M.Sc. in Data Analytics, 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.;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 Data Analytics MSc programme offered at Queen Mary University of London 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.;I want to find another Master Course;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.;Get more details;Visit official programme website