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MBA / Data & technology

Data Science

Explore the analytical and modelling side of business problems, connecting data with management decisions.

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FOLLOW YOUR INTEREST

You might enjoy this if…

You enjoy quantitative problems and want to understand how models work.

YOUR LEARNING DIRECTION

From subjects
to ways of thinking.

Use this guide to understand the field. Check the official syllabus for exact electives and current availability.

01

Data preparation and exploration

02

Statistical modelling

03

Machine learning concepts

04

Communicating model results

Capabilities to explore

  • Ask whether data is suitable for a particular problem.
  • Interpret predictive results and recognise uncertainty.
  • Connect a model’s usefulness with a business decision.

Compare how universities teach this field.

These topics describe the learning direction, not a guaranteed elective list. Ask each shortlisted university for its current syllabus, project requirements, assessment methods and available specialisation combinations.

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PICTURE THE APPLICATION

What could this
look like in practice?

This original example illustrates the kind of business thinking connected with the field. It is not a promised programme assignment.

ILLUSTRATIVE PROJECT

Build a proposal for predicting customer churn, including the data needed and how to evaluate the model.

Frame the problemExplore the evidenceExplain your decision
Try a business challenge
CONNECT THE LEARNING WITH WORK

Where could you
use this thinking?

Research the responsibilities, skills and entry requirements in these work contexts. Your experience and the employer’s requirements matter alongside the qualification.

Data analystAnalytics consultantData science project associate

Illustrative career directions, not job or salary guarantees.

READY FOR YOUR NEXT QUESTION?

Turn interest into a plan.

Check eligibility, current fees and the next available intake.

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