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Overview
- For those looking to continue in academia or use your expertise commercially in any sector
- Explore the latest techniques and technologies, and how to apply these to complex contemporary problems across the breadth of society
- Learn from teaching that draws directly from our particular research strengths in AI, machine learning, data science, high performance computing and networks, and cyber-security
- Boost your employability by strengthening your team-working, coding, independent research and problem solving skill
Careers
Computer Science is at the forefront of technology and innovation. With connectivity at the heart of society, there is an increasing need for graduates who are able to understand the latest techniques and technology to negotiate problems. Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.
Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This Advanced Computer Science programme at The University of Exeter is particularly suited to professionals and graduates looking to develop career options or pursue academia.
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Visit official programme websiteProgramme Structure
Courses include:
- Computer Science Research Project
- Nature-Inspired Computation
- Research Methodology
- Machine Learning
- Evolutionary Computation & Optimisation
- Computer Modelling and Simulation
- Computer Vision
- Learning from Data
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- StartingApply anytime.
More details
Whilst we don’t have a formal deadline for application, we encourage you to apply as soon as possible. We close to applications wishing to join us for study in 2022/2023 on Friday 16 September. We advise international applicants to submit a complete application by mid-July.
Language
English
IELTS 6.5
TOEFL® IBT 90
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Computer Sciences Cyber Security Machine Learning View 231 other Masters in Machine Learning in United KingdomExplore more key information
Visit official programme websiteAcademic requirements
GPA Upper Second Class
English requirements
IELTS 6.5
TOEFL® IBT 90
Other requirements
General requirements
- Candidates are required to have at least a 2:1 degree in computer science or a related area. This is an advanced programme and requires substantial previous knowledge of computer science (equivalent to that gained from an undergraduate degree in this area).
- Candidates must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.
- We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.
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Visit official programme websiteTuition Fee
To alway see correct tuition fees
-
International
25000 GBP/yearTuition FeeBased on the tuition of 25000 GBP per year during 12 months. -
National
11000 GBP/yearTuition FeeBased on the tuition of 11000 GBP per year during 12 months.
UK fees per year:
£5,500 part-time
International fees per year:£12,500 part-time
Living costs for Exeter
649 - 1087 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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