Advanced Computer Science

Part-time study available
International Students can apply

3 good reasons to study Advanced Computer Science at Salford


The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics"


Taught by highly-rated research staff


Opportunity to study advanced aspects of Computer Science within a research-based environment

Course Summary

This course offers you the opportunity to study advanced aspects of Computer Science within a research-based environment.  The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics".  The course provides dedicated modules that will showcase each of these research areas and provide you with an overview of the research themes within each area, along with detailed knowledge of a selected theme.  You will have the opportunity to work alongside highly-rated research staff, use the School's world-leading visualisation laboratories and to develop some advanced programming skills.

Course Details

Course Structure


Year 1

Semester 1

This module will equip you with a systematic and advanced understanding of state-of-the-art technologies and techniques within the domain of mixed reality media and multi-modal interfaces. It aims to cover theoretical aspects relating to the application of these technologies and evaluation of such systems, and to developing and implementing virtual environments and telepresent systems.
You will build upon your prior knowledge of programming by learning about diverse programming paradigms and by developing detailed knowledge and understanding of issues and approaches to complex and concurrent software systems.

Semester 2

You will gain a specialist understanding of the Semantic Web and the data languages commonly used for content development and the associated tools and techniques that can be used for automated extraction, representation and indexing of information in unstructured multimedia data sources such as text, audio/music and image/video data.
You will gain a broad overview of the general field of 'database systems' and develop specialist knowledge in areas that demonstrate the interaction and synergy between ongoing research and practical deployment of this field of study.

Semester 3

Working under the direction of an academic supervisor, you will integrate learning from the previous modules, to carry out high-level coordinated academic and practical work.  You will identify a suitable problem and then design, develop and evaluate a software-based solution, critically evaluate the outcome and reflect on the process.


Students taking the programme on a part-time basis will do "Advanced AI and Information Extraction" and "Mixed Reality Media and Multi-Modal Interfaces" in the first year, "Advanced Programming" and "Research Methods, Development and Project Management" in the second year, and "Project for MSc"  in the third year.

Entry Requirements

The minimum requirement is a Class 2 Division 2 Honours degree or equivalent in a computing discipline, including recent programming experience.

Accreditation for Prior Experiential Learning (APEL)

We welcome applications from students who may not have formal/traditional entry criteria but who have relevant experience or the ability to pursue the course successfully.

The Accreditation of Prior Learning (APL) process could help you to make your work and life experience count. The APL process can be used for entry onto courses or to give you exemptions from parts of your course.

Two forms of APL may be used for entry: the Accreditation of Prior Certificated Learning (APCL) or the Accreditation of Prior Experiential Learning (APEL).

English Language Requirements

International applicants will be required to show a proficiency in English. An IELTS score of 6.5 (no element below 5.5) is proof of this.

Applicant profile

You are a graduate or professional wanting to study advanced aspects of Computer Science within a highly-rated research-based environment.

You are interested in Data Mining, Pattern Recognition, Virtual Environments or Future Media.

You enjoy computer programming and are keen to further develop your programming skills.


A variety of delivery methods are adopted to achieve the intended learning outcomes, including lectures, supervised laboratories, group activities in class, assignments and projects.  The modules are designed to incorporate hands-on activities with face-to-face support, and are not intended for purely distance learning.

  • Lectures  
  • Tutorials  
  • Supervised laboratories  
  • Group activities  
  • Presentations  
  • Critical evaluations of case studies  
  • Assignments  
  • Examinations  
  • Project  
  • Reflective practice


  • Coursework 60%
  • Examinations 40%

Postgraduate Staff Profile

Dr N. Murray

Programme leader: MSc/PgDip Advanced Computer Science

Lecturer in the School of Computing, Science & Engineering


As a graduate from this course you will be well equipped to work in a range of jobs such as system analyst, systems programmer, system administrator or computer analyst.  Previous graduates of Computer Science from University of Salford have found employment with companies such as Microsoft, Hewlett-Packard, 3M, Zen Internet, Siemens, Fast Web Media and Amsterdam Internet Exchange.

When you graduate, you may wish to embark up a research degree in the School of Computing, Science and Engineering at the University of Salford. For information on this, see:

Some of the School's research centres were part of Research Institutes that achieved 6* in the last Research Assessment Exercise (RAE), and the University of Salford is rated in the top third of all UK Universities for research. For information on the School's research centres, see:

The University of Salford is a research led university committed to creating and fostering a vibrant research environment for postgraduate research students from across the world.  For more information on our comprehensive range of support services and application information, see:

Career Prospects

Alumni Profile

Links with Industry

Further Study

Fees and Funding

Fees 2016-17

Type of StudyFee
Part-time£934 per 30 credits
Full-time International£12,000, PgDip £8,000
Full-time PgDip£3,736

Additional costs

You should also consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.

Scholarships and Bursaries

We offer awards to help you study through our:

  • Vice-Chancellor's Excellence Scholarship
  • University of Salford student loyalty discount
  • Country bursary scheme for International students only

There are also other sources of funding available to you.

For more information please see our funding section


You will have the opportunity to use the School's world-leading visualisation laboratories