Data Analytics MSc
Explore the opportunities of the data-driven world on this MSc Data Analytics conversion course, designed for graduates from other subject areas. Develop your skills and expertise for a range of rewarding careers such as data scientist, data analyst and data engineer across a variety of sectors.
Overview
| Course length: | 1 year full-time 2 years part-time |
|---|---|
| Start dates: | September 2024 September 2025 |
| Location: | Edge Hill University |
| Subject(s): | Computing and IT |
| Faculty: | Arts and Sciences |
| Department: | Computer Science |
Many jobs have a digital element, and it is predicted that within 20 years 90% of all jobs will require some aspect of digital skills. Ensure you are well-prepared for the challenges of the data-driven world by studying our MSc Data Analytics conversion programme.
If your undergraduate degree is in a non-STEM subject then this data analytics conversion course could be for you. Discover techniques and methods applicable to analysis, extraction and assessment of actionable information from a multitude of data sets. The rapid expansion of the digital environment has increased the opportunity for data-driven innovation, but also the dangers of it. Being able to understand and anticipate developments in the manipulation and use of data will result in a workforce with a diverse skillset that ranges over computational, statistical and methodological approaches.
Develop strong problem-solving and critical-thinking skills, allowing you to approach challenges methodically and devise innovative solutions using data-driven approaches. Discover flexible and scalable approaches to address the significant challenges within industry raised by the continuous creation of real-time data from sensors, devices, video, audio, and social media.
Real world case studies are embedded in several key modules spread throughout the curriculum, allowing you to apply your skills in solving problems that reflect ‘real’ conditions. You will develop a detailed understanding of the legal frameworks governing data privacy and security, allowing you to work to the highest professional and ethical standards. Apply your knowledge to a wide range of professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, as well as humanities.
You will have access to cutting-edge facilities and resources, including advanced computer labs equipped with the latest software tools used in data analysis and machine learning. You will gain hands-on experience with the tools and technologies that are relevant in today’s data-driven industries.
Course features
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International students can apply
What you'll study
You will study a comprehensive curriculum designed to equip you with a strong foundation in data science. The program covers a wide range of topics including programming, statistics, machine learning, data visualization, and ethical considerations, ensuring that you are well-prepared for the challenges of the data-driven world.
How you'll study
You’ll be taught through a combination of lectures, seminars and tutorials in this data analytics Masters degree. Classes will be highly interactive with a focus on the practical application of concepts and the use of case studies drawn from real life. An emphasis on small groups ensures that you will have plenty of opportunities for individual discussions with your tutors.
The full-time programme typically consists of eight taught hours per week.
There is typically 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.
How you'll be assessed
We will assess your vocational capability, academic critical thinking and intellectual development throughout the programme. Coursework, case studies, exams and problem-solving exercises may be used. You may be assessed individually or in a group.
Who will be teaching you
You will benefit from a wide range of expertise in areas such as artificial intelligence, data science, data analytics and visualisation, machine learning and deep learning, cloud/edge/distributed computing, natural language processing, computer vision, the Internet of Things, and smart devices.
Entry criteria
Entry requirements
A degree equivalent to UK first-class or second-class honours (2:2 or above) in a non-STEM related subject.
English language requirements
International students require IELTS 6.5, with a score no lower than 6.0 in each individual component, or an equivalent English language qualification.
If your current level of English is half a band, one band, or one-and-a-half bands lower, either overall or in one or two elements, you may want to consider our Pre-Sessional English course.
How to apply
This course has an online application process. Please continue to check this page for further information.
Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at www.edgehill.ac.uk/studentterms.
There’s plenty of opportunities to come take a look around campus. Attend one of our open days to see what life at Edge Hill University is all about.
Book an open day
Facilities
The Department of Computer Science is based in the state-of-the-art £13million Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science and
Engineering students. Our modern computing and engineering laboratories are equipped with comprehensive test and measurement equipment, high-specification computers, high-resolution screens and the latest hardware and software.
A four-screen CAVE (Computer Augmented Virtual Environment) provides a super immersive 3D virtual environment, enabling users to immerse themselves in a virtual room and experience real life scenarios in 4K resolution. There are also specialist laboratories for networking and games programming, in addition to a specialist research laboratory, open access laboratory, a Harvard style lecture theatre, and ‘The Hatchery’, a working space for new business ideas.
Where you'll study
Tech Hub
Learning resources
Learning resources include robots and a robotics simulator, wired and wireless networking hardware, graphics software, web development tools, software development environments, big data servers, eye trackers, giant 3D interactive teaching screens, and other specialist software required for studying forensics and internet security techniques.
Finance
Tuition fees
UK Full-Time
£9,000
for the course
UK Part-Time
£50 per credit
for 60 credits
International
£16,500
for the course
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.
Financial support
Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students joining postgraduate courses at Edge Hill University.
Please see our international student finance pages for financial support information for international students.
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals can ordinarily apply to Student Universal Support Ireland (SUSI). Please see our EU student finance page for further details.
Your future career
You’ll develop the skills and knowledge you need for a career in data science with our MSc Applied Data Analytics. Apply for roles like data scientist, data analyst, big data developer or data engineer. Many industries are looking for graduates with these skills, including:
- banking and finance
- healthcare and pharmaceutical
- telecommunications
- internet and online sales
- energy
- cars and transport
These areas of expertise can be applied in a range of professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, as well as humanities.
If industry doesn’t appeal to you, you could create your own start up or study to PhD level like previous graduates.
