BCA Semester 6 Subjects & Curriculum

Browse subject folders below to access unit-by-unit syllabus, textbooks, video lectures, and PDF study notes for Bachelor of Computer Applications.

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Semesters: Semester 1 3 Semester 2 Semester 3 4 Semester 4 Semester 5 Semester 6

Subject Folders

Subjects in Semester 6

Select any subject folder below to explore its complete syllabus, notes, textbooks, and resources.

7 Subjects Available

BCA 6001T / BCA 6001P

Generative AI

Course Type: CC-XIII (Core Course with Practical). Covers LLMs, GANs, VAEs, diffusion models, prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation), and ethical AI deployment.

4.0 Credits Syllabus Ready

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BCA 6002T / BCA 6002P

Deep Learning for Computer Vision

Course Type: DSEC-XIII (Group-A Elective – VI with Practical). Covers CNN architectures (ResNet, VGG, YOLO), image classification, object detection, semantic segmentation, and vision transformers.

5.0 Credits Syllabus Ready

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BCA 6003T / BCA 6003P

Course Type: DSEC-XIV (Group-A Elective – VII with Practical). Covers predictive regression models, scoring algorithms, churn prediction, recommendation systems, and business intelligence predictive modeling.

5.0 Credits Syllabus Ready

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BCA 6004T / BCA 6004P

Big Data Analytics

Course Type: DSEC-XV (Group-B Elective – VI with Practical). Covers Hadoop ecosystem, MapReduce, Apache Spark, HDFS, Hive, stream processing, distributed computing, and big data architecture.

5.0 Credits Syllabus Ready

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BCA 6005T / BCA 6005P

Exploratory Data Analysis

Course Type: DSEC-XVI (Group-B Elective – VII with Practical). Covers data profiling, univariate & multivariate analysis, anomaly detection, statistical hypothesis testing, and automated EDA tools.

5.0 Credits Syllabus Ready

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BCA 6006R

Major Project

Course Type: SEC-VIII (Major Capstone Project). Comprehensive capstone development, system implementation, integration, testing, documentation, final viva voce, and deployment.

4.0 Credits Syllabus Ready

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BCA 6007P

Soft Skills

Course Type: AEC-II (Ability Enhancement Course Practical). Covers corporate communication, interview preparation, group discussions, resume building, presentation skills, and professional ethics.

1.0 Credits Syllabus Ready

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Semester 6 Overview

Final semester curriculum covering Generative AI, Computer Vision, Predictive Analytics, Big Data, Exploratory Data Analysis, Major Project, and Soft Skills.