MSc data science admission practice interview
Statistical foundations, coding experience, project reasoning and motivation for advanced study in data science. Practise the 5 questions admissions panels ask with follow-ups. Paid plans add scored feedback on every answer.
Free with an Intaviu account: 320 credits a month, at 10 credits a minute of practice. Private: interview creators never see them.
- 20 minutes
- 5 questions
- Scored feedback on paid plans
About the programme
This interview tests whether you have the mathematical, programming and analytical base for advanced data science study. The panel also wants to understand how you reason about imperfect data, evaluate models and connect the degree to a realistic next step.
How to prepare
- Review probability, descriptive statistics, regression and model evaluation in practical terms.
- Choose one data project and rehearse its question, data preparation, method, result and limitations.
- Practise explaining a technical idea without relying on code or dense terminology.
- Refresh the Python or SQL tasks you have used to clean, join and inspect data.
- Identify the skills you still need and link them to the content of the programme.
Common mistakes
- Listing tools without explaining how you used them to answer a question.
- Treating model accuracy as sufficient without discussing validation, bias or error costs.
- Claiming advanced coding ability that you cannot support with a specific project.
- Giving career goals that do not explain why postgraduate study is necessary.
What to expect
A real admissions interview
5 questions the way admissions panels ask, with follow-ups when an answer needs more.
Spoken, like the real thing
Speak your answers in your browser or the free desktop app, with live captions. You can ask the interviewer to repeat anything.
Scored on 4 areas
The things this interview weighs most. With a paid plan, your report shows how you did on each one.
A private report
On Plus, Pro and Premium: every answer scored, your strongest lines quoted and what to say differently next time. Interview creators never see it.
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