Curriculum 2026

BCA Curriculum Navigator

Amal Jyothi College of Engineering Autonomous
Bachelor of Computer Applications  ·  AI & ML Enhanced Scheme

8 Semesters
4 Years
177 Credits
6 Elective Groups
30 Elective Options
Why AI & ML Matter in This Programme

Every course is shaped by
Artificial Intelligence & Machine Learning

  • 🤖 AI-Augmented Development — From Semester IV onwards, students apply AI tools in software engineering, code generation, and intelligent system design as a core skill, not an add-on.
  • 📊 Data Science & ML as Core — Semester V anchors Data Science and Machine Learning as a Professional Core Course (PCC), ensuring every BCA graduate understands predictive modelling and real-world analytics.
  • ☁️ Cloud + AI Infrastructure — Cloud Computing, Containerisation, and Serverless Architecture courses prepare students to deploy AI models at scale — a skill the industry urgently needs.
  • 🧠 Specialisation Pathways — Electives include Deep Learning, NLP & Conversational AI, Computer Vision, Generative AI & LLMs, and MLOps — so students can build a focused AI/ML career track.
  • 🔐 Responsible AI — AI Ethics, Governance & Responsible AI ensures graduates understand the societal and regulatory dimensions of deploying AI systems ethically.

📊 Credit Progress

Select a semester
PCC – Professional Core
HSMC – Humanities & Mgt
BSC – Basic Science
PEC – Prof. Elective
OEC – Open Elective
GEN – General Elective
PWS – Project / Seminar
SA – Student Activities