MSc Business and Data Analytics

Ravensbourne University London · London (Greenwich Peninsula), United Kingdom

MScEnglish90 ECTS1 yearOn CampusFull-time

This programme focuses on statistical data analysis, business intelligence, data mining, and decision-support modeling. Students learn to translate raw data into business intelligence and strategic recommendations. Graduates work as data analysts, BI developers, and quantitative specialists.

Key facts

Tuition (EU / EEA students): £18,500/year
Tuition (Non-EU students): £18,500/year
Application deadlines (EU / EEA students): 2027-06-30
Application deadlines (Non-EU students): 2027-06-30
Duration: 1 year
ECTS credits: 90
Language: English
Study format: On Campus
Starts: 01 September 2027
Intake: September

Admission requirements

Entry requirements

MA/MSc typically 2:1 or 2:2 honours degree (course-specific; MSc Computer Science 2:2 in CS-related subject) or equivalent professional qualification; CV/Resume required for most courses; portfolio or showreel only for portfolio-review courses.

Required documents

Personal statement; Portfolio or showreel (course-dependent); Evidence of qualifications (certificates/transcripts); CV/Resume; Reference; Passport photo page; Scholarship evidence (if applicable)

Application deadlines

EU / EEA students

2027-06-30

Non-EU students

2027-06-30

Programme overview

DegreeMSc
Duration1 year
ECTS90
LanguageEnglish
Study formatOn Campus
PaceFull-time
CountryUnited Kingdom
FacultyBusiness School / Department of Management

Official university

Ravensbourne University London

Visit official programme page →

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What will it actually cost?

Tuition plus the legal minimum proof-of-funds for United Kingdom, over 1 year of study.

EU & Non-EU	Tuition	Living	Total
EU & Non-EU	£18,500	—	needs the fee

No official living-cost requirement on file for this country.

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Helpful resources

Full admission requirements, deadlines, and scholarships are always most accurate on the official programme page.
Estimate living costs in London (Greenwich Peninsula) on Numbeo ↗.
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