Master of Statistics

Post Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 10792

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Applied Sciences
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10792
  • Eligibility
  • Non Sponsored Category - Graduation in Maths / Stats (min 50%) Or Graduation (min 50%) with min 60% in Maths / Stats & 10+2 (min 60%) with Maths. 

    Sponsored Category - Graduation in Maths / Stats (min 50%) Or Graduation (min 50%) with min 55% in Maths / Stats & 10+2 (min 55%) with Maths. 

  • Duration
  • 2 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.40
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 0.60
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.40
1st Year Sponsored Semester Fee (Rs. in Lacs) : 0.60
  • Students shall be able to acquire a combination of theoretical, conceptual, analytical, computational, and experimental knowledge and skills in the field of Statistics and related interdisciplinary sciences
  • Students shall be able to develop and demonstrate the understanding of statistics in context of global environment and will be able to relate scientific issues to the broader social, economic, legal, cultural and environmental aspects.
  • Students shall be able to develop and apply understanding of statistics to analyse and formulate scientific approach for solving the real life problems
  • Students shall be able to analyse the scientific information and infer the results for successful and productive careers or further higher/advance studies/research in the field of statistics and related science and technology
  • Students shall be able to compile the skill set to design and develop statistical models and related scientific products.
  • Students shall be able to assess and compare the statistical and scientific information’s, to enable them to effectively participate and contribute to the society.
  • Students shall be able to demonstrate professional attitudes, effective communication and behavioral skills that support individual performance in the field of statistics in particular and in social, economics, business and scientific development in general.
  • Students shall be able to develop professional ethics and academic integrity and demonstrate these as an individual/ team member/ leader in diverse and multifaceted environments.
  • Students shall be able to critically evaluate and reflect learning and development throughout their career in the field of Statistics and related interdisciplinary sciences and technology.
  • The student will have the ability to use one’s potential by utilizing academic excellence and justifiable confidence, underpinned by honest self-awareness and grasp opportunities for self-development
  • The student will have the ability to identify, define and analyze scientific problems and identify or create principles, methods, tools and processes to solve them. Competently use appropriate field (sampling survey), and experimental and observation based methods and techniques for the study of advance scientific problems/challenges.
  • The student will have the ability to use appropriate information technology skills in order to communicate effectively using graphical techniques, charts, summary statistics, reports and presentations within a scientific environment. Ablity to use and apply professional softwares like SAS, SaTscan, STATA, Minitab, MS EXCEL, SPSS, R-GUI, MS SOLVER etc. for scientific data analysis
  • The student will have the ability to apply core scientific principles and techniques to facilitate problem solving in almost every field of great human importance and development. Ability to respond effectively to unfamiliar problems in scientific contexts.
  • The student will have the ability to communicate effectively on complex activities with the Scientific community and with society at large, such as, being able to comprehend and write effective reports ,research papers and design documentation, correct interpretation and decision making, projection and forecasting, model building, make effective presentations, and give and receive clear instructions
  • The student will have the ability to recognize the impact of knowledge and understanding of the scientific principles on the responsibilities relevant to the professional scientific practices and apply the fundamental and specialized knowledge of the discipline to own startups or professional practice. Ability to make decisions on the basis of rigorous and independent thought, taking into account ethical and professional issues.
  • The student will have the ability to identify the impact of scientific knowledge and solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • The student will have the ability to analyze, apply, reproduce and innovate the knowledge of Statistics (pure, basic and applied), computational and stochastic (probability) sciences, their fundamentals and specialization to the solution of complex real life and virtual statistical problems.
  • The student will have the ability to function effectively as an individual, and as a member or leader in diverse teams in multidisciplinary settings.
  • The student will have the ability to develop a lifelong thirst for knowledge and learning and encourage a pioneering, innovative and independent attitude.
  • The student will have the ability to use knowledge and understanding of the Statistical and Scientific principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  • The student will have the ability to appraise global perspectives, developed through topics or even modules, that relate to particular international issues or contexts. Interact effectively within a global team / learning / professional group, recognize, support or be proactive in research and technical collaboration

Course Structure

  • 1st Year
  • 2nd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Statistical Lab- I (PG) Core Courses 0 0 4 0 2.00 View
Advance Real Analysis (PG) Core Courses 3 1 0 0 4.00 View
Statistical Methods (PG) Core Courses 3 1 0 0 4.00 View
Statistical Inference- I (UG) Core Courses 3 1 0 0 4.00 View
Linear Algebra and Applications (PG) Core Courses 3 1 0 0 4.00 View
Probability Theory (PG) Core Courses 3 1 0 0 4.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Statistical Lab- II (PG) Core Courses 0 0 4 0 2.00 View
Advance Sampling Theory (PG) Core Courses 3 1 0 0 4.00 View
Linear Model and Regression Analysis (PG) Core Courses 3 1 0 0 4.00 View
Advance Statistical Inference- II (PG) Core Courses 3 1 0 0 4.00 View
Stochastic Processes and Applications (PG) Core Courses 2 1 0 0 3.00 View
Mathematical Demography (PG) Specialisation Elective Courses 2 1 0 0 3.00 View
Advance Biostatistics (PG) Specialisation Elective Courses 2 1 0 0 3.00 View
Statistical Quality Control (PG) Specialisation Elective Courses 2 1 0 0 3.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Statistical Lab- III (PG) Core Courses 0 0 6 0 3.00 View
Multivariate Analysis (PG) Core Courses 3 1 0 0 4.00 View
Summer Internship (PG) Non Teaching Credit Courses 0 0 0 0 3.00 View