This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Depending on the modules chosen, it can lead to a career in areas such as software development, systems design, user interface design, or database design and administration.
About the course
The MSc Advanced Computer Science course consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). Some modules are compulsory and some are optional. The project is compulsory and has a modular value of 60. In order to obtain an MSc degree you must study and pass 120 credits of taught modules plus the project i.e. 180 credits in total.
Why choose this course?
-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies -This MSc is one of a range of advanced courses within our postgraduate masters programme in Computer Science -You will develop knowledge and skills in the models, methodologies, measures and tools that can be employed in your future career -You will be taught by a highly-regarded and long-established computer science department with strong links to business -Half the research outputs in Computer Science at the University of Hertfordshire have been rated at world-leading or internationally excellent in the Research Excellence Framework (REF 2014)
Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.
Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.
This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.
This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.
We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.
Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.
In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.
Year 1 Core Modules -Programming Paradigms -Preparation for Placement -Professional Work Placement for MSc Computer Science
Optional -Professional Issues -Investigative Methods for Computer Science -Data Mining -Mobile Standards, Interfaces and Applications -Human Computer Interaction: Principles and Practice -Advanced Databases -Measures and Models for Software Engineering -Programming for Software Engineers -Software Engineering Practice and Experience -Distributed Systems Security -Secure Systems Programming -Network System Administration -Multicast and Multimedia Networking -Wireless, Mobile and Ad-hoc Networking -Artificial Life with Robotics -Neural Networks and Machine Learning -Theory and Practice of Artificial Intelligence -Information Security, Management and Compliance -Digital Forensics -Penetration Testing
Year 2 Core Modules -Advanced Computer Science Masters Project