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. You can use the UCAS calculator to see how your qualifications equate to UCAS tariff points.
If English is not your first language you'll need IELTS (Academic) 6.0 with minimum 5.5 in each component, or equivalent.
Why study BSc (Hons) Data Science & Analytics at BU?
Learn how to work with Big Data frameworks and develop results into contemporary visual analytics
Explore cutting-edge Machine Learning techniques, including how to implement and apply algorithms such as Artificial Neural Networks on a range of real-world industry-inspired problems
Delve into Deep Learning, which is driving innovation in a huge range of fields involving image, video, speech and text analysis for applications like self-driving cars, detecting fake news, and medical diagnosis
You'll gain valuable work experience on your placement if you choose to take one, entering an industry with huge predicted growth in the next decade
All of our computing courses share a common first year, giving you the time to really explore each subject before deciding on a specialism. Take a look at the courses here.
UCAS Code: G101
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Year 1
Core units
Principles of Programming: Covers the fundamental skills required to implement software solutions. Lab sessions will focus on the application of concepts to real-world problems, and you will test and debug a given program using a suitable strategy.
Computer Fundamentals: Enables you to understand the concepts and terminology of computer systems and computer security. You will do this through group based lab exercises where you will collaborate with other students focusing on problem based learning. This unit sets the foundations for you to further develop your knowledge of computing and cyber security.
Data and Databases: Develop your knowledge and practical expertise in the application of database design techniques, as well as your understanding of data processing.
Networks and Cyber Security: Learn the fundamentals of networks and how to secure them using security controls such as firewalls and intrusion detection & prevention systems. Understand how evolving technology, such as the cloud and IoT, impacts many organisations and how it facilitates their network security.
Application of Programming Principles: Having completed the Principles of Programming unit, you will use your knowledge to gain an insight into more complex system development. Lab sessions will allow you to complete team based exercises.
Business Systems Analysis and Design: Learn and understand the role that computer systems play within organisations, and the value they provide to stakeholders. You will have the opportunity to design, construct, and evaluate interactive systems to meet an organisation’s needs.
Year 2
Core units
Data Management: You will develop further skills and understanding of the techniques and technologies used in databases and data management.
Machine Learning: You will be introduced to the underlying theory behind data processing techniques, and how to develop the tools required to perform rigorous data analytics. Lab sessions will focus on the application of these learnings to real world problems.
Project Management & Team Working: You will gain experience of working in a team on an IT systems development project, which will prepare you for work placement in Year 3.
Tools & Technologies of Data Science: Understand the challenges of Big Data analysis, including ethical, legal and professional implications. Gain knowledge of the most significant computing tools and technologies for dealing with Big Data: Hadoop and noSQL databases, MapReduce programming and other algorithm parallelization approaches.
Option units
Systems Design: With a focus on ‘upstream’ development tasks, you will learn about the needs and of software system designs, and explore the problems with traditional systems development such as human computer interface design and usability.
Web Programming: Explore the processes, methodologies and practices associated with web programming and gain hands-on experience in web application design, implementation, deployment and maintenance.
Infrastructure Strategy: Exploring the relationship between the goals of Information Systems and the infrastructure strategies of small and medium enterprises, you will look at computer and networking infrastructures and characteristics like flexibility, scalability, performance, resilience, quality of service and security, and design choices and implications of corporate infrastructure.
Application Programming: Building on your previous programming experience, you'll design more complex applications and explore data persistence, concurrency, and networking.
Please note that option units require minimum numbers in order to run and may only be available on a semester by semester basis. They may also change from year to year.
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 onto the four-year degree (including the placement), you can opt out of the placement element to complete your degree in three years.
Final year
Core units
Data Visualisation & Visual Analytics: Gain the skills of data/information visualisation and visual analytics, starting with foundations of the inner workings of the human visual system and perception, through principles and tools of visualisation and visual analytics, to practical application of learnt skills within a hands-on project using state-of-the-art software tools.
Deep Learning: This is an increasingly important area of Artificial Intelligence. You will implement deep learning solutions to complex real-world problems using state-of-the-art deep learning software libraries.
Individual Project: Study a topic of your choice independently. You will coherently present your process and product.
Option units
Data Mining: The principles and techniques of data analysis. You will carry out data analysis experiments.
Machine Intelligence: The essential elements of machine intelligence including machine learning, to enable specialised data analysts to solve real-world problems in areas such as business, finance, planning and management.
Ubiquitous Computing: Mobile and pervasive systems are having a profound impact on personal and business activities. This unit examines systems and technologies that factor in the success of such systems.
Advanced Development: The design of applications that support enterprise activities. There will be an emphasis on mixing applications and Internet-based services.
Please note that option units require minimum numbers in order to run and may only be available on a semester by semester basis. They may also change from year to year.
IT plays an ever more important role in every aspect of our lives and businesses are always looking for professionals who have the skills and drive to succeed in this fast-paced and ever-evolving industry. This degree will give you all the technical knowledge you need to get ahead, as well as giving you a good grasp of management in an IT setting. It is predicted that data science and artificial intelligence will see a huge growth in the next decade across almost all industries, therefore putting you in high demand. Career opportunities include data scientist, data analyst, data architect or information analyst.
Our graduates are highly sought after, within fifteen months of completing their course, 91% of our students are in further study or work, of which 84% students are employed in a professional or managerial position.
OSHC: 624 ($) GBP per year
