Data Science
Explore the analytical and modelling side of business problems, connecting data with management decisions.
You might enjoy this if…
You enjoy quantitative problems and want to understand how models work.
From subjects
to ways of thinking.
Use this guide to understand the field. Check the official syllabus for exact electives and current availability.
Statistical modelling
Machine learning concepts
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.
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 foundationSemester 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
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.
Build a proposal for predicting customer churn, including the data needed and how to evaluate the model.
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.
Illustrative career directions, not job or salary guarantees.
Turn interest into a plan.
Check eligibility, current fees and the next available intake.