MSc Data Science

Postgraduate, Part-time

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

  • Napier code:

    56750MM

  • Course type:

    Part-time

  • Duration:

    20 months

  • Award:

    MSc

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Course introduction

This course 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.

It is a flexible part-time programme aimed at existing professionals, providing a framework that allows you to focus on the particular requirements of your own organisation and your individual professional development needs.  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.

Edinburgh Napier University has excellent research and knowledge transfer links with many local, national and international organisations in data science related areas.


software engineering

You'll 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.

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.

Three on-campus modules (one per trimester)

(Overall, you’ll attend campus an average of one day per month during term time)

  • 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-Taught modules *£570 *£570
All students-Dissertation £1,080 £1,080
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Full MSc cost £4,500 £4,500
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 from taught modules and a dissertation. The total fee you will pay is dependant upon the exit award you wish to achieve.

Frequently Asked Questions about Fees
Information of Bursaries and Scholarships

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.