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MSc Data Science

  • DeadlineStudy Details:

    MSc Distance Learning: 24-33 months

Course Description

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.

Entry Requirements

What are the entry requirements for Data Science?

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.

Can I get admission into Data Science based on my working experience in this sector?

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.

Can I make an appointment with an advisor to discuss further about the admission process?

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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

Please see our website for funding opportunities

Student Destinations

Participation in this course will indicate your aspirations as a leading Data Scientist and your dedication to your management, enhancing your chances of promotion.

Module Details

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

Modules
Data Analytcis
Data Driven Decision Making
Data Wrangling
Advanced Professional Practice
Dissertation

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