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This course is designed to provide students with a comprehensive understanding of business computing and analytics. You will learn how to analyze and interpret large data sets, identify patterns and trends, and make informed decisions using advanced statistical techniques. With a focus on practical applications, you will gain the skills and knowledge needed to succeed in a rapidly changing digital landscape.
This course is ideal for students who want to pursue a career in data analysis, business intelligence, or e-commerce. You will have access to state-of-the-art facilities and software, including Python programming, Tableau data visualization, and SQL database management. Our faculty members are experts in their field and will provide you with personalized support throughout your studies.
Bournemouth University is a leading institution for business computing and analytics. Our courses are designed to meet the needs of the digital economy, and our graduates are highly sought after by top employers. With a beautiful coastal location and a vibrant cultural scene, Bournemouth offers an unbeatable quality of life.
Develop the versatility and personal qualities to combine business, technical, and data analytics skills to meet the dynamic needs of employers in a global context.
Build and improve your applied technical and data skills with a business appreciation to inform
Study and practice in our state-of-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 whose role focuses on transforming business processes and driving innovations to meet ever-changing business needs through IT.
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
Digital Innovation and Transformation
Data Visualisation and Storytelling
Individual Project
Optional units
Human-Computer Interaction
Software Quality Assurance
Systems Development
Elective unit
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
Elective unit
Computing and Society
Machine Learning
Information and Security Management
Systems Analysis and Design
Data Structures and Algorithms
Technological Innovations
Software Business
IELTS (Academic) 6.0 with a minimum of 5.5 in each component or equivalent.
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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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