B.Tech in CS, AI & ML

Build intelligent systems and shape the future of technology.
Next Cohort
July 2027
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 & ML at ATLAS uGDX

Master Advanced AI & ML Skills

Learn to program intelligent algorithms and develop solutions that power automation, prediction, and decision-making across industries.
01

Develop competencies to build tech startups

Understand how technology, innovation, and entrepreneurship intersect - and how to turn ideas into viable ventures.
02

Create compelling tech experiences through design

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

Learn to apply technology in real industry contexts

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

Learn to lead in a global AI-driven world

Graduate with the technical depth, business acumen, and global perspective to shape the future of technology.
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

Become a Game Developer
This semester introduces the foundational principles of programming, mathematics, and digital communication essential for aspiring game developers. Students build analytical skills, explore computation, and begin creative problem-solving through simulation and game design.
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.
Communication Skills for Digital World
Enhances written and verbal communication tailored for digital, academic, and professional contexts.
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

Become a Data Analyst
This semester strengthens computational, mathematical, and analytical thinking skills essential for data-driven decision-making. Students explore algorithms, modeling, and applied projects that bridge science, programming, and real-world data interpretation.
Introduction to Computer Science and Programming 2
Advances coding proficiency through structured programming, data types, and modular problem-solving.
Mathematics for Computer Science
Explores discrete mathematics, logic, and combinatorics vital for computational systems design.
Calculus 2
Extends integral and differential calculus applications in modeling and engineering systems.
Physics
Covers mechanics, electromagnetism, and thermodynamics to strengthen scientific grounding in computational systems.
Statistical Modeling
Focuses on building and interpreting predictive models using regression and probabilistic analysis.
Indian Health Sciences
Examines traditional health knowledge systems and their relation to technology, ethics, and data innovation.
Expository Writing
Develops clarity, structure, and critical reasoning in technical and analytical writing.
ATLAS Electives
Offers cross-domain learning to build interdisciplinary competence and creativity.
Data Analyst Project (Pinnacle II)
Applies statistical and computational techniques to analyze real datasets and visualize insights.

Program Outcomes

Strong Computational Foundations
Build strong skills in programming, algorithms, and problem-solving.
Mastery in AI and Machine Learning
Learn to design and train intelligent, adaptive systems.
Robotics & Automation
Apply AI to real-world robotics and mechatronic systems.
Product Innovation & Development
Prototype and develop practical, AI-driven solutions.
Ethical & Interdisciplinary Thinking
Understand technology’s social and ethical impact.
Career & Research Readiness
Graduate prepared for advanced careers or further studies.

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

Student Voices: Real Voices from the Program

  • Unlike many other B.Tech programs, we have an outcome defined for every semester.
    Ayush Gharat
    2nd year student, uGDX
  • At uGDX, I have started viewing the world in a different way.
    Leisha Totani
    2nd year student, uGDX
  • We get endless opportunities here at ATLAS uGDX.
    Mohit Bhimrajka
    2nd year student, uGDX
  • What I love about uGDX B.Tech program is that every semester has specific goals and outcomes.
    Adarsh Mukherjee
    2nd year student, uGDX

Your guide to joining B.Tech in CS, AI & ML at ATLAS uGDX

01
Fill the online Application Form
Apply for July 2027 Intake
02
uGDX Challenge
03
Personal Interview
04
Result
Announcement
05
Complete
Enrolment
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!
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.
More questions?
Let our AI Assistant answer your queries

Questions? We can read your mind

Applicants must have completed Class 12 or an equivalent qualification from a recognised board, typically with science or technical subjects. Program-specific academic requirements and aptitude assessments may also be part of the selection process.

Admissions may involve an entrance assessment, aptitude test or university-defined evaluation process. Applicants are advised to refer to the official Atlas admissions portal for the latest accepted exams and criteria.

Students apply online through the Atlas SkillTech University admissions portal. The process generally includes application review, academic evaluation and participation in assessments or interviews where required.

The curriculum covers computer programming, data structures, artificial intelligence, machine learning, deep learning, data analytics and cloud computing. Students also work on applied projects that focus on real-world AI applications.

Prior coding experience is helpful but not mandatory. The program is structured to build programming and computational thinking skills from the fundamentals, making it suitable for both beginners and experienced students.

The fee structure varies based on the academic year and program offerings. Students should consult the official Atlas University website or admissions team for the most accurate and up-to-date fee details.

Yes. Atlas SkillTech University offers merit-based scholarships, need-based financial assistance and program-specific awards to eligible students. Scholarship criteria are outlined on the admissions portal.

Graduates can pursue careers in artificial intelligence, machine learning, data science, software development and technology consulting. Opportunities exist across IT, fintech, healthcare, e-commerce and research-driven organisations.

Salary outcomes vary based on skills, role and employer. Entry-level AI & ML professionals in India typically command competitive packages, with strong growth potential as experience and expertise increase.

Yes. The program includes internships, live industry projects, masterclasses and professional visits, ensuring students gain real-world exposure and industry-relevant skills.

B.Tech AI & ML offers a specialised focus on artificial intelligence and machine learning, while regular Computer Science provides a broader foundation. This program is ideal for students aiming to build careers in AI-driven technologies.

The B.Tech in CS, AI & ML is a four-year undergraduate program, structured across multiple semesters with progressive learning and hands-on exposure.

Yes. Graduates are well-prepared to pursue master's and doctoral programs abroad in AI, data science, computer science and related fields, supported by a strong academic and experiential foundation.