Taught course (will run subject to approval)

Data Analytics

Institution
Queen Mary, University of London · Mathematical Sciences
Qualifications
MSc

Entry requirements

The majority of our applicants will have an undergraduate degree with first class or upper second class honours (or international equivalent). Offers will typically be made at 2.1 level (upper second class) or equivalent. Students with a good lower second class degree may be considered on an individual basis. In some cases your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes.

Students applying to this programme should have studied a subject with a substantial mathematical component at the undergraduate level. We welcome those from a variety of relevant disciplines, including mathematics, statistics, physics, engineering, economics and computer science.

Months of entry

September

Course content

Overview

This Data Analytics MSc will teach you the core mathematical principles of data analysis and how to apply these to real world scenarios. Building on the statistical foundations of machine learning you’ll then choose from module options which explore the financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.

Data science is the driving force behind today’s most successful businesses. 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. From financial corporations, to AI start-ups, and across the technology, retail and healthcare industries, highly sought-after Data Scientists can earn over £56k per year on average (according to Indeed.co.uk, UK figures).

Why study with us?

We’re looking for numerate students with an interest in problem solving and some understanding of probability or statistics. You don’t need to be a programming expert before you join us; you’ll get to discover a variety of industry-standard tools (such as R and Python) to allow you to choose which technologies you want to specialise in.

You’ll be taught by our expert academics, who include former industry practitioners with many years’ experience. Many of them are Fellows of the Alan Turing Institute and members of Queen Mary’s Institute of Applied Data Science.

Over the summer you will work on a research project in an area of interest, developing strong applied data science research skills and putting your learning into practice. You may choose to collaborate with one of our industry partners on a real-world data problem.

Fees and funding

See our website for more information on scholarships.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
School of Mathematical Sciences
Email
maths@qmul.ac.uk
Phone
02078825440