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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.
FROM THE PUBLISHED CURRICULUM

See the subjects behind the direction.

The early semesters establish a business foundation. These later-semester subjects are listed on Amity’s programme page.

Explore the shared foundation

Semester 3 · published subjects

  • Analytics for decision making
  • Data Engineering
  • Data Visualization and EDA
  • Introduction to Data Science
  • Minor Project
  • Professional Ethics
  • Strategic Management

Semester 4 · published subjects

  • Advance Deep Learning
  • Digital Marketing
  • Major Project
  • Management in Action Social Economic and Ethical Issues
  • Supervised and Unsupervised Machine Learning
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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