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Master of Engineering Artificial Intelligence

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University of Southampton Malaysia

Master of Engineering Artificial Intelligence

university icon
University of Southampton Malaysia

Master of Engineering Artificial Intelligence

Qualification
Master's Degree
Duration
4 years
Intake
MarMarJulJulSepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
No data
Other Fees
Description Fee
No data

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University of Southampton Malaysia ?

The Master of Engineering in Artificial Intelligence program at the University of Southampton Malaysia offers an in-depth exploration of a diverse range of modern approaches to artificial intelligence (AI) and machine learning. Students will acquire the necessary expertise to design and develop advanced systems and services, equipping them with a highly sought-after and continuously expanding skill set upon graduation.

AI is a rapidly evolving field within computer science, playing a crucial role in automating processes across various domains of contemporary life. It has become indispensable in enhancing efficiency and performance, revolutionizing the ways in which we live and work. Techniques involving big data and machine learning are driving these advancements, enabling transformative changes that have a profound impact on society.

Through this program, students will delve into the forefront of AI, harnessing the power of big data and machine learning to unlock innovative solutions and drive progress in numerous industries. They will be well-prepared to contribute to the ongoing development and application of AI technologies, meeting the growing demand for professionals in this exciting and dynamic field.

Year 1 overview

You’ll be introduced to the basic principles of mathematics and programming for AI and computer engineering. You’ll also explore topics like:

  • data analytics
  • the ethics and security of computing
  • algorithms and analysis

Together, these core concepts will form the foundations for more in-depth study.

Year 2 overview

You’ll build on year 1, exploring topics like:

  • AI and learning machines
  • scientific computing
  • signals and analysis

You’ll also undertake an interdisciplinary group project, giving you the chance to work with a wide audience of engineers, scientists and other domain experts.

Year 3 overview

You’ll have the opportunity to specialise, with optional modules exploring topics like:

  • computational biology
  • natural language processing
  • computer vision
  • causal reasoning and machine learning

You’ll also undertake your individual project. This will be your opportunity to acquire valuable skills in teamwork, project planning, time management and presentation. You’ll apply your learning to design and build problems, and gain experience working to a brief.

Year 4 overview

You’ll undertake a group design project, and specialise further in areas like:

  • algorithmic game theory
  • biometrics
  • data visualisation
  • social media and network science
  • simulation modelling
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