Data Science - Bsc (hons) in University of Kent, UK

Data Science - Bsc (hons) in University of Kent

Our specialist BSc Data Science programme combines the expertise of internationally-renowned statisticians and mathematicians from the School of Mathematics, Statistics and Actuarial Science and computer scientists and machine learners from the School of Computing to ensure that you develop the expertise and quantitative skills required for a successful future career in the field.

On this new programme you gain a systematic understanding of key aspects of knowledge associated with data science and the capability to deploy established approaches accurately. You learn to analyse and solve problems using a high level of skill in calculation and manipulation of the material in the following areas: data mining and modelling, artificial intelligence techniques/statistical machine learning and big data analytics.

You also learn how to apply key aspects of big data science and artificial intelligence/statistical machine learning in well-defined contexts. In addition, you plan and develop a project themed in a data science area such as business, environment, finance, medicine, pharmacy and public health.

Know more about Studying in UK

Tuition Fees in UK (1st Year Average)	MS: £17276 | MBA: £17276 | BE/Btech: £16632 | BBA: £15130 | BSc: £16632 | MFin: £19000 | MA: £15560 | MIM: £18241 | MEM: £16950 | MArch: £14271 | BHM: £12662 | MIS: £15344 | MEng: £12876 | MBBS: £28865| MPharm: £15452
Average Accomodation & Food Costs in UK	£850 to £1,050 a month
Entrance Exams in UK	TOEFL: 88 | IELTS: 6.5 | PTE: 59 | GMAT: 590
Work and Study in UK	Permitted for 20 hours/week with a valid study permit.
Post Study Work Permit in UK	2 Year after graduation depending on the course.
Cost of Student Visa in UK	£348
Student Visa in UK	Your nationality, duration of your stay and purpose of your stay are the three essential factors for UK visa. For Non-EU students UK visa is mandatory.
Intakes in UK	There are mainly two intakes in UK: January/February & September/October.
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