This course is ideal for computing graduates who want to prepare for a general career in IT without the need to specialise at this stage. Subjects range from data modelling, embedded systems and systems architecture to intelligent agents, equipping you to fully understand the application of computing technology in real-world situations whilst gaining the practical business skills that employers seek.
MSc in Computer Science is an ideal course for computing graduates who want to continue studying computing technology but are looking to explore a wide area in computer science without the need to focus (solely) on one particular subject at this stage. The course is therefore ideal for those students who want to keep their career options open.
A range of topics from Networking and Data Modelling to Smart Technologies will be studied which will equip you to fully understand the application of computing technology in real-world situations. You will also do a MSc final project to demonstrate a deep and systematic understanding of a selected area within computer science, including theoretical and methodological approaches issues at the forefront of research or professional practice in that area.
Employability is understood widely as encompassing knowledge, skills and a professional attitude which your tutors expect you to display in all your units. All University of Bedfordshire courses aim to help you to be prepared for the world of work. The Careers Service is there to support you throughout the duration of your study. Our curriculum gives you skills that are valuable for a career within Computer Science but it is also relevant for a wider range of applications.
The unit `Research Methodologies and Project Management in particular requires you to work in a team so as to apply a current project management methodology that embraces all of these knowledge areas in an integrated way while going through the stages of planning, execution and project control; you will work as part of a team, take responsibility and make autonomous decisions that impact on the project team performance.
In addition and somewhat complementary the project fosters independent and autonomous study: you learn to take up the responsibility of conducting your project, typically derived from your own ideas, in collaboration with a dedicated member of the academic staff as project supervisor.