Self-contained studio apartment
Self-contained studio near Hendon; kitchen and bathroom included.
£280–£380/week
Bachelor of Artificial Intelligence and Data Science at Middlesex University London is a 3-year BSc (Hons) degree at the Hendon campus in North London. Study programming for data communications, introduction to AI and data science, algorithms and data analysis, foundations of computing, web applications and databases, machine learning, large language models, current trends in AI, and undergraduate individual project work across optional modules in robotics, defensive security, and neural networks.
Study at a university with Computer Science ranked #113 in the UK, 1st in London for Career Prospects (Whatuni Student Choice Awards), and strong links to London tech companies, data science teams, and AI research employers across the capital.
Indicative total fees are £51,600 tuition with £0 application fee, with live GBP to MYR conversion in the fee breakdown below.
Entry requirements typically include A Levels BB–BBC, UEC minimum grade B in five main academic subjects (excluding language), two STPM passes, and Other Qualifications on request. IELTS 6.0 overall with no band score less than 5.5 is required.
Career outcomes include data scientist, data analyst, machine learning engineer, AI engineer, and deep learning engineer roles across technology, finance, and research sectors in London and internationally.
Study at Hendon campus. Plan to apply at least three months before your September course start.
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Middlesex University ranks in the top 601–650 worldwide for Computer Science and Information Systems in QS World University Rankings by Subject and #113 in the UK for Computer Science, with artificial intelligence and data science training at the Hendon campus in London.
Students voted Middlesex 1st in London for Career Prospects in the Whatuni Student Choice Awards — with strong links to London tech companies, data science teams, and AI research employers across the capital.
Uni Compare ranked Middlesex 1st in London for Course Quality and Employability — combining rigorous AI and data science training with industry-connected teaching at Hendon.
Middlesex campus and computing resources are ranked 1st in London for Facilities in the Whatuni Student Choice Awards — including specialist computing laboratories and AI research facilities at the Hendon campus.
Study at Hendon campus — Middlesex University’s North London home, about 30 minutes from central London. Study at Hendon with specialist computing laboratories, AI research facilities, and collaborative learning spaces, plus strong links to London tech companies, data science teams, and AI research employers across the capital.
Minimum scores are shown on each card. Tap the grey on each card for score details.
Scholarship options for this degree programme depend on your intake and academic profile. Contact us and we’ll check eligibility with Middlesex University London.
Core fees are shown in British pounds (GBP). Ringgit (MYR) equivalents use a live GBP/MYR rate. Figures are illustrative only. Middlesex University London typically reviews tuition each year; expect an estimated 5–10% annual increase — always use the latest official tuition on your offer or fee schedule.
Indicative totals above are not a quote. Tuition and related fees follow Middlesex University London’s current published schedule for your intake year. For scholarships, contact us. MYR equivalents use the live rate shown above.
The Bachelor of Artificial Intelligence and Data Science is completed over 3 years of full-time study at Hendon campus, with September intake. Expand each year for compulsory modules, optional modules, and credits.
Year one at Middlesex Hendon builds core artificial intelligence and data science through programming for data communications and networks, introduction to AI and data science, algorithms and data analysis, and foundations of computing. You develop practical competence in programming, data structures, statistical analysis, and computing fundamentals while learning professional standards for software and data science practice. Hands-on sessions in specialist computing labs prepare you for machine learning, databases, and large language model modules in later years at the Hendon campus in North London.
Year two develops applied AI and data science through web applications and databases, data analysis for enterprise modelling, machine learning and other AI techniques, and large language models. You apply programming and analytical methods to enterprise data and AI model development while building skills for machine learning engineering and natural language processing practice. Teaching links theory to London tech and data science employer contexts and prepares you for current trends in AI and individual project work in year three.
Year three completes your AI and data science degree through current trends in AI and an undergraduate individual project, with optional modules in biologically inspired algorithms, AI in robotics, defensive security, mathematics of AI in data science, or spiking neural networks. You undertake independent research, explore emerging AI technologies, and consolidate professional skills for data science and machine learning pathways. Graduates are prepared for data scientist, data analyst, machine learning engineer, AI engineer, and deep learning engineer roles across technology, finance, and research sectors in London and internationally.
Middlesex University London offers a September intake for this degree at Hendon campus. Plan to apply at least 3 months before your classes start.
Exact dates vary by year; apply early to secure your place, arrange your UK student visa, and organise accommodation. Confirm with Middlesex University London or our advisors.
Start your UK student visa once you have your offer. We guide timeline and documents.
Official source: Intake dates are set by Middlesex University London and may change.
Live rate (same as Fee estimate): 1 GBP = — MYR
Planning Bachelor of Artificial Intelligence and Data Science at Middlesex University London is easier with a clear timeline and checklist. Our consultants help you align documents with your chosen intake and university deadlines.
Once your budget pathway and entry route are clear, we guide you through each submission step — from academic proofs to study-grant checks.
Get started nowNote: Student advisory through E-Square is free. Contact us early — ideally three months ahead of the deadline — so your timeline stays relaxed.
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