC-1
(2)
|
IKS-1
(2)
|
|
Sem-II
|
Major-3
(4)
|
Major-4
(4)
|
Minor-2
(4)
|
MDC-2
(4)
|
AEC-2
(2)
|
SEC-2
(2)
|
VAC-
1
(2)
|
|
|
2 nd Year
|
Sem-III
|
Major-5
(4)
|
Major-6
(4)
|
Major-7
(4)
|
MDC-3
(4)
|
AEC-3
(2)
|
SEC-3
(2)
|
IKS-2
(2)
|
|
Sem-IV
|
Major-8
(4)
|
Major-9
(4)
|
Major-10
(4)
|
Minor-3
(4)
|
AEC-4
(2)
|
SEC-4
(2)
|
VAC-
2
(2)
|
|
|
3rd Year
|
Sem-V
|
Major-11
(4)
|
Major-12
(4)
|
Major-13
(4)
|
Minor-4
(4)
|
Minor-5
(4)
|
SEC-5
(2)
|
-
|
|
Sem-VI
|
Major-14
(4)
|
Major-15
(4)
|
Major-16
(4)
|
Minor-6
(4)
|
AEC-5
(2)
|
Internship
(4)
|
-
|
|
|
4th Year
|
Sem-VII
|
Major-17
(4)
|
Major-18
(4)
|
Major-19
(4)
|
Minor-7
(4)
|
-
|
OJT/RP-1
(6)
|
-
|
|
Sem-VIII
|
Major-20
(4)
|
Major-21
(4)
|
Major-22
(4)
|
Minor-8
(4)
|
-
|
OJT/RP-2
(6)
|
-
|
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR COURSE (Credits - 4)
|
STM111
|
Descriptive Statistics
|
|
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MAJOR COURSE (Credits - 4)
|
STM112
|
Statistics Practical
|
|
|
MINOR COURSE (Credits – 4)
|
STE113
|
Basics of Data Science-I
|
|
|
MULTIDISCIPLINARY COURSE (Credits – 4)
|
STMDC114
|
Statistics for Physics-I
|
|
|
Ability Enhancement Course (Credits – 2)
|
AEC115
|
|
|
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Skill Enhancement Course (Credits – 2)
|
STSEC116
|
Essential Excel Skills for Data Science
|
|
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Indian Knowledge System (Credits – 2)
|
IKS117
|
|
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR COURSE (Credits - 4)
|
STM121
|
Probability Theory & Random Variable
|
|
|
MAJOR COURSE (Credits - 4)
|
STM122
|
Statistics Practical-II
|
|
|
MINOR COURSE (Credits – 4)
|
STE123
|
Basics of Data Science-II
|
|
|
MULTIDISCIPLINARY COURSE (Credits – 4)
|
STMDC124
|
Statistics for Physics-II
|
|
|
Ability Enhancement Course (Credits – 2)
|
AEC115
|
|
|
|
Skill Enhancement Course (Credits – 2)
|
STSEC126
|
Advanced Excel Skills for Data Science
|
|
|
Value Aided Course (Credits – 2)
|
VAC127
|
|
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR COURSE (Credits - 4)
|
STM231
|
Probability Distribution-I
|
|
|
MAJOR COURSE (Credits - 4)
|
STM232
|
Economic Statistics
|
|
|
MAJOR COURSE (Credits – 4)
|
STM233
|
Statistics Practical (Based on STM231 and STM232
|
|
|
MULTIDISCIPLINARY COURSE (Credits – 4)
|
STMDC234
|
Statistics for Physics-III
|
|
|
Ability Enhancement Course (Credits – 2)
|
AEC235
|
|
|
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Skill Enhancement Course (Credits – 2)
|
STSEC236
|
Basics of Jamovi
|
|
|
Indian Knowledge System (Credits – 2)
|
IKS237
|
|
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR COURSE (Credits - 4)
|
STM241
|
Probability Distribution-II
|
|
|
MAJOR COURSE (Credits - 4)
|
STM242
|
Correlation and Regression
|
|
|
MAJOR COURSE (Credits – 4)
|
STM243
|
Statistics Practical (Based on STM241 and STM242
|
|
|
MINOR COURSE (Credits – 4)
|
STE244
|
Statistics for Mathematics
|
|
|
Ability Enhancement Course (Credits – 2)
|
AEC245
|
|
|
|
Skill Enhancement Course (Credits – 2)
|
STSEC246
|
Basic Statistical Analysis Using Jamovi
|
|
|
Indian Knowledge System (Credits – 2)
|
IKS247
|
|
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Course Name
|
Fees in Rs. (per Semester)
|
Total Seats
|
|---|---|---|
|
B.Sc. in Statistics
|
Boys: 3100/-
Girls: 2500/- |
30
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