General

This space is designed to give important information and updates to current students of the MSc Data Analytics about their programme of study.

Your Programme Director: Dr. Nicola Perra

Email: n.perra@qmul.ac.uk

Office: MB-G26

Website: https://www.qmul.ac.uk/maths/profiles/perran.html

This programme is divided in three parts.

In the first term, you will complete the compulsory modules that provide a foundation in data analytics, machine learning, and the statistics of data analysis. You will build upon this knowledge working with industry-standard tools and software.

In the second term, you will decide on your specialism. This part of the programme has been designed to prepare you for specific career paths, so what you study will depend on what you wish to do in the future.

Our specialisms, also known as streams, can be found below. We've highlighted the skills you will develop and the potential career paths for each stream.

Applied Machine Learning

You will learn to use mathematical, computational and statistical techniques to design, implement, and evaluate machine learning models to solve real-world problems.
Potential career opportunities in developing and deploying predictive tools in Finance, Healthcare, Retail, and Manufacturing sectors among others.

Pattern Recognition and Deep Learning

You will learn to use mathematical, computational and statistical techniques to extract and learn patterns from different types of data.
Potential career opportunities in developing advanced data insights tools in Tech, Finance, Healthcare, Retail, Automotive, and Manufacturing sectors among others.

Statistical Inference

You will learn to use mathematical, computational and statistical techniques to analyze data, draw meaningful conclusions, and contribute to evidence-based decision-making across application domains.
Potential career opportunities in developing advanced statistical models in Finance, Healthcare, Retail, and Manufacturing sectors among others.

In the third term, over the summer, you will work alongside one of our researchers on an independent research project. This will consolidate your learning and allow you to develop strong applied data science skills.

You do not need to be a programming expert. You will explore a variety of data analysis tools (such as R and Python).

We offer all students the opportunity to take the Microsoft Office Specialist qualification which includes valuable expertise in Excel.