Our MSc in Data Science aims to produce specialist data scientists with training in industry relevant data acquisition, storage, warehousing, analytics and visualisation tools and techniques and a good understanding of the needs of industry. The course will prepare graduates in technical disciplines for a career in the design and implementation use of computer-analytics and visualisation solutions for industry.
The course will focus on satisfying industry’s demand for data scientists who have the ability to:
- Apply appropriate data science tools and techniques to industry’s data in order to uncover important, previously unknown information only implicit in the data.
- Relate a company’s key performance indicators to a data science problem area in order to focus a data science task.
- Handle large amounts of real-time, non-persistent, data.
- Contribute to business decision-making by effectively communicating (potentially large volumes of) key data visually.
- Understand, clean up, summarise, interpret and manage data.
- Grasp key knowledge about new problem areas in order to communicate with end-users; understand key business needs and processes and identify added value through data analytics.
- Provide user-centred data analytics at an appropriate level.
- Protect and share data as appropriate.
The course will emphasise Big Data, covering not only traditional data management systems but also systems where data and/or its storage is unstructured.
See the website http://www.rgu.ac.uk/computing/study-options/postgraduate-taught-full-time/msc-data-science
How you will learn
Throughout the course, content is complemented by practical work, allowing you to support your theoretical knowledge with practical experience in data storage, mining, warehousing, visualisation and analysis as well as transferrable skills. You will be taught through a mixture of lectures, tutorials, labs. You will be invited to attend talks presented by highly-experienced researchers, speakers from industry, and members of the BCS (British Computer Society) on a wide range of industry-related topics. You will also be supported through our online virtual learning environment where you can access a wide variety of resources and other support materials.
The individual project provides an opportunity for applying specialist knowledge together with analytic, problem-solving, managerial and communication skills to a particular area of interest within data science. Working with the full support and guidance of an allocated project supervisor, you will be given the opportunity to propose, plan, specify, develop, evaluate, and present a substantial project.
Placements and accreditation
Students who perform particularly well during their first semester of studies will be invited to apply for a 45-week internship.
The course prepares you for a career in Data Science. Job openings include: Data Scientist, Data Analyst, Data Visualisation Specialist, Data Manager, Database Designer/Manager, Data Mining Expert and Big Data Scientist.
Aberdeen is home to many multinational oil and gas companies and associated suppliers such as mainstream software houses, IT providers to major oil-related companies, specialist software consultancies, and venture capital start-ups.
The university is involved in a number of commercial collaborations on a local, national and international scale with organisations such as BP, British Geological Survey, Wood Group PSN, Accenture, WIPRO and many Aberdeen-based software development companies.
The course also prepares students for research careers by providing the skills necessary of an effective researcher. Suitable MSc graduates may continue to PhD programmes within the school.
If you want to find out how to apply, click here - http://www.rgu.ac.uk/applyonline
The normal minimum entry requirements are an Honours Degree (2nd class or better) in a discipline with significant Computing, Mathematics or Statistics content. These requirements may be relaxed for applicants holding a qualification or industrial experience of equivalent standard. Where an applicant supports an application with alternative qualifications, the School may wish to arrange an interview to discuss the level of qualification offered. All international students, for whom English is not their first language, must provide evidence of linguistic ability, by gaining either IELTS 6.0 or its equivalent prior to receiving an unconditional offer of a place on the course.
Scottish/EU Students £3,400, Rest of UK Students £7,200, International Students £13,700