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NSHM KNOWLEDGE CAMPUS
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 | Lump Sum Payment | Yearly Payment Payment Deadline | Half-Yearly Payment |
| Within 15 days of Admission | INR 1,09,000 | INR 59,300 | INR 32,000 |
| By 30th Nov, 2021 | INR 32,000 | ||
| By 31st May, 2022 | INR 35,500 | INR 19,200 | |
| By 30th Nov, 2022 | INR 19,200 | ||
| By 31st May, 2023 | INR 23,700 | INR 12,800 | |
| By 30th Nov, 2023 | INR 12,800 | ||
| Total Fees: | INR 1,09,000 | INR 1,18,500 | INR 1,28,000 |
Durgapur Admission Fee of Rs. 45000/- and Alumni Fee of Rs 5000/- to be paid during Admission
Payment Date | Lump Sum Payment | Yearly Payment Payment Deadline | Half-Yearly Payment |
| Within 15 days of Admission | INR 81,400 | INR 44,300 | INR 23,900 |
| By 30th Nov, 2021 | INR 23,900 | ||
| By 31st May, 2022 | INR 26,500 | INR 14,400 | |
| By 30th Nov, 2022 | INR 14,400 | ||
| By 31st May, 2023 | INR 17,700 | INR 9,500 | |
| By 30th Nov, 2023 | INR 9,500 | ||
| Total Fees: | INR 81,400 | INR 88,500 | INR 95,600 |
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