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B.Tech in CS, AI & Data Science

Build intelligent systems and shape the future of technology.
Next Cohort
July 2026
Format
4 Years, Full time

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.
01

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.
02

Designed with
Industry Leaders

Apply design thinking to craft intuitive, user-centered digital products that solve complex problems.
03

Interdisciplinary Learning through ATLAS Electives

Work on live projects and challenges with leading companies, gaining practical exposure and problem-solving experience.
04

Global Exposure, Local Edge

Learn in Mumbai’s innovation ecosystem through observerships, global immersion programs, and ATLAS Venture Labs - where ideas become startups.
05

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.

Semester 3

Foundations of Machine Learning and Computational Intelligence
Semester 3 focuses on developing strong analytical and computational foundations through machine learning, data science, and algorithmic thinking. Students explore structured and unstructured data systems while applying mathematical models to real-world problem-solving, shaping their ability to design intelligent, data-driven solutions.
Machine Learning Foundations
Provides the mathematical foundation for AI, computer graphics, and machine learning algorithms.
Computer Organization and Architecture
Explores processor design, memory hierarchy, and instruction execution essential for computational efficiency.
Linear Algebra
Provides the mathematical foundation for AI, computer graphics, and machine learning algorithms.
Data Structures and Algorithms
Develops problem-solving efficiency through algorithmic design and data optimization techniques.
Fundamentals of Data Science and Analytics
Explains data cleaning, visualization, and analysis methods to derive actionable insights.
Model Thinking
Applies mathematical and conceptual models to understand patterns in data and complex systems.
Foundational Literature of Indian Civilization
Examines Indian philosophical and scientific thought, connecting heritage with modern innovation.
ATLAS Electives
Offers creative, cross-disciplinary courses blending design, computation, and innovation.
Machine Learning: Astrophysics, Particles, Drug Design (Pinnacle III)
Applies machine learning to advanced scientific domains through real-world research projects.

Semester 4

Applied Intelligence and System Integration
Semester 4 integrates advanced machine learning with core concepts of software engineering, databases, and IoT to create scalable AI systems. Students gain hands-on experience in data mining, system design, and enterprise-grade applications, bridging technical development with practical business innovation.
Big Data Analyst
Explores deep neural networks, reinforcement learning, and optimization techniques for complex AI systems.
Database Design and Management
Covers relational models, normalization, and data integrity for efficient and secure information storage.
Operating Systems and Networks
Focuses on process management, memory systems, and network protocols essential for system-level computing.
Data Mining & Warehousing
Introduces data extraction, transformation, and analytics for large-scale decision-making frameworks.
Software Engineering Principles
Covers design methodologies, version control, and testing for robust, maintainable software systems.
Embedded System and IoT
Examines microcontrollers, sensors, and connectivity protocols for real-time intelligent devices.
Business Plan Writing
Develops entrepreneurial thinking through strategic, financial, and innovation-driven project planning.
ATLAS Electives
Encourages interdisciplinary engagement with human-centered, creative, or ethical perspectives in AI.
An Enterprise Grade AI Application: Recommendation Engines for OTT Platforms (Pinnacle IV)
Applies machine learning to personalize user experiences and enhance data-driven media recommendations.

Semester 5

Intelligent Systems and Innovation
This semester advances skills in AI-driven automation through reinforcement learning, computer vision, and NLP. Students apply cloud and data analytics to real-world systems while fostering entrepreneurial thinking and developing innovative projects such as self-driving technologies.
Reinforcement Learning and NLP
Master the art of making big-picture decisions. Learn how to evaluate competition, allocate resources, and plan for long-term business success in volatile environments.
Computer Vision and Deep Learning
Focuses on enabling machines to interpret and process visual information from the world.
Image Processing
Covers enhancement, transformation, and segmentation of digital images for computational applications.
Data Analytics and Visualization
Teaches methods to interpret, visualize, and communicate complex datasets through modern analytical tools.
Cloud Application Development
Explores cloud infrastructure, APIs, and deployment pipelines for scalable AI-based applications.
Entrepreneurship Development
Encourages innovation through idea validation, resource planning, and tech-based business creation.
Cultural and Intellectual Heritage of English
Introduces global communication, critical thinking, and cultural perspectives in academic and professional contexts.
Enterprise Grade Connected Device Application: Self-Driving Cars (Pinnacle V)
Applies AI, sensor fusion, and machine learning to develop autonomous and intelligent mobility systems.

