Without taking a professional break, prepare for a career in Data Science with India's most comprehensive and world-class M.Tech. Data Science programme. This specially curated curriculum is designed to help you develop a distinct career in analytical and leadership roles in a variety of industries. With a great blend of machine learning, big data analytics and statistics, the programme lets you gain experience in addressing problems with real-world data.

This programme is designed to provide opportunity to working professionals looking for research and gain a Master’s Degree for future academic and career pursuit. Additionally, since this M.Tech. is mainly research based, the course work is supportive to the proposed research work. This course allows the candidate to explore opportunities in both Government as well as private sectors.

The four-semester programme helps software and IT professionals gain the skillset required to enhance their careers as a Data Analyst, Data Engineer, Data Architect, and Data Scientist, amongst others.

Programme Outcomes

The programme is specifically designed to

• Use your knowledge of big data analytics, mathematics, and artificial intelligence to solve business problems while adhering to the basics of computational intelligence.
• Develop prediction models and instil the concepts of data analysis and data visualisation to increase business value.
• Bring out a definite contribution to the advancement of knowledge in the candidate’s chosen field of study.
• Strengthen students to work in a team and develop effective communication, critical thinking and technical skills.
• Help students develop a professional approach that prepares them for immediate employment and for life-long learning in advanced areas of Data Science and related fields.
• Support students seeking a career in higher education, research and academics.
• Increase student success & placements in industries.
• Facilitate growth in a nurturing environment and promoting intellectual stimulation.
• Increase academic standards and rigor.
• Achieve academic excellence and uniqueness through high quality research publications.
• Continue your education and work as a data scientist or analyst.

Specific Domain Related Outcomes Include:

• Ability to analyse data difficulties in the domains of Computer Science, Computational Mathematics, Statistics, and Management
• Contribute to transdisciplinary research and development by employing innovative and creative ways.
• Independently conduct research/investigation and development activities to tackle practical challenges
• Create and present a big technical report/document.

Salient Features

Dissertation:

Dissertation / thesis of six months is incorporated in the course curriculum to provide hands on training and research experience to students. It will improve problem solving abilities, spatial data analysis and field experiments.

Professional Enhancement:

In addition to core courses, subjects like proficiency in co-curriculum activities, employability skills, seminars, industrial mentor and training, internships, and field visits etc.

Innovative Pedagogy:

Innovative pedagogical methods including demo kits in addition to animations, video lectures, presentations to communicate effective teaching and learning process, development plan for online learning materials.