Built by PhD educators, this program aligns to standard university outcomes and arrives ready for LMS import. It is designed to complement textbooks and faculty led instruction.
Core Courses
CS-BCH-101 — Introduction to Computer Science
CS-BCH-102 — Fundamentals of Programming
CS-BCH-103 — Data Structures and Algorithms
CS-BCH-104 — Computer Networks
CS-BCH-105 — Database Management Systems
CS-BCH-106 — Operating Systems
CS-BCH-107 — Software Engineering
CS-BCH-108 — Web Development
CS-BCH-109 — Mobile Application Development
CS-BCH-110 — Computer Architecture
CS-BCH-111 — Artificial Intelligence
CS-BCH-112 — Machine Learning
CS-BCH-113 — Data Science and Analytics
CS-BCH-114 — Cloud Computing Fundamentals
CS-BCH-115 — Internet of Things (IoT)
CS-BCH-116 — Cybersecurity Fundamentals
CS-BCH-117 — Advanced Programming
CS-BCH-118 — Big Data Analytics
CS-BCH-119 — Human–Computer Interaction
CS-BCH-120 — Computer Vision
CS-BCH-121 — Natural Language Processing
CS-BCH-122 — Deep Learning
Specialization Tracks
Track A — Internet of Things (IoT)
CS-BCH-123 — Embedded Systems
CS-BCH-124 — IoT Networks and Protocols
CS-BCH-125 — IoT Data Analytics
Track B — Cybersecurity
CS-BCH-126 — Network Security
CS-BCH-127 — Ethical Hacking
CS-BCH-128 — Cryptography and Information Security
Track C — Data Science
CS-BCH-129 — Advanced Statistics for Data Science
CS-BCH-130 — Predictive Modeling
CS-BCH-131 — Data Visualization
CS-BCH-132 — Applied Data Science Projects
CS-BCH-133 — Business Intelligence
Track D — Artificial Intelligence
CS-BCH-134 — AI Ethics and Governance
CS-BCH-135 — Reinforcement Learning
CS-BCH-136 — AI Applications Development
Track E — Software Engineering
CS-BCH-137 — Software Project Management
CS-BCH-138 — Agile Development Methodologies
CS-BCH-139 — Software Testing and Quality Assurance
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