This experience is designed for learners in the CS6004 Application Development module, where they will apply their comprehensive programming knowledge and skills to real-world software development projects. Learners are equipped with the ability to utilize contemporary development platforms, C# programming language, and tools to create significant software applications. By collaborating with industry professionals, learners will tackle realistic application development challenges, focusing on risk assessment and security, to deliver robust and efficient software solutions. We are inviting organizations to collaborate with students during the Fall 2025 and Winter 2026 terms. In Fall 2025, students will create a software development plan ( CS6003 ), while the students in Winter 2026 will focus on implementation.

The Charities and Social Enterprise Clinic (CSEC) builds on London Metropolitan University’s long-standing connection with London’s Voluntary, Community and Social Enterprise (VCSE) sector. Through the CSEC, charities and social enterprises can connect with our students, who are engaged across a wide range of applied modules, including community development, digital communications, business administration, media production, technology, and teaching support. Always keen to gain experience and make an impact, our hard-working, connected, and informed students (supervised by London Met academic tutors) can help you develop your organisation while gaining professional skills. Areas of practice covered by placements include: Digital Media Web design/development Social Media Media production (film/video, documentary, journalism) Digital communications & and Strategy Community development & engagement Data science and analytics

These Health and Social Care students are in their 2nd year of undergraduate study, bringing a strong mix of academic knowledge and practical experience. They have developed skills in research, public health, and human sciences, with exposure to labs, live research, and ethical decision-making. Many also have hands-on experience as care assistants, nurses, or in residential care settings, alongside transferable skills gained through retail and customer-facing roles. What they offer to companies: Research and data analysis to support evidence-based decision making Insights in public health, social care, and community engagement Contributions to projects focused on diversity, equity, and inclusion Support in applied healthcare settings, from health promotion to patient care pathways A developing professional skill set, with enthusiasm, adaptability, and commitment to teamwork Employers can expect learners who are motivated, adaptable, and ready to apply their 2nd-year university learning in practical settings to deliver meaningful outcomes. Course Module: Here

This module equips students with the skills to analyse large datasets and develop machine learning (ML) models for predictive analytics. Students are able to use both classical ML and deep learning models, and explore a variety of data-related challenges you may be facing. Master's level students in groups of 2-3 will analyse your company data set(s), perform exploratory data analysis (EDA), feature engineering and other techniques to build a model, evaluate its performance, make refinements and communicate the business-related findings to you in a short presentation. While we make every effort to align student interests with your project needs, we cannot guarantee project selection. Final confirmation of participating students will be provided by the last week of October or first week of November.