Computer Scientists are in more demand today than ever before due to the increasing reliance on Computer Systems and Software, this is further compounded with the continual introduction of cutting edge and new technologies. Therefore, an advanced master degree in Computer Science will make you highly employable, having developed practical skills in computing systems and software development. You will be ideally placed to gain employment in a wide range of high-demand jobs including software engineering, systems development and other related fields. This course aims to equip postgraduate students with core skills in: Data Analytics, Numerical Methods, Theoretical Computer Science, Programming and Applied Computer Science. In addition, students will also undertake a selection of courses such as: Data Communications, Cyber Security, Artificial Intelligence, Internet of Things, High Performance Computing, Advances in Computer Science, Visualisation, Virtual Reality and Augmented Reality
Almost every communication or interaction that takes place in the world today involves a digital interface, whether this is a computer, a laptop, a mobile phone, a smartcard, a camera or a sensor. All of the information form these myriad of these interactions is stored as data. All of this data can be mined to make better decisions, to make better systems, to do better research.
Recent advances in computational power, machine intelligence and the massive growth of sources of data has led to the development of a new area study: Data Science.
We are no longer looking at data about machine parts or airlines, or stocks and shares; we are looking at data about people and the word they inhabit. Jake Porway (Executive Director of DataKind) says: “A data scientist is a rare hybrid, a computer scientist with the programming abilities to build software to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. S/he combines the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data and what secrets it”. This programme is designed for such people.
This Data Science (DS) MSc programme is the evolution of the MSc Advanced Computer Science and is built around the strong skill base of experts in the Mathematics and Computer Science department. The programme has been built illustrate how new technologies, cutting edge research and novel scientific perspectives can be used together to influence future society in significant and fundamental ways.
The Education (Interdisciplinary Studies) block is designed for practising teachers, educators and others with a personal or professional interest in the field of education. The block aims to provide opportunities for engagement with the key theories, concepts and ideas in education.
This block is part of the ‘Interdisciplinary Studies in Education’ suite of research-informed Masters provision. It offers each student a choice of awards that means they can tailor the available provision to their own research interests.
By studying at Liverpool Hope University, you will be joining an academic community with a strong record in educational research. You will study in a supportive learning environment and be encouraged to develop your own research profile.
Our Education block must be combined with one of the following blocks:
Pedagogy is not available to study alongside Education (Interdisciplinary Studies).