Data Analytics (Taught)

Course summary

There has never been a time where so much data has been available in conjunction with the tools to make the most of it, these tools constitute the field of data science. There has also, never been a time with so many global challenges to tackle, from the shortage of resource and the impact we have on the environment to the strive to automate and optimise a variety of systems such as transport, energy, health and communication. There are almost limitless opportunities to use these tools in the various domains and applications for making real impact on industry, society and policy making. This course is for you if you want to use your mathematical and numerical skills to embark on a career in data science and its application. During the course you will develop the necessary analytical and computational skills alongside an informed and critical appreciation of scientific and industrial developments in data. What you’ll learn You will gain a thorough grounding in the fundamental concepts of data analytics to understand the data lifecycle, including problem formulation, data collection and cleaning, exploratory data analysis and visualisation, statistical inference and decision making. Additionally, you will have the chance to apply your knowledge in a research project on a subject of your choice.

Assessment method

Our Data Analytics masters course combines tutorial-based teaching with self-directed study, so you’ll be equipped with the relevant learning materials and then given regular tutorials where you have the opportunity to discuss and demonstrate what you’ve learned alongside potential applications. The learning hours include one hour of face-to-face tutorial time per week, per module, along with online activities, reading, independent study, and opportunities to reflect on assignment feedback. The taught modules will be assessed via coursework, and the project via a combination of dissertation and viva examination.

How to apply

International applicants

An official academic transcript, with an official English translation, of your university grades to date. Applicants whose first language is not English will be required to provide evidence of an English language qualification. Find out more about our English language requirements. For more information about qualifications view our Aston in your future webpage. Pre-sessional English language programmes are available for good applicants whose English qualification falls just short of these requirements. Information on visas for international students.

Entry requirements

We expect applications from graduates of Mathematics, Statistics, Computer Science, Engineering, Physics or Data Science or related disciplines, with a qualification equivalent to a UK BSc with Honours at 2:2 or higher. Evidence of knowledge of Mathematics and Programming should also be provided when the degree is not in Mathematics (i.e. transcript of degree programme or work experience). When a transcript is provided, the Mathematics and Programming grades should be equivalent to UK 60% or higher. Candidates may be interviewed prior to the offer decision. As well as: Two professional references – at least one must be from an academic referee. A completed application form.