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Integrated B.Tech in CS, AI & ML + MBA in Technology Management

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.

Shape the Future of Tech and Business

Learn from Industry Pioneers

Get mentored by technology and business leaders who’ve built global innovations — and are ready to help you do the same.
01

Experince Real-World Learning

Apply classroom concepts to real business challenges through live projects, internships, and industry collaborations.
02

Master the Blend of Technology and Management

Gain a dual advantage — build cutting-edge AI and tech skills while mastering business strategy, leadership, and decision-making.
03

Launch Your Global Career

Prepare for high-impact roles in product management, consulting, data strategy, and entrepreneurship with a future-ready curriculum.
04

Build and Scale Your Startup

Turn your innovation into a venture. Our incubators and mentors help you take your idea from concept to company.
05

Focus on B.Tech + MBA

The ATLAS Integrated B.Tech in Computer Science, AI & ML + MBA in Technology Management dual degree program blends deep technical mastery in Artificial Intelligence, Machine Learning, and Computer Science with advanced managerial and strategic competencies in Technology Management. It equips students to design intelligent systems, drive digital innovation, and lead data-driven organizations in a rapidly evolving technological landscape.

Semester 1

Strengthening Computational and Analytical Skills
This semester deepens students’ understanding of computational logic and mathematical reasoning. It enhances their ability to design data-driven models and apply structured problem-solving in programming and analysis.
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
Covers relational database design, data querying, and management using SQL principles.
Expository Writing
Develops clarity in academic and technical writing for effective professional communication.
Chemistry
Explores basic chemical principles and their applications in technology, materials, and interactive systems.
Introduction to Computer Science & Programming 1
Provides a hands-on introduction to computational thinking and programming fundamentals.
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.
Mathematics for Computer Science
Focuses on discrete mathematics, logic, and proofs essential for computer algorithms and computation.
Calculus 2
Extends integral and differential concepts with applications in algorithmic modeling and simulations.
Statistical Modeling
Teaches how to construct and interpret statistical models to analyze real-world data patterns.
Computer Organization and Architecture
Explores computer system components, data processing, and architectural performance optimization.
Introduction to Computer Science and Programming 2
Builds upon basic programming to develop efficient algorithms and modular code.
Model Thinking
Introduces conceptual modeling methods to represent complex systems and decision-making processes.
ATLAS Electives
Offers creative, cross-disciplinary courses blending design, computation, and innovation.
Data Analyst Project (Pinnacle II)
Applies statistical and programming concepts to design analytical solutions for business problems.

Semester 3

Advancing Technical Intelligence and Machine Learning Foundations
This semester integrates computational systems with data-driven intelligence. Students gain exposure to foundational machine learning concepts, advanced data structures, and system-level programming essential for scalable AI solutions.
Operating Systems and Networks
Explores how computer systems and networks work together to manage, connect, and share digital resources efficiently.
Unstructured Data, NoSQL, and Storage Techniques
Introduces non-relational databases and techniques for handling large-scale, unstructured data efficiently.
Data Structures
Focuses on organizing and managing data through efficient storage, retrieval, and algorithmic manipulation.
Linear Algebra
Provides the mathematical foundation for AI, computer graphics, and machine learning algorithms.
Machine Learning Foundations
Provides the mathematical foundation for AI, computer graphics, and machine learning algorithms.
Physics
Builds analytical reasoning through the study of physical systems and mathematical modeling of real-world processes.
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

