Course summary
Artificial Intelligence (AI) is at the forefront of digital transformation, shaping industries and redefining how we work, communicate, and solve complex problems. The BTEC Higher National in Digital Technologies (AI Solutions and Applications) is designed for individuals who want to develop technical expertise in AI driven solutions, preparing them for roles in software development, machine learning, data analytics, and intelligent system design.
This qualification offers a practical, industry aligned curriculum that combines core AI principles with hands on applications in intelligent systems, deep learning, and automation. By studying with us, you will gain the critical thinking and problem solving skills required to succeed in an AI driven job market.
Through practical assignments, real world projects, and engagement with industry tools, you will explore theoretical foundations of AI, learn how to deploy intelligent systems, and understand the ethical and societal implications of AI in modern technology landscapes.
Graduates of this programme will be well prepared for progression into AI-related roles, further study at university level (such as BSc in Artificial Intelligence or Computer Science), or professional certifications in AI and data science.
Take your place in the future of AI. Join a programme designed to equip you with the skills, knowledge, and confidence to innovate in the digital age.
Modules
Level 4 (Year 1)
Unit 1 – Professional Practice in the Digital Economy
This unit examines the impact of the Fourth Industrial Revolution on work environments, emphasising the importance of professional development, transferable and communication skills, problem-solving, and collaboration to enhance workplace competence and career success in the digital age.
Unit 2 – Innovation and Digital Transformation
This unit explores how businesses leverage digital transformation—integrating digital technology across operations to enhance innovation, agility, leadership, and customer experience—enabling them to adapt to market changes and maximise ROI.
Unit 3 – Cyber Security
This unit equips students with knowledge of cyber threats, vulnerabilities, and defence strategies, focusing on cybercrime, information assurance, and strategic responses to enhance cyber resilience and protect ICT infrastructure.
Unit 4 – Programming
This unit introduces core programming concepts, algorithms, and paradigms, enabling students to design and implement algorithms using an Integrated Development Environment (IDE) while developing critical thinking, analysis, and problem-solving skills essential for academic and professional success.
Unit 5 – Big Data & Visualisation
This unit explores big data and visualisation for decision-making, teaching students to use industry tools to analyse and present data, address ethical challenges, and develop skills essential for roles in the digital sector.
Unit 7 – Cloud Fundamentals
This unit introduces the fundamentals of cloud computing, including its architecture, deployment models, and services, equipping students with critical skills for understanding, managing, and leveraging cloud technologies in academic and professional contexts.
Unit 11 – Software Development Lifecycles
This unit teaches students the software development lifecycle, focusing on different models and methodologies to enable them to implement and manage projects effectively, while developing critical skills for professional and academic success.
Unit 15 – Fundamentals of Artificial Intelligence (AI) & Intelligent Systems
This unit introduces the science and applications of Artificial Intelligence (AI) and Intelligent Systems, exploring machine learning, ethical challenges, and real-world problem-solving while equipping students with the skills to evaluate and deploy AI technologies.
Assessment method
Projects, Report, Portfolio, Review, Reflection, Action Research.