M.Sc.Tech (Statistics and Data Science) Program

Introduction to the Programme:

Data science is one of the fast growing field in industry as well as academia. The M.Sc. (Tech.) in Statistics and Data Science programme aims to produce postgraduates with specialized in data science. The present program will provide opportunity to develop practical skill sets. The student will also develop an in-depth understanding related to core concepts of Statistics, computer science and Data Science with their applications. The programme also emphasis of rigorous statistical theory with wider hands-on practical experience of applying statistical models to data along with  understanding of statistical inferences, time series analysis and their application in data analysis using statistical software R.

                        With increasing understanding the key concepts of machine learning and artificial intelligence and their use in this modern era with application of data science in the field of cyber security and medical science this programme provide a blending learning in interdisciplinary course. The programme also enhance the ability to formulate suitable statistical models for new problems, fit these models to real data and correctly interpret the results.

Programme Educational Objective (PEO):

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):

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):

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 analyze and interpret data.

Programme Eligibility:

Minimum 50% Aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Career Avenues:

  1. It is being a multidisciplinary subject with interdisciplinary applications.
  2. There is scope as Statistician, Data Scientist, Data Analyst, Data Manager, Data Engineer.
  3. Scope in possible domains where students can venture out are in vogue.
  4. Typical employers include different public and private sectors like data management firms.
  5. On completion of the programme, one can opt for becoming an entrepreneur in data science.
  6. After completing this degree, one can also opt for teaching jobs in colleges or universities.
M.Sc.Tech (Statistics and Data Science)

M.Sc.Tech (Statistics and Data Science) Program

Introduction to the Programme:

Data science is one of the fast growing field in industry as well as academia. The M.Sc. (Tech.) in Statistics and Data Science programme aims to produce postgraduates with specialized in data science. The present program will provide opportunity to develop practical skill sets. The student will also develop an in-depth understanding related to core concepts of Statistics, computer science and Data Science with their applications. The programme also emphasis of rigorous statistical theory with wider hands-on practical experience of applying statistical models to data along with  understanding of statistical inferences, time series analysis and their application in data analysis using statistical software R.

                        With increasing understanding the key concepts of machine learning and artificial intelligence and their use in this modern era with application of data science in the field of cyber security and medical science this programme provide a blending learning in interdisciplinary course. The programme also enhance the ability to formulate suitable statistical models for new problems, fit these models to real data and correctly interpret the results.

Programme Educational Objective (PEO):

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):

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):

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 analyze and interpret data.

Programme Eligibility:

Minimum 50% Aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Career Avenues:

  1. It is being a multidisciplinary subject with interdisciplinary applications.
  2. There is scope as Statistician, Data Scientist, Data Analyst, Data Manager, Data Engineer.
  3. Scope in possible domains where students can venture out are in vogue.
  4. Typical employers include different public and private sectors like data management firms.
  5. On completion of the programme, one can opt for becoming an entrepreneur in data science.
  6. After completing this degree, one can also opt for teaching jobs in colleges or universities.
View Course Structure