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BSc (Hons) Data Science and Artificial Intelligence

Bournemouth University, United Kingdom
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Course Overview

This course provides students with a comprehensive understanding of data science and artificial intelligence. Students will learn how to collect, analyze, and interpret complex datasets, as well as develop algorithms and models that can be used to solve real-world problems. The course covers topics such as machine learning, deep learning, natural language processing, and data visualization, giving students a solid foundation in these areas. In addition, the course will also cover the ethical and social implications of data science and artificial intelligence, preparing students to be responsible and innovative professionals in their field.

Additional Information

Students on this course will have access to state-of-the-art facilities and equipment, including a dedicated data science lab and virtual reality environments. They will also have the opportunity to work on real-world projects and collaborate with industry partners to gain practical experience. The course is designed to be flexible, allowing students to tailor their learning to their interests and career goals.

Join Bournemouth University and gain a cutting-edge education in data science and artificial intelligence, backed by the expertise of our faculty members and the support of local and global industry partners.

Bournemouth University is a leading institution for data science and artificial intelligence education. Our faculty members are experts in their fields and have extensive industry experience, providing students with the best possible learning experience. The university has strong links with local and global businesses, giving students access to a range of internship and job opportunities after graduation.

Why You Should Study This Course

  • Develop the versatility and personal qualities to select, use and combine a variety of machine learning tools, technologies and methods to meet the dynamic data analytical demands in a global context

  • Build and improve your applied technical skills to implement, use and optimize machine learning algorithms such as deep learning and neural networks, as well as develop real-world industry-inspired data applications for any organization

  • Engage in a series of practical industry-focused tasks and co-participate in a range of research projects, not only with BU staff but experts from other institutions and industries in the UK and beyond

  • Study and practice in our state-of-art specialty labs with enterprise-grade hardware and fully virtualization-ready enterprise-level infrastructure.

  • Gain valuable work experience on your placement if you choose to take one, entering an industry with massive predicted growth in the next decade

  • You'll be qualified to work as a Data Science professional in all sectors where data analytics plays a critical role.

General Eligibility

This course requires 104–120 UCAS tariff points, including a minimum of 2 A-levels or equivalent. We are happy to consider a combination of qualifications and grades to meet the overall tariff, for example, A-levels A*CC, ABC, BBB or BCC, BTECs DDM, or DMM.

Part Time Work Details

20 hours per week

What You'll Study

1 Final year
  • Deep Learning and Applications

  • Data Visualisation and Storytelling

  • Individual Project

Option units

  • Computability and Complexity

  • Human-Computer Interaction

  • Software Quality Assurance

  • Systems Development

Elective units

  • Digital Futures​

2 Foundation Year (optional)
  • Academic Study Skills for Engineering and Technology

  • Introduction to Computers

  • Mathematics for Engineering and Technology

  • Introduction to Information Systems Analytics

  • Introduction to Programming

  • Foundation Year Engineering and Technology Project

3 Year 1
  • Computer Fundamentals

  • Mathematics for Computing

  • Programming

  • Data Management

  • Introduction to Business Analytics

Elective units

  • Computing and Society

4 Year 2
  • Big Data Engineering and Analytics

  • Machine Learning

  • System Analysis and Design

  • Data Structures and Algorithms

  • Technological Innovations in Business Analytics

Elective units

  • Software Business

Language Requirement

  • IELTS5.5
  • TOEFL59
  • PTE50
  • Duolingo69

IELTS (Academic) 6.0 with a minimum of 5.5 in each component or equivalent.

Additional Information

Optional placement year You’ll complete a minimum 30-week work placement which can be carried out anywhere in the world. The placement year offers a chance to gain experience and make contacts for the future. Although you will be enrolled in the four-year degree (including the placement), you can opt-out of the placement element to complete your degree in three years.

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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