M.Sc. Tech (Statistics and Data Science)

Introduction to the Programme:

This unique and innovative M.Sc. (Tech.) in Statistics and Data Science programme offers the opportunity to develop data science skills from a wide range of disciplines. Our goal is to provide you with the skill base to become a responsive scientist, who can work in a variety of settings and meet the challenges and reap the benefits of interdisciplinary team working. There is an acute shortage of skilled workers across the globe and this qualification will provide a strong boost to your employability profile.

This course will give student a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. Student will develop knowledge of the fundamental principles and technologies that support the disciplines of statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.

Programme Educational Objective:

PEO 01: Graduates will equip with knowledge and understanding of statistical theory and its applications within data science

PEO 02: Graduate will equip with the ability to implication of application in the statistical and data science field.

PEO 03: Graduates of this programme will establish as effective professionals by learning technical skills in Data Science field.

PEO 04: Students will gain proficiency in using statistical software R for data science.

Programme Outcome:

PO 01:  Academic Excellence: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science

PO 02: Contextualized Understanding: Ability to absorb and understand the abstract concepts that lead to various advanced theories in mathematics and Statistics

PO 03: Research and Analysis:  Students will be acquainted with various research opportunities in the area of Statistics and Data Science both at home and abroad

PO 04: Problem Solving Skills: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods

PO 05: Modernization and Tools Usage: Acquire the skills in handling statistical tools and programming towards problem solving and solution analysis in Data Science, AI machine and enveloping applications for real world problems

PO 06: Societal Implication: Understand the role of statistics in the society and apply the same to solve the real-life problems for societal and environmental concerns

PO 07: Environment and Sustainability: Understand the significance of preserving the environment towards sustainable development

PO 08: Ethics: Continue to enhance the knowledge and skills in applied statistics and data analytics for constructive activities and demonstrate highest standards of professional ethics

PO 09: Individual and Team Work: Use the research-based knowledge, and machine learning techniques to analyse and solve advanced problems in data sciences through individual and group projects related to the field of Statistics and data science

PO 10: Communication: Develop various communication skills such as reading, listening, and speaking which will help in expressing ideas and views clearly and effectively

PO 11: Leadership Skills: Understand the scientific and management principles and apply these to one’s own work, as a member/ leader in a team to manage projects and multidisciplinary research environments

PO12: Life Long Learning:  Students will be proficient in statistical analysis of data, building and assessment of different statistical models, handle statistical programming software, data management and using the concepts of statistics in real life context

Programme Specific Outcome:

PSO 01: Equip graduates with analytics and problem solving techniques.

PSO 02: Graduates will get sustainable development by using mathematical and Statistical tools.

PSO 03: Focus on statistical and data science and its applications.

PSO 04: Graduate will Capable to design and conduct experiments, as well as analyse and interpret data.

Programme Eligibility:

Graduation in Science (such as BSc in Mathematics/ Statistics/Physics/Economics/Computer Science) or Bachelor of Computer Application (BCA) or B.Tech in CSE/ECE/IT

Course Structure for the Program M.Sc. Tech (Statistics and Data Science)

M.Sc. Tech (Statistics and Data Science)

M.Sc. Tech (Statistics and Data Science)

Introduction to the Programme:

This unique and innovative M.Sc. (Tech.) in Statistics and Data Science programme offers the opportunity to develop data science skills from a wide range of disciplines. Our goal is to provide you with the skill base to become a responsive scientist, who can work in a variety of settings and meet the challenges and reap the benefits of interdisciplinary team working. There is an acute shortage of skilled workers across the globe and this qualification will provide a strong boost to your employability profile.

This course will give student a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. Student will develop knowledge of the fundamental principles and technologies that support the disciplines of statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.

Programme Educational Objective:

PEO 01: Graduates will equip with knowledge and understanding of statistical theory and its applications within data science

PEO 02: Graduate will equip with the ability to implication of application in the statistical and data science field.

PEO 03: Graduates of this programme will establish as effective professionals by learning technical skills in Data Science field.

PEO 04: Students will gain proficiency in using statistical software R for data science.

Programme Outcome:

PO 01:  Academic Excellence: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science

PO 02: Contextualized Understanding: Ability to absorb and understand the abstract concepts that lead to various advanced theories in mathematics and Statistics

PO 03: Research and Analysis:  Students will be acquainted with various research opportunities in the area of Statistics and Data Science both at home and abroad

PO 04: Problem Solving Skills: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods

PO 05: Modernization and Tools Usage: Acquire the skills in handling statistical tools and programming towards problem solving and solution analysis in Data Science, AI machine and enveloping applications for real world problems

PO 06: Societal Implication: Understand the role of statistics in the society and apply the same to solve the real-life problems for societal and environmental concerns

PO 07: Environment and Sustainability: Understand the significance of preserving the environment towards sustainable development

PO 08: Ethics: Continue to enhance the knowledge and skills in applied statistics and data analytics for constructive activities and demonstrate highest standards of professional ethics

PO 09: Individual and Team Work: Use the research-based knowledge, and machine learning techniques to analyse and solve advanced problems in data sciences through individual and group projects related to the field of Statistics and data science

PO 10: Communication: Develop various communication skills such as reading, listening, and speaking which will help in expressing ideas and views clearly and effectively

PO 11: Leadership Skills: Understand the scientific and management principles and apply these to one’s own work, as a member/ leader in a team to manage projects and multidisciplinary research environments

PO12: Life Long Learning:  Students will be proficient in statistical analysis of data, building and assessment of different statistical models, handle statistical programming software, data management and using the concepts of statistics in real life context

Programme Specific Outcome:

PSO 01: Equip graduates with analytics and problem solving techniques.

PSO 02: Graduates will get sustainable development by using mathematical and Statistical tools.

PSO 03: Focus on statistical and data science and its applications.

PSO 04: Graduate will Capable to design and conduct experiments, as well as analyse and interpret data.

Programme Eligibility:

Graduation in Science (such as BSc in Mathematics/ Statistics/Physics/Economics/Computer Science) or Bachelor of Computer Application (BCA) or B.Tech in CSE/ECE/IT

Course Structure for the Program M.Sc. Tech (Statistics and Data Science)