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Master of Science (M.Sc.) in Statistics
Duration
2 Years
Eligibility Criteria
Bachelor's degree in Statistics/ Mathematics/ Applied Mathematics/ Economics/ Computer Science or a related discipline with a minimum of 55% marks
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This course gives students a deep understanding of statistical theory and its practical applications. Students explore topics such as probability, inferential statistics, regression analysis, experimental design, time series analysis, etc. Students are prepared for careers in finance, healthcare, and other industries relying heavily on data analysis by using statistical software proficiency, ensuring students are well-equipped for success in today’s data-driven economy.
Apply NowCurriculum
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Probability and Random Variables
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Probability Distributions
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Statistical Computing Using C++
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Linear Algebra
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Fundamentals of MS Office
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Intellectual Property Rights (IPR)
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Foundation of Professional Development
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Programming in Statistical Computing
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Fundamentals of MS Office Lab
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Sampling Techniques
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Statistical Inference-I
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Real Analysis
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Operations Research
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Analytical Thinking & Problem Solving Skills
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Statistical Inference-I Lab
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Design of Experiment
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Statistical Inference - II
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Regression Analysis
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Econometrics
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Data Science
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Design of Experiment Lab(Based on Python /SPSS)
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Paper/Book/Chapter/Patent
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Time Series Analysis and Forecasting
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Sample Surveys
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Data Analytics and Visualization
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Research Project
Program Objectives POs
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POs 1
Statistical knowledge: Apply the knowledge of Mathematical Science, Economics fundamentals, and statistics specialization to solve complex statistical and mathematical Problems.
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POs 2
Problem analysis: Identify, formulate and analyze complex statistical problems reaching substantiated conclusions using first principles of mathematics, natural sciences and statistics.
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POs 3
Design/development of solutions: Solve the complex mathematical/statistical problems and design the system components or processes that meet the specified needs with appropriate considerations of public health and safety, cultural, societal, and environmental considerations.
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POs 4
Conduct investigations of complex problems: Use research-based methods including design of experiments, analysis and interpretation of data and synthesis of information leading to logical conclusions.
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POs 5
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern concepts and statistical tools including prediction and modeling complex mathematical activities with an understanding of limitations.
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POs 6
The statistician and society: Apply reasoning within the contextual knowledge to access societal, health, safety, legal, and cultural issues and the con-sequent responsibilities relevant to the professional practice.
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POs 7
Environment and sustainability: Understand the impact of the professional statistical solutions in the societal and environmental contexts, and demonstrate the knowledge of, and the need for sustainable developments
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POs 8
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of mathematical/statistical practice.
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POs 9
Individual and team work: Function effectively as an individual, independently and as a member or leader in diverse teams, and in multidisciplinary settings
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POs 10
Communication: Communicate effectively on complex statistical activities with the science community and with society at large such as to give and receive clear instructions.
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POs 11
Project management and finance: Demonstrate knowledge and understanding of statistics/management principles and apply those to one’s own work as a member and leader of a team to manage projects in multidisciplinary environments.
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POs 12
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Educational Objectives PEOs
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PEOs 1
Advanced Knowledge and Skills: They will possess a deep understanding of statistical theories and methodologies, enabling them to apply advanced statistical techniques to solve complex real-world problems across various fields such as business, healthcare, engineering, and social sciences.
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PEOs 2
Research and Innovation: They will be equipped with the skills necessary to conduct independent research and contribute to the advancement of statistical knowledge. They will be capable of developing innovative solutions and methodologies, contributing to academic, industrial, and governmental research initiatives.
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PEOs 3
Professional and Ethical Leadership: They will demonstrate professional integrity and ethical responsibility in their statistical practice. They will be prepared to take on leadership roles in their professional careers, effectively communicating statistical concepts and results to both technical and non-technical audiences, and contributing to informed decision-making processes in their organizations.