ATLAS SkillTech University: India's 1st Urban Multidisciplinary University ATLAS SkillTech University

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

Building the Digital Foundation

The first semester introduces the language of computing, analytical thinking, and digital creativity. Students explore the fundamentals of programming, logic, mathematics, and emerging technologies while developing essential professional and communication skills.

Introduction to Computer Science & Programming 1

Gain a solid foundation in computational thinking and programming through hands-on coding exercises that strengthen logical reasoning and algorithmic problem-solving.

Calculus 1

Explores limits, derivatives, and integrals to build a strong mathematical foundation for modelling and analysis.

Foundations of Statistics and Probability for AI & ML

Covers key concepts of statistics and probability essential for AI and machine learning applications.

Databases and SQL

Teaches database design, management, and querying using SQL for efficient data organization and analysis.

Chemistry

The Chemistry program explores the principles of matter and its interactions through theory and hands-on labs, linking molecular science to real-world applications. It builds analytical, research, and problem-solving skills for careers in science and innovation.

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

Applies data science techniques to real-world AI, machine learning, and robotics contexts for intelligent problem-solving.

Communication Skills for Digital World

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

ATLAS Elective

Broaden your worldview by exploring a course beyond your core discipline.

Simulation/Computer Game Design (Pinnacle I)

Introduces game design principles, simulation concepts, and storytelling through interactive digital experiences.

Semester 2

From Code to Data Thinking

This semester deepens computational fluency and introduces data-centric problem-solving. Students move from writing code to understanding how data flows, connects, and powers innovation.

Introduction to Computer Science & Programming II

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.

Mathematics for Computer Science

Explore the grey areas of business decisions. This course challenges you to think critically about corporate responsibility, ethical dilemmas, and the role of values in leadership.

Calculus 2

From ChatGPT to data-driven insights, understand how modern AI tools are transforming industries. Learn how to work with them—not against them—for smarter, faster outcomes.

Physics

Another chance to explore an interest area more deeply. These electives help you round out your core learnings with a skillset that fits your ambitions.

Statistical Modeling

Understand what drives consumer decisions and how to build brands around real human needs. Learn the fundamentals of marketing strategy, audience segmentation, and behaviour-based targeting.

Indian Health Sciences

Understand how binary logic and hardware circuits form the basis of computational devices.

Expository Writing

Strengthen your multidisciplinary learning portfolio.

ATLAS Elective

Strengthen your multidisciplinary learning portfolio.

Data Analyst Project (Pinnacle II)

Applies data analysis, visualization, and storytelling to real-world problems through an integrated capstone project.

Semester 3

Intelligence Meets Security

Students begin merging artificial intelligence with secure system design. They build smart algorithms while learning how to safeguard the digital systems that host them.

Machine Learning Foundations (Pinnacle)

Introduces core ML concepts, algorithms, and model-building techniques through hands-on applications and projects.

Computer Organization and Architecture

Explores how computers work from the inside—covering hardware components, memory systems, and instruction execution.

Linear Algebra

Builds mathematical foundations for AI and data science through vector spaces, matrices, and transformations.

Data Structures and Algorithms

Covers efficient data organization and algorithmic design for solving computational problems effectively.

Foundation of Cybersecurity

Examines key principles of digital security, encryption, and network protection to safeguard information systems.

Model Thinking

Teaches how to use mathematical and conceptual models to understand complex systems and real-world behaviors.

Foundational Literature of Indian Civilization

Explores classical Indian texts, philosophies, and cultural narratives that shaped the subcontinent’s intellectual heritage.

ATLAS Elective

Continue exploring electives outside your technical domain.

Digital System's Security Design (Pinnacle II)

Applies advanced ML techniques to scientific domains like astrophysics, particle physics, and drug discovery.

Semester 4

Becoming a Game Developer

This semester emphasizes infrastructure — how computers communicate, share data, and stay resilient against threats.

Advanced Machine Learning (Pinnacle as Laboratory)

Explores advanced machine learning techniques and architectures through hands-on experimentation, emphasizing real-world data modelling, optimization, and algorithmic innovation in laboratory settings.

Ethical Testing and Penetration Testing

Covers principles and practices of ethical hacking, focusing on identifying system vulnerabilities, conducting penetration tests responsibly, and strengthening cybersecurity defences.

Operating Systems and Networks

Introduces operating system concepts, process management, and computer networking fundamentals, building understanding of system-level interactions and data communication.

