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Course content

Course description

Semantic Technologies is a relatively new term that describes all areas concerned with using and developing software and methodologies for meaning-centred manipulation of information. The aim is to provide software and methodologies so that web resources, data in databases and raw data associated with programs can be processed and manipulated in a more intelligent way. This requires storing, understanding, manipulating and reasoning about the meaning of the data. Semantic technologies are increasingly being used in such varied applications as the semantic web, health care and biomedical domains, the life sciences, software/hardware industries and the automotive industry.

The Semantic Technologies pathway combines themes such as 'Data on the Web' with 'Ontology Engineering and Automated Reasoning'. These core offerings can be combined with any other theme. Good complementary themes are Data Engineering, Managing Data, Learning from Data, Security and Software Engineering.

Fees

For entry in the academic year beginning September 2019, the tuition fees are as follows:

  • MSc (full-time)
  • UK/EU students (per annum): £11,000 
  • International students (per annum): £23,000

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.

Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.

Entry requirements

English language

In order to be accepted onto an MSc programme in the School of Computer Science, applicants need to provide evidence of having achieved the required level in a recognised English language qualification.

English language test validity

Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course. Please contact us for further information: 

Application and selection

How to apply

Apply online

Applications for 2019 entry:

  • Stage 1: Application received by 2 November 2018; Decision by 11 January 2019.
  • Stage 2: Application received by  4 January 2019; Decision by 1 March 2019.
  • Stage 3: Application received by 8 March 2019; Decision by 26 April 2019.
  • Stage 4: Application received by 31 May 2019; Decision by 28 June 2019.

Advice to applicants

Apply online

As there is high demand for this course we operate a staged admissions process with selection deadlines throughout the year. Due to the competition for places, we give preference to applicants with grades above our minimum entry requirements.  

Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date. If this is the case we will let you know after the deadline date.

We can only process applications that are submitted with the following supporting documents:

  • Online application form
  • First and second year transcripts (translated if not in English)
  • A list of your final year units and a GPA certificate which shows your current average, expressed as a percentage and verified by your current institution.
  • Two academic reference letter s, ora professional reference letter if you graduated more than two years ago

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

Career opportunities

Students following the Semantic Technologies pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in software companies or for healthcare providers who are using or developing Semantic Technologies.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.


Visit the MSc ACS: Semantic Technologies page on the University of Manchester website for more details!

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