Overview

The program will build the foundation in mathematics and Statistics so that participants will be able to learn and apply the fundamental Mathematical techniques used for analytics and machine learning; and learn and appreciate the Staistical concepts that form the foundation of data science.The demand for the BSc Statistics is growing rapidly and various national and international firms like Banks, Finance institutions, R&D firms, etc look for the qualified graduates in this particular field.This sector is expected to create more than 20 Lakh jobs in the coming 5 years. So B.Sc. Statistics have emerged as one of the popular choices for those students planning to have a career in the Finance industry. However, apart from making a career in any of the above fields, one can also opt for higher studies. Pursuing a Master’s in Statistics and to take up Actuarial Science as a specialization by studying M.Sc Actuarial Science. Studying further in the same domain will increase the possibilities of an individual to earn well and get ample opportunities.

Programme Education Objective

To equip students with problem-solving skills and mathematical comprehension essential for tackling diverse statistical applications With a bachelor’s degree in Statistics, one can become a business analyst, research officer, data analyst or even an investigator. The students will get relevant skills like data analysis, observation of patterns, deduction of conclusions, etc Students can explore various job roles in the industries like Banks, Finance institutions, R&D firms, etc

Programme Structure

Core Curriculum

Descriptive Statistics and Probability

Descriptive Statistics

Basic concepts, formulas & Applications in Statistics

Descriptive Statistics Lab

Basic enumerations using Statistical softwares and excel

Probability theory and distribution 1

Concepts of Probability theory and distribution

Probability theory and distribution 1 Lab

Modelling of distributions using Statistical softwares and excel

Mathematical Statistics & Probability distribution 2

Mathematical techniques & Advanced probability distributions

Mathematics & Computing

Algebra

Students will learn Algebra to improve their mathematical approaching

Mathematical Analysis and Calculus

Learn concepts in Mathematical Analysis & Calculus necessary for Statisticalcomputations

Numerical Analysis

Learn concepts in Mathematical Analysis & Numerical Analysis for Statisticalcomputations

Introduction to R

Will give an introductory idea about statistical computing using R

Advanced R

Will give advanced learning related to statistical computing using R

Statistical computing C programming

Basic idea of C programming and its uses in statistics

Inferential Statistics, Sampling & Data Modelling

Sampling Distribution

Learn the system vulerabilities, and tools and techniques for ethical hacking

Statistical Inference 1

Understand the need for vulnerability assessment and learn the tools and techniques for vulnerability testing.

Statistical Inference 2

Understand and apply cryptographic concepts for data encryption and protection.

Linear Models

Idea of Modelling techniques

Multivariate Analysis and Nonparametric methods

Modelling using multiple variables and non parametric approaches

Operation Research

Optimization techniques related to statistical problems

Applied Statistics

Time-series

Basic concepts of time series analysis and modelling

Stochastic Processes and Queuing Theory

Idea of Stocastic processes and techniques of Queuing Theory

Survival analysis & Bio-Statistics

Statistical Techniques related to Bio-Science & Survival Analysis

Introduction to Data Science & Analytics

Application of Statistical techniques in data science related to Classifications

Design Of Experiment

Types of Design, Balanced Design structuring

Financial Statistics

Idea of Statistical techniques used in Finance

Economical Statistics

Survey Sampling and Indian Official Statistics

Sampling & uses in Indian Official Statistics

Micro Economics

Behavior of individuals and firms in making statistical decisions

Macro Economics

The structure, performance, behavior, and decision-making of the whole, or aggregate, economy using statistical techniques

Econometrics

Statistical methods using quantitative data to develop theories or test existing hypotheses in economics or finance

Programme Type - UG

Duration - 3 years

Fee Details

  • Kolkata
  • Durgapur

Kolkata Admission Fee of Rs. 45000/- and Alumni Fee of Rs 5000/- to be paid during Admission

Payment Date

One Time Payment Yearly Payment Payment Deadline Half-Yearly Payment
Within 15 days of Admission INR 1,15,000 INR 62,500 INR 33,500
By 30th Nov, 2022 INR 33,500
By 31st May, 2023 INR 37,500 INR 20,500
By 30th Nov, 2023 INR 20,500
By 31st May, 2024 INR 25,000 INR 13,500
By 30th Nov, 2024 INR 13,500
Tuition Fee Total INR 1,15,000 INR 1,25,000 INR 1,35,000
Total Fees: INR 1,65,000 INR 1,75,000 INR 1,85,000

Durgapur Admission Fee of Rs. 45000/- and Alumni Fee of Rs 5000/- to be paid during Admission

Payment Date

One Time Payment Yearly Payment Payment Deadline Half-Yearly Payment
Within 15 days of Admission INR 92,500 INR 50,000 INR 27,500
By 30th Nov, 2022 INR 27,500
By 31st May, 2023 INR 30,000 INR 16,500
By 30th Nov, 2023 INR 16,500
By 31st May, 2024 INR 20,000 INR 11,000
By 30th Nov, 2024 INR 11,000
Tuition Fee Total INR 92,500 INR 1,00,000 INR 1,10,000
Total Fees: INR 1,42,500 INR 1,50,000 INR 1,60,000

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