23Nov
PostgraduateCourse summary
What revelations hide in social media, online reviews, mobile applications or Internet of Things (IoT) sensor data? Our MSc Data Science & Artificial intelligence unlocks the theories, skills and tools you need to uncover hidden patterns, correlations and trends. As a recent graduate of a STEM discipline or IT industry career changer, you’ll become a data specialist on this course. Data scientists and analysts work in a changing and evolving technology landscape. You need imagination and creativity to come up with novel ways to answer questions. We’ll teach you to assess new and advanced solutions then adapt them as you process, analyse and make sense of big and complex data. Study visualisation, modelling, and the foundations of artificial intelligence and machine learning algorithms. Assess issues presented by big data in different situations. Learn essential methods, practices, and theories. Study relevant computational techniques. You’ll develop the skills and confidence you need to succeed with our Masters in data science & artificial intelligence. Please note, there is an intake to the 12-month full-time route each September and 16-month full-time route each January. The 16-month full-time route includes the UK summer break between semesters. The part-time route takes 2-3 years to complete and typically has intakes in both September and January. What you'll study Artificial intelligence methods. Data mining. Virtual reality. Practical maths. Our Masters programme gives you the full skillset and experience you need to become a data scientist or analyst. Become an expert in choosing the right tools and methods for a specific task. Study the tools and techniques for advanced analytics. Get a deep understanding of the ideas and theories behind different algorithmic artificial intelligence approaches. Learn to handle, manage, process, and analyse different kinds of data in different ways. Help people make sense of big data sets. Learn the latest ways to share your results using graphs, pictures, and virtual reality. Explore what’s new in computing and judge its usefulness for data analysis while assessing its ethical impact. Put your knowledge into practice as you get creative to solve big data problems.
Assessment method
Your vocational capability, academic critical thinking and intellectual development will be assessed throughout the course. This is achieved through a combination of coursework, case studies, problem-solving exercises, and examinations. You may be assessed individually or as part of a group.
Entry requirements
You should have a degree equivalent to UK first-class or second-class honours (2:2 or above) in a STEM discipline. This includes subjects such as computer science, computing, engineering, mathematics, science, or technology. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Visit edgehill.ac.uk/moneymatters for more information.
Provider information
Edge Hill University
St Helens Road
Ormskirk
L39 4QP