MSc Data Engineering

Postgraduate, Online learning

Data Engineering MSc

Learn to use and combine data engineering skills to become a data-oriented software solution developer.


Data engineering is a major growth area within both the commercial and public sectors, and there is a recognised shortage of professionals that have the required range of Data Engineering knowledge and skills. This online MSc Data Engineering programme addresses this shortage.

The programme is aimed at graduates and practitioners with a background in business, quantitative science, or computing who wish to develop into effective Data Engineers with the business understandings and analytical, statistical, and computing skills to contribute to this vital area for contemporary commercial and public sectors.

Edinburgh Napier University has excellent research and knowledge transfer links with many local, national and international organisations in Data Engineering related areas. This will give candidates the best possible chance at securing one of the many available data engineering jobs.

The acquisition of knowledge and skills on the programme will give students a critical understanding of the tools and technologies involved in the analysis, design, development, testing, evaluation and modification of Data Engineering solution; enable them to select and evaluate appropriate tools for the collection, processing and presentation of complex and diverse data sets, and critically review an organisation’s data needs and make appropriate and measurable recommendations on the use of Data Engineering techniques.

If you are a junior data engineer looking to move into a more senior role, or someone who wants to become a data engineer from a different profession, this course is for you.

Delivered online (part-time), this MSc is ideally suited to individuals who intend to balance their personal and professional commitments with their studies.

This programme was developed and in partnership with and partially financed by The DataLab. There are limited scholarships available for eligible students resident in Scotland, contact the Programme Leader to find out more.

The Data Lab logo

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Mode of Study:

Online learning Part-time


21-33 months

Start date:


About you
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Aaron Duffus

“Edinburgh Napier strikes a good balance between lecture time and students’ social resources on this course”

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Course details

You will study the software engineering process in both creating and working with large and complex data sets, acquiring the knowledge and experience of tools and techniques that are necessary to be a successful Data Engineer in a range of environments. The focus of the programme is on the practical application of these skills and tools, with the underpinning theories used within this context. 

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. 

The programme will benefit people wanting either to change career and start working in data solution development, or to upskill from being a software engineer or data scientist to the combined role of Data Engineer. As the programme is paced to suit the learner, the MSc in Data Engineering will also support learners coming back to education. 

Your final dissertation project will allow you to use the tools and approaches you have developed during 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

  • Data Management and Processing
  • Database Systems
  • Business Intelligence and Reporting for Enterprises
  • Data Wrangling
  • Data-Driven Decision Making
  • Information Systems Engineering
  • Master's Dissertation (60 credits)

The Master's Dissertation is studied over two trimesters following successful completion of all other modules.

For the award of MSc Data Engineering, you must successfully pass all seven modules, giving a total of 180 credits. All modules are 20 credits, except where otherwise indicated.

If there is any question regarding the authorship of any submitted assessments, we reserve the right to require students to undertake an online viva.

  • calendar How you’ll be taught This course is delivered fully online and will take between 21 – 33 months to complete, subject to your pace of study and module availability. You’ll study seven modules in total, with a maximum of two modules at a time over each trimester.


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

Placement and study abroad opportunities are subject to UK and Scottish Government health and travel advice.

Full information is available in our disclaimer.

Entry requirements

Entry requirements

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. We may also consider lesser qualifications if you have sufficient professional work experience within the industry.

There will also be a selection interview for this course. Competition for places varies from year-to-year and achievement of the typical minimum entry requirements does not always guarantee shortlisting for interview or a place on the course.

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.

International students

We welcome applications from students studying a wide range of international qualifications.
Entry requirements by country

Please note that international students are unable to enrol onto the following courses:
  • BN Nursing/MSc Nursing (Pre-registration) (Adult or Mental Health)
  • BM Midwifery/MM Midwifery

Admissions policies

We’re committed to admitting students who have the potential to succeed and benefit from our programmes of study. 

Our admissions policies will help you understand our admissions procedures, and how we use the information you provide us in your application to inform the decisions we make.

Undergraduate admissions policies
Postgraduate admissions policies

Get in touch with your local representative

We have trusted representatives in key locations who offer guidance and advice about our Global Online programmes.

Fees & funding

The course fees you'll pay and the funding available to you will depend on a number of factors including your nationality, location, personal circumstances and the course you are studying. We also have a number of bursaries and scholarships available to our students.

Tuition fees
All Students 2019/20 2020/21
All students *£770 *£770
Modules are purchased via our online store and paid for in full at time of enrollment. Rate shown above is for 20 credits*; as course comprises 180 credits, total cost is currently £6,930

Please note tuition fees are subject to an annual review and may increase from one year to the next.
For more information on this and other Tuition Fee matters please see Frequently Asked Questions about Fees

Click this link for Information of Bursaries and Scholarships

Online Masters

We run a suite of online Degree and Masters courses for students looking to learn new skills and professionals looking to advance their careers.


Participation in this course will support your aspirations either to change career or start work in the area of Data Engineering.

So what does a data engineer do? Upon graduating form our Data Engineering courses you’ll be able to work in a variety of positions, including:

  • Machine Learning Engineer
  • Big Data Engineer
  • Data Scientist
  • Data Modelling
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