City, University of London

Software Engineering

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors. Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders. You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development. The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language. The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Course modules

There are five core modules: Advanced Database Technologies (15 credits); Research Methods and Professional Issues (15 credits); Service Oriented Architectures (15 credits); Software Systems Design (15 credits); and Advanced Programming: Concurrency (15 credits). You will be required to take three elective modules, choosing from the following: Advanced Algorithms and Data Structures (15 credits); Big Data (15 credits); Programming in C++ (15 credits); Business Engineering with ERP Solutions (15 credits); Mobile and Pervasive Computing (15 credits); Data Visualization (15 credits); or Cloud Computing (15 credits).

Assessment methods

Each module is assessed through a combination of coursework and examination.

Sponsorship information

UK/EU applicants - Computer Science Scholarships of £2,000; International Student Scholarships of £2,000; City, University of London Graduate Loyalty Discount of £2,500; OVisit our website for other scholarships, bursaries and prizes.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2018 GBP 15,000 per Whole course (International) 1 Years
MSc Full-time September 2018 GBP 9,000 per Whole course (Home/EU) 1 Years
MSc Part-time September 2018 GBP 4,500 per Year 1 (Home/EU) 2 Years
MSc Part-time September 2018 GBP 7,500 per Year 1 (International) 2 Years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Northampton Square EC1V 0HB London

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