Semester 6

Advanced Data Intelligence and Systems Security
This semester focuses on integrating large-scale data analysis with secure AI systems and predictive modeling. Students explore multi-modal learning and advanced forecasting while applying cross-disciplinary insights through internships and foundational studies in science and computation.
Big Data Analytics
Covers distributed computing frameworks, large-scale data handling, and predictive insight generation.
Secure Coding
Teaches best practices to write robust, vulnerability-free software applications.
Data Science for Generic AI
Focuses on building adaptable AI models through data-driven reasoning, generalization, and automation.
Time Series and Forecasting
Explores trend analysis and temporal data prediction using statistical and machine learning models.
Multi-Modal Learning (Text + Vision + Speech) Analysis
Integrates diverse sensory data types to train AI systems for richer contextual understanding.
Language of Science and Technology (English)
Strengthens scientific writing, communication, and presentation within technological and research contexts.
Introduction to Indian Mathematics & Astronomy
Examines classical mathematical logic and astronomical innovation from an Indian scientific heritage perspective.
Summer Internship
Provides practical exposure to AI development, data research, or tech innovation in professional settings.

Semester 7

Research and Ethical Innovation in AI
This semester deepens analytical and computational rigor through Bayesian inference, quantum computing, and advanced electives. Students refine their research skills while engaging with ethical and governance frameworks to ensure fairness and responsibility in AI-driven systems.
Advanced Statistical Inference & Bayesian Analysis
Focuses on probabilistic reasoning, Bayesian modeling, and uncertainty quantification for predictive AI systems.
Quantum Computing & Algorithms
Introduces quantum logic, superposition, and algorithmic frameworks for high-performance computational problem solving.
Core Elective 1
Allows focused study in a chosen AI or computer science specialization area.
Core Elective 2
Expands interdisciplinary expertise through advanced application-based or theoretical exploration.
Core Elective 3
Encourages independent inquiry into emerging fields or niche AI technologies.
Data Ethics, Fairness, and Governance in AI Systems
Examines AI accountability, bias mitigation, and regulatory frameworks for equitable digital systems.
Research Methodology
Develops systematic research design, data collection, and analytical skills for academic or industrial innovation.

Semester 8

Applied AI Innovation and Human-Centric Research
The final semester brings together computing, design, and innovation through an internship and capstone project, allowing students to apply theory, gain practical experience, and prepare for careers, research, or entrepreneurship.
Internship and Project and Dissertation (Product Based)
Applies AI and data science principles to develop, test, and deploy real-world product solutions.
Federated Learning and Distributed AI (MOOC)
Explores decentralized machine learning frameworks enabling collaborative intelligence while preserving data privacy.
Cognitive Systems and Human-AI Interaction (MOOC)
Studies intelligent systems that interpret, adapt, and respond to human behavior for seamless AI collaboration.

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.

Ready to Build What’s Next?Let’s Get Started.

Get a glimpse - where future engineers and innovators areshaped through technology, industry, and inspiration.

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

Your guide to joining B.Tech in CS, AI & Data Science

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
More questions?
Let our AI Assistant answer your queries

Questions? We can read your mind

ISDI provides B. Des to its students in various subjects. The undergraduate B. Des programme is a four-year course that enables students to enhance their focus on strategic thinking, design, and innovation. 

The undergraduate B. Des program offers 7 programs in various design subjects, such as:

  • Communication Design

  • Fashion Design

  • Fashion Communication & Styling

  • Interior Design

  • Product Design

  • Strategic Design Management

  • Animation & VFX

The postgraduate programme focuses on entrepreneurial and design thinking skills.

ISDI is a well-known institution for many reasons. Its exclusive collaboration with Parsons School of Design stems from its position as a renowned institution. The key factors setting ISDI apart are:

  • Location: It is in the heart of Mumbai and surrounded by the best design organisations.

  • Industry-focused approach: With industry stalwarts and meteors guiding students, individuals not only learn from practical knowledge but also learn from experience.

  • Networking: Students can work and interact with professionals in other fields, strengthening their networking skills. 

  • Global curriculum: The curriculum has been meticulously designed to prepare students for national and international work opportunities.

Experiential learning: ISDI believes in going beyond traditional learning, and utilises advanced technology to nurture creativity among students.

Yes, ISDI offers guest lectures and masterclasses as a part of the curriculum. International voices and mentors lead classes with its exclusive partnership with Parsons School of Design (Parsons faculty often visits ISDI and students learn from them here in India). Integrating a masterclass allows students to expand their cultural understanding, too. We introduce students to a variety of workshops and masterclasses that help expand their interests and solidify their vision.

