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MSc Advanced Computer Science (Cloud Computing)

University of Leeds — Leeds, United Kingdom

MSc Advanced Computer Science (Cloud Computing) is a postgraduate Computer Science & IT course at University of Leeds, Leeds, United Kingdom. It takes 12 months, costs £34,600 per year and starts in September.

Postgraduate · 12 months · Full-time · Computer Science & IT · £34,600 per year

Intakes: September

Developments in cloud computing technology are transforming the way we live and work. This Masters degree will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science. Our Advanced Computer Science MSc will build on your existing knowledge of computer science, giving you a foundation in topics like systems programming a

Modules

  • Intelligent services for distributed systems and computer networks
  • Machine Learning based cloud resource scheduling
  • Energy-aware resource management
  • Scalable serverless workflows
  • Distributed systems applications using Crazyflie drones and e-puck2 robots
  • Access to Microsoft Azure cloud
  • Twin Immersion Corp CyberGloves
  • rendering cluster and labs containing both Microsoft and Linux platforms, among others.
  • Access to Crazyflie drones and e-puck2 robots for individual projects.

Frequently asked questions

How long is MSc Advanced Computer Science (Cloud Computing) at University of Leeds?

MSc Advanced Computer Science (Cloud Computing) takes 12 months (Full-time).

How much does MSc Advanced Computer Science (Cloud Computing) at University of Leeds cost?

The listed tuition fee is £34,600 per year. Fees can change, so confirm the current amount before you apply.

When does MSc Advanced Computer Science (Cloud Computing) start?

Intakes: September.

What level is MSc Advanced Computer Science (Cloud Computing)?

It is a postgraduate course in Computer Science & IT.

What will I study on MSc Advanced Computer Science (Cloud Computing)?

Modules include Intelligent services for distributed systems and computer networks, Machine Learning based cloud resource scheduling, Energy-aware resource management, Scalable serverless workflows, Distributed systems applications using Crazyflie drones and e-puck2 robots and Access to Microsoft Azure cloud.