BSc (Hons) Graduate Apprenticeship AI and Data Science at Glasgow Caledonian University

Programme overview

The BSc (Hons) AI and Data Science Graduate Apprenticeship equips employees with skills to develop data science and artificial intelligence solutions to real-world problems such as climate change, financial services and sustainable development. It teaches students to manage, explore, analyse and visualise image, text and numerical data, with an extended focus on data analysis, probability and statistics, maths for data science, and data protection and ethics. Apprentices must be resident and working in Scotland, and the programme is designed for employees in roles such as data scientist, machine learning engineer, data analyst and software developer.

Duration: 4 years blended learning | Intake: September 2027 | Study mode: blended learning (graduate apprenticeship) | Location: Glasgow, Scotland, United Kingdom

What you will study

Technical skills include software development and machine learning, applied to areas such as autonomous vehicles, financial decision making, health diagnosis and robotics, alongside creative problem-solving for societal and environmental challenges.

Career pathways

The course targets career paths including Data Scientist, Machine Learning Engineer, Machine Learning Scientist, Applications Architect, Data Architect, Infrastructure Architect, Data Engineer, Data Analyst, Software Developer and Cloud Engineer.

Official programme page

Application information

Entry requirements

Applicants must be in full-time employment in Scotland in a role commensurate with the programme, with employer support and a supporting letter from the employer. Direct from school: UCAS Tariff 96; Scottish Higher BBCC or equivalent including Higher in Maths or Computing. Selected Foundation Apprenticeships count as equivalent to a B at Higher; a completed SCQF level 6 Modern Apprenticeship in a relevant discipline is equivalent to two Highers at B. Recognition of Prior Learning may allow advanced entry.

Intake: September 2027

Duration: 4 years blended learning

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