ISDI hosted  Parsons Week 2025, in partnership with ISDI,  from March 23-28, 2025, featuring a week of design-focused events and sessions led by faculty from the renowned Parsons School of Design. During their visit to ISDI, they offered masterclasses and portfolio review sessions as well.

Yes. ISDI offers global opportunities, too. Students get opportunity to study overseas, during immersive excursion one such example is Paris where students visited colleges such as

  • Students can study in Paris and participate in industry visits and workshops. 

  • Partnership with Parsons School of Design ensures that thinking strategies, global tools, and methodologies are a part of the curriculum.

ISDI stands out from other design schools through its partnership with Parsons School of Design. Its urban-rich culture setting ensures students learn thoroughly. ISDI stands out from other design schools due to its unique features:

  • A rich curriculum benefits from its collaboration with Parsons School of Design.

  • Real-world internships and masterclasses

  • Diverse networking

  • Strategic thinking nurtured by industry experts

Yes, the curriculum is developed in collaboration with Parsons School of Design. The B Des curriculum is meticulously designed to allow students to benefit from it. The global curriculum expands their horizon of understanding and ensures they are able to face challenges and secure lucrative opportunities.

The ISDI - School of Design & Innovation has received curriculum development support from Parsons School of Design since its establishment in 2013.

This unique partnership for curricular excellence ensures ISDI students have access to a global contemporaneity curriculum and proven teaching and learning methods enabling our students to be the design leaders of the future.

ISDI has designed its curriculum in collaboration with Parsons School of Design. The curriculum ensures academic excellence and alignment with industry by:

  • Design professionals design curriculum.

  • Professionals hold masterclasses for students to learn from experience.

  • Students are encouraged to take up projects which challenge them to face real-life design challenges.

  • Working on projects with industry-leading companies

  • Regular workshops held by industry professionals

ISDI integrates industry into its curriculum in several ways. We aim to blend classroom learning with real-world experience. The industry learnings are integrated through:

  • Masterclasses with experts

  • Industry-led collaborations and projects

  • Hackathon for understanding real-life disciplines

  • Visits to different design studios for better learning

Yes, ATLAS ISDI organises live projects with brands as part of its curriculum. The thoughtfully curated curriculum is in collaboration with Parsons School of Design. The curriculum includes internships with top brands. This internship nurtures

  • Applying theoretical knowledge to real-life problems

  • Strengthen problem-solving skills

  • Build a strong portfolio

  • Learn from the experience of senior citizens.

  • Guided by industry experts

ISDI has always aimed to create a safe and immersive campus as well as a learning experience for its students. With a thoughtful curriculum in collaboration with the renowned Parsons School of Design, every design module for specialisation is distinct and focuses on strengthening the design principles. The student experience at ATLAS ISDI includes:

  • Students get to participate in various competitions, which channel their design creativity.

  • Students are made to participate in various workshops.

  • Students have to work on several projects and increase their networking and communication skills.

  • Students participate in various college festivals and experience personal growth through faculty-led discussions and talks

ISDI has an exclusive campus. Renowned for its infrastructure and thoroughly curated curriculum, the institution allows students to widen their area of learning. With our recent NAAC A Grade certification, our campus provides its students with:

  • The campus features large laboratories, designer studios, fashion technology zones, and various other spaces where students can explore and showcase their creativity.

  • Immersive workshops for strengthening design principles, along with frequent visits to design studios, inspire the students.

  • Students can learn from experts through frequent immersive workshops held in design studios.

  • Design Studios

  • Fashion Lab

  • Product Lab (Workshop)

  • Fashion Studio

  • Digital + UX Labs

  • Maker Spaces

ISDI offers its students a variety of events for them to participate in and cherish their campus life. From flagship events to cultural events, ATLAS ISDI is always thriving throughout the year. Extracurricular activities offered by ATLAS ISDI are:

  • Design Events

  • Startup-Streets

  • Industry Masterclasses, Workshops, RTCs

  • Master’s Admissions Events

  • Placement & Career Events

  • Fests & Cultural Showcase

  • Hackathons & Challenges

  • Podcasts & Fireside Chats etc.

These interactions boost engagement by allowing students to display projects, share ideas, and connect with visitors.

Yes, ISDI requires an entrance exam for design programmes. The admission process has been designed to gauge the design skills and communication skills of the students. The ISDI admission entrance exam consists of:

  • Portfolio upload or design project holding a 40% weightage

  • The online aptitude test holds a substantial weightage of 40%.

  • Along with tests, there is a round of private interviews as well, which test the students' reasoning and analytical skills.

