Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc Distance Learning: 24-33 months
Develop data science skills and knowledge by building on existing expertise to drive the data science capability within your organisation
Data science is a major growth area within both the commercial and public sectors and there is a shortage of professionals that have the required range of data science knowledge and skills. This work-based learning MSc Data Science programme addresses this shortage.
The programme is aimed at those working in a data-related role within their organisation, whether in a technical, software or business context and want to enhance their skills and understanding of contemporary data analysis tools and techniques.
Edinburgh Napier University has excellent research and knowledge transfer links with many local, national and international organisations in data science related areas.
The acquisition of knowledge and skills on the programme will enable students to drive improvements within their organisations, enabling them to focus on areas of specialisation within their professional field and to broaden their knowledge and skills to enhance their career development.
Delivered online (part-time), this MSc is ideally suited to individuals who intend to balance their personal and professional commitments and study while working.
The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above in an appropriate field, for example, software development, computing, or business analytics. Alternatively, other qualifications or experience that demonstrate through our recognition of prior learning process that you have appropriate knowledge and skills at SCQF level 10 may be considered.
Applicants will be expected to be working in a role related to data analytics, whether in a technical or business context and will be required to provide a letter of support from their employer. Some experience of associated technologies such as databases, software development and related tools is assumed.
To succeed on our Global Online degrees you must have access via computer or laptop to view and download written and video content. You will also need basic IT skills that enable you to write and edit document, send and receive email, find your way around our online learning environment and search for and access online learning resources, download files and use online forums.
This course has academic entry requirements which are assessed alongside relevant work experience. Full details of any relevant work experience, including references should be submitted with your application and may be considered for entry where the minimum academic entry requirements are below those required.
Usually, unrelated work experience is not considered sufficient for entry without meeting the minimum academic entry requirements. Please contact us with your specific circumstances by submitting an enquiry form above and we will be happy to discuss your options.
If you want to get more information on the admission process, please get in touch with the postgraduate admissions team by submitting an enquiry form.
For fees and funding options, please visit website to find out more
Please see our website for funding opportunities
Participation in this course will indicate your aspirations as a leading Data Scientist and your dedication to your management, enhancing your chances of promotion.
You will develop the business understanding and analytical, statistical and computing skills required to contribute to this vital field. Linking learning and development to your work activities, you can ensure that your professional development is part of the strategic plan of your organisation to promote innovation and change.
Learning, teaching and assessment methods focus on providing students with engaging and contemporary materials that link theory to practice and require students to take a critical perspective on both.
By linking learning and development directly to work activities, students can ensure that their professional development is part of the strategic aims of the organisation.
Students will also have the opportunity to consider and reflect on established views of the organisation and processes relating to data science, in order to promote innovation and change.
Your final dissertation project will allow you to use the tools and approaches you’ve developed on the course.
You can pay for this course flexibly on a module-by-module basis. This means that you don't have to pay the full course cost upfront.
What you study:
For the award of MSc Data Science you must successfully pass all five modules, giving a total of 180 credits. All modules are 20 credits, except where indicated.
To allow you to settle in to the programme and to have some underpinning to base the Advanced Professional Practice module on, you will initially study one module (the 20 credit module available in the trimester you start). After this first module, the programme leader will then discuss and agree with you the next module(s) to select. Depending on this discussion, the minimum duration may be longer than 24 months.
Within each trimester, whilst there is flexibility to work through the material at your own pace you need to be aware of the assessment dates as there is no flexibility in these.
If there is any question regarding the authorship of any submitted assessments, we reserve the right to require students to undertake an online viva.
Whether you want to move up in your career, or onto a new one, our innovative, industry-focused postgraduate courses can give you the skills you need ...
