Course fees (2018/19 entry)
|Option / fee||Value|
|Home/EU full-time annual tuition fee:||£7,050|
|Home/EU part-time tuition fee:||N/A|
|International full time annual tuition fee:||£14,450|
About your course
New to LJMU, this cutting edge programme aims to train scientists, engineers and mathematicians in the new field of Data Science. It combines lectures, hands-on practical experience and an extended research project, delivered by experts from two university departments.
- Study a ground-breaking curriculum linked to industry needs
- Use industry standard tools and methodologies
- Undertake an extended project using real world data science problems
- Learn from academics who are world-leading researchers
- Use the programme as a basis for PhD study
The friendliness and expertise of the academics are what prompted me to study at LJMU, combined with the access to world-leading data from facilities like the Liverpool Telescope.
Introduction to the School
The Astrophysics Research Institute combines world-leading research in astrophysics with excellence in teaching at all levels. The Department of Applied Mathematics is dedicated to producing research with real-world applications and also offers a student-centered teaching portfolio.
The Astrophysics Research Institute (ARI) has around 25 academic staff plus 10 post doctoral research assistants and 30 PhD students carrying out research in:
- Galaxy Evolution
- Star Formation
- Time Domain Astrophysics
- Astronomical Instrumentation
Annually, ARI researchers publish around 125 refereed papers co-authored with astronomers worldwide. ARI researchers collect and analyse large astronomical data sets collected across the electromagnetic spectrum from international premier observatories and satellites. It also builds some of the largest computer-based cosmological simulations of the structure of the universe.
The Applied Mathematics Department has been formally recognised for its high quality teaching, excellent resources and dedicated staff. The Department also boasts state-of-the-art facilities at its Byrom Street campus, with over 150 high performance computers and industry-standard software.
The Department's strong links with over 450 local and national organisations mean that all of its courses are designed and developed to suit the needs of today's employers, as well as creating excellent work placements for students. We currently have close ties with Clatterbridge, Eddie Stobart, National Grid, Experian and GE to name but a few.
Why study this course at LJMU?
Data Science is an emerging discipline that aims to extract unique insights by extending the field of statistics to incorporate advances in computing, particularly in relation to large quantities of data.
It is estimated that 90% of the world's data was created in the last two years and that each day, over 2.5 billion gigabytes of data is created. Between 2012 and 2017 the take up of big data analytics amongst large enterprises in the UK more than doubled from 14% to 29%. The number of big data specialist staff working in large firms is predicted to increase by 243% to approximately 69,000 employees.
The challenges in data science are multi-faceted and very complex in their nature, including handling the huge amount of data in incompatible legacy databases. By exploiting cloud computing services, data scientists are now relatively free from the constraints of hardware and can concentrate on applying their domain knowledge and experience to make sense of the data. They can apply advanced statistical techniques and machine learning algorithms to make informed decisions which can deliver a major impact on their organisations.
Programme outline and structure
The programme comprises six core modules covering statistical and computing techniques plus an extended research project.
This MSc is designed to give you the knowledge to move into the world of work as a qualified Data Scientist or to carry out further research through a PhD or equivalent. It is delivered via a combination of lectures, tutorials and and hands-on computer laboratory sessions.
A major component of the MSc programme is the research project module, which will give you the opportunity to work on a high-level original research topic, with guidance from an experienced researcher and supervisor.
What you will study on this degree
Subject to availability, the following modules will be offered on this programme.
- Introduction to Data Analytics
- Statistical Methods
- Data Mining
- Big Data Computing
- Big Data Analysis
- Research Methods
- Research Dissertation
How will I be assessed?
You will be assessed via a combination of exams, coursework and an extended report based on your dissertation project.
We recognise that all students perform differently depending on how they are assessed, which is why we use a combination of exam and coursework assessment methods for each module. Typically 50% of your mark comes from coursework and 50% from an exam, although some modules may be assessed entirely by coursework done in the computer lab.
Staff research interests
The research focus of both departments ensures that the curriculum is at the vanguard of development in the field and that you will study alongside leading experts.
Leading academics from both ARI and Applied Mathematics publish in peer-reviewed journals and speak at conferences around the world. Members of both departments are also actively engaged with funding and professional bodies, including the Institute of Mathematics and its Applications (IMA), the Science and Technologies Facilities Council (STFC) and the Royal Astronomical Society.
Staff in the Astrophysics Research Institute (ARI) are world-leading experts in many areas of astrophysics, including high performance computing simulations, the analysis of time series data from variable astrophysical objects such as Blazars and Supernovae, and the application of machine learning technologies for object classification. Some 99% of ARI research was ranked world-leading or internationally important in the 2014 REF.
