Data Science and Artificial Intelligence

Bournemouth University

**Preparing you for cutting edge work and an exciting career in a growing field of advanced data analytics and artificial intelligence.****Why study BSc (Hons) Data Science & Artificial Intelligence at BU?**- 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, apply and optimise machine learning algorithms such as deep learning and neural networks, as well as developing real-world industry-inspired data applications for any organisation - 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 speciality labs with enterprise grade hardware and fully virtualisation ready enterprise level infrastructure- Gain valuable work experience on your placement if you choose to take one, entering and industry with huge 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. Within 15 months of finishing the course, 91% of graduates are in employment or further study. **Course accreditation** BU is a member of the Cisco Network Academy program this allows us to offer students the chance to study for internationally recognised industry certifications in computer networking and related areas. The CCNA Cisco Certified Network Associate course forms the basis for Cisco’s certification program. It is desirable to employer’s and can act as base for more advanced professional certifications.Following the October 2024 visit from the BCS, The Chartered Institute for IT, we are pleased to announce that we have been awarded initial accreditation to this course, pending full accreditation.

Faculty of Media, Science and Technology