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Computer Science Foundations
Computational thinking, algorithms, programming and core computer science concepts.
Search programming, databases, AI, cybersecurity, software engineering, analytics and digital HR.
Explore computer science through a Human Resources lens. Study programming, software engineering, databases, artificial intelligence, cybersecurity, cloud computing, data analytics, information systems and digital HR.
Connect computing knowledge with workforce management, organisational systems and digital employee experiences.
Programming, algorithms, software engineering, operating systems and computational thinking.
Build structured data systems for workforce, organisational and business information.
Apply technology to recruitment, workforce planning, employee experience and people management.
Design digital HR platforms, automation, analytics and AI-supported HR systems.
The programme connects people and organisational questions with computational design, data and technology.
People & business needs.
Algorithms & workflows.
Software & applications.
Databases & information.
Cybersecurity & privacy.
AI & digital strategy.
Learn how computing infrastructure and software can support workforce operations and organisational decision-making.
Build applications and automation using programming concepts, algorithms and software development.
Analyse requirements, design systems, test software and develop maintainable digital solutions.
Design relational databases and manage structured employee and organisational information.
Explore cloud platforms, scalable applications, storage and software-as-a-service systems.
Explore machine learning, natural language processing and responsible AI applications in HR.
Protect employee information through identity, access control, security and privacy practices.
Create browser-based HR platforms, dashboards, communication tools and employee services.
Connect applications, APIs, databases and enterprise systems into digital workflows.
Computer science enables HR teams to build connected, accessible and data-driven workforce systems.
Use simple computational models to understand workforce and digital-system measurements.
Availability = (Total Time − Downtime) ÷ Total Time × 100
Enter numerical workforce observations separated by commas.
Applications, programming, web development and software engineering.
Databases, SQL, analytics, information management and data quality.
Identity, authentication, access control, privacy and cyber risk.
Machine learning, NLP, automation and responsible AI-supported HR.
Combine data structures, analytics and HR knowledge to create evidence-informed workforce insights.
Use AI as a technology component within a broader human-reviewed HR system.
Example: employees are experiencing slow access to HR services.
Explore the core academic subjects and applied HR technology courses.
Computational thinking, algorithms, programming and core computer science concepts.
People management, organisational behaviour, workforce planning and HR strategy.
Programming principles, application development, testing and software design.
Relational databases, SQL, data modelling and information management.
Analyse workforce data and develop evidence-informed HR insights.
Build web-based HR platforms using frontend, backend and application concepts.
Cloud infrastructure, platforms, storage, scalability and digital HR services.
Security, privacy, authentication, access control and protection of workforce information.
Explore machine learning, NLP, automation and responsible AI applications in HR.
Dashboards, reporting, descriptive analytics and workforce intelligence.
Design technology-enabled HR transformation and digital employee experiences.
Develop and evaluate a computer-based solution for an HR or workforce problem.
Applied research connects HR questions with computing, data and system development.
Define the HR or organisational problem.
Identify users and functional requirements.
Design software, data and security architecture.
Create a prototype, system or dashboard.
Test usability, reliability, security and accuracy.
Present findings and implementation implications.
Potential professional directions combine computing, HR, analytics and digital transformation.