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BSc Artificial Intelligence

University of Hull

Institution
University of Hull
Level
undergraduate
Subject
Computer Sciences
Duration
3 years
UCAS code
G700
Typical offer
IB 28, UCAS 96-112

Entry requirements

Most importantly, you need ambition. Together with our support and opportunities, you can go further than you ever thought possible. Our typical offer for this course is 96–112 UCAS points . Our contextual offer is 96 points. But there’s no ceiling on ambition. At least 80 points must come from A levels, BTEC, or other equivalent qualifications. Remember, we look at your whole application – not just grades. Achievements, work experience, extracurricular activities: they all count here. We also consider qualifications and experience from the UK and worldwide that may not exactly match those listed. Not sure if you’ll meet the entry requirements? Talk to our Admissions team today . We’ll look at your circumstances, give you personalised guidance and help you understand your options, one of which could be a Foundation Year . Applicants should also have GCSE Maths at Grade 4 or C or above. Alternative qualifications IB Diploma: 28 points Pass Access to HE Diploma overall with a minimum of 96-112 UCAS tariff points

About this course

BSc (Hons) in Computer Sciences. Core topics include Programming, Artificial Intelligence & Machine Learning, Data Analysis, and Statistics. The course offers an optional paid year in industry and a final-year Honours Stage Project. An optional study abroad year is also available.

Modules

  • Preparing for Learning in Higher Education
  • Group Challenge (Sciences)
  • Foundation Mathematics 1
  • Introduction to Computing.
  • Foundation Mathematics 2
  • Foundation in Data Analysis
  • Programming Portfolio
  • Computational Thinking
  • Algorithms and Data Structures
  • Databases and the Cloud
  • Professional Development
  • Design, Develop, Deploy
  • Databases and Networks
  • Artificial Intelligence
  • Data Analysis and Visualisation
  • Advanced Programming
  • Foundations of Cyber Security and Secure Development
  • Communicating and Teaching Computing
  • Honours Stage Project
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Generative and Collaborative AI
  • Study Abroad
  • Year Out in Industry or Commerce
  • Commercial Development Practice
  • Dependable Reactive Real-Time Systems
  • Cutting Edge Concepts
  • Responsible, Safe and Explainable AI