The process to apply for ISDI’s B.Des program is extremely simple. ISDI focuses on inclusivity, and our admissions process has been designed for individuals to seek their desired design specialisation. The admission process follows these steps:

  • Submitting the portfolio

  • Those students who do not have a portfolio can also complete a design project listed by ATLAS ISDI.

  • Along with submitting a portfolio and/or design project, there is an aptitude test which gauges the student’s communication skills.

  • The last test is the private interview test. This test allows our panel to understand the ambitions and goals of the students.

ISDI is among the renowned institutions for the B. Des Program. The eligibility criteria for ISDI are:

Students currently studying in Grade 12 and appearing for their 10+2 board exams are eligible to apply. This includes boards like:

  1. CBSE

  2. ICSE

  3. HSC (Maharashtra)

  4. IGCSE A-Levels

  5. The IB Diploma Program (IBDP) 

  6. Any recognised national or international equivalent.

At ISDI, there is no stream restriction; students from Arts, Commerce, or Science backgrounds are welcome. What matters most is your interest in design, creativity, and innovation. So if you are a science student with a profound interest in design and art, you can give wings to your dreams here at ISDI.

Yes, students are required to submit their design portfolio. Students can:

  • Upload their portfolio while working on their IDSI Challenge

  • The portfolio should contain eight to ten pieces of your best work that proficiently display your design skills. 

  • These pieces can be animated, painted, or sketched according to the student's preference.

Those students who do not have a portfolio can simply:

  • Complete the ISDI Design Project

  • Create a visual work inspired by any ONE of the given themes: One World | Tracing Nature | Translating Tomorrow

  • All forms of design are acceptable, including drawing, video, photography, sculpture, 3D work, collage, and digital images. 

  • Support your project by writing a 500-word essay describing how you developed your ideas.

A. Yes, students who are not in a design program can also apply to study ISDI. We have always believed in inclusivity, and our dynamic selection process ensures that students from diverse backgrounds, including those without a design background, can apply.

Career opportunities after graduating from ISDI are innumerable. Graduates can work as:

  • Art Director

  • Brand Manager

  • Digital Transformation Analyst

  • E?commerce Brand Strategist

  • Design Consultant

  • UX Research Analyst

  • Strategy Consultant

  • Fashion Designer

ISDI has always believed in supporting students beyond their campus as well. Our committee works diligently to help students secure their desired jobs. ISDI assists students in building a strong portfolio by providing:

  • Hands-on experience working in a state-of-the-art lab with cutting-edge design tools.

  • A curriculum that emphasises experiential learning and interdisciplinary approaches will introduce projects that enable students to learn and overcome the challenges they regularly face in their field of study.

  • Our guidance and placement committee provides comprehensive support to help students secure the right internship and lucrative opportunities.

A. ISDI helps the students in building a portfolio and guiding them through job placements as well. We help students by:

  • Having projects which enhance their portfolio

  • Guest lectures and masterclasses

  • SOPs

  • Projects which are a compulsory part of modules

  • Documentation of the project as a part of the portfolio

ISDI always ensures a promising future for its students. Our committee oversees every student's secure internships with top organisations that match their specialisations and career goals. 

  • Interns can work with renowned companies.

  • Work for esteemed designers

  • Gain hands-on experience with live projects and internships

  • Committees are made to make job hunting easy.

ISDI has an astounding record for placements. ATLAS ISDI has a placement committee which works dedicatedly for every student to ensure their placements. The committee guides the students to reach out to a job where their expertise can shine. The curriculum allows students to gain skills, which are:

  • Work for alumni organisations.

  • Work on certifications, which strengthen their credibility.

  • They should maintain an attractive portfolio that aids in securing better placements.

Yes, ATLAS ISDI supports entrepreneurship. The thoughtfully curated module, in collaboration with Parsons School of Design, is designed for students to learn about the principles as well as the dynamics of business. The curriculum is mostly aimed at:

  • The curriculum aims to integrate management with technology and emerging design principles in order to enhance students' skills.

  • Students are encouraged to join the evolving design ecosystem and become innovative designers or entrepreneurs.

  • The global immersion curriculum helps students understand the complexities of the business field, which arise in the design landscape.

Yes, ISDI graduates who have completed their design programme can effortlessly open their own ventures. This can be easily achieved because:

  • ISDI curates a curriculum that includes modules on entrepreneurial leadership. The modules encourage a business mindset with innovation and design in the lead. 

  • The learning environment at ISDI is nurtured by a mentorship ecosystem where industry stalwarts lead masterclasses for students.

  • Students gain comprehensive knowledge about innovation, entrepreneurship, and practical challenges.

  • Graduates graduate with a mindset that combines design and entrepreneurship skills, which are crucial for their venture.