Turn ideas into software people depend on.

Start programming and develop the structured techniques used to solve computational problems.

Apply algebra, discrete mathematics and other core concepts to computing and technology problems.

Plan and deliver technology work collaboratively while building effective team practices.

Explore the hardware, software and workflows connecting computing with modern audio-visual media.

Learn the essentials of hardware, software, operating systems, networks and cyber security.

Investigate a computer-science topic and communicate your work through a report, prototype or practical build.

Research user and business needs, then apply qualitative and quantitative methods to digital-product design.

Use network simulation to understand devices, protocols, models and essential security principles.

Turn structured problem-solving into working software through regular programming practice.

Design relational databases and create programs that store, retrieve and work with data.

Collect, clean, analyse and visualise data using databases, statistics and introductory data-mining methods.

Build and deploy standards-aware websites while considering accessibility, ethics and professional practice.

Evaluate enterprise database challenges across advanced relational, object-relational and NoSQL systems.

Design maintainable object-oriented applications and explore web services, cloud delivery and SaaS.

Model business problems and use analytical tools to support forecasting, risk and decision-making.

Plan a focused research project, evaluate evidence and communicate a coherent technical argument.

Use cognitive and behavioural principles to design and critically improve usable digital interfaces.

Create web APIs and interactive clients while considering application security and complex front-end behaviour.

Build modern web applications and address the challenges of scale, maintenance and full product lifecycles.

Translate user and business needs into a researched, prototyped and tested digital product.

Explore machine learning, data mining and visualisation using technologies for large-scale analysis.

Respond to a real-world industry scenario and reflect on professional practice and future innovation.

Define and deliver an extended independent project through research, planning, technical work and reporting.