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MSc Computer Science (conversion)

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MSc Computer Science (conversion)

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Discover how creativity, technical skill and ethical awareness can help you thrive in the digital world. The MSc Computer Science (Conversion) at Birmingham Newman University is designed to empower graduates from non-computing backgrounds to transition into the dynamic world of technology. Whether you are seeking a career change or expanding your professional toolkit, the course offers a clear and accessible route into computing. With a curriculum shaped by current industry needs, you will build a strong foundation in programming, software development, databases, web technologies, networks, artificial intelligence and data science.

Why Study This Course?

The MSc Computer Science (Conversion) at Birmingham Newman University offers an inclusive and empowering pathway into computing for graduates from non-technical backgrounds. Whether you are looking to change direction or enhance your career prospects, the course equips you with the technical knowledge, analytical skills and confidence to thrive in a fast-moving industry. Rooted in ethical practice and real-world relevance, the programme prepares you to respond to technological challenges with clarity and creativity.

TUTOR QUOTE

Explore the Realities of Computing in Practice.

You will engage with key areas such as programming, software development, databases, networks, artificial intelligence and data science. The course encourages you to think critically, apply problem-solving strategies and reflect on how technology shapes, and is shaped by, society. With a strong focus on applied learning, you will connect theory to practice and build the skills needed to work professionally across a range of computing roles. Each module is designed to support your transition into the field with confidence.

Supportive and Personalised Learning.

At Birmingham Newman University, you will be part of a collaborative and inclusive academic community that values your individuality and supports your growth. The course is taught by experienced lecturers and industry-informed practitioners who are passionate about computing and committed to your success. With small class sizes and regular feedback, you will be encouraged to explore your potential in a respectful and empowering environment. Whether you are writing your first line of code or preparing for your final dissertation, you will be supported every step of the way.

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UK Home students An honours degree of a British University of equivalent institution (minimum of 2.2) Consideration will be given to UK students with lower-level qualifications (e.g. a 3rd class degree or non-honours degree) who have a relevant range of professional experience. Professional experience will be considered by the programme leader in conjunction with the quality office. International Applicants An equivalent graduate level qualification from an overseas University of Equivalent institution (minimum 2.2). Secure English Language Test (SELT) equivalent to IELTS 6.5 with no component below 6.0.

The full-time course fee, for UK home students, for September 2025 is: £0

Additional Costs

The University will review tuition fees and increase fees in line with any inflationary uplift as determined by the UK Government, if permitted by law or government policy, in subsequent years of your course. It is anticipated that such increases would be linked to RPI (the Retail Price Index excluding mortgage interest payments).

Find out more about additional costs

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Research methods & project management
20 Credits (Compulsory)

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.

Web application development
20 Credits (Compulsory)

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.

Software development
20 Credits (Compulsory)

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.

Dissertation
60 Credits (Compulsory)

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.

Research methods & project management
20 Credits (Compulsory)

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.

Dissertation
60 Credits (Compulsory)

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.

Dissertation
60 Credits (Compulsory)

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.

Dissertation
60 Credits (Compulsory)

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.

Web application development
20 Credits (Compulsory)

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.

Software development
20 Credits (Compulsory)

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.

Ai & data science fundamentals
20 Credits (Compulsory)

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.

Database design and development
20 Credits (Compulsory)

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.

Fundamentals of networking and cybersecurity
20 Credits (Compulsory)

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.

Database design and development
20 Credits (Compulsory)

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.

Ai & data science fundamentals
20 Credits (Compulsory)

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.

Fundamentals of networking and cybersecurity
20 Credits (Compulsory)

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.

Our Careers team provides tailored advice, placements and workshops to help you build confidence and prepare for life after university.

Live, Learn & Belong at Birmingham Newman??

At Birmingham Newman University, you’ll enjoy the best of both worlds: a peaceful, green campus that creates the ideal setting for focused study and personal reflection, yet remains just eight miles from the vibrant city centre. As the UK’s second-largest city, Birmingham is also one of the youngest and most diverse in Europe, offering a dynamic blend of culture, innovation and opportunity. From world-renowned museums and music venues to a thriving food scene alongside a growing business and tech sector, it’s a place where creativity and ambition naturally thrive.?

Experience Birmingham: A City Full of Possibilities?

Whether you're discovering the Midlands for the first time or already know the area well, Birmingham provides a lively and inclusive environment for students. As one of the most energetic and multicultural cities in the UK, it’s a place where you can grow academically while developing personally. Its rich cultural heritage, creative energy and broad range of opportunities make it an inspiring backdrop for your university journey.?

A City That Loves Great Food?

Birmingham is a brilliant place to explore diverse culinary experiences. You might wander through the famous Balti Triangle, sample global street food at Digbeth Dining Club or enjoy a relaxed meal by the canals in Brindleyplace. The city is also home to independent cafés, vegan-friendly eateries and countless hidden gems. Whether you're grabbing a quick bite between lectures or planning an evening out, there’s always something new to discover.?

Arts, Culture and Entertainment?

The city pulses with creativity. You could catch live music at the O2 Academy, experience a world-class performance at the Birmingham Hippodrome or browse exhibitions at the Birmingham Museum and Art Gallery. Creative spaces like the Custard Factory showcase local talent while hosting events that celebrate innovation. With festivals, sporting fixtures and cultural celebrations taking place year-round, there’s never a shortage of things to enjoy.?

Simple & Convenient Travel?

Getting around Birmingham is straightforward thanks to its well-connected public transport system. Buses, trams and trains make it easy to reach campus, explore the city or travel further afield. Whether you're commuting daily or heading off for a weekend adventure, transport is both accessible and affordable.?

Life Beyond the Lecture Hall?

Your time at Birmingham Newman University extends far beyond academic study. You’ll have the chance to join student societies, contribute to community projects or try something entirely new. The university’s supportive atmosphere encourages you to build confidence, develop practical skills and feel genuinely at home throughout your studies.

Where This Course Can Take You. Graduates of this programme are well prepared to pursue careers in software engineering, data analysis, cybersecurity, systems architecture and beyond. The course also provides a strong foundation for further academic research, including progression to PhD-level study. With its focus on ethical practice, applied learning and technical confidence, the MSc Computer Science (Conversion) equips you to contribute meaningfully to the tech sector. You will graduate with the ability to lead, innovate and make a positive impact in a rapidly evolving digital landscape.

Accreditations and Exemptions

The MSc Computer Science (Conversion) is grounded in the values of ethical practice, technical rigour and applied learning. While it is not formally accredited by a professional computing body, the course has been developed in line with current academic and industry standards. It introduces you to the expectations and responsibilities of computing professionals and provides a strong foundation for further training or certification. Many students go on to work in software development, cybersecurity, data analysis and IT consultancy, or continue into postgraduate research. The skills and insight you gain can also support your development in roles involving innovation, digital strategy and systems design across a wide range of sectors.

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