Course summary
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. 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.
- develop your interpersonal skills
- raise your self-awareness
- encourage personal and career growth
- stimulate the idea of lifelong learning.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G302
- Institution code:
- W05
- Campus name:
- Main site - West London
- Campus code:
- M
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 120 points
A level - BBB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDM
GCSE (or recognised equivalent) English & Mathematics at grade 4/C or above.
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of West London
St Mary's Road
Ealing
W5 5RF