Data Science and Artificial Intelligence at University of Liverpool

GBP 16,868

University of Liverpool, GBR

Type: Masters Duration: 2.5 years

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

The MSc in Data Science and Artificial Intelligence at the University of Liverpool is designed for individuals from non-computing backgrounds, aiming to equip them with essential knowledge and technical skills applicable in the workplace. This program spans approximately 30 months and is delivered entirely online, allowing for flexible study. Students will explore critical areas such as data gathering, analysis, and the development of intelligent systems. The curriculum includes core modules like Global Trends in Computer Science and Mathematics and Statistics for Data Science, alongside elective options such as Machine Learning in Practice and Natural Language Processing. The program is accredited by the BCS, ensuring it meets professional standards. Graduates will be prepared for various roles in the fast-growing fields of data science and AI, enhancing their career prospects significantly.

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)
  • Mathematics and Statistics for Data Science and AI (15 credits)
  • Software Development in Practice (15 credits)
  • Databases and Information Systems (15 credits)
  • Computer Science Capstone Project (60 credits)
Elective Courses
  • Reasoning and Intelligent Systems (15 credits)
  • Machine Learning in Practice (15 credits)
  • Multi-Agent Systems (15 credits)
  • Robotics (15 credits)
  • Deep Learning (15 credits)
  • Natural Language Processing and Understanding (15 credits)
  • Data Visualisation and Warehousing (15 credits)
  • Cloud Computing (15 credits)
  • Networks and Web Technology (15 credits)