A radical departure from traditional engineering. Our curriculum is a living ecosystem of deep-tech courses, hands-on innovation labs, and customizable tracks. Explore the 8-semester roadmap and build a degree as unique as your ambitions.
Degree Architecture
Progressive Mastery: Start with foundations, scale to advanced systems through a carefully sequenced 8-semester progression.
Unprecedented Customization: Choose 1 Major + up to 4 Minors to build a highly specialized, cross-disciplinary degree.
Build from Day One: Innovation Labs begin in Semester 1, with real-world projects and studio-style execution.
Intensive Semesters
8
A carefully sequenced progression from foundational computing to advanced engineering systems.
Specialization Pathways
15
Choose 1 Major and up to 4 Minors to build a highly specialized, cross-disciplinary degree.
Deep-Tech Courses
118+
Covering everything from Quantum Mechanics to LLMs, Web3, and Autonomous Robotics.
The curriculum supports one major pathway, a structured advanced elective pool, and multiple minor domains that evolve from exploratory to advanced stages.
Six required specialization courses plus four advanced electives from the same track.
Focuses on software architecture, cloud computing, distributed systems, DevOps, and scalable service development.
Covers machine learning, deep learning, generative AI, natural language processing, computer vision, and intelligent systems.
Focuses on statistics, databases, analytics engineering, big data systems, and predictive modeling.
Focuses on information security, cryptography, network defense, digital forensics, and secure application engineering.
Focuses on robotics mechanics, embedded systems, perception, control systems, autonomous navigation, and ROS.
Explore four domains in Semesters 3-6, then continue two of them as advanced minors in Semesters 7-8.
Applies computation, algorithms, and data analysis to genomics, biological systems, and molecular data.
Covers biomedical signals, systems, sensors, and medical image analysis through a computing lens.
Focuses on HCI, spatial computing, immersive experiences, and interaction-centered product development.
Focuses on industrial IoT, digital twins, automation, and cyber-physical production systems.
Connects computational modeling, material science, and data-driven analysis for advanced materials.
Covers algorithmic finance, market systems, blockchain, DeFi architectures, and financial computation.
Focuses on digital design, SoC architecture, semiconductor systems, verification, and RISC-V platforms.
Focuses on GIS, spatial analysis, geospatial data systems, and geospatial AI.
Covers urban informatics, connected infrastructure, sensing systems, and data-driven urban platforms.
Focuses on automotive embedded systems, EV mechatronics, and autonomous vehicle intelligence.
These studio-style labs are a defining part of the curriculum. Each one blends guided tasks, build-heavy execution, and modern engineering tools from the official syllabus.
Focuses on the raw "View" layer of the web. Over three sessions, students will move beyond basic syntax to understand the Document Object Model (DOM) tree. They will hand-code a responsive "Personal Portfolio" landing...
Sample modules
Focuses on managing complex data structures across a decoupled interface. Students move beyond local component state to handle global "Application State." They will implement a robust state manager (like Redux Toolkit...
Sample modules
Focuses on moving beyond the stateless HTTP request-response cycle. Students will use WebSockets and Server-Sent Events (SSE) to build a "Live Collaborative Whiteboard" (similar to Miro/Figma). They will learn the con...
Sample modules
Aim: The student must architect, build, and deploy a fully functional Software-as-a-Service (SaaS) platform capable of handling real users, transactions, and concurrent traffic.
Sample modules
Every row below comes from the official semester scheme. Expand a semester to see course pages, labs, major requirements, minor requirements, and elective placeholders in one readable view.