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  • DeadlineStudy Details:

    MSc Part-time (Online Learing): 21-33 months

Course Description

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.

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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

Please see our website for funding opportunities

Student Destinations

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

Module 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.

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