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Bachelor of Science+Master of Science in Computer Science (BSc+MSc Computer Science)

Bachelor of Science+Master of Science in Computer Science Syllabus

For an Integrated BSc + MSc in Computer Science, the syllabus typically combines both undergraduate and postgraduate course structures into a continuous five-year program. Here’s a year-wise syllabus overview:

YearSubjectDescription
Year 1Fundamentals of Programming (C, C++)Introduction to basic programming concepts and techniques using C and C++.
Mathematics for Computer ScienceMathematical concepts such as logic, set theory, and calculus applied in computer science.
Computer Organization and ArchitectureStudy of computer hardware, including the CPU, memory hierarchy, and input/output systems.
Environmental ScienceBasics of environmental science, sustainability, and its relevance to computing.
English and Communication SkillsDevelopment of effective communication skills, focusing on writing, speaking, and presenting.
Year 2Object-Oriented Programming (Java/Python)In-depth study of OOP principles such as inheritance, polymorphism, and abstraction using Java/Python.
Data Structures and AlgorithmsStudy of efficient data storage techniques (e.g., linked lists, trees, graphs) and algorithm design.
Discrete MathematicsStudy of mathematical structures and concepts like graph theory, logic, and combinatorics used in computer science.
Operating SystemsIntroduction to operating system concepts such as memory management, process scheduling, and file systems.
Web Development & HTML/CSSBasic web development skills, including HTML for structure and CSS for styling web pages.
Year 3Database Management Systems (DBMS)Introduction to relational database design, SQL, and management systems like MySQL or PostgreSQL.
Computer NetworksStudy of networking concepts, including TCP/IP, network layers, and network security.
Software Engineering PrinciplesPrinciples of software development including requirements analysis, design, and testing methodologies.
Mobile App DevelopmentDevelopment of mobile applications for Android and iOS, focusing on programming and UI/UX design.
Elective (e.g., Computer Graphics or AI basics)Introduction to either computer graphics or the fundamentals of artificial intelligence.
Year 4Advanced Programming ConceptsStudy of advanced programming techniques, including memory management, concurrency, and performance optimization.
Machine Learning and Artificial IntelligenceOverview of machine learning algorithms, neural networks, and AI applications.
Software Development Life CycleIn-depth study of the software development process from design to deployment, focusing on methodologies like Agile.
Cyber SecurityBasics of protecting networks, systems, and data, including ethical hacking and encryption techniques.
Research MethodologyIntroduction to research techniques used in computer science, including experimental design and data analysis.
Year 5Data Science and Big Data AnalyticsTechniques for handling large-scale data, including statistical analysis, data mining, and predictive modeling.
Cloud Computing & VirtualizationStudy of cloud technologies such as AWS, Azure, and cloud virtualization platforms.
Distributed SystemsStudy of distributed computing concepts, including synchronization, fault tolerance, and cloud-based applications.
Blockchain TechnologyIntroduction to blockchain architecture, smart contracts, and their applications in areas like finance and supply chain.
Project/DissertationPractical implementation of knowledge in a final project or dissertation, typically involving research or industry collaboration.

This BSc+MSc Computer Science syllabus spans five years, providing a comprehensive education in computer science, including fundamental programming, networking, security, machine learning, and data science. The final year focuses on advanced topics and research, preparing students for both professional careers and postgraduate study.