MSc Computing for Business (Taught)

Key course features:

Have opportunities to engage with emerging technologies and develop adaptable, future-ready skills.
Strengthen professional awareness, including ethics, communication and responsible tech use.
Analyse the impact of technology on society.
Access specialist computing facilities, including dedicated labs and professional-grade software.
Foster lifelong learning and professional development.

The MSc Computing for Business develops the technical, analytical, and strategic skills needed to lead in technology-driven organisations. The programme blends advanced computing knowledge with business insight, preparing students to solve complex challenges, manage digital innovation, and drive organisational success.

The research methods module underpins academic and professional development, enabling you to plan and deliver independent research that contributes to the advancement of digital technologies. Through database systems and data analytics, you will learn to manage and interrogate large datasets, transforming raw data into actionable business intelligence.

You will explore how technology is transforming financial services, gaining an understanding of the FinTech ecosystem and the tools that support innovation, regulation, and security in digital finance. You will develop advanced project management skills, learning to plan, execute, and evaluate IT and business initiatives while managing risk, change, and governance in dynamic environments.

In artificial intelligence, you will master algorithms, machine learning techniques, and the ethical implications of AI, applying these to real-world business problems. The secure computing component builds expertise in identifying vulnerabilities, applying cryptography, and implementing robust security measures across digital systems.

Dissertation enables you to demonstrate mastery in their chosen area through independent, research-led study. By applying the knowledge and technical skills gained throughout the programme, you conduct in-depth investigations that showcase your ability to deliver innovative, evidence based solutions in computing for business.

Graduates emerge as highly skilled, adaptable professionals, capable of integrating computing innovation with business strategy, leading digital transformation, and shaping the future of technology driven enterprises.

You will study 6 core modules of 20 credits each, followed by a 60 credit dissertation, making a total of 180 credits.

Research Methods for Digital Technologies
Database systems and Data Analytics
FinTech
Project Management for IT & Business
Artificial Intelligence
Secure Computing
Dissertation Project

You will study 6 core modules of 20 credits each, followed by a 60 credit dissertation, making a total of 180 credits.

Research Methods for Digital Technologies
Database systems and Data Analytics
FinTech
Project Management for IT & Business
Artificial Intelligence
Secure Computing
Dissertation Project

Teaching
The computing programme suite leverages cutting-edge industry tools and software, paired with innovative teaching methods, to equip students with industry-relevant skills and empower them to excel. Staff fully embrace the Active Learning Framework (ALF), enhancing the teaching and learning experience through diverse, dynamic methods.

The programme integrates core project modules simulating cross-disciplinary industry practices with subject-specific modules, offering theoretical and practical expertise. Students engage in active learning sessions, industry talks, workshops, and practical exercises while exploring emerging technologies and industry best practices.

Delivered on Wrexham campus, the programme features specialist labs, a Cyber Innovation Academy with internationally recognized certifications, and general-purpose computing facilities. Most undergraduate modules, apart from the 40-credit final-year project, are 20 credits. Each 20-credit module requires 200 hours of learning, consisting of a small proportion of timetabled sessions, including lectures, labs, workshops, and tutorials, alongside a significant proportion of guided independent study. Staff operate an Open-Door policy, providing flexible support beyond scheduled hours.

Assessment
Aligned with the Active Learning Framework (ALF), the programmes employ innovative, context-driven assessment strategies that integrate portfolio-building exercises to enhance student achievement and employability. Cloud-based systems track and manage student progress in projects, ensuring transparency in group work and simulating an industry environment to deepen professional awareness.

Assessments focus on mastery of skills and knowledge, adopting a tailored approach supported by formative activities such as self-reflection, peer assessments, and targeted feedback. For coursework and portfolio-based modules, milestone reviews provide personalised feedback, keeping students on track to meet learning outcomes and deliverables.

Modules with embedded industry certifications include preparatory coursework submissions for feedback, ensuring readiness for final assessments. These assessments align with certification requirements and may involve remote proctored in-class evaluations, bridging academic and industry standards to strengthen student employability.

Assessments encompass a diverse range of methods, including:

Coursework and Projects: Assignments and projects provide hands-on experience, allowing students to apply theoretical knowledge to real-world scenarios. This may include software development projects, research papers, or problem-solving tasks. 
Coding Assignments: Practical coding assignments assess students' programming skills, logical reasoning, and ability to develop efficient and effective code. 
Group Projects: Collaborative projects evaluate teamwork, communication, and the ability to work in diverse teams, reflecting the collaborative nature of the tech industry. 
Presentations: Students may be required to present their findings, solutions, or project outcomes, enhancing their communication and presentation skills. 
Laboratory Work: Practical sessions in computer labs assess students' ability to apply concepts, troubleshoot issues, and work with various tools and technologies. 
Problem-solving Exercises: These exercises challenge students to solve complex problems, encouraging critical thinking and analytical skills. 
Reports and Documentation: Writing reports or documenting project processes assesses students' ability to communicate technical information clearly and concisely. 
Teaching and Learning

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

• Course does not award QTS