The World Economic Forum estimated there to be 40 times more data in the world than observable stars in the universe in 2020. Global businesses, social media companies, financial institutions, the healthcare sector and governments all rely on this data, and those who analyse it, to inform business-critical decisions at the highest level.
In this BSc (Hons) Data Science and Analytics degree course, you’ll learn to confidently analyse the vast amounts of data available – a highly desired skill in all sectors. You'll learn to use databases, systems and analytical tools, such as the Relational Model and structured query language (SQL), to identify insights and trends to benefit businesses, like targeting new products or increasing sales. You'll find out how the same systems can be used to identify patterns in medical data, predict disease or recovery, or fight against climate change through analysing soil data or marine biology.
You'll develop a deep understanding of modern big data, machine learning and data mining methods, preparing you for key roles such as data analyst, data scientist, systems developer and systems analyst.
Course highlights
- Apply your analytical skills to practical problems and real-world datasets collected from our extensive research in areas such as cosmology, health information and cyber security
- Develop commercial skills alongside technical data analysis, such as how to present and visualise your findings
- Choose specialist modules that match your interests and career ambitions, such as ethical hacking, 3D computer graphics and animation, malware forensics, robotics and cryptography
- Apply your skills through our work with charities and organisations such as Code Club, where you'll help 9-13-year-olds with their Scratch, HTML/CSS, and Python projects
- Benefit from our Student Union clubs and societies, such as the IT Society, AI and Robotics Club and Gaming Society
Accreditation
This course is accredited by the British Computer Society, partially meeting the educational requirement for CITP.