Computer Science (Artificial Intelligence) MSci
- 2 Study options
- Undergraduate
- Main Site
Course summary
This integrated master’s course prepares you for cutting-edge work and an exciting career in the rapidly growing fields of advanced data analytics and efficient, edge Artificial Intelligence.
Why study MSci Computer Science (Artificial Intelligence) at BU?
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Master advanced AI tools and techniques: Seamlessly build upon your BSc Data Science and AI knowledge and learn to select, use, and combine machine learning technologies to meet global analytical demands in a focused 120-credit program
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Build cutting-edge technical expertise: Implement, apply, and optimize algorithms such as deep learning and neural networks while developing real-world, industry-inspired AI applications in state-of-the-art labs equipped with enterprise-grade hardware and virtualization-ready infrastructure.
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Tailor your degree: Choose specialist units such as computer vision and natural language processing to align with your career goals and gain practical experience.
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Enhance your employability: Gain valuable work experience and industry insights through a team-based Master's project without a traditional dissertation, collaborating with BU staff and global experts from academia and industry.
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Access diverse career opportunities: Prepare for roles that drive innovation in AI-driven fields, from data scientist to AI developer or machine learning engineer.
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Achieve excellent graduate outcomes: Our graduates secure roles in a rapidly growing industry, demonstrating the value of an integrated, applied Master's degree with a streamlined 120-credit structure.
How to apply
Application codes
- Course code:
- I402
- Institution code:
- B50
This course may be available at alternative locations, please check if other course options are available.
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Historical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
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Fees and funding
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