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This course is designed to provide students with a comprehensive understanding of the principles and practices of computer science. Students will learn about the fundamental concepts of programming, data structures, algorithms, software engineering, and computer systems. The course also covers advanced topics such as artificial intelligence, machine learning, and computer networks. Throughout the course, students will develop practical skills in programming languages such as Python and Java, and work on real-world projects to apply their knowledge. Graduates of this course will be well-prepared for careers in software development, data analysis, and related fields.
Students have access to state-of-the-art computing facilities, including a dedicated programming lab and high-performance computing cluster. The course is taught by experienced academics with industry experience, providing students with practical insights into the field. Students can also participate in hackathons, coding competitions, and other extracurricular activities to gain practical experience.
Bournemouth University has a strong reputation for computer science education, with a dedicated team of academics and state-of-the-art facilities. The course is designed to provide students with the skills and knowledge they need to succeed in the field, with a focus on practical application and real-world projects. Graduates of this course have gone on to work at leading tech companies and startups around the world.
Develop the versatility and personal qualities to combine software development and theoretical aspects of computer science with meeting the most versatile and broadest needs of employers in a global context
Build and improve your applied technical skills with a strong appreciation of a more comprehensive range of computing topics to develop a broad range of computer applications and solutions for any organization
Study and practice in our state-of-the-art specialty labs with enterprise-grade hardware and fully virtualization ready enterprise level infrastructure
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 the world
Gain valuable work experience on your placement if you choose to take one
You'll be qualified to work as an IT professional in various roles, ranging from software engineer/developer to AI researcher, front-end developer, or DevOps engineer.
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
Computability and Complexity
Systems Development
Individual Project
Option units
Deep Learning and Applications
Digital Innovation and Transformation
Data Visualisation and Storytelling
Internet and Wide Area Networks
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 Reliable Computing
Computing and Society
Communications and Networking
Software Engineering
Systems Analysis and Design
Data Structures and Algorithms
Technological Innovations in Computing
Elective Units
Software Business
IELTS (Academic) 6.0 with a minimum of 5.5 in writing, speaking, listening, and reading, or equivalent.
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