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

Foundations of Computational Intelligence

This semester builds a strong technical base through programming, mathematics, and data principles essential for AI and machine learning. Students develop analytical reasoning, computational logic, and database proficiency while exploring interdisciplinary applications.

Introduction to Computer Science and Programming 1

Introduces computational thinking, coding logic, and basic programming concepts.

Calculus 1

Covers foundational calculus concepts essential for modeling and analytical reasoning.

Foundations of Statistics and Probability for AI and ML

Teaches core probability and statistical methods used in AI and machine learning.

Databases and SQL

Focuses on database design, querying, and management using SQL.

Chemistry

Provides insight into fundamental chemical principles and their technological applications.

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

Introduces computational thinking and the basics of AI-driven robotics.

Communication Skills for Digital World

Enhances professional and technical communication tailored for digital, collaborative, and research environments.

ATLAS Electives

Allows interdisciplinary exploration to broaden understanding across technology, design, and innovation domains.

Simulation/Computer Game Design (Pinnacle I)

Introduces simulation logic and interactive design principles through computer-based game development projects.

Semester 2

Advancing Computational Logic and Scientific Foundations

Deepen your understanding of computer science, mathematics, and physical principles through advanced courses in programming, calculus, and mechanics. This semester emphasizes algorithmic problem-solving, data modeling, and logical reasoning—while fostering strong scientific literacy, writing clarity, and holistic awareness through explorations in health sciences and expository communication.

Introduction to Computer Science and Programming 2

Advances coding proficiency with algorithmic design, data structures, and complex problem-solving in programming.

Mathematics for Computer Science

Explores discrete mathematics and logic essential for algorithms, computation, and software design.

Calculus 2

Extends calculus concepts to sequences, series, and multivariable problems used in advanced computing applications.

Engineering Physics (Mechanics)

Explores the physical principles governing motion, forces, and energy in engineering contexts.

Statistical Modelling

Focuses on building and interpreting models to analyze data and make predictions.

Indian Health Sciences

Examines traditional and modern perspectives on health and wellness in India.

Expository Writing

Enhances written communication through structured, clear, and persuasive writing techniques.

ATLAS Electives

Encourages interdisciplinary exploration linking robotics with innovation, design, and sustainability domains.

Data Analyst Project (Pinnacle II)

Applies data analytics tools and techniques to solve structured, real-world data challenges.

Semester 3

Exploring Hardware, Automation, and Machine Learning Foundations

Delve into computer architecture, robotics, and electronics while mastering algorithms, data structures, and machine learning — bridging hardware and intelligent computation.

Computer Organization and Architecture

Explains the internal workings of computers, covering hardware design and system performance.

Fundamentals of Robotics and Automation

Introduces robotic systems, sensors, actuators, and automation principles.

Analog, Digital Electronics and Communication

Covers electronic circuit design, digital logic, and communication fundamentals.

Machine Learning Foundations

Provides core ML concepts including supervised, unsupervised, and reinforcement learning.

Model Thinking

Teaches how mathematical and computational models can explain complex real-world systems.

Data Structures, Files & Algorithm

Focuses on efficient data organization, algorithm design, and file management.

Foundational Literature of Indian Civilization

Explores classical Indian texts and philosophies shaping culture and thought.

ATLAS Electives

Encourages creative and interdisciplinary applications across design, technology, and social innovation.

Robotic System Design (Pinnacle III)

Applies robotics principles in designing integrated systems with sensors, movement, and computation.

Semester 4

Integrating Engineering, Biology, and Advanced AI

Advance into complex system design with a focus on sensors, mechanics, materials, and machine learning. This semester bridges electrical, mechanical, and biological engineering with entrepreneurship and applied computing.

Sensors, Actuators and Electrical Systems

Introduces the principles of sensors, actuators, and control in modern electrical systems.

Fundamentals of Mechanical Engineering

Covers mechanics, thermodynamics, and machine design essentials for engineers.

Biology for Engineers

Explores biological systems and their applications in biotechnology, AI, and bio-inspired design.

