Would you like to refine your existing knowledge or completely change career direction with a master's computer science degree? From day one of the Computer Science MSc, you will be immersed in an exciting and innovative learning environment. We welcome applicants from a diverse range of academic backgrounds.

You will develop broad knowledge and skills in the main areas of computing science, such as web development, computer networks and database modelling.

Whether you are looking for a brand-new challenge, or simply want to refine your existing knowledge and expertise, this degree will help you on your way to a high earning career in computer science. This programme welcomes those without an undergraduate degree in Computing.

Graduates are expected to work in a number of career opportunities across a wide range of specialist computing areas. This will include software engineering, systems analysis and design, computer networks, database development and management, software testing and project management. Graduates have also set themselves up as IT consultants, or joined existing consultancy firms.

Designed in consultation with partners from industry, you will develop the most up-to-date computing knowledge, tailor-made to fulfil employment demand.

This master’s course is accredited by BCS, the Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

At Northumbria University, you will have access to some of the best state-of-the-art facilities in the North East, including our new Computer and Information Sciences building located in Newcastle city centre. Here you will have access to dedicated IT systems on evenings and weekends.

On this course, you will have the opportunity to independently research topics to deepen your learning and understanding, while learning the skills to communicate your research and investigations. You will study through a selection of taught modules which can be found in the modules tab.

This careers focused master's ensures that you are prepared for work from the get-go with machine learning from the outset of the course. Assessment methods will include reports, presentations, individual, group and project work. You will also have regular feedback as you begin the task of writing your final assessment.

Our experienced staff will be assigned to you on an 1-1 basis to support your chosen research topic towards the end of the programme. You will be taught through a range of lectures, seminars, tutorials and workshops. Throughout the programme, there is an emphasis upon self-directed learning, critical thinking, and independent research to support your academic and personal development.

You will be taught by a range of academic staff who bring a wealth of professional experience. They are experts in specialist areas such as: strategic management, programming, web based Information retrieval, research methods and project management.

In a dynamic learning environment with an expert team of staff, you will be taught theoretical and practical research skills such as information literacy, as well as problem solving skills, self-directed learning and communication skills.

For this full time Master's programme, you will have approximately 13 hours of teaching time per week. Class time can occur anytime between 9am-6pm, Monday to Friday (exact timetables will be finalised in early September).

Throughout the duration of your course you will have access to our state-of-the-art facilities including our new Computer and Information Sciences building, this gives you access to dedicated IT systems and is available evenings and weekends.

You will also have access to the University’s award winning library (online and on campus). The library achieved the second highest score in the UK in the Times Higher Student Satisfaction Survey 2015.

In addition to direct academic assistance, you will have access to a variety of learning support options. Workshops led by library experts will teach you how to correctly reference sources and enhance your academic writing skills. The electronic learning portal will also provide you with access to a selection of online support materials, including Blackboard Ultra.

You will be immersed in a research-rich environment supported by our rapidly expanding Computer Science and Information Science Research Groups.

Northumbria's MSc has been designed to ensure you learn the most up-to-date computing knowledge required by employers across the industry. We offer research-informed teaching, industry-standard software and a strong community of like-minded students.

You will develop an understanding of important research methods, techniques and approaches which could be directly applicable to the demands of your future career.

Industry practice has strongly influenced the design of the programme to give you the computing knowledge to work within a variety of roles in the sector.

Learning independently, working collaboratively on projects, evaluating and reflecting upon practitioner experience, are all essential skills of the computing profession. Your modules will enable you to do all of this and more as you develop the qualities needed for a career in computing.

Upon graduating from this course, you will have an in-depth knowledge and critical understanding of the main areas of Computer Science, including the key areas of systems analysis, systems development, operating systems, networking, databases and the internet.

We place a real emphasis on developing the transferable skills that will open doors to a range of careers. These include communication, analytical and problem solving skills, technical skills and the ability to work independently and as part of a team.

Graduates are expected to work in a number of career opportunities across a wide range of computer areas including software engineering, systems analysis and design, computer networks, database development and management, software testing and project management. Graduates have also set themselves up as IT consultants, or joined existing consultancy firms.