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.
Months of entry
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.
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.
Work based learning (Advanced Professional Practive 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.
Your final project will allow you to use the tools and approaches you’ve developed on the course.
Participation in this course will indicate your aspirations as a leading Data Scientist and your dedication to your management, enhancing your chances of promotion.
Study modules mentioned above are indicative only. Some changes may occur between now and the time that you study.
Information for international students
For applications whose first language is not English, the following is generally required: minimum IELTS 6.0, with no individual component score of less than 5.5 or equivalent. We also offer a range of pre-sessional English language courses to help you meet the English language requirement prior to starting your masters programme. Please see our website for up-to-date information.
Fees and funding
Please see our website for up-to-date information about fee and funding and what you could be eligible for.
We have lots of funding options available such as the postgraduate tuition fee loan for Scottish & EU students, specifics scholarships for students from North or South America, Asia and Africa, as well as bursaries & grants for those closer to home in England, Northern Ireland and Wales.
Qualification and course duration
Course contact details
- Admissions Office
- +44 (0) 333 900 60 40