Bachelor of Artificial Intelligence — Bachelor at London Online University

Bachelor of Artificial Intelligence


Course Overview

The Bachelor of Artificial Intelligence is a full online degree programme delivered entirely online through LOU's virtual learning environment, spanning 36 months of full-time study or a top-up route for holders of a UK Higher Diploma in AI or computing. The degree develops strategic thinking in machine learning system design, AI governance, and applied data science at the depth required for AI engineering, product management, and technology leadership roles at London academic standards.

By graduation, students are equipped with the theoretical foundation and applied technical capability to architect end-to-end AI solutions, lead machine learning engineering teams, navigate AI ethics and regulatory frameworks, and contribute to the strategic planning of AI investment within organisations. An online research component allows students to investigate an AI challenge in depth and produce an original technical or policy-oriented analysis. Every module is accessible via LOU's virtual learning environment, enabling technology professionals worldwide to study from anywhere in the world.

Key Features

  • Full undergraduate degree programme with a top-up route for UK Higher Diploma holders in AI or computing
  • Curriculum aligned with BCS (British Computer Society) and IEEE standards for AI and software systems
  • Strategic modules covering AI architecture, reinforcement learning, explainable AI, natural language processing, and AI product strategy
  • Live online lectures with recorded sessions available on demand across all time zones
  • Digital library access to AI research journals, conference proceedings, and technical standards publications
  • Virtual tutorial sessions for technical project review, algorithm troubleshooting, and dissertation guidance
  • Online dissertation or capstone research component focused on a chosen AI domain
  • Online career support including technical portfolio coaching and online interview preparation

What You Will Learn

  • Design scalable AI system architectures using cloud-native infrastructure and distributed computing frameworks
  • Apply reinforcement learning, generative AI, and transformer model architectures to applied engineering problems
  • Develop explainable AI (XAI) approaches to satisfy regulatory and stakeholder transparency requirements
  • Evaluate AI ethics, bias mitigation, fairness, and accountability frameworks in the context of regulatory compliance
  • Lead the AI product development lifecycle from ideation and data acquisition to model deployment and monitoring
  • Apply quantitative methods including statistical modelling, Bayesian inference, and probabilistic reasoning to AI systems
  • Research the strategic business context for AI investment and develop AI roadmaps aligned with organisational objectives
  • Communicate AI findings, system designs, and risk assessments to technical and non-technical stakeholders at degree level

Who This Course Is For

  • Technology professionals holding a UK Higher Diploma in Artificial Intelligence or a related computing qualification seeking full degree-level status
  • Software engineers, data scientists, and machine learning practitioners with A-Levels or equivalent seeking a strategic AI degree
  • AI product managers and digital transformation leaders aiming to formalise their technical and governance knowledge
  • Computing professionals who require flexible online study to complete a degree-level qualification alongside demanding technology careers
  • Learners aiming to study for an AI degree entirely online at London academic standards from anywhere in the world

Career Pathways

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Technology Consultant
  • Digital Transformation Manager
  • Chief Technology Officer
  • Information Systems Manager

LOU's online career support service provides virtual CV workshops, technical portfolio review, and online interview preparation to connect AI degree graduates with opportunities across the technology sector in the UK, Europe, and internationally.

Entry Requirements

  • A-Levels (BBC or above) or IB (26+ points) or equivalent overseas qualifications for direct entry
  • A completed UK Higher Diploma or Advanced Diploma in Artificial Intelligence, Computing, or a related technology field for top-up routes
  • IELTS 6.0 overall (no band under 5.5) or equivalent English proficiency for international applicants
  • Personal statement outlining online learning goals and career objectives in AI
  • Two academic or professional references

Why Study at LOU

LOU — London Online University — is an online-first division of Harold International College of London, making full degree-level AI education accessible to technology professionals worldwide without relocation. The Bachelor of Artificial Intelligence is delivered entirely through LOU's virtual learning environment, with live online lectures, recorded sessions available on demand, digital library access to leading AI research, and virtual tutorial sessions with AI practitioners and academics.

Aligned with BCS and IEEE standards, the programme ensures graduates develop AI expertise that is technically rigorous and professionally relevant. LOU's online career support service provides structured guidance from enrolment to graduation, and the degree leads directly into LOU's Master of Artificial Intelligence for those pursuing research-informed executive AI careers.

Apply for Bachelor of Artificial Intelligence

For technology professionals ready to achieve degree-level expertise in artificial intelligence and advance into AI engineering leadership, product strategy, and executive technology roles, the Bachelor of Artificial Intelligence at LOU provides the technical depth and strategic grounding your career demands. Apply for your LOU online Bachelor degree and study from anywhere in the world. Enrol Now

Frequently asked questions.

Common questions about Bachelor of Artificial Intelligence.

The Bachelor of Artificial Intelligence is delivered entirely online through LOU's virtual learning environment. Students attend live online lectures each week covering machine learning architectures, AI ethics, NLP, reinforcement learning, and AI product strategy, with all sessions recorded and available on demand. Virtual tutorial sessions, digital library access, and an online research component are all included in the programme.

Online learners on the Bachelor of Artificial Intelligence benefit from virtual tutorial sessions with AI academics and practitioners, technical project supervision, peer collaboration forums, and LOU's online career support service. Career support includes virtual CV coaching, technical portfolio review, and online interview preparation for AI engineering, data science, and technology leadership roles across the UK and internationally.

Yes. The Bachelor of Artificial Intelligence is aligned with the British Computer Society (BCS) professional standards and IEEE guidelines for AI system design and ethics. The curriculum reflects the knowledge expected of AI professionals operating at strategic and engineering leadership levels, and graduates are well placed to pursue BCS membership and CompTIA certification pathways following graduation.

Direct entry requires A-Levels at BBC or above, an IB score of 26 or more, or equivalent overseas qualifications. Holders of a UK Higher Diploma or Advanced Diploma in AI or Computing may apply for the top-up route. International applicants require IELTS 6.0 overall with no band below 5.5. A personal statement and two academic or professional references are required from all applicants.

The Bachelor of Artificial Intelligence spans 36 months of full online study, with a shorter top-up route for UK Higher Diploma holders. Graduates can proceed to LOU's Master of Artificial Intelligence or pursue AI engineering, machine learning leadership, data science, and technology consultancy roles across the UK, Europe, and the global technology sector.