M.Sc Applied Statistics, Master of Science in Applied Statistics, Syllabus, Eligibility, Duration, Degree Course

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Master of Science in Applied Statistics

Duration

2 Years

Level

Post Graduation

Type

Degree

Eligibility

Graduation

M.Sc Applied Statistics or Master of Science in Applied Statistics is a two-year postgraduate degree program. The M.Sc in Applied Statistics programme has been designed to meet the needs of working professionals and graduates seeking employment in industries such as software, core and applied industries, medicine and pharmaceutical industries, national laboratories, research and development organizations, and academic institutions.

This Applied Statistics program focuses on courses that have a high potential for using statistical methods in industrial, business, management, medical, and research domains, as well as Data Science and Machine Learning. This curriculum has been designed around precise concepts/skills procedures at the fundamental level to make it simple to comprehend how Statistics may be applied in practice.

The Applied Statistics curriculum is intended to familiarize you with the theory and applications of statistics. This curriculum is especially beneficial for working professionals who want to refresh their statistics expertise. It would also benefit recent graduates who want to further their study and work in the field of Applied Statistics.

M.Sc Applied Statistics Eligibility

The aspiring students must have qualified for their BA / B.Sc degree with Statistics / Mathematics as one of the subjects or any other equivalent qualification from any recognised University.
The candidates should have secured a minimum of 55% aggregate marks in their Bachelor's.

M.Sc Applied Statistics Syllabus

Syllabus of Applied Statistics Course as prescribed by various colleges & universities.

M.Sc Applied Statistics Semester-I
Sr. No.	Subjects to Study
1	Introduction to R Software
2	Probability and Probability Distributions
3	Real Analysis, Calculus and Geometry
4	Statistical Computing using R
5	Survey Sampling and Design of Experiments
6	Statistical Quality Control and Time Series Analysis
M.Sc Applied Statistics Semester-II
1	Applied Regression Analysis
2	Epidemiology and Clinical Trials
3	Multivariate Analysis
4	Statistical Inference
5	Statistical Computing using R
M.Sc Applied Statistics Semester-III
1	Classical and Bayesian Inference
2	Linear Algebra and Multivariate Calculus
3	Research Methodology
4	Statistical Computing using R
5	Survey Sampling and Design of Experiments
M.Sc Applied Statistics Semester-IV
1	Categorical and Survival Analysis
2	Data Analysis with Python
3	Introduction to Machine Learning
4	Operations Research
5	Stochastic Processes
6	Statistical Computing using R
7	Data Analysis with Python Lab
8	Project/Dissertation