Data Science at Liverpool Hope University - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. These interactions are stored as data which can be mined to make better decisions, systems and 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 machine parts or airlines, or stocks and shares data; we are looking at data about people and the world 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 course is built around the strong skill base of experts in the Mathematics and Computer Science department and to illustrate how new technologies, cutting edge research and novel scientific perspectives can be used together to influence future society in significant and fundamental ways.

Modules

Data Science covers a wide range of specific topics such as: This course aims to equip postgraduate students with core skills in: Data Analytics, Numerical Methods, Theoretical Computer Science, Programming and Applied Computer Science. The students will then undertake a selection of courses such as: Big Data & Cloud Computing, Artificial Intelligence, Internet of Things, Mobile Computing and High Performance Computing.

Assessment method

Assessment is through a mixture of coursework and examination. The ethos within the Department is to foster enthusiasm for Computer Science and so assessment is largely through project work, giving you the opportunity to explore the subject area and focus on those specific topics that capture your interest. The project entails research and innovation as well as practical industrial applications of the ideas developed during the programme of study.


Entry requirements

Normally a First Class or Upper Second Class Honours Degree in Data Science, Computer Science, Computing, Science, or engineering-based discipline. Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) may be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.56.5 overall score with no individual score lower than 6.0

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please note, some of our courses may have additional costs. Please visit the course webpage for further information.
Data Science at Liverpool Hope University - UCAS