Data Science

UCAS code: G302

Here's what University of West London says about its Data Science course.

As a graduate of a BSc Data Science degree, you will offer your employers outstanding skills in modelling, statistical analysis, and software development. The course offers a balance between theory and applications, allowing you to both develop a deep understanding of mathematical and statistical tools whilst, being able to translate these into concrete computer-based solutions. Upon successful completion of this degree, you will be well-equipped to enter a career in data analysis, modelling, finance/insurance, or in the computing industry. You may also choose to further specialise by undertaking postgraduate studies in subjects such as computer science, cyber security, data science, or artificial intelligence.

What you'll study The course introduces you to mathematical, statistical, and computing techniques that form the basis of many tools used in industry, engineering, business, and education, using information and data as an integral part of decision-making and teamwork. This data science course aims to produce graduates who: • meet employer requirements for well-trained, competent, and adaptable professionals with expert knowledge in data-driven decision-making • are highly numerate and able to use this to applications for modelling purposes are independent learners, able to acquire new skills and continue to build their knowledge, to adapt to a rapidly changing job market • can undertake postgraduate studies in several disciplines related to data science, computing and artificial intelligence • are strong communicators and have strong interpersonal and team working skills have knowledge of ethical issues, particularly the need for sensitivity in data handling and decision-making. Throughout your studies you can expect a supportive learning environment that will: • develop your interpersonal skills • raise your self-awareness • encourage personal and career growth • stimulate the idea of lifelong learning. You can expect regular contact with employers and career advisers, as an integral part of taught modules and extracurricular activities. We offer an inclusive and diverse learning environment that makes use of a variety of teaching and learning methods, and encourages teamwork.