Integrating Machine Learning and Scalable Engineering Systems
This semester focuses on scaling AI systems through advanced learning models, algorithmic design, and lifecycle management. Students gain expertise in handling complex data workflows and implementing enterprise-grade AI applications.
Large-Scale Data Storage
Explores distributed data storage systems, replication, and consistency models for big data environments.
Data Engineering Operations
Covers ETL processes, data pipeline automation, and workflow orchestration for AI-driven enterprises.
Introduction to Algorithms
Teaches algorithm design paradigms such as divide-and-conquer, dynamic programming, and graph optimization.
Advanced Machine Learning
Builds upon foundational ML to include ensemble methods, deep neural networks, and reinforcement learning.
Software Development Lifecycle, DevOps, and MLOps
Integrates agile methodologies, CI/CD pipelines, and MLOps frameworks for scalable AI model deployment.
ATLAS Electives
Provides students with opportunities to cultivate leadership, communication, and creative thinking.
An Enterprise Grade AI Application: Recommendation Engines for OTT Platforms (Pinnacle 4)
Applies AI and ML techniques to develop real-time recommendation systems for digital media platforms.

Semester 5

Expanding Intelligent Systems through Optimization and Emerging Technologies
This semester integrates core AI engineering with applied optimization and innovation-driven technologies. Students advance toward intelligent automation and modern application design while preparing for real-world implementation through internships.
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.
Emerging Technologies
Introduces rapidly evolving areas like quantum computing, IoT integration, and edge AI to understand future innovation landscapes.
Numeric Optimization Techniques
Covers gradient-based and heuristic methods for optimizing models, systems, and industrial processes.
Advanced Algorithms
Develops problem-solving skills through efficient algorithmic strategies for large-scale, real-time data systems.
ATLAS Electives
Encourages interdisciplinary thinking through innovation, communication, and social awareness projects.
Enterprise Grade Connected Device Application: Self-Driving Cars (Pinnacle 5)

Semester 6

Innovating Secure and Scalable AI Systems through Business Insight
This semester bridges artificial intelligence with cybersecurity and business fundamentals, empowering students to design secure, entrepreneurial, and financially viable technology solutions.
UI/UX Development
Focuses on creating user-centered digital experiences through design principles, usability testing, and interface prototyping.
Secure Coding
Teaches best practices to write robust, vulnerability-free software applications.
Cybersecurity and Blockchain
Explores modern cryptographic methods, blockchain applications, and decentralized systems for secure data management.
Entrepreneurship Development
Introduces innovation-driven entrepreneurship, covering startup ideation, product design, and business scaling strategies.
Recent Advances and Challenges in AI
Analyzes emerging research in AI ethics, generative models, and responsible machine learning frameworks.
ATLAS Electives
Encourages interdisciplinary learning and leadership development through creative and professional enrichment modules.
Build Your Own Encryption Software (Pinnacle 6)

Semester 7

Integrating Generative Intelligence with Strategic Innovation
This semester merges technical AI mastery with business leadership and intellectual innovation. Students design practical AI-driven solutions while gaining exposure to the human and digital dimensions of organizational management.
AI in Engineering
Examines advanced applications of artificial intelligence in design optimization, automation, and smart industrial systems.
Gen AI with Agentic AI
Explores generative and autonomous AI systems that collaborate, reason, and make context-aware decisions.
Intellectual Property and Innovation in AI
Covers global IP frameworks, patent strategies, and legal-ethical considerations for AI-based inventions.
Design Project Minor (Pinnacle 7)

Semester 8

Lead Ethically in the Intelligent
Enterprise Era
This semester bridges AI innovation with leadership, governance, and organizational transformation. Students learn to balance cutting-edge technology deployment with ethical responsibility, strategic foresight, and managerial excellence.
Cloud Application Development
Covers scalable architecture design, deployment, and management of AI-driven cloud platforms and microservices.
Project Life Cycle Management
Teaches structured methodologies for planning, executing, and evaluating complex AI and software projects efficiently.
Ethical Hacking
Explores penetration testing and vulnerability assessment to safeguard digital ecosystems against modern cyber threats.
Gen AI Tools and Prompt Engineering
Trains students to leverage large language models, fine-tune generative systems, and optimize AI-human interaction.
Data Visualization and Business Intelligence