Cybersecurity Risk Management

Examines how artificial intelligence enhances cybersecurity through threat detection, anomaly identification, and automated defense strategies against evolving digital attacks.

Software Engineering Principles

Covers software design methodologies, development lifecycles, and quality assurance techniques to equip students with practical tools for building scalable, maintainable systems.

Cryptography

Explores cryptographic algorithms, encryption techniques, and security protocols essential for protecting digital information and ensuring data integrity.

Business Plan Writing

Develops skills to conceptualize, structure, and present business plans, integrating market analysis, financial planning, and strategic thinking.

ATLAS Elective

Interdisciplinary courses encouraging exploration across technology, arts, logic, and applied sciences to foster well-rounded, cross-domain perspectives.

AI Systems Security Design (Pinnacle VI)

Applies advanced AI and data science to build large-scale recommendation systems for streaming platforms, integrating user behavior analysis, machine learning, and business logic.

Semester 5

Securing the Intelligent Web

Students explore how artificial intelligence enhances digital security. The semester blends analytics, blockchain, and forensics with leadership and communication training.

Reinforcement Learning and NLP

Introduces reinforcement learning and natural language processing, focusing on training intelligent agents, language models, and conversational AI systems through data-driven techniques.

Computer Vision and Deep Learning

Covers deep learning architectures for visual recognition, image processing, and video analysis, emphasizing convolutional networks and real-world computer vision applications.

Web Technologies and Application Security

Explores modern web development frameworks, protocols, and secure coding practices to design robust, scalable, and secure web-based systems.

Networks, Protocols and Security

Examines computer network architectures and communication protocols with an emphasis on network security, data protection, and secure transmission practices.

Cloud and Virtualization Security

Focuses on securing cloud environments and virtual infrastructures, covering cloud architecture, identity management, and risk mitigation strategies.

Entrepreneurship Development

Builds entrepreneurial mindset and business planning skills through opportunity identification, innovation strategies, and venture creation exercises.

Cultural and Intellectual Heritage of English

Explores key works and ideas from English literary and philosophical traditions, emphasizing their influence on contemporary thought and global culture.

Enterprise Grade Connected Device Application: Self-Driving Cars (Pinnacle V)

Applies AI, machine learning, and IoT technologies to design and simulate self-driving systems, integrating sensor data processing, control algorithms, and ethical decision-making frameworks.

Semester 6

Ethical Hackers & Cloud Defenders

Learners evolve into ethical security specialists through immersive labs and industry exposure.

Secure Coding

Focuses on designing and implementing software with robust security practices, teaching techniques to prevent vulnerabilities and defend against cyberattacks through real-world coding projects.

Security for Database Systems

Covers methods for securing databases, including encryption, access control, auditing, and protection against SQL injection and data breaches.

Cyber Forensics, Investigation and Incident Response

Introduces digital forensics tools and processes for identifying, analyzing, and responding to cybersecurity incidents and data compromises.

AI and Cybersecurity

Explores how artificial intelligence enhances threat detection, risk analysis, and automated defense, while also addressing AI-driven security challenges.

Adversarial Machine Learning

Examines techniques for attacking and defending AI models, focusing on robustness, model integrity, and the evolving landscape of adversarial threats.

Language of Science and Technology (English)

Develops advanced communication and analytical writing skills for technical and scientific contexts, emphasizing clarity and precision.

Introduction to Indian Mathematics & Astronomy

Explores India’s rich heritage in mathematics and astronomy, tracing foundational concepts and their influence on global scientific thought.

Digital Forensics

Provides hands-on professional experience, enabling students to apply academic learning in real-world technical and research environments.

Semester 7

Cyber Leadership & Advanced Defense

This semester cultivates strategic thinkers capable of designing, auditing, and managing security at an organizational scale.

Threat Intelligence & Modelling

Covers methods to collect, analyze, and model cybersecurity threats, enabling proactive defense through data-driven intelligence and prediction.

Core Elective 1

Enables students to specialize in advanced areas within cybersecurity, artificial intelligence, or data science, fostering technical depth through applied projects and analytical research.

Core Elective 2

Provides domain-specific expertise through focused coursework in cybersecurity, AI, or data analytics, emphasizing problem-solving, experimentation, and implementation of real-world solutions.

Core Elective 3

Encourages professional specialization by integrating theoretical learning with project-based applications across cybersecurity, AI, or data science, refining both strategic and technical proficiency.