B.Tech in IT, AI & Data Science in Mumbai

The ATLAS uGDX B.Tech Experience

The B.Tech programs in ATLAS immerses you in technology from day one - through hands-on coding, real-world projects, and industry-integrated learning that build the skills to innovate and lead in the digital world.

Multidisciplinary
Tech Education
Learn AI/ML alongside electives in design and management, applying your skills through a semester-long internship.
Master classes by industry leaders
Learn directly from global technology experts, CTOs, and industry innovators.
NEP 2020
Integrated
Hundreds of hours of coding practice and training to master writing clean, scalable code.
Experiential &
Hands-on learning
Apply classroom concepts to live projects and real-world problem solving.
Curriculum co-created with industry
Study a curriculum designed with leading CTOs to stay aligned with industry needs.
Entrepreneurship hub
Get mentorship and support from Venture Labs to build and launch your own tech startup.
Urban campus experience
Thrive in a modern, high-tech learning environment with state-of-the-art infrastructure.
Career services
Apply classroom concepts to live projects and real-world problem solving.

Why Choose B.Tech in CS, AI & Data Science at ATLAS uGDX

AI & Machine Learning

A curriculum built around the data lifecycle - from collection and analysis to AI-driven prediction - equipping you to turn information into innovation.

AI & Machine Learning in Practice

Master modern tools and algorithms through hands-on labs and projects that simulate how real industries use data to automate, optimize, and scale.

Designed with
Industry Leaders

Apply design thinking to craft intuitive, user-centered digital products that solve complex problems.

Interdisciplinary Learning through ATLAS Electives

Work on live projects and challenges with leading companies, gaining practical exposure and problem-solving experience.

Global Exposure, Local Edge

Learn in Mumbai’s innovation ecosystem through observerships, global immersion programs, and ATLAS Venture Labs - where ideas become startups.

A Curriculum Designed for the Future

Built on the ‘Goal for Each Term’ (GET) philosophy, our curriculum ensures every semester has a clear, outcome-driven focus; continuously evolving with emerging technology trends and the learning needs of our students.

Semester 1

Foundations of Computing and Intelligent Systems

This semester builds a strong foundation in computing, mathematics, and scientific principles essential for artificial intelligence and machine learning. Students learn to program, analyze data, and understand robotics fundamentals while developing core digital communication.

Introduction to Computer Science & Programming 1

Provides a hands-on introduction to computational thinking and programming fundamentals.

Calculus 1

Introduces foundational mathematical concepts and techniques for modeling and problem-solving in AI and design.

Foundations of Statistics & Probability for AI & ML

Covers statistical reasoning and probabilistic methods essential for machine learning and AI applications.

Databases & SQL

Teaches principles of database design, querying, and management using SQL for data-driven projects.

Chemistry

Explores basic chemical principles and their applications in technology, materials, and interactive systems.

Fundamentals of CT, AI, ML, Robotics, and Data Science

Provides interdisciplinary exposure to computing, robotics, and machine learning frameworks driving intelligent automation.

Communication Skills for Digital World

Builds digital communication, presentation, and collaboration skills for effective engagement in tech-driven environments.

ATLAS Electives

Offers interdisciplinary elective courses that combine technology, design, and creative innovation.

Simulation/Computer Game Design (Pinnacle I)

Develops computational design skills through interactive simulations blending programming, logic, and visual storytelling.

Semester 2

Computational Structures and Applied Data Insights

This semester deepens programming, mathematics, and analytical reasoning for intelligent systems. Students enhance their understanding of algorithms, data modeling, and applied sciences while developing interdisciplinary perspectives that merge computation with human and physical sciences.

Introduction to Computer Science and Programming 2

Builds upon basic programming to develop efficient algorithms and modular code.

Mathematics for Computer Science

Focuses on discrete mathematics, logic, and proofs essential for computer algorithms and computation.

Calculus 2

Extends differential and integral calculus to multivariable systems and complex applications.

Physics

Covers mechanics, electromagnetism, and thermodynamics to strengthen scientific grounding in computational systems.

Statistical Modeling

Teaches how to construct and interpret statistical models to analyze real-world data patterns.

Indian Health Sciences

Examines traditional health knowledge systems and their relation to technology, ethics, and data innovation.

Expository Writing

Develops clarity and precision in technical writing, research presentation, and academic communication.

