MSc Data Engineering
Overview
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.
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.
Delivered online (part-time), this MSc is ideally suited to individuals who intend to balance their personal and professional commitments with their studies. 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.
Earn a world class MSc Data for under $10,000.
| Modules (ALL COMPULSORY) | ||
|---|---|---|
| Trimester 1 (15 weeks) | Trimester 2 (15 weeks) | Trimester 3 (15 weeks) |
| Data Management and Processing
20 Credits |
Business Intelligence and Reporting for Enterprises
20 Credits |
Data-Driven Decision Making
20 Credits |
| Database Systems
20 Credits |
Data Wrangling
20 Credits |
Information Systems Engineering
20 Credits |
| Trimesters 4 and 5 (15 weeks – 30 weeks) | ||
| MSc Dissertation
60 Credits |
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Learn more about our Virtual Learning Environment here
MODULE OVERVIEW
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Data-Driven Decision Making
The aim of the module is to enable you develop a deep understanding of the business context and impact of data, the meaning of the data (including in terms of statistics), and to give you an opportunity to express this in the form of professional written reports.
Topics covered include: The role of the data scientist; Data strategy and Key Performance Indicators (KPIs); Deployment and implementation; Governance, ethical and cultural implications; Exploring and describing data; Statistical inference – parametric methods t-tests and Analysis of Variance Statistical presentation of data; Multivariate methods – principal component analysis, exploratory factor analysis and segmentation methods (Hierarchical clustering, K means and K modes); Statistical modelling – OLS regression, general linear models exemplified by Binary Logistic models; Diagnosing model fits.
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Database Systems
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Business Intelligence and Reporting for Enterprises
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Data Wrangling
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Data Management and Processing
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Information Systems Engineering
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Dissertation
Assessment
- Assessments are completed and submitted through the secure learning environment. The schedule for Assessments is published in advance. There are no formal exams – assessments is by end of unit quizzes and end of module assignments.
Duration
- The MSc Data Engineering comprises of six modules and a dissertation to a timescale that matches your requirements, but can be completed in 21-33 months minimum/4 years max.
Admissions Criteria
- 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 may be considered.
