Artificial Intelligence MSc at University of Liverpool

GBP 16,868

University of Liverpool, GBR

Type: Masters Duration: 2.5 years

Explore the Artificial Intelligence MSc program at University of Liverpool. This program is offered in GBR and provides an excellent learning opportunity in Masters studies.

The University of Liverpool offers an online Master of Science (MSc) in Artificial Intelligence, designed for professionals seeking to advance their careers in this dynamic field. The program spans approximately 30 months and is delivered part-time, allowing students to balance their studies with work commitments. The curriculum covers essential topics such as machine learning, deep learning, and natural language processing, equipping students with the technical skills necessary to develop and evaluate intelligent systems. Students will engage in a blend of required and elective modules, including Global Trends in Computer Science and Robotics, alongside options like Deep Learning and Cloud Computing. The program is fully online, providing flexibility and access to a comprehensive eLibrary and support from academic staff. Graduates will be well-prepared for various roles in IT, including data scientists and AI developers, in a sector that is increasingly reliant on advanced technologies.

University
University of Liverpool
University Location
GBR (Online)
Program Duration
2.5 years
Ranking
#166
Part-time allowed
Yes

Required Courses
  • Global Trends in Computer Science (15 credits)
  • Machine Learning in Practice (15 credits)
  • Multi-Agent Systems (15 credits)
  • Robotics (15 credits)
  • Computer Science Capstone Project (60 credits)
Elective Courses
  • Deep Learning (15 credits)
  • Data Visualisation and Warehousing (15 credits)
  • Cloud Computing (15 credits)
  • Security Risk Management (15 credits)
  • Information Technology Leadership (15 credits)
  • Strategic Technology Management (15 credits)
  • Technology Innovation and Change Management (15 credits)
  • Reasoning and Intelligent Systems (15 credits)
  • Natural Language Processing and Understanding (15 credits)
  • Research Methods in Computer Science (15 credits)