Advanced Computer Science [MSc]

Degree awarded: MSc

Duration: 12 months. [Full-time, September-September only]

Entry requirements: We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.

Course 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
  • MSc (part-time)
    UK/EU students (per annum): £5,500
    International students (per annum): £11,500

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.

Contact email: pgt-compsci@manchester.ac.uk

Contact telephone: 44 (0)161 275 6181

How to apply:

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.  

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.

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

You need to ensure that you submit your supporting documents with your application as it may delay us processing your application before the decision deadline.

Applications received after our final selection deadline will be considered at our discretion.

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
MSc Y Y N N

Course description

This is a high quality course aimed at imparting advanced knowledge across a broad range of Computer Science and offering training in advanced skills. It is suitable for those who wish to enhance their computing skills in order to improve their contribution to IT-related industry or to pursue R&D in academia or industry.

A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines two related course units that build on top of each other. Certain combinations are integrated into specialised 'pathways' . A student who opts to follow the pathways will have the pathway specialism included in their degree certificate.

Additional course fees information

Academic entry qualification overview: We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.

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.

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.  

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.

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

You need to ensure that you submit your supporting documents with your application as it may delay us processing your application before the decision deadline.

Applications received after our final selection deadline will be considered at our discretion.

Deferrals

Applications for deferred entry are not accepted for this course. If you receive an offer for 2019 entry and decide not to accept it, should you subsequently wish to be considered for 2020 entry you must re-apply.

Re-applications

If you applied in the previous year and your application was not successful you may apply again. Your application will be considered against the standard course entry criteria for that year of entry. In your new application you should demonstrate how your application has improved. We may draw upon all information from your previous applications or any previous registrations at the University as a student when assessing your suitability for your chosen course.

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.

Progression 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

  • Newly refurbished computing labs furnished with modern desktop computers
  • Access to world leading academic staff
  • Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
  • Over 300 Computers in the School dedicated exclusively for the use of our students.
  • An Advanced Interfaces Laboratory to explore real time collaborative working;
  • A Nanotechnology Centre for the fabrication of new generation electronic devices;
  • An e-Science Centre and Access Grid facility for worldwide collaboration over the internet.
  • Access to a range of Integrated Development Environments (IDEs)
  • Specialist electronic system design and computer engineering tools.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk

Career opportunities

The MSc in Advanced Computer Science has an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Our courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia. The MSc is also a route to further study at research level, or to careers in industrial or academic research.

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.

Course units and themes

A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines two related course units that build on top of each other. Certain combinations are integrated into specialised 'pathways'. A student who opts to follow the pathways will have the pathway specialism included in their degree certificate.

Please point here to see the full list of themes.

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