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Most courses need the equivalent of a UK 2:2 honours degree; some need a 2:1. For Sri Lanka, a Bachelor degree with lower second class (or upper second class where a 2:1 is required) is accepted
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MSc Business Data Analytics
Combines analytics and data tools with business decision-making. For numerate graduates aiming at business analyst or data-driven management roles.
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Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
Open budget planner →Funding informationThis university has scholarship information recorded.
Explore funding →Sri Lankan student planning
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.5 overall, no skill below 5.5
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at Cranfield University
The Sri Lanka page lists the Cranfield Global Manufacturing Leadership Masters Scholarship and Charles Wallace Trust funding as options; amounts were not stated there, and some scholarships require a first-class degree.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Business Data Analytics
Combines analytics and data tools with business decision-making. For numerate graduates aiming at business analyst or data-driven management roles.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Prepare, analyse and communicate insights from data.
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
31 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Introduction to Prescriptive AnalyticsPublished course content
- 02Optimisation techniques (unconstrained and constrained optimisation)Published course content
- 03Decision TreesPublished course content
- 04Multi-criteria decision makingPublished course content
- 05Simulations: Monte-Carlo, discrete and continuous simulationPublished course content
- 06Types of data and data sourcesPublished course content
- 07Research ethicsPublished course content
- 08Data cleaningPublished course content
- 09Principles of scenario analysisPublished course content
- 10Descriptive statisticsPublished course content
- 11Data miningPublished course content
- 12Introduction to R software environmentPublished course content
- 13Python program structure and flow, data types, basic and advanced language constructsPublished course content
- 14Functional and object-oriented methodologiesPublished course content
- 15Built-in and third-party libraries for software developmentPublished course content
- 16Software design principles and practicesPublished course content
- 17Development environments and documentation toolsPublished course content
- 18Accounting rules and preparation of a company balance sheetPublished course content
- 19Income statement and adjustmentsPublished course content
- 20Statement of cashflowsPublished course content
- 21Measuring financial performance using ratio analysisPublished course content
- 22ESG reportingPublished course content
- 23Company budgetsPublished course content
- 24Variance analysisPublished course content
- 25Sources of financePublished course content
- 26Cost of equity/debtsPublished course content
- 27Capital investment decisionsPublished course content
- 28Research designPublished course content
- 29Planning a management project and formulating management questionsPublished course content
- 30Data analysis using quantitative techniquesPublished course content
- 31Formulating research questionsPublished course content
Entry requirements
Can I apply?
- Academic
- UK first or second class honours degree (2:2 minimum) or international equivalent
- Sri Lankan qualifications
- Most courses need the equivalent of a UK 2:2 honours degree; some need a 2:1. For Sri Lanka, a Bachelor degree with lower second class (or upper second class where a 2:1 is required) is accepted
- English (IELTS)
- 6.5 overall, no skill below 5.5
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- We check your eligibility and documents.
- We prepare and submit your application to Cranfield University.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
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Course information checked October 2026 from the official course page on cranfield.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Cranfield University before you apply. Global Educational Consultants is an independent consultancy.