Course summary
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data. You can study either full-time or part-time. Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.
Entry requirements
2:1 Hons degree (UK or equivalent) in Statistics, Computer Science or similar. We may also consider non-standard applicants, please contact us for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.
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
For information about fees and funding please visit our website: www.lancaster.ac.uk/study/fees-and-funding.
Provider information
Lancaster University
Bailrigg
Lancaster
LA1 4YW