
Shape Tomorrow With
Data Science
Study Data Science at Tulas and gain expertise in machine learning, big data analytics, statistical modelling, artificial intelligence and data engineering — through an AI-integrated, industry-aligned curriculum.

Program
Where Data Meets
Decisions
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."
Five Pillars, One Strong
Data Foundation
Every focus area is built on a strong foundation of mathematics, statistics and programming, enhanced through AI-integrated learning.
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.
Data Science
Mathematics · Statistics · Programming · Databases · Machine Learning · Big Data · Visualization
Core Learning Areas

An AI-Integrated
Curriculum
At Tulas, AI isn't a single elective — it's woven through the entire Data Science journey. Students move from strong statistical and programming fundamentals to the most in-demand frontier technologies, graduating fluent in the tools shaping the future of analytics and intelligence.
Foundations
Python, statistics, mathematics and data structures.
Data Engineering
Databases, SQL/NoSQL, big data tools and pipelines.
Intelligence
Machine learning, deep learning, NLP and computer vision.
Frontier
Generative AI, MLOps, cloud analytics and capstone specialization.
Certifications & Projects
Beyond the degree — globally recognized certifications, real projects, and continuous industry exposure that make graduates job-ready.
Program Details
USPs
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).
Where A CSE Degree
Can Take You
From software engineering to AI research, our graduates build careers at the cutting edge of technology.
The Leading Recruiters
Trusted by leading organizations across technology, consulting, manufacturing and emerging tech.





































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Why Study CSE
At Tulas
A program engineered for the AI era — combining strong fundamentals, industry alignment, and a culture of innovation.
AI-Integrated Learning
Artificial intelligence and machine learning woven across the curriculum to enhance how you learn, create and solve.
IIT Kanpur E&ICT Academy & Industry Certifications
Earn industry-recognized certifications through IIT Kanpur E&ICT Academy and global partners including AWS, Microsoft, Google, NVIDIA and Oracle.
Industry-Aligned Curriculum
A future-focused curriculum continuously updated to match evolving technologies, industry trends and workplace expectations.
Project-Based Learning
Build practical skills through live projects, hackathons, product development and real-world problem solving.
Industry Connect & Projects
Bridge classroom learning with the real world through projects, industrial visits, expert interactions and corporate collaborations.
Emerging Technology Exposure
Explore Generative AI, Agentic AI, Cloud Computing, Computer Vision, Blockchain, IoT and other future technologies.
Career & Placement Readiness
Develop corporate-ready skills through aptitude training, interview preparation, soft skills and placement support powered by TCCI.
Expert Faculty & Mentorship
Learn from experienced faculty and industry experts committed to continuous upskilling, mentorship and practical learning.
Research, Innovation & Patents
Innovate through research publications, funded projects, patents and a culture that encourages discovery and problem-solving.
Global Alumni Network
Join a thriving network of 1000+ alumni working across leading MNCs, startups and government organizations.
Modern Labs & Centres of Excellence
Learn in advanced laboratories and technology centres designed for hands-on experimentation, innovation and industry-ready skills.
Student Clubs & Technical Communities
Grow beyond academics through coding clubs, innovation cells, hackathons, competitions and leadership opportunities.