Semester 9

Drive Innovation and Technology-Led Leadership
This semester integrates strategic technology management with innovation, sustainability, and advanced analytics. Students learn to lead digital transformation, manage large-scale tech projects, and build adaptive enterprises in evolving global markets.
Advanced Technology Strategy and Digital Transformation
Learn to design and execute strategies that drive digital innovation and business growth.
AI-Driven Business Intelligence and Advanced Analytics
Leverage AI and analytics to extract insights and enable smarter decision-making.
Innovation Management and Technology Entrepreneurship
Develop the mindset and skills to build and lead tech-driven startups.
Business Simulation
Experience real-world business challenges through interactive, simulated decision-making.
Emerging Technologies Leadership and Organizational Transformation
Lead change and innovation in technology-centric organizations.
Advanced Project Management and Technology Consulting
Master complex project execution and provide expert consulting solutions.
Sustainable Technology and Social Innovation

Semester 10

Innovate, Integrate, and Lead
Technological Enterprises
The final semester focuses on innovation-led enterprise management, intelligent systems, and sustainable digital transformation. Students consolidate their technical and managerial expertise through real-world projects and enterprise-scale implementations.
AI and Machine Learning Enterprise Solutions
Apply AI and ML to create intelligent, scalable solutions for modern businesses.
Fintech and Digital Financial Technologies
Explore the technologies revolutionizing finance and digital transactions.
Managing Innovation
Learn to lead and nurture innovation within dynamic business environments.
Business Infrastructure – Enterprise Planning
Understand and design enterprise systems that support strategic business operations.
Next Generation Supply Chain Management
Discover how AI and analytics optimize global supply chain networks.
Advanced Internet of Things (IoT) and Connected Ecosystems
Build and manage intelligent connected systems that drive smart innovations.
Project and Dissertation
Conduct a comprehensive research project showcasing your technical and strategic expertise.

Program Outcomes

Intelligent Systems for Business Innovation
Develop intelligent, data-driven systems that solve real-world business and management challenges.
Industry-Co-Designed Curriculum
Learn through a program crafted with inputs from CTOs, product leaders, and AI innovators.
Master Tech-Driven Decision Making
Use analytics, machine learning, and business intelligence to drive strategic decisions.
Lead Digital Transformation Initiatives
Gain the expertise to integrate emerging technologies into organizations for scalable growth.
Innovate and Build Sustainable Ventures
Combine technical acumen and entrepreneurial insight to create sustainable tech startups.
Graduate as a Tech Leader
Step into the industry ready to lead — bridging the gap between innovation, management, and impact.

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

Graduate with the versatility to lead in courtrooms, corporations, and policy spaces worldwide.

AI Scientist
Data Scientist
ML Engineer
Business Intelligence Researcher
AI Engineer
Big Data Analyst
AI Consultant

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
What I love about uGDX B.Tech program is that every semester has specific goals and outcomes.
Adarsh Mukherhjee
Student, uGDX

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

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

Questions? We can read your mind

How is ATLAS ISME?
Do ATLAS ISME offer bachelors or UG programs and what are the specialisations available?
Are ATLAS ISME undergraduate programs UGC‑certified?
What is the Multidisciplinary Approach at ATLAS ISME?
Do ATLAS ISME really provide industry immersions?
What are the top career opportunities after a BBA from ATLAS ISME?
What are the top career opportunities after a BSC in Finance from ATLAS ISME?
How are ATLAS ISME’s future-focused programs, like BBA in Digital Branding or AI & Emerging Tech, different from a traditional BBA degree?
What kinds of real-world simulations and decision-making scenarios are included in the ATLAS ISME academic curriculum?
Can ATLAS ISME undergraduate students launch real startups while earning credits, and how do these ventures receive support?
Do ATLAS ISME students get global exposure during their undergraduate studies?
Does ATLAS ISME have campus placements for its students? What are some real career outcomes of ATLAS ISME students?
Do ATLAS ISME offer experiential learning? What is the teaching methodology at ATLAS ISME?
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