The program builds a deep understanding of statistics, programming, machine learning, big data engineering and artificial intelligence. With a strong emphasis on hands-on learning, students gain practical experience across the full data lifecycle
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The B.Tech in Data Science at Tulas is designed to create future-ready professionals who turn raw data into intelligent decisions.
The program builds a deep understanding of statistics, programming, machine learning, big data engineering and artificial intelligence. With a strong emphasis on hands-on learning, students gain practical experience across the full data lifecycle — collecting, cleaning, modelling, visualizing and deploying — all aligned with current industry trends in analytics and AI.
Learn to question data, build models that matter, and turn information into impact with the B.Tech in Data Science at Tulas.
Supervised, unsupervised and reinforcement learning to build models that predict and classify.
Distributed systems and pipelines to store, process and analyse data at massive scale.
Statistical analysis and dashboards that translate data into business strategy.
Neural networks for image, video and language — the engine behind modern AI.
Turn complex findings into clear, compelling visual stories for any audience.
Mathematics · Statistics · Programming · Databases · Machine Learning · Big Data · Visualization
Python, statistics, mathematics and data structures.
Databases, SQL/NoSQL, big data tools and pipelines.
Machine learning, deep learning, NLP and computer vision.
Generative AI, MLOps, cloud analytics and capstone specialization.
Practice based curriculum designed to fit current data science and AI industry requirements.
Mentoring & content delivery by experienced & qualified faculty members and industry experts through guest lectures and expert talks.
Add-on certification programs, value added courses and short term courses conducted regularly for professional development. (More than 500 certifications).
1000+ alumni working with reputed MNCs and government sectors.
Dedicated Data Science & AI lab with high-performance GPU compute for deep learning workloads.
Strong inclination towards research by faculty members & students. (100+ journal & conference publications).
Focus on industry based learning through regular industry interactions, industrial visits, projects and internships.
Funded research projects from AICTE and Uttarakhand Technical University.
Faculty members indulge in regular upskilling through FDPs, workshops and seminars. (175+ FDPs completed).
Artificial intelligence and machine learning woven across the curriculum to enhance how you learn, create and solve.
Earn industry-recognized certifications through IIT Kanpur E&ICT Academy and global partners including AWS, Microsoft, Google, NVIDIA and Oracle.
A future-focused curriculum continuously updated to match evolving technologies, industry trends and workplace expectations.
Build practical skills through live projects, hackathons, product development and real-world problem solving.
Bridge classroom learning with the real world through projects, industrial visits, expert interactions and corporate collaborations.
Explore Generative AI, Agentic AI, Cloud Computing, Computer Vision, Blockchain, IoT and other future technologies.
Develop corporate-ready skills through aptitude training, interview preparation, soft skills and placement support powered by TCCI.
Learn from experienced faculty and industry experts committed to continuous upskilling, mentorship and practical learning.
Innovate through research publications, funded projects, patents and a culture that encourages discovery and problem-solving.
Join a thriving network of 1000+ alumni working across leading MNCs, startups and government organizations.
Learn in advanced laboratories and technology centres designed for hands-on experimentation, innovation and industry-ready skills.
Grow beyond academics through coding clubs, innovation cells, hackathons, competitions and leadership opportunities.
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