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University of Dundee

Data Engineering (MSc)

This course will give you the skills you'll need to succeed as a Data Engineer or Data Scientist, taking you from techniques to handle Big Data through to analysing and visualising this data to give meaningful insights.

Entry requirements

Applicants should normally have an Honours degree at 2.1 level or above in computing or a related subject. All prospective students need to undergo a technical interview to ensure they have the necessary background knowledge, including Mathematics, to undertake the course. Please check our website for English language requirements.

Course modules

Introduction to data mining and machine learning part 1; programming languages for data engineering part 1; big data; computer vision; introduction to data mining and machine learning part 2; programming languages for data engineering part 2; business intelligence systems; transactional database systems; research methods; research project with optional industrial collaboration; cap theorem; Lamda architecture; Cassandra, neo4j and other Nosql databases; the storm distributed real time computation system; Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies; spark and shark frameworks; data engineering languages such as python, erlang, R, Matlab; vision systems, which are becoming increasingly important in data engineering for extracting features from large quantities of images such as from traffic, medical and industrial; RDBMS systems which will continue to play an important role in data handing and storage. you will be expected to research the history of RDMBs and delve in to the internals of modern systems; OLAP cubes and business intelligence systems, which can be the best and quickest way to extract information from data stores; goals of machine learning and data mining; clustering: k-means, mixture models, hierarchical; dimensionality reduction and visualisation; inference: bayes, MCMC; perceptrons, logistic regression, neural networks; max-margin methods (SVMs); mining association rules; Bayesian networks.

Assessment methods

Combination of examinations, coursework, presentations and interviews.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2016 GBP 5,500 per Year 1 (England) 12 months
MSc Full-time September 2016 GBP 15,950 per Year 1 (International) 12 months
MSc Full-time September 2016 GBP 5,500 per Year 1 (Northern Ireland) 12 months
MSc Full-time September 2016 GBP 5,500 per Year 1 (Scotland) 12 months
MSc Full-time September 2016 GBP 5,500 per Year 1 (Wales) 12 months
MSc Full-time September 2016 GBP 5,500 per Year 1 (EU) 12 months
MSc Full-time September 2017 - 12 months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Dundee City Campus Dundee DD1 4HN Scotland

Get in touch

Remember to mention TARGETpostgrad when contacting universities.

Key information

Contact: 
Postgraduate Admissions
Telephone number: 
01382 383838