Master of Research in Computer Science
(MRes in CS (Computing, Artificial Intelligence))

• You should have at least two years of relevant work experience and an upper second class (2:1) UK honours degree/postgraduate degree (or equivalent) in a relevant subject.
• We’ll consider your application if you don’t possess the above qualifications but have substantial work experience in a relevant field.
• You may be required to attend an online interview as part of the application process.
• If English isn’t your first language, you’ll also need IELTS 6.5 with normally no less than 6.0 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.

An MRes in Computing opens doors to many career options both in academia and in the industry. These include:

• Research Scientist
• Academic Researcher
• Machine Learning Engineer
• Artificial Intelligence Scientist
• Artificial Intelligence Engineer
• Data Scientist (Computer Vision)
• Data Scientist (Natural Language Processing)
• Data Scientist (Audio Engineering)
• Embedded Computing Scientist
• Embedded Computing Engineer
• Health Data Scientist
• Machine Learning Scientist
• Machine Learning Engineer
• Prompt Engineering

Important note regarding tuition fees for the 2023-2024 academic year: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for ‘Home’ fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for ‘Home’ fee status under the Common Travel Area arrangement. Please read the student finance for EU students web page on www.gov.uk for information.

The fees for a student’s course of study will be set for the normal duration of that course subject only to inflationary increases – measured by the Consumer Price Index (CPI) recorded in March each year to take effect for subsequent start dates.

Bursaries

Click here for more information about the scholarships and bursaries available to University of Bolton students.

You can apply for the MRes in Computing here. and for the MRes in Artificial Intelligence here

Home Applicants

You may apply directly to the University using the University’s online application form. Please select your chosen start date from the list below:

You should have to hand:

• Details of the educational establishments you attended and dates

• Your certificates for the qualifications you are using to gain entry to the course – you will need to enter the completion date and upload copies

• Details of any employment history including name, address, dates and role

• Personal statement – this can be either input into the relevant field or uploaded separately

• Details including e-mail addresses of two referees, at least one of which should be someone who can provide an academic reference

Please make sure any documents you wish to upload in support of your application are in pdf or jpeg format. Personal statements may be word documents.

Please ensure your data is correct at each stage of the application before you proceed to the next page. If you use the back button at any time during the application, you should check the validity of the data you have already input.

If you experience difficulties during the application process, contact the Admissions Team on 01204 903394 or admissions@bolton.ac.uk

• Apply online: University of Bolton Master by Research (Specialism) – 23 September 2024

International Applicants

English Language Qualifications

Have you completed an English Language qualification prior to application or have a valid exemption as per the list below? (The qualification/exemption must be uploaded with this application) E.g. Applicants from Nigeria/Africa must upload their WAEC or NECO certificate before the application is submitted for a prompt response and offer.

Acceptable English Language Tests – Undergraduate and Postgraduate

These tests must have been taken within 2 years of the start of the course

Acceptable European qualifications

English component must be obtained within the last 4 years

Acceptable International Regional qualifications

Must be obtained no more than 4 years before the proposed start date of the course

The programme will be delivered using a blended learning approach, combining face-to-face sessions with online and practical work as appropriate. A range of learning and teaching methods will be employed, including (face-to-face or online) lectures, seminars, tutorials, discussion groups, guest speakers and master classes. A significant amount of personal study time is expected to be undertaken by the student comprising, for example, background reading, online activities, assessment work and preparation for sessions. This programme adopts a blended style of learning and teaching, including online delivery and engagement where appropriate.

The programme has been developed with a scaffold approach to assessment both within modules and between modules. A planned assessment strategy allows for:

1. the development of research knowledge and transferable skills through relevant and flexible assessment methods.
2. tailored assessments to enable the development of advanced knowledge and understanding in the student’s area of specialism.
3. Initial assessment(s) in each module to support the completion of a later one, to provide feedback opportunities and reduce academic misconduct (See OfS B4 condition).
4. At least half of the course is commonly devoted to one or more research projects (QAA MRes Characteristic)

Modules

The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.

• Academic Skills and Professional Development
• MRes Specialism: Critical Insights
• Research Design and Methods
• Collaborative Research Project
• Advanced Research Analysis and Methods
• Dissertation