MSc Data Science

Postgraduate, Distance Learning

Develop your Data Science related skills and knowledge - building on existing expertise, and driving forward the Data Science capability within your organisation.

  • Napier code:

    56751MM

  • Course type:

    Distance Learning

  • Duration:

    2 years

  • Award:

    MSc

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Course introduction

This programme is appropriate for you if you are working in a data-related role within your organisation, whether in a technical, software or business context and you want to enhance your skills and understanding of contemporary data analysis tools and techniques.

Data science is a major growth area within both the commercial and public sectorsand 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 will enable practitioners with a background in business, quantitative science, or computing to develop into effective data scientists with the business understandings and analytical, statistical and computing skills to contribute to this vital field. Edinburgh Napier University has excellent research and knowledge transfer links with many local, national and international organisations in data science related areas. The programme that focuses on the particular requirements of your organisation and your own professional development needs in the area of Data Science.

The acquisition of knowledge and skills on the programme will enable students to drive improvements within their organisations. The programme also enables students to focus on areas of specialisation within their professional field and to broaden their knowledge and skills to enhance their career development.
 




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.

What you'll study

Work based learning (Advanced Professional Practice Module)

You’ll be mentored and supported by a dedicated team with both academic and industry experience to deliver a package of Data Science related work over three trimesters drawing on your current projects/activities in your workplace. Your employer is required to provide support, and to give permission for you to use for academic credit purposes a project (or series of related projects) within your workplace, which are part of your planned work activity and undertaken during normal working hours.

Three modules (one per trimester)

  • Data Driven Decision making
  • Data Analytics
  • Data Wrangling

Software and technologies used will include packages such as: R, Python, Hadoop, Weka, Tableau.

MSc Dissertation

Your final project will allow you to use the tools and approaches you’ve developed on the course.


Study modules mentioned above are indicative only. Some changes may occur between now and the time that you study.

Full information on this is available in our disclaimer.

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


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.

English language requirements

If your first language isn't English, you'll normally need to undertake an approved English language test and our minimum English language requirements will apply.

This may not apply if you have completed all your school qualifications in English, or your undergraduate degree was taught and examined in English (within two years of starting your postgraduate course). Check our country pages to find out if this applies to you.

Our entry requirements indicate the minimum qualifications with which we normally accept students. Competition for places varies from year to year and you aren't guaranteed a place if you meet the minimum qualifications.

International students

If your qualifications aren't listed above, visit our country pages to get entry requirements for your country.

Please note that non-EU international students are unable to enrol on our nursing courses.

Admissions policies

We are committed to being as accessible as possible to anyone who wants to achieve higher education.

Our admissions policies will help you understand our admissions procedures and how decisions are made.


Tuition fees
Students from 2016/17 2017/18
All Students* *£770 *£770
Fees for modules are calculated according to the number of credits (multiples of 20). The rate shown in the table is for 20 credits*.
This course comprises of 180 credits, therefore the total cost is currently £6,930.
Modules are purchased via our online store and paid for in full at time of enrollment.

Executive Masters

This forms part of a suite of Executive Masters courses for organisations looking to upskill their staff and professionals looking to develop new skills and advance their career.