Researchers from the Department of Applied Mathematics specialise in machine learning, mathematical biology and data science. Within these key areas, members from the Department undertake research with real-world applications. In Ref 2014 80% of our research impact was rated as being at international level. Currently, the Department is working with the European Commission's Health, Demographic Change and Wellbeing advisory group. This group is part of the Horizon 2020 programme and is one of the largest coordinated funding programmes for health in the world.
Entry requirements (Home)
You will need an Honours degree (minimum 2:2) in a numerate, scientific or computer-based subject. In addition you will need an A level, or equivalent, in Mathematics at Grade C or more.
Non-UK applicants will be expected to have demonstrated competence in English language equivalent to a minimum of IELTS 6.5 (6.0 each component). Applicants who have studied and successfully achieved a UK degree within 24 months of the start of the MSc are exempt from this requirement.
Industry experience: Please contact the Faculty Admissions team for more details.
Entry requirements (International)
LJMU welcomes applications from international students. You will need a good degree in a numerate, scientific or computer based subject.
In addition to normal entry requirements, you will be expected to demonstrate a very good level of English language competence. An overall IELTS score of 6.5 (, including 6.0 in each component), is required for this course.
Please note: specific courses may require higher levels of English language competence. If you have applied to study a full-time taught Masters, MRes, MPhil or PhD at LJMU, you should check if you require an Academic Technology Approval Scheme or ATAS certificate. It can take four to six weeks to receive an ATAS certificate, so please make sure you apply as early as possible. You can find out more on the British Foreign and Commonwealth Office (FCO) website. Alternatively, contact LJMU's International Admissions Team for guidance. Please note: international students entering on a Tier 4 visa cannot study part time. Students entering the UK on alternate types of visa may be in a position to study part time. Please contact LJMU's International Admissions Team for further details before making your application. In order to obtain a visa you will also need to show evidence that the money required to cover your tuition fees and living expenses has been in your bank account for at least 28 days prior to submitting your visa application. So please make sure that your finances are in place before applying. For more details, go to our international website.
For advice on any aspect of the application process, please contact LJMU's International Admissions Team.
Recognition of Prior Learning (RPL) Applications for RPL will not be accepted on this programme.
Please Note: All international qualifications are subject to a qualification equivalency check via NARIC.
All full and part-time students enrolled on postgraduate taught programmes at LJMU are liable to pay an annual tuition fee. You can opt to pay your tuition fees in full at the start of each academic year or pay by instalments. If you need advice about how you will pay your tuition fees, please email to LJMU's Student Funding Team as soon as possible.
All students enrolled on postgraduate taught programmes at LJMU are liable to pay an annual tuition fee. You can opt to pay your tuition fees in full at the start of each academic year or in instalments. If you need advice about how to pay your tuition fees, please email LJMU’s Student Funding Team.
There are many ways to fund postgraduate study for home and international students. From Postgraduate Masters Loans and Professional and Career Development Loans (PCDLs) to International Scholarships and subject-specific funding, you’ll find all of the information you need on our specialist postgraduate funding pages.
The Data Science MSc programme is particularly focussed on preparing you for a career in industry or for PhD level study.
Data science is a growing area of demand at both undergraduate and postgraduate level, with a predicted scarcity of expertise forecast over the next decade. LJMU has strong links with many graduate employers of data scientists who value the skills developed in the course such as accessing, manipulating and drawing insight from large volumes of complex data, assimilating information from the research literature, and scientific and technical writing.
The MSc provides the opportunity for you to plan and complete a substantial programme of original research at the highest level. We expect that many projects should have the potential to result in papers in refereed journals and serve as the starting point for PhD level work.
International applicants are required to demonstrate equivalent qualifications to the standard requirements for entry when applying for courses at LJMU.
Students must also demonstrate a proficiency in communicating through English, for example via an IELTS tests or equivalent.
Please note: UK visa restrictions mean that international students are only permitted to study on a full-time basis.
Please contact LJMU’s International Team by visiting www.ljmu.ac.uk/international for more information and advice.
LJMU has launched a range of generous international scholarships for students enrolling at the University.
These prestigious scholarships take the form of tuition fee waivers and are available for outstanding international students applying for taught postgraduate programmes and research degrees.
You will need to complete an additional application form in order to be considered for these scholarships. Full eligibility criteria and the online application form are available here: www.ljmu.ac.uk/international
Applications for these scholarships are welcomed from:
- new international applicants
- current LJMU international students hoping to progress onto postgraduate study at the University
- LJMU international alumni
The University may make changes to a programme of study or module where such changes are deemed to be beneficial to students, are minor in nature and unlikely to impact negatively upon students or become necessary due to circumstances beyond the control of the University.
Further guidance on programme changes