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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.
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.
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.
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.
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.
20 hours per week
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
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
Computer Fundamentals
Mathematics for Computing
Programming
Data Management
Introduction to Business Analytics
Computing and Society
Big Data Engineering and Analytics
Machine Learning
System Analysis and Design
Data Structures and Algorithms
Technological Innovations in Business Analytics
Software Business
IELTS (Academic) 6.0 with a minimum of 5.5 in each component or equivalent.
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