Queen Mary University of London
In our data-driven economy, companies are seeking highly numerate data experts who can use statistical techniques and the latest technologies to extract clear insights to inform every aspect of their strategy and operations. The Data Analytics MSc will teach you the core mathematical principles of data analysis and how to apply these to real-world scenarios.
- Be taught by expert academics, including industry practitioners - many of whom are Fellows of the Alan Turing Institute
- Learn from esteemed Queen Mary’s Institute of Applied Data Science members and attend lectures and seminars run by the Institute
- This programme is highly applied and will feature industry connections to help you put your learning into the context of real-world challenges
- Ideal if you have an interest in problem-solving and some understanding of probability or statistics
- Suitable for graduates from mathematical/numerate degree subjects, such as maths, statistics, physics, engineering, economics and computer science
What you'll study
In the first semester you will learn the core fundamentals of data analytics, machine learning and the statistics of data analysis, together with some of the relevant technology. You will then choose from module options which explore financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.
You may choose to focus your studies in one of three areas: focusing on the statistical foundations, financial or scientific applications of data science.
Over the summer you will work on a research project which will allow you to develop strong applied data science research skills.
You do not need to be a programming expert before you join us. You will explore a variety of industry-standard tools (such as R and Python), which will allow you to choose which technologies you want to specialise in.
We offer all students the opportunity to take the Microsoft Office Specialist qualification which includes valuable expertise in Excel.
- Three compulsory modules
- Five elective modules (chosen from 12)
- Final project and dissertation
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
UK 1st class degree: 70% to 80%
UK 2:1 degree: 60% to 70%
UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
For India, offers may be made on the GPA scale.
We do not consider the Bachelor of Vocation (B. Voc.) for Masters entry.
English language requirements
If you got your degree in an English speaking country or if it was taught in English, and you studied within the last five years, you might not need an English language qualification - find out more.
The minimum English Language requirements for entry to postgraduate degree programmes within the School of Mathematical Sciences are:
6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.
92 overall including 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
62 overall including 57 in Writing, and 51 in Reading, Listening and Speaking.
Visas and immigration
Find out how to apply for a student visa.
Program Reviews -
Queen Mary University of London
|Starting Date:||Submission deadline||Status|
|September 2022||January 1970||Open Now|