Program start date | Application deadline |
2024-09-01 | - |
2025-09-01 | - |
Program Overview
The comprehensive curriculum covers machine learning, computational intelligence, and data mining, equipping students with the necessary tools and techniques. Through a combination of lectures and practical exercises, graduates develop specialized technical skills in intelligent systems and big data, qualifying them for positions in various industries and entrepreneurial ventures.
Program Outline
Degree Overview:
The MSc Artificial Intelligence at Aberystwyth University offers a comprehensive study of machine learning, computational intelligence, applied data mining, and statistical concepts, methods, and tools. This program is designed for individuals with a first degree in any Computing subject who wish to advance their careers as software engineers. It provides a deep understanding of the tools, methods, and techniques used by professional software engineers, focusing on the application of advanced software engineering. The program prepares graduates for responsible positions in the software industry.
Outline:
- Duration: The course can be taken as a one-year intensive program or a two-year program incorporating professional experience. It can also be taken part-time.
- Contact Time: Approximately 12 hours a week in the first two semesters. During semester three, students arrange their contact time with their assigned supervisor.
- Modules:
- Year 1:
- Core Modules:
- Advanced Data Analytics (CSM6720): 20 credits
- Computational Intelligence (CSM6520): 20 credits
- Dissertation (CSM9060): 60 credits
- Fundamentals of Intelligent Systems (CSM6120): 20 credits
- Machine Learning for Intelligent Systems (CSM6420): 20 credits
- Statistical Concepts, Methods and Tools (MAM5120): 20 credits
- Optional Modules:
- Internet Technologies (CHM5720): 20 credits
- Modelling, Managing and Securing Data (CSM3120): 20 credits
- Programming for Scientists (CSM0120): 20 credits
Assessment:
- The taught part of the course is assessed through lectures, student seminars, practical exercises, case studies, coursework, and formal examinations.
- The successful submission of a research dissertation leads to the award of an MSc.
Teaching:
- The course is delivered through a combination of lectures, student seminars, practical exercises, case studies, coursework, and formal examinations.
- Students have the opportunity to work closely with their assigned supervisor during the dissertation phase.
Careers:
- The program equips graduates with specialized technical skills in intelligent systems, deep learning, big data, and computational intelligence.
- Graduates have found employment in various industries, including:
- MarkLogic
- Investment banks
- Graduates have pursued careers as:
- Software engineers
- Product managers
- Entrepreneurs
Other:
- The Department of Computer Science at Aberystwyth University has a strong research reputation, with 100% of its impact research being world-leading or internationally excellent (based on the 2014 Research Excellence Framework assessment).
- The course is available partially or entirely through the medium of Welsh.
Tuition Fees: Please see the tuition fee pages for current tuition fees.
Overview:
Abertay University is a public university located in Dundee, Scotland. It is known for its focus on applied learning and its strong industry links. The university offers a range of undergraduate and postgraduate programs, as well as research opportunities.
Services Offered:
Abertay University provides a variety of services to its students, including:
Accommodation:
The university offers a range of student accommodation options, including halls of residence and private apartments.Student Support:
The university has a dedicated student support team that provides advice and guidance on a range of issues, including academic, personal, and financial matters.Careers Service:
The university's careers service helps students with their career planning, job searching, and internship applications.Library:
The Bernard King Library offers a wide range of resources, including books, journals, and online databases.Sport:
Abertay Sport offers a variety of sports and fitness activities for students.Student Life and Campus Experience:
Abertay University offers a vibrant and welcoming campus experience. Students can expect:
A buzzing city centre campus:
The university is located in the heart of Dundee, a vibrant city with a thriving arts and culture scene.A strong student community:
The Abertay Students' Association (ASA) provides a range of social and support services for students.Opportunities to get involved:
Students can join a variety of clubs and societies, participate in volunteering activities, and take part in events and activities organized by the university.Key Reasons to Study There:
Focus on applied learning:
Abertay University is known for its practical and industry-relevant approach to teaching.Strong industry links:
The university has strong relationships with businesses and organizations, providing students with opportunities for internships, placements, and career development.Vibrant and welcoming campus experience:
Abertay University offers a friendly and supportive environment for students.Located in a thriving city:
Dundee is a vibrant city with a lot to offer students, including a thriving arts and culture scene, a range of shops and restaurants, and easy access to the Scottish countryside.Academic Programs:
Abertay University offers a wide range of academic programs, including:
Undergraduate programs:
The university offers a variety of undergraduate degrees in areas such as business, law, social science, applied sciences, design, and informatics.Postgraduate programs:
Abertay University offers a range of postgraduate taught and research degrees.Online Master's Degrees:
The university offers a number of online Master's degrees for students who want to study flexibly.Other:
Entry Requirements:
- 2:2 Bachelors (Honours) degree in a relevant subject area, or equivalent.
- Non-graduates will be considered individually based on relevant work experience.
Language Proficiency Requirements:
- IELTS 6.0 with minimum 5.5 in each component, or equivalent.