Data Science Amrita University

Overview

Amrita University, renowned for its academic excellence, stands out as a premier institution for pursuing an M.Tech in Data Science. The university is recognised for its multi-disciplinary approach and is accredited with an 'A++' grade by NAAC. It has also earned a place among the top universities globally, being ranked within the top 100 in the Times Higher Education Impact Rankings. The M.Tech in Data Science programme is structured to equip students with essential skills in computational sciences, focusing on data-driven modelling and scientific computation.

Amrita University is distinguished by its robust academic framework and state-of-the-art facilities. The institution fosters partnerships with various national and international research institutes, enhancing the educational experience through collaborative projects. Students have access to cutting-edge technology, including advanced computing hardware and software platforms, which are integral to the curriculum.

Currently, specific tuition fee details for the M.Tech in Data Science programme are not available. For more information regarding fees and funding options, please visit the Fees and Funding section for a breakdown in your local currency.

The M.Tech in Data Science programme comprises a well-rounded syllabus that includes core and elective subjects. The curriculum is designed to cover various critical areas:

• Computational Mathematics for Data Science
• Machine Learning
• Foundation of Data Management
• Deep Learning
• Research Methodology
• Dissertation
• Electives such as AI Applications for Power Systems and Social Media Analytics

The demand for data science professionals continues to surge across multiple sectors, including finance, healthcare, and technology. As businesses increasingly rely on data-driven insights, the need for skilled data scientists who can navigate complex datasets and derive actionable conclusions is paramount.

Graduates of the M.Tech in Data Science programme from Amrita University can expect diverse career opportunities. Alumni have successfully secured positions in leading companies and sectors, including technology, marketing, and finance. Job roles vary from data analysts and machine learning engineers to data scientists, reflecting the versatility and relevance of the skills acquired during the programme.