Course Overview
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 resources and the impact we have on the environment to the strive to automate and optimize 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 a 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.
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 visualization, 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.
General Eligibility
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 Computer Science (i.e. transcript of a degree program 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.
Part Time Work Details
Language Requirement