Advanced Machine Learning

Provides hands-on experience with complex ML models and real-world data experimentation.

Fundamentals of Material Science & Smart Materials

Examines the structure, properties, and applications of conventional and intelligent materials.

Operating Systems and Networks

Focuses on the architecture, functionality, and coordination of modern operating systems and networks.

Business Plan Writing

Develops entrepreneurial and strategic planning skills through real-world business case studies.

ATLAS Electives

Encourages creative interdisciplinary growth through courses beyond technical boundaries.

Mechatronics & Automation System Design (Pinnacle IV)

Applies mechatronic principles to design integrated, automated systems combining mechanics and AI.

Semester 5

Advancing AI, Robotics, and Entrepreneurial Innovation

Explore cutting-edge AI domains like NLP, deep learning, and computer vision while mastering robotics, control systems, and industrial electronics. Strengthen leadership through entrepreneurship and cultural insight.

Reinforcement Learning and NLP

Explores intelligent systems that learn from interaction and understand human language.

Computer Vision and Deep Learning

Focuses on neural networks and visual data processing for recognition and automation.

Kinematics of Robotics

Studies motion analysis and control of robotic arms and mechanical systems.

Entrepreneurship Development

Encourages innovation and startup creation through business and leadership skills.

Control Systems

Examines feedback mechanisms and control theory for stable and efficient system performance.

Industrial Electronics and Power Convertors

Covers electronic devices and power conversion techniques for industrial automation.

Cultural and Intellectual Heritage of English

Explores English literary and philosophical traditions shaping global culture.

Interactive Autonomous System Design (Pinnacle V)

Applies mechatronic principles to design integrated, automated systems combining mechanics and AI.

Semester 6

Bridging Design, Security, and Intelligent Manufacturing

Dive into motion planning, machine design, and mechatronic systems while exploring cybersecurity, blockchain, and modern manufacturing. Strengthen innovation through interdisciplinary applications in automation and technology communication.

Dynamic and Trajectory Planning

Focuses on motion planning and control for robotic and autonomous systems.

Theory of Machine and Machine Design

Explores kinematics, dynamics, and design of mechanical components and systems.

Cybersecurity and Blockchain

Introduces data protection, encryption, and blockchain technologies for secure autonomous operations.

Mechatronic System Design

Integrates mechanical, electrical, and software components into smart automated systems.

Manufacturing Processes and Additive Manufacturing

Teaches modern production techniques including 3D printing and rapid prototyping.

Language of Science & Technology (English)

Develops scientific writing and technical communication skills.

Introduction to Indian Mathematics and Astronomy

Examines India’s historical contributions to mathematical and astronomical sciences.

Summer Internship

Applies robotic and system design concepts in real-world environments, fostering professional growth and innovation.

Design of Distributed Robotic Exploration System (Pinnacle VI)

Applies robotic and system design concepts in real-world environments, fostering professional growth and innovation.

Semester 7

Research & Connected Intelligence

Explore the Internet of Robotic Things, knowledge graphs, and advanced electives in AI and automation. Strengthen research and analytical abilities while gaining insight into constitutional values and ethical innovation.

Internet of Robotics Things (IRoT)

Combines IoT and robotics to create connected, intelligent robotic ecosystems.

Core Elective 1

Specialized elective allowing deeper exploration of a chosen robotics or AI domain.

Core Elective 2

Continues focused study in an advanced area of technology or engineering.

Core Elective 3

Offers flexibility to pursue niche topics in robotics, automation, or AI innovation.

Knowledge Graph

Teaches the structure, representation, and linking of data for intelligent information systems.

Constitution of India (Audit Course)

Provides understanding of Indian constitutional values, rights, and civic responsibilities.

Research Methodology

Develops skills for conducting systematic research and academic writing.

Hydraulic and Pneumatic Controls for Robotics

Studies mechanical power systems and actuators for precise robotic movement and automated industrial applications.

Semester 8

Innovation and Industry Application

Focuses on building industry-ready products through research, simulation, and advanced robotics — bridging academic learning with real-world innovation.