BSc (Hons) Data Science (including foundation year) 48 months Undergraduate Program By London Metropolitan University |Top Universities
Program Duration

48 monthsProgram duration

Tuitionfee

19,500 GBPTuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

Looking to pursue a career in Data Science, but don’t yet have the qualifications or experience to begin our three-year course? Our Data Science (including foundation year) BSc route is the perfect opportunity for you to meet the necessary entry requirements...
Read more

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

Looking to pursue a career in Data Science, but don’t yet have the qualifications or experience to begin our three-year course? Our Data Science (including foundation year) BSc route is the perfect opportunity for you to meet the necessary entry requirements...
Read more

Admission Requirements

6+
72+
59+

In addition to the University's standard entry requirements, you should have:

  • at least one A level (or a minimum of 32 UCAS points from an equivalent Level 3 qualification, eg BTEC Subsidiary/National/BTEC Extended Diploma)
  • English Language and Mathematics GCSEs at grade C/4 or above (or equivalent, eg Functional Skills at Level 2)

If you meet the UCAS points criteria but obtained a D/3 in English and/or Maths at GCSE you may be offered a University test in these areas.

4 Years
Sep

Tuition fees

Domestic Students

9,250 GBP
-

International Students

19,500 GBP
-

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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