ATLAS Electives

Offers creative, cross-disciplinary courses blending design, computation, and innovation.

Data Analyst Project (Pinnacle II)

Applies data analytics and visualization skills in a practical, research-based computing project.

Program Outcomes

Engineer End-to-End Data Solutions

Develop scalable data pipelines and integrate AI models into robust software systems that power intelligent products.

Intelligent
Systems Design

Apply AI, machine learning, and deep learning to create adaptive, data-driven solutions.

Apply
Computational Thinking

Use structured problem-solving and algorithmic logic to turn complex data into clear, actionable insights.

Innovate Across Disciplines

Collaborate with designers, managers, and researchers to create technology that’s functional, human-centered, and impactful.

Champion Ethical
AI Practices

Design and deploy AI responsibly ensuring fairness, transparency, and accountability in every data-driven decision.

Research & Entrepreneurship

Translate ideas into prototypes, startups, or applied research that advance technology and serve real societal needs.

Career Pathways

Explore diverse career pathways across AI, data science, and emerging technologies

Data Scientist
Data Analyst
Business Intelligence Developer
Quantitative Analyst
Machine Learning Engineer
Data Research Scientist
Policy Analyst
Supply Chain Analyst
AI/ML FocusedSoftware Developer
Big Data Engineer

Student Voices: Real Voices from the Program

Unlike traditional B.tech programs, uGDX prioritizes hand-on experiences and industry opportunities.
Ayush Gharat
Student, uGDX
At uGDX, I have started viewing the world in a different way.
Leisha Totani
Student, uGDX
Unlike many other B.Tech programs, we have an outcome defined for every semester.
Mohit Bhimrajka
Student, uGDX
Programming will become a second language to you. You'll understand it in a deeper sense.
Adarsh Mukherjee
2nd year student

Eligibility

Indian Boards (ISC / CBSE / State Boards)
Minimum 50% in Class XII
Mathematics and Physics are mandatory

A-Levels (UK)
Minimum grades A/B/C in 2 subjects
Grade B or above in Mathematics.
Mathematics and Physics are mandatory

International Baccalaureate (IB)
Minimum of 24 points in 3 HL & 3 SL subjects
Mathematics and Physics are mandatory

Application Fee: ₹3,500

After selection, the enrolment fee of ₹50,000 to secure your seat is Nonrefundable!

Fee Structure

We believe in clarity. Here’s a simple year-on-year breakdown of our fees!

Fee Structure

Admissions Policy

Loans & Scholarships

That’s right – Funding just got easier! We partner with India’s top banks to support your journey to success. And, our ATLAS Scholarship is there to enable access to world-class education and lifelong growth.

Education Loans

ATLAS Scholarships

Questions? We can read your mind

Yes. AI & Data Science is one of the fastest-growing and in-demand fields in India and globally. Professionals skilled in AI, machine learning and data analytics are highly sought after across IT, fintech, healthcare and research industries.

AI & ML focuses on creating intelligent algorithms and predictive models, while AI & Data Science emphasises collecting, analysing and interpreting large datasets to drive insights and informed decisions. This program blends both applied problem-solving.

Applicants must have completed Class 12 or equivalent qualification with science or technical subjects from a recognised board. Program-specific requirements, such as minimum marks or aptitude assessment, may also apply.

Admission may require an entrance assessment, aptitude test or evaluation as per university guidelines. Candidates should check the official uGDX admissions portal for the latest accepted exams and requirements.

Students can apply online through the Atlas University portal. The process typically involves submitting academic records, completing the application and participating in assessments or interviews if required.

Core subjects include programming, AI and machine learning, data analytics, database management, cloud computing and cybersecurity fundamentals. The program also emphasises hands-on projects and applied learning.

Yes. Atlas University offers merit-based scholarships, need-based support and program-specific awards to eligible students. Details and eligibility criteria are available on the official admissions page.

Graduates can pursue careers as data scientists, AI engineers, machine learning specialists, business analysts or technology consultants across IT, finance, healthcare and research sectors.

Yes. This program provides theoretical knowledge, practical skills and industry exposure required to pursue roles as a Data Scientist or related analytics and AI positions.

Absolutely. Students gain hands-on experience through internships, live industry projects, masterclasses and professional visits, ensuring they graduate with practical skills and career readiness.

B.Tech in CS, AI & Data Science

The ATLAS uGDX B.Tech Experience