Bachelor of Statistics

Graduate Programmes

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Program Code 11791

Course Overview

  • Campus
  • Lucknow
  • Institute
  • Amity School of Applied Sciences, Lucknow
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 11791
  • Eligibility
  • 10+2 min 55% with min 55 %in Maths/Statistics

  • Duration
  • 3 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.50
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.50
  • Students shall be able to acquire a combination of theoretical, conceptual, analytical, computational, and experimental knowledge and skills in the field of statistical sciences aligned with industry 4.0.
  • Students shall be able to demonstrate the scientific concepts and knowledge to the development of new and innovative techniques in statistical sciences.
  • Students shall be able to use appropriate information and digital literacy to demonstrate the understanding of scientific principles.
  • Students shall be able to develop and apply understanding to analyze and formulate scientific approach for solving the real life problems and contribute to the society.
  • Students shall be able to demonstrate professional attitudes, effective communication and behavioral skills and demonstrate professional ethics and academic integrity as an individual/team member/leader in diverse teams.
  • Students shall be able to develop and demonstrate the understanding of statistical sciences 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 value the importance of life-long learning as demonstrated by pursuing higher studies, multidisciplinary approach and scientific advancement to get success and employability.
  • Students shall be able to acquire a combination of theoretical, conceptual, analytical, computational, and experimental knowledge and skills in the field of statistical sciences aligned with industry 4.0.
  • Students shall be able to demonstrate the scientific concepts and knowledge to the development of new and innovative techniques in statistical sciences.
  • Students shall be able to use appropriate information and digital literacy to demonstrate the understanding of scientific principles.
  • Students shall be able to develop and apply understanding to analyze and formulate scientific approach for solving the real life problems and contribute to the society.
  • Students shall be able to demonstrate professional attitudes, effective communication and behavioral skills and demonstrate professional ethics and academic integrity as an individual/team member/leader in diverse teams.
  • Students shall be able to develop and demonstrate the understanding of statistical sciences 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 value the importance of life-long learning as demonstrated by pursuing higher studies, multidisciplinary approach and scientific advancement to get success and employability.
  • The student will have the ability to apply the basic and fundamental knowledge and related skill-set
  • The student will have the ability to identify, define and analyze scientific problems and identify or create processes to solve them Competently use appropriate field and laboratory 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, descriptive statistics, summary statistics etc. within a scientific environment. Ability to use and apply professional software for scientific data analysis.
  • The student will have the ability of Problem Solving in Statistics and related Science
  • The student will have the ability to communicate statistical concept, principles and related procedure in an effective manner consistently with the end users and act as an interface between the service provider and end users.
  • 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 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 problem solving and technical collaboration.
  • The student will have the ability to apply ethical principles and demonstrate to professional ethics and responsibilities and norms of the Science & Technology practice
  • 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 basic knowledge of the discipline to own start- ups 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 develop a lifelong thirst for knowledge and learning and encourage a pioneering, innovative and independent attitude.
  • The student will have the ability to demonstrate knowledge and understanding of the statistical principles, methods and procedure 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 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 shall be able to demonstrate comprehensive knowledge and skills of both theoretical and experimental concepts of Statistical and Computational Sciences to achieve academic excellence.
  • The student shall be able to choose self–directed and active learning through strong intellectual engagement in independent work relevant to Statistical Science.
  • The student shall demonstrate scientific enquiry and research aptitude through conduct of innovative research in thrust areas of Statistical Science which will benefit the society and enhance the intellectual capital of Statistics.
  • The student shall be able to efficiently use and apply information and communication technologies and participate in collaborative networks for developing requisite skills of Industry 4.0
  • The student shall formulate critical thinking, interpret and comprehend research-based knowledge to design and synthesize solutions to scientific problems in Statistical Science and allied areas.
  • The student shall be able to employ effective listening and communication skills to enhance interpersonal relationship.
  • The student shall be able to combine scientific creativity and reflective thinking to develop innovative ideas in Statistical and Computational Sciences for developing processes relevant to societal educational needs.
  • The student shall be able to compare, contrast and analyze data in order to take appropriate and effective decisions.
  • The student shall be able to attain leadership skills and perform responsibly as an individual as well as in a team while being accountable and result oriented.
  • The student shall demonstrate competence in a cross-cultural environment and evolve as a responsible global citizen.
  • The students shall practice ethical behavior and demonstrate professional integrity in their conduct.
  • The students shall be able to acquire social and emotional skills to work effectively with diverse and inclusive group of people in multi-cultural environment and situations.
  • The students shall be able to define their career aspirations and work towards achieving the same by engaging in developing appropriate skills and competencies in their chosen profession (corporate career, student start-up, family business, higher education etc.).
  • The student shall be able to gain knowledge and learn skills throughout life focusing on self-directed learning using a range of sources and tools available.
  • The students shall be able to analyze and implement the initiative to conserve natural resources and use sustainable technologies by using knowledge and experience of their discipline.

Course Structure

  • 1st Year
  • 2nd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Food, Nutrition and Hygiene (UG) Minor III - Co-curricular Courses 2 0 0 0 2.00 View
Descriptive Statistics (Univariate) and Theory of Probability (UG) Discipline I (Major I) 3 0 4 0 6.00 View
Mathematical Physics and Newtonian Mechanics (UG) Discipline II (Major II) 4 0 4 0 6.00 View
Fundamentals of Chemistry and Quantitative Analysis (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Differential Calculus and Integral calculus (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Problem Solving using Computers & Python Programming (UG) Discipline III (Major III) 3 0 4 0 6.00 View
Get Connecting (UG) Minor II - Vocational Courses /SKE courses/Industry Specific Courses 0 0 0 0 3.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Descriptive Statistics (Bivariate) and Probability Distributions (UG) Discipline I (Major I) 3 0 4 0 6.00 View
Thermal Physics and Semiconductor Devices (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Bioorganic and Medicinal Chemistry (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Matrices and Differential Equations & Geometry (UG) Discipline II (Major II) 5 0 0 0 6.00 View
Principles of Operating Systems (UG) Discipline III (Major III) 3 0 4 0 6.00 View
Environmental Studies (UG) Minor I - Minor Elective Courses 4 0 0 0 4.00 View
Environmental Health Science and Safety (UG) Minor II - Vocational Courses /SKE courses/Industry Specific Courses 2 0 0 0 3.00 View
Analytical ability and digital Awareness (UG) Minor III - Co-curricular Courses 0 0 0 0 0.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Term Paper (UG) Mandatory (NTCC) 0 0 0 0 1.00 View
Theory of Estimation and Sampling Survey (UG) Discipline I (Major I) 3 0 4 0 6.00 View
Statistical Modeling and Applications (UG) Discipline I (Major I) 3 0 4 0 6.00 View
Electromagnetic Theory and Modern Optics (UG) Discipline II (Major II) 4 0 4 0 6.00 View
Physics of Vibrations and Waves (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Chemical Dynamics and Coordination Chemistry (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Principles of Analytical Chemistry (UG) Discipline II (Major II) 4 0 2 0 6.00 View
Management of Inventory System (UG) Discipline II (Major II) 3 0 4 0 6.00 View
Algebra and Mathematical Methods (UG) Discipline II (Major II) 5 0 0 0 6.00 View
Fundamentals Database Management Systems (UG) Discipline III (Major III) 3 0 4 0 6.00 View
Graph Theory and Applications (UG) Minor II - Vocational Courses /SKE courses/Industry Specific Courses 3 0 0 0 3.00 View
Energy, Ecology and Environment (UG) Minor III - Co-curricular Courses 2 0 0 0 2.00 View