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Department
Centre for Multidisciplinary Studies
Campus
Guwahati Campus
Semester
01 Year (02 Semesters)
Degree
M.Sc.

Aim: The programme aims to produce learners who can meet the increasing demand for data science and data analytics professionals who are capable of analysing data and dissemination of lifelong understanding to solve real-world problems scientifically.

The objectives of this Programme:

· Apply quantitative techniques to the real-world socio-economic and business problems

· Analyse the data to recommend findings to be presented in a scientific way

· Employ cutting edge machine learning tools to use big data

· Use data mining software and algorithms to build machine intelligence

· Demonstrate knowledge of statistics, mathematics and econometrics concepts for further applicability in lifelong learning.

Eligibility

  • 4-year Undergraduate (NEP) /Master Degree in any discipline with Mathematics/Statistics/Quantitative Techniques as a course in either HS or Undergraduate level with basic computing skills.
  • 4-year Undergraduate (NEP) /Master Degree in any discipline (in this case the student has to undergo a non-credit bridge course on mathematics and statistics simultaneously with first semester).

Course Structure & Syllabus

Future Career Prospects

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • AI/ML Researcher

Aim:

The programme aims to produce learners who can meet the increasing demand for data science and data analytics professionals who are capable of analysing data and dissemination of lifelong understanding to solve real-world problems scientifically.

The objectives of this Programme:

· Apply quantitative techniques to the real-world socio-economic and business problems

· Analyse the data to recommend findings to be presented in a scientific way

· Employ cutting edge machine learning tools to use big data

· Use data mining software and algorithms to build machine intelligence

· Demonstrate knowledge of statistics, mathematics and econometrics concepts for further applicability in lifelong learning.

Eligibility

  • 4-year Undergraduate (NEP) /Master Degree in any discipline with Mathematics/Statistics/Quantitative Techniques as a course in either HS or Undergraduate level with basic computing skills.
  • 4-year Undergraduate (NEP) /Master Degree in any discipline (in this case the student has to undergo a non-credit bridge course on mathematics and statistics simultaneously with first semester).

Course structure & Syllabus

Future Career Prospects

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • AI/ML Researcher
Department
Centre for Multidisciplinary Studies
Campus
Guwahati Campus
Semester
01 Year (02 Semesters)
Degree
M.Sc.

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