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BSc Data Science

UWE Bristol

Institution
UWE Bristol
Level
undergraduate
Subject
Data Science
Duration
3-4 years
UCAS code
I261

Entry requirements

GCSE: Grade C/4 in English and Mathematics or equivalent. Tariff points: 112 Contextual tariff: See our contextual offers page. English Language Requirement: International and EU applicants are required to have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or approved equivalent*). *The university accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades you'll need on our English Language Requirements page. A-level subjects: No specific subjects required. BTEC: No specific subjects required. For information on required Guided Learning Hours please see our minimum entry requirements page. Access: No specific subjects required. Baccalaureate IB: No specific subjects required. We accept the IB Career-related Programme in conjunction with other Level 3 qualifications. Welsh Baccalaureate: We accept tariff points achieved from the Advanced Skills Baccalaureate Wales in conjunction with other Level 3 qualifications. Cambridge Technical: No specific subjects required. T Levels: No specific subjects required.

About this course

BSc(Hons) in Web Development and Security. Core topics include Artificial Intelligence & Machine Learning, Statistics, Programming, Data Analysis, and Ethics & Professional Practice. Three progressive team-based projects run throughout the course, culminating in a final-year individual research project. The first year provides a foundation in statistics for students without A Level Maths.

Modules

  • Foundational Practice Team Project
  • Statistical Data Analysis
  • Data Platforms, Pipelines and Processing
  • Data Science Contexts
  • Introduction to Programming for Data Science
  • Advanced Practice Team Project
  • Fundamentals of Machine Learning
  • Big Data and Generative Models
  • Professional Issues in Data Science
  • Further Programming for Data Science
  • Professional Practice Team Project
  • Advanced Machine Learning
  • Data Science and AI Individual Project
  • Autonomous Agents and Multi-Agent Systems
  • Security Data Analytics and Visualisation
  • Advanced Databases