You reflect on your motivation, strengths, and interests in relation to the professional field of IT through the realisation of a personal development resource within the context of higher education.

You apply fundamental programming concepts such as variables and control structures to realise simple software programs that demonstrate industry standards for good quality.

You define and describe fundamental concepts of computer science.

You apply fundamental object-oriented programming principles, such as abstraction, inheritance, and polymorphism to realise simple software solutions that demonstrate industry standards for good quality.

You define and describe fundamental project management processes, concepts, and methodologies, including teamwork principles, as applied to industry-standard IT projects.

You apply an iterative development methodology, collaborating in a team, to design, realise, and evaluate a simple software solution that meets a prescribed specification and demonstrates industry standards for good quality.

You define and use fundamental requirements modelling techniques used to analyse and document system requirements clearly and effectively using industry best practices.

You define and apply fundamental software engineering principles, architectures, design patterns, and methodologies used to anlyse, design, and realise software systems using well-documented practices.

You define and apply foundational data modeling and preparation techniques to design relational structures and resolve data quality issues, to ensure data is fit for purpose in both software engineering and basic data analysis.

You integrate software engineering and data science principles and techniques to design and realise a robust, maintainable, and user-oriented web application, given a prescribed specification.

You define and apply fundamental data science principles and methodologies to understand, transform, and visualise data, to build and evaluate simple predictive models using approopriate techniques.

You collaborate in a team using an iterative development methodology to apply basic requirements modelling, software engineering, and data science techniques to analyse, design, realise, and evaluate a simple software solution that demonstrates industry standards for good quality.

You can design, implement, and deploy a cloud-native application, given a given a major cloud provider (AWS, Azure, or GCP), such that the application demonstrates correct scaling behaviour and justifies key trade-offs in availability and cost.

You translate business needs into concrete software requirements by analysing stakeholders, evaluating business models, and defining a clear value proposition that guides development decisions.

You design and build a responsible AI-powered application by integrating modern AI models and services, evaluating their performance using appropriate metrics, and applying knowledge of AI architectures to make informed development decisions.

You apply foundational data science skills to a practical problem by using statistical and mathematical concepts, building basic predictive models, and translating a business question into a structured analysis using appropriate programming tools.

You explain basic information security concepts, including indicators of compromise (IoC), given a description of a security incident or system log data, such that you can correctly identify the type of threat actor involved and recommend appropriate cryptographic controls to mitigate the risk.

You identify and resolve performance bottlenecks in software by analysing code complexity, applying profiling techniques, and using code analysis to deliver measurable optimisations.

You build and optimise predictive models for real-world problems by selecting, training, and evaluating appropriate models, tuning their performance, and critically interpreting the results in a relevant business context.

You manage an iterative project process, collaborating in a team, to analyse a real client's problem, design and realise a professional-quality solution that incorporates your specialisation, deploy and maintain it using an automated delivery process, and evaluate and advise on the result, demonstrating professional standards throughout.

You set up and maintain an automated software delivery environment by building CI/CD pipelines, containerising applications, and implementing monitoring to ensure reliable and efficient operations.

You design and realise a full stack web application by developing a functional front-end, back-end, and database, and integrating them into a coherent and working system.

You are able to design and implement reliable data pipelines by cleaning and transforming raw data, automating data processing, and deploying models into production following industry-standard practices

You design and validate a user-centred interface by applying UX principles, conducting user research, creating prototypes, and substantiating design decisions based on usability test results.

You deliver a professional data product for a stakeholder by implementing advanced models for specialised domains such as forecasting, geo-spatial analysis, or NLP, supported by a well-designed data architecture.