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BSc Data Science and Artificial Intelligence (AI)

Bangor University

About this course

BSc (Hons) in Data Science and Artificial Intelligence (AI). Core topics include Programming, Computer Architecture, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. A supervised individual project forms part of the final year, and the course includes a summer placement module requiring a minimum of seventy hours of work experience.

Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.

Institution
Bangor University
Level
undergraduate
Subject
Data Science and Artificial Intelligence (AI)
Duration
3 years
UCAS code
H118
Typical offer
UCAS 120-136

Entry requirements

Offers are tariff based, 120 - 136 tariff points from a Level 3 qualification e.g.: A-levels: Including minimum grades BC in Maths and Further Maths/Science/Electronics.* General Studies and Key Skills not normally accepted. BTEC National Extended Diploma in a relevant subject: DDM-DDD Cambridge Technical Extended Diploma in a relevant subject: DDM-DDD City & Guilds Advanced Technical Extended Diploma (1080): considered on a case-by-case basis International Baccalaureate Diploma is accepted Welsh Baccalaureate is accepted Access to HE in a relevant subject (Science/Maths/ Computing/IT)* T-levels: considered on a case-by-case basis. We also welcome applications from mature applicants. *Other subject areas may be considered on a case-by-case basis For full details go to our website and for a full list of accepted Level 3 qualifications, go to www.ucas.com

Modules

  • Professional Perspectives
  • Mathematics for Computing
  • Web Technologies
  • Computer Architecture and Operating Systems
  • Database Systems
  • Imperative Programming Foundations
  • Python Programming
  • Industrial Projects
  • Business and Enterprise Programming
  • Human-Computer Interaction for User Experience
  • Data Structures and Algorithms
  • Data Systems, Management and Ethics
  • Applied Data Science with Python
  • Individual Project
  • Research Methods
  • Computer and Network Security
  • Advanced Data Management and Analytics
  • Principles Of Machine Learning
  • Machine Learning
  • Summer Placement