MSc Computer Science (conversion)

This module introduces objectives and importance of research in Computer Science, systematic literature review, problem statement and hypothesis formulation, experiment design, identifying types of variables and data wrangling, sampling techniques, quantitative and qualitative research, mixed methods of research, data imputation, types of statistical tests and evaluation measures. The module also discusses ethical constraints, intellectual property rights and legal requirements. The students are expected to conduct data analyses and present reports in a variety of formats and visualizations.

This module develops the essential knowledge and practical skills of tools and techniques used to create content accessed across a variety of mobile, tablet and desktop devices using web technologies and services. The module introduces underpinnings of web architecture to cutting-edge techniques in styling and database management. The curriculum is meticulously crafted to equip students with a comprehensive skill set, enabling them to develop websites that are not just functional, but also visually captivating and user-centric. Additionally, the module serves as a deep dive into indispensable backend technologies to address the immediate needs of the industry.

This module develops the essential computer programming and professional software development skills based on current industry demands and career aspirations. The contents are meticulously designed, assuming no previous programming experience, to equip Computer Science students with imperative knowledge and critical insights into the process of interpreting and requirements into practical solutions and forming synergies with all the other modules of programme.

Having studied core Computer Science topics, students have the opportunity to apply a range of conceptual knowledge and practical implementation tools to an in-depth development of a real-world project of their particular interest. The aim is to develop the skills expected at postgraduate level and equip Computer Science students with imperative knowledge, research & analysis skills, application of software development life cycle and critical insights into the process of transforming user requirements into practical software solutions.

This module introduces objectives and importance of research in Computer Science, systematic literature review, problem statement and hypothesis formulation, experiment design, identifying types of variables and data wrangling, sampling techniques, quantitative and qualitative research, mixed methods of research, data imputation, types of statistical tests and evaluation measures. The module also discusses ethical constraints, intellectual property rights and legal requirements. The students are expected to conduct data analyses and present reports in a variety of formats and visualizations.

Having studied core Computer Science topics, students have the opportunity to apply a range of conceptual knowledge and practical implementation tools to an in-depth development of a real-world project of their particular interest. The aim is to develop the skills expected at postgraduate level and equip Computer Science students with imperative knowledge, research & analysis skills, application of software development life cycle and critical insights into the process of transforming user requirements into practical software solutions.

Having studied core Computer Science topics, students have the opportunity to apply a range of conceptual knowledge and practical implementation tools to an in-depth development of a real-world project of their particular interest. The aim is to develop the skills expected at postgraduate level and equip Computer Science students with imperative knowledge, research & analysis skills, application of software development life cycle and critical insights into the process of transforming user requirements into practical software solutions.

Having studied core Computer Science topics, students have the opportunity to apply a range of conceptual knowledge and practical implementation tools to an in-depth development of a real-world project of their particular interest. The aim is to develop the skills expected at postgraduate level and equip Computer Science students with imperative knowledge, research & analysis skills, application of software development life cycle and critical insights into the process of transforming user requirements into practical software solutions.

This module develops the essential knowledge and practical skills of tools and techniques used to create content accessed across a variety of mobile, tablet and desktop devices using web technologies and services. The module introduces underpinnings of web architecture to cutting-edge techniques in styling and database management. The curriculum is meticulously crafted to equip students with a comprehensive skill set, enabling them to develop websites that are not just functional, but also visually captivating and user-centric. Additionally, the module serves as a deep dive into indispensable backend technologies to address the immediate needs of the industry.

This module develops the essential computer programming and professional software development skills based on current industry demands and career aspirations. The contents are meticulously designed, assuming no previous programming experience, to equip Computer Science students with imperative knowledge and critical insights into the process of interpreting and requirements into practical solutions and forming synergies with all the other modules of programme.

This module develops the theoretical foundation and practical skills of artificial intelligence (AI) and data science (DS) and their applicability in real-world scenarios. Building upon the statistical and mathematical underpinnings, this module aims to teach students the established approaches, emerging trends and challenges in classification, regression and clustering tasks. A variety of machine learning approaches used in AI and DS applications are introduced and Python programming language (with open-source libraries) is suggested for developing practical solutions.

This module develops the essential knowledge and skills of database design and development. A comprehensive understanding of theoretical and practical aspects of the information systems, evolution of databases, data models, entity relationship diagram (ERD), data model, mapping ERD to relational model, Functional dependencies and Normalisation, data storage and retrieval techniques, structure of relational databases, conceptual, logical and physical database schemas, architecture of database systems, CRUD operations, transaction management, grouping and aggregation, concurrency control, database backup and recovery, indexes, connectivity with programming languages (Python) and structured query language (SQL) will enable students to develop a deep and critical insight into state-of-the-art database technologies.

This module entails the theoretical knowledge and practical skills of wired and wireless computer networks, Internet of Things and cyber security. Designed to introduce advanced communication concepts to both networking experts and non-experts, the module aims to enable students to design, develop, implement and secure networked systems.

This module develops the essential knowledge and skills of database design and development. A comprehensive understanding of theoretical and practical aspects of the information systems, evolution of databases, data models, entity relationship diagram (ERD), data model, mapping ERD to relational model, Functional dependencies and Normalisation, data storage and retrieval techniques, structure of relational databases, conceptual, logical and physical database schemas, architecture of database systems, CRUD operations, transaction management, grouping and aggregation, concurrency control, database backup and recovery, indexes, connectivity with programming languages (Python) and structured query language (SQL) will enable students to develop a deep and critical insight into state-of-the-art database technologies.

This module develops the theoretical foundation and practical skills of artificial intelligence (AI) and data science (DS) and their applicability in real-world scenarios. Building upon the statistical and mathematical underpinnings, this module aims to teach students the established approaches, emerging trends and challenges in classification, regression and clustering tasks. A variety of machine learning approaches used in AI and DS applications are introduced and Python programming language (with open-source libraries) is suggested for developing practical solutions.

This module entails the theoretical knowledge and practical skills of wired and wireless computer networks, Internet of Things and cyber security. Designed to introduce advanced communication concepts to both networking experts and non-experts, the module aims to enable students to design, develop, implement and secure networked systems.