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M.Tech in Data Science
The Data Science program provides comprehensive training in statistical modeling, machine learning, data visualization, and big data technologies. Students learn to process, analyze, and interpret massive datasets to drive strategic decision-making and build predictive models, preparing them for roles as high-level data scientists and analytics leaders.
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Career path
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Career path
Certifications
Eligibility
Programs
Quick Links
FAQs
Placement Records
Our M.Tech in Data Science is designed for analytical thinkers ready to advance beyond foundations into research-driven data intelligence. The program deepens expertise in statistical modelling, big data engineering, predictive analytics and research collaborations, developing specialists for data-driven decisions
94%
Thesis Completion Rate
91%
Advanced Certification Rate
3x
Research Papers Publication
2x
Industry-Sponsored Projects
The different career paths available for the program
Data Scientist
ML / AI Research Engineer
Business Intelligence Architect
Quantitative Analyst
NLP Engineer
Healthcare Data Analyst
Data Strategy Consultant and many more
Data Scientist
ML / AI Research Engineer
Business Intelligence Architect
Quantitative Analyst
NLP Engineer
Healthcare Data Analyst
Data Strategy Consultant and many more
Google's advanced certification builds expert-level skills in designing and managing scalable data pipelines on Google Cloud, preparing students for senior data engineering and architecture roles.
AWS Data Analytics Specialty validates expert skills in ingesting, transforming and visualising data on cloud infrastructure, bridging postgraduate academics with production-grade analytics engineering.
Azure DP-100 equips students with specialised skills in designing and deploying machine learning solutions on Azure, preparing them for senior data science and AI engineering roles.
Academic Requirement
Candidates must have passed a 4-year Bachelor’s Degree in Engineering/Technology in the relevant branch from a recognized University.
Candidates must have secured a minimum of 50% aggregate marks in the qualifying undergraduate examination.
Entrance Test Requirement
Admission shall be based on merit through:
Graduate Aptitude Test in Engineering (GATE)
TS PGECET
Anurag Common Entrance Test (Anurag CET)
Qualifying Examination on merit
For Foreign / NRI category, admission shall be based on merit in GATE or marks secured in the qualifying examination.
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Beyond classroom learning
Learning that extends beyond lectures and coursework.
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Research Overview
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What does the Data Science program focus on?
It focuses on data analysis, statistical modeling, and machine learning techniques.
Are real datasets used in learning?
Yes, practical learning involves working with real-world datasets.
Is programming required?
Yes, programming is an integral part of data analysis and modeling.
What tools are introduced?
Students work with data analysis tools, programming languages, and frameworks.
How is the curriculum designed?
It blends theory with hands-on projects and analytical applications.
