MSc Artificial Intelligence and Data Science
12 monthsProgramme duration
18,440 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll solve complex real-world problems and apply intelligent technologies across sectors such as healthcare, finance, and digital innovation, developing skills that are in high demand globally.
Designed for future professionals who combine technical expertise with ethical awareness, this master’s degree builds knowledge of programming, data management, artificial intelligence (AI), machine learning, and deep learning. You’ll also examine the social and ethical questions that shape responsible innovation.
As part of this conversion course, you’ll:
- Acquire, manage, and transform data using scalable pipelines and cloud-based platforms
- Develop fluency in industry-standard tools and frameworks, evaluating algorithms, data sources, and model outputs
- Apply advanced machine and deep learning techniques to real-world challenges, selecting and justifying appropriate approaches using theory and industry benchmarks
- Design and deploy AI-powered applications using frameworks such as TensorFlow and PyTorch
- Strengthen your ability to collaborate across disciplines and communicate complex ideas to a range of audiences
- Explore a specialist area in depth through an independent research project that contributes original insights
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll solve complex real-world problems and apply intelligent technologies across sectors such as healthcare, finance, and digital innovation, developing skills that are in high demand globally.
Designed for future professionals who combine technical expertise with ethical awareness, this master’s degree builds knowledge of programming, data management, artificial intelligence (AI), machine learning, and deep learning. You’ll also examine the social and ethical questions that shape responsible innovation.
As part of this conversion course, you’ll:
- Acquire, manage, and transform data using scalable pipelines and cloud-based platforms
- Develop fluency in industry-standard tools and frameworks, evaluating algorithms, data sources, and model outputs
- Apply advanced machine and deep learning techniques to real-world challenges, selecting and justifying appropriate approaches using theory and industry benchmarks
- Design and deploy AI-powered applications using frameworks such as TensorFlow and PyTorch
- Strengthen your ability to collaborate across disciplines and communicate complex ideas to a range of audiences
- Explore a specialist area in depth through an independent research project that contributes original insights
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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International
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