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  • DeadlineStudy Details: 21-33 months Part Time

Masters Degree Description

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.

The DataLab will fund a limited number of places for applicants normally resident in Scotland joining the programme in May. These scholarships will be competitively awarded, and will cover the programme fees.

 

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.

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 Engineering 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.

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Fees

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Programme Funding

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Student Destinations

In an era driven by data, the ability to harness and manipulate information is essential for driving innovation and making informed decisions. Our programme offers a deep dive into the world of data engineering, equipping you with the skills and knowledge needed to design and implement robust data infrastructure and systems. Participation in this course will support your aspirations either to change career or start work in the area of Data Engineering. 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

Throughout the course, you'll explore a wide range of topics, from data management and processing to business intelligence and reporting for enterprises. Through hands-on projects and real-world case studies, you'll gain practical experience working with large-scale datasets and cutting-edge technologies, preparing you to tackle the complex challenges of data engineering.

Upon completion of the program, you'll emerge as a skilled and adaptable data engineer, ready to leverage the power of data to drive business success and societal impact. Whether you aspire to work in data-driven organizations, research institutions, or tech startups, our MSc in Data Engineering will provide you with the expertise and confidence to excel in the rapidly evolving field of data engineering.

Module Details

  • Data Management and Processing
  • Data-Driven Decision Making
  • Business Intelligence and Reporting for Enterprises
  • Data Wrangling
  • Database Systems
  • Data Analytics
  • 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.

Within each trimester, whilst there is flexibility to work through the material at your own pace you need to be aware of the assessment dates as there is no flexibility in these.

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

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