Integrated MCA
Curriculum Navigator

A 5-year journey from foundational computing
to AI-ready professional mastery

• 🧩 Built-in AI progression — The programme is architected to introduce AI concepts early (Sem V: Intro to AI) and deepen them progressively through Deep Learning (Sem IX) and Generative AI & LLMs (Sem IX), giving students a 5-year AI learning arc.
• 📊 Data Science & ML as Core — Semester VI dedicates a full Professional Core Course to Data Science and Machine Learning, paired with a hands-on ML Lab — ensuring every graduate is ML-literate, not just ML-aware.
• ⚙️ AI-Augmented Development — Semester V integrates AI into software engineering practices itself, teaching students to use AI tools for code generation, testing, and architecture — mirroring how industry actually works today.
• 🌐 Edge, Cloud & Distributed AI — Semester VII covers Distributed, Edge and GPU Computing Systems — the infrastructure that makes large-scale AI deployment possible in production environments.
• 🔬 Research-track AI Electives — Electives in Reinforcement Learning, Computer Vision, NLP, Generative AI, and AI Ethics allow students to specialise deeply in any AI/ML subdomain during their final year.