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.
Mathematics is a fascinating and exciting subject. It is the language of modern business and commerce, engineering, science and technology and is as old as mankind. At Liverpool Hope, you will develop a passion and enthusiasm for mathematics and its applications. Mathematics encompasses many analytical and numerical methods that are used to solve scientific and industrial problems.
The MSc at Liverpool Hope has been designed to develop your analytical and problem solving skills, and has project work at its core. Mathematicians are needed in all areas of science and industry, and the skills they bring to those working environments can be invaluable.
You will have the chance to work on your own project with guidance and support from experts in their respective fields. You will learn the skills necessary to be an efficient mathematician in industry and in academia. As well as learning these skills, you will also be taught a variety of mathematical topics from the familiar such as numerical methods and mathematical modelling, to the perhaps more unfamiliar such as cyber security and fractal geometry.
Liverpool Hope MSc Psychology is designed as a conversion course and is accredited by the British Psychological Society. It offers graduates from other subjects the opportunity to start a new career in Psychology. In addition, the course is available to Psychology graduates who completed a Psychology degree which did not have accreditation from the British Psychological Society.
On successful completion of the course you will become eligible for Graduate Basis for Chartered Membership (GBC) with the British Psychological Society (BPS). GBC is the first step towards becoming a Chartered Psychologist. Eligibility to GBC is the prerequisite for entry onto postgraduate and professional training courses offered by the BPS.
The course covers the key topics of Psychology such as Biological Psychology, Cognitive Psychology, Social Psychology, Developmental Psychology and Personality and Individual Differences and underpins these topics with research carried out in the Department. It has a strong component of Research Methods and Statistics which enables the successful candidates to design and conduct research not only in Psychology but also in other areas of social sciences.
The course is taught at Liverpool Hope’s Psychology Department. The Department is research active with increasing strength in Cognitive Psychology. As a Masters student of Psychology you will be directly involved in ongoing research projects as part of your learning experience.
The course consists of four 30-credit taught modules and an individual research project leading to the Research Dissertation (60 credits).
Brain and Mind (30 credits): Brain and Mind covers the topics in Biological Psychology, Cognitive Psychology and Cognitive Neuroscience including history of these areas. This includes psychobiological and cognitive explanations to behaviour and communication, perception, attention, memory, learning, thinking and emotion.
Individual and Group (30 credits): Individual and Group includes Developmental Psychology, Social Psychology and Personality/ Individual Differences including history. The module makes students familiar with theories of the development of psychological processes in evolution and lifelong learning.
Research Methods and Data Analysis 1 (30 credits): This module provides a comprehensive overview of a diverse range of quantitative and qualitative research methods and the necessary practical skills required for their application.
Research Methods and Data Analysis 2 (30 credits): This module introduces students to more advanced quantitative and qualitative methods, and builds upon Research Methods and Data Analysis 1.
Research Dissertation (60 credits): The dissertation module allows students to develop their own research project, including planning, designing, execution and presentation of research findings at postgraduate level. You will produce a report or publishable quality and format under supervision of an experienced member of the Psychology team.
Robotics is on the cusp of an exciting new era as robots become more reactive, intelligent and human-like, as well as finding applications in a range of industries including consumer and healthcare robotics.
We are in the midst of an increase in the pace of technological change and the changes in the coming decade will be a magnitude of order greater than anything that has gone before. A paradigm shift is about to take place that will forever change society; our ability to manufacture novel robots and new artificial intelligence techniques will both change the way we interact with technology and will allow technology to interact with us and our world in a far more nuanced way.
This new MSc Robotics Engineering reflects recent software and hardware technological advances and exposes students to new, much sought-after skills and up-to-date areas of research. Recent technological advances are incorporated into the course by developing novel cross disciplinary approaches and subject areas such as Embedded Systems, Artificial Intelligence and Virtual Reality.
Robotics Engineering covers a wide range of specific topics such as:
The course will include an introduction to Robotics, covering topics such as actuators, sensors and mechatronics, with examples and categorization of robots (from mobile robots to robot arms and interactive robots); robotic applications including biomedical robotics (e.g. for minimally invasive surgery) and robotic rehabilitation, robotic hands (metamorphic hands, grasping and sensing) and industrial robotics; embedded systems and microcontrollers including the Internet of Things; the robot as a computational unit based on sensing, reasoning and action; Artificial Intelligence, navigation and machine learning. You will have the opportunity to develop the hardware and software for a robotic system.