PGCert Data Science and Artificial Intelligence (Online)

Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview

This programme is designed for professionals from non-computing backgrounds, equipping them with the essential data science and AI skills to drive innovation in their current roles. You will learn to make data-driven decisions and implement intelligent systems, supported by the University of Liverpool's world-leading research and state-of-the-art facilities.

Key Program Highlights

  • Designed specifically for career-changers and professionals without a technical background
  • Access to an exclusive online development environment with all necessary software included
  • Learn from a world-leading university at the forefront of AI and data science research
  • Apply your skills to real-world challenges for immediate impact in the workplace
  • Study in a cutting-edge facility dedicated to digital innovation, robotics, and analytics

Requirements

The requirements may vary based on your selected study options.





















Modules

  • Programming Fundamentals
  • Research Methods in Computer Science
  • Maths and Statistics for AI and Data Science
  • Applied Artificial Intelligence
  • Database and Information Systems
  • Big Data and Society: Foundations, Politics, and Policy B
  • Data Mining and Visualisation
  • Web Programming
  • Machine Learning and Bioinspired Optimisation
  • Computational Intelligence
  • Artificial Intelligence and Communication B
  • Big Data and Society: Algorithms and Platforms B
  • Research Methods in Computer Science
  • Programming Fundamentals
  • Maths and Statistics for AI and Data Science
  • Applied Artificial Intelligence
  • Artificial Intelligence and Communication B
  • Advanced Geovisualisation
  • Database and Information Systems
  • Big Data and Society: Foundations, Politics, and Policy B
  • Biocomputation
  • Geographic Data Science
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Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs