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Duration 3 Years |
Level Graduation |
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Type Degree |
Eligibility 10+2 |
B.Sc Applied Statistics and Analytics or Bachelor of Science in Applied Statistics and Analytics is a three-year undergraduate degree program. This Applied Statistics and Analytics course is meant to provide students with an understanding of the applications of statistics to diverse areas beginning at the undergraduate level.
The Applied Statistics and Analytics course emphasizes the general growth of a student's computational and analytical skills, as well as the expansion of his/her knowledge base through an interdisciplinary course. In the first year, the course consists of lectures and practicals on the fundamental principles of Statistics, Mathematics, Economics, and Computer Programming. Moving on to the second year, students are introduced to the fundamental disciplines of Statistics as well as selected papers from Economics and Mathematics.
Beginning in the third semester, students must complete a project in any of the basic statistical subjects taught that semester. Students in the fifth year will be exposed to essential papers in marketing analytics and financial risk analytics, as well as key statistical courses. The project must be completed in one of the basic statistics papers. The subject of Data Science is presented in the last semester through statistical modeling papers from Marketing Analytics and Risk Analytics. Students are expected to complete a Data Science project.
B.Sc Applied Statistics and Analytics Eligibility
B.Sc Applied Statistics and Analytics Syllabus
Syllabus of Applied Statistics and Analytics Course as prescribed by various colleges & universities.
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B.Sc Applied Statistics and Analytics Semester-I |
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Sr. No. |
Subjects to Study |
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1 |
Calculus and Differential Equations |
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2 |
Descriptive Statistics |
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3 |
Discrete Mathematics |
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4 |
Effective Communication |
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5 |
Functional Programming |
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6 |
Introduction to Probability Theory |
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7 |
Micro Economics |
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B.Sc Applied Statistics and Analytics Semester-II |
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1 |
Continuous Probability Distributions |
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2 |
Descriptive Statistics |
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3 |
Discrete Probability Distributions |
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4 |
Environmental Studies |
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5 |
Linear Algebra |
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6 |
Macro Economics |
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7 |
Numerical Methods |
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8 |
Python Programming |
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B.Sc Applied Statistics and Analytics Semester-III |
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1 |
Estimation Theory |
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2 |
Financial Economics |
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3 |
Introduction to R |
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4 |
Multivariate Calculus |
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5 |
Operations Research |
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6 |
Research Methods |
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7 |
Sampling Theory |
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8 |
Sampling Distributions & Applications |
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9 |
Projects |
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B.Sc Applied Statistics and Analytics Semester-IV |
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1 |
Actuarial Science |
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2 |
Applied Economics |
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3 |
Data Management |
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4 |
Design of Experiments |
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5 |
Hypothesis Testing |
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6 |
Research Writing |
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7 |
Stochastic Processes |
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8 |
Projects |
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B.Sc Applied Statistics and Analytics Semester-V |
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1 |
Employability Skills |
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2 |
Fundamentals of Financial Risk |
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3 |
Operations Research |
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4 |
Principles of Marketing |
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5 |
Statistics in Life Science |
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6 |
Time Series & Forecasting |
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7 |
Visual Analytics |
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8 |
Projects |
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B.Sc Applied Statistics and Analytics Semester-VI |
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1 |
Business Ethics |
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2 |
Data Science using R |
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3 |
Introduction to Data Science |
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4 |
Quality Management |
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5 |
Statistical Modelling in Financial Risk |
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6 |
Statistical Modelling in Marketing Analytics |
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7 |
Projects |
B.Sc Applied Statistics and Analytics College
