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Why IT at Hull

The university’s technology programs rank third nationally for games and animation, while its student support sits at twelfth—achievements that reflect substantial investment in industry-grade equipment like the Virtuix Omni VR treadmill, DJI drones, and humanoid robots such as Pepper and Nao. This infrastructure centers on hands-on work: the Turing Lab features powerful graphics and AI stations, robotics labs house mobile units, and the HIVE immersive cube with its VR theatre and gigapixel walls lets students test solutions under near-industrial conditions. Accreditation from the British Computer Society pairs with partnerships at BT, BAE Systems, Microsoft, and IBM to provide paid placements that form an integral part of degrees.

Computer Science at University of Hull

The BSc (Hons) / MEng Computer Science program builds from core competencies in logic, programming, and computing before branching into specializations like advanced programming, computer vision, or mixed reality development. Students work on high-performance stations with access to 3D printers, robots, motion capture systems, and AR/VR/MR devices, while connections to EA, Sony, and Black Marble bring regular industry lectures. Participation in the Microsoft Imagine Cup or events like Three Thing Game tests these skills practically, and a year-long paid placement strengthens graduates’ appeal to tech sector employers.

Game Design

The BA (Hons) Game Design course draws on faculty with BAFTA-recognized projects and European development leadership. Students develop expertise in game design, art direction, audio, and narrative while using virtual labs and Adobe-equipped studios for 2D graphics and multimedia work. A year-long industry placement—ranging from independent studios to multinational companies—builds professional portfolios, while the university’s gaming connections provide access to jams and Game Republic’s Student Showcase, where final projects reach potential employers and deliver experience across VR, AR, and MR in both public and private sectors.

Software Engineering

The BSc (Hons) / MEng Software Engineering program emphasizes methods for creating secure, reliable software—from everyday applications to autonomous vehicles. After studying agile development, test-driven design, and DevOps, students execute substantial individual projects like wind farm simulations, self-driving car models, or local event-finding apps. A paid year-long placement integrates workplace experience into the curriculum, while access to high-performance stations, robots, 3D printers, and the immersive cube with motion capture and MR combines with international competitions and contacts at EA, Sony, and Black Marble.

Advanced Computer Science

The MSc Advanced Computer Science program deepens technical abilities and specialized knowledge for a rapidly evolving industry. Students explore computational concepts, programming techniques, and foundational theories while designing applications and building actual software in labs equipped with Visual Studio Enterprise Edition. Practical workshops in coding and problem-solving complement module choices spanning artificial intelligence, mixed reality, real-time graphics, web systems, and robotics, while connections to IBM, Microsoft, and Jaguar Land Rover surface through Rather Useful Seminar sessions. Hackathons, Global Game Jam, and the UK and Ireland Programming Competition extend skills beyond classrooms.

AI for Geospatial Analysis

This conversion MSc in Artificial Intelligence for Geospatial Data Analysis requires no scientific background and addresses acute skills shortages in the sector. It covers programming, statistics, machine learning, data visualization, computer vision, and ethical-legal aspects of data work, alongside geoinformatics fundamentals, Earth remote sensing, and spatio-temporal big data analysis. In the third semester, students either select or design research projects aligned with career goals, sometimes working with industry partners. These skills form portfolios that open paths into data science—a field where AI automation transforms environmental monitoring, urban planning, and resource management approaches.

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