Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc Part-time (Online Learing): 21-33 months
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.
What are the entry requirements for Business Information Technologies?
The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above, or equivalent. We look for applicants to have a background in any discipline in order to be eligible for the programme.
Can I make an appointment with an advisor to discuss further about the admission process?
If you want to get more information on the admission process, please get in touch with the postgraduate admissions team by submitting an enquiry form.
For fees and funding options, please visit website to find out more
Please see our website for funding opportunities
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
This course will teach you about information system management and development in organisations.
You will learn how to design and implement information systems solutions, allowing you to gain an overview of the importance of systems to organisations as well as gain the technical and communication skills which the industry values.
The course focusses on how systems work, how the requirements for them are established and how they are designed and developed.
Modules
Business Intelligence and Reporting for Enterprises
Digital Business Environments
Knowledge Management
Management of Software Projects
Masters Dissertation
Security Audit & Compliance
Strategic Information Systems Management
At Edinburgh Napier University, research students work alongside world-class academics, carrying out research that will make a real impact on society...
