Computer Science & Intelligent Systems

A deeper understanding.
A practical direction.

Move from programming and mathematical reasoning to scalable software, responsible artificial intelligence and the design of useful digital products. Studios and team projects connect theory with the choices engineers make in practice.

What you will learn

• Design, implement and test reliable software using contemporary development practices.
• Evaluate algorithms, data structures and the limitations of intelligent systems.
• Build accessible applications with privacy and security in mind.
• Explain technical decisions clearly to specialist and non-specialist audiences.

Your learning journey

The indicative curriculum builds from core understanding to independent work. Select a stage to explore its subjects.

PIEM in your programme

An industry-connected challenge

Develop an accessible digital service for a community organisation, from user research and prototypes to testing and deployment.

Software & Intelligent Systems Studio

A supervised studio delivering prototypes, digital services and software audits. Students work in defined roles, document decisions and evaluate the usability of their work.

Partner ecosystem

The programme’s partnership network is designed to include:

• Software and cloud companies
• Digital public-service organisations
• Cybersecurity practitioners
• Technology-enabled SMEs

Partner involvement can include project briefs, expert critique, practice insights and mentoring. Specific organisations and opportunities are confirmed for each cohort.

Where your learning can lead

• Software development
• AI application engineering
• Product technology
• Technical consulting

These are potential areas of work, not guaranteed outcomes. Career development combines academic learning, demonstrable project work and individual professional preparation.

Plan your study.

Use these details to compare your options. Confirm the approved specification before making a commitment.

Next intake

Intake dates to be confirmed

Fees & funding

Fee schedule awaiting approval. Explore cost planning.

Study commitment

Full-time pattern; weekly workload to be confirmed. Allow time for taught sessions, independent work, group projects and assessment.

Practical requirements

Scheduled practical attendance; locations and frequency to be confirmed before enrolment.

Your support

Academic feedback, study guidance and accessibility support arrangements to be confirmed for the cohort. Explore support.

Entry, delivery & funding

Entry expectations

A secondary-school leaving qualification that supports entry to higher education, with a strong foundation in mathematics. Equivalent qualifications and prior learning are reviewed individually.

Applicants whose previous education was not in English may need to demonstrate readiness to study in English. Country equivalence, evidence and any additional requirements are reviewed individually.

How you will study

Blended study combines digital learning with scheduled workshops, practical activity and supported collaboration. Practical locations and attendance requirements are confirmed before enrolment.

Assessment

Assessment may include analytical assignments, project work, presentations, practical demonstrations and an independent capstone. Clear criteria and feedback support your progress.