Taught course

Data Science

Institution
Robert Gordon University · School of Creative and Cultural Business
Qualifications
MScPGDipPGCert

Entry requirements

Applicants normally hold a 2:2 undergraduate honours degree or its equivalent in Mathematics, Statistics, Computing or any other analytical discipline.
Applicants with a lower degree classification and / or relevant work experience will be considered on a case by case basis.
International students who do not meet our direct entry requirements for this course can gain additional entry points through our International College at Robert Gordon University.

Months of entry

September

Course content

The opportunity to exploit Big Data is recognised world-wide and some countries include it in their economic strategies. The UK Government identified Big Data as one of the 8 great technologies which will have a strong impact on growth and the Scottish Government highlights it as an emerging opportunity for Scotland. 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.

Information for international students

Postgraduate courses normally require an IELTS score of 6.5 with a minimum of 5.5 in all 4 components. Some of our courses require a different level of English. Please check our course pages for specific details. Test reports are valid for a period of 2 years and can be used as proof of English for admission if valid on the start date of your course.

Fees and funding

UK students
£1,000 for optional long placement £320 for optional short placement, Scottish/EU Students, £5,500 for the entire MSc course, Rest of UK Students Full-time £6,750 for the entire MSc course.
International students
£1,000 for optional long placement £320 for optional short placement, £13,200 for the entire MSc course.

For more information, visit http://www.rgu.ac.uk/future-students/finance-and-scholarships/finance-and-scholarships

Qualification and course duration

MSc

full time
12 months
part time
24-26 months

PGDip

full time
8 months

PGCert

full time
4 months

Course contact details

Name
Computing Science & Digital Media CSDM
Email
CSDM-MSc-enquiry@rgu.ac.uk
Phone
44 (0) 1224 262737