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Computer Science (Data Science) with Integrated Masters

Course details
  • 2 Study options
  • Undergraduate
Course location
Main Site

Course summary

Global businesses are constantly advancing information technology to achieve their goals. This integrated master’s course equips you with technical and operational skills, preparing you for cutting-edge roles across diverse business contexts

Why study MSci Computer Science (Data Science) at BU?

  • Master advanced data science skills: Seamlessly build upon your BSc Business Computing with Analytics knowledge and combine data and business expertises to address real-world challenges in a focused 120-credit program.

  • Gain hands-on technical expertise: Learn in state-of-the-art labs equipped with enterprise-grade hardware and virtualization-ready infrastructure, mirroring professional environments for practical experience.

  • Tailor your degree: Choose specialist units such as machine learning and efficient and edge AI to align with your career goals and gain practical experience.

  • 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.

  • Access diverse career opportunities: Collaborate on industry and research projects with BU staff and global experts, preparing for roles that drive innovation and transform business processes.

  • Achieve excellent graduate outcomes: Our graduates secure roles from IT consultant to data scientist or AI solutions architect, demonstrating the value of an integrated, applied Master's degree with a streamlined 120-credit structure.

How to apply

Application codes

Course code:
I232
Institution code:
B50

This course may be available at alternative locations, please check if other course options are available.

Course options

Entry requirements

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Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

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Not enough data available

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Fees and funding

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