The University of Edinburgh
Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research MPhil
The University of Edinburgh

Course modalities offered

Key Course Facts

Student Reviews

Below you can see course specific reviews for 30 graduates of Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research MPhil at The University of Edinburgh for each of the survey questions in comparison to the average for all UK degree courses in Finance, Banking, Corporate Finance, Fintech.

Overall student satisfaction
76 /100
30 total respondents
The NSS is commissioned by the Office for Students

Salary

Salary of Graduates in Finance, Banking, Corporate Finance, Fintech

Important: Salary data below is not course specific, but contains data of all students of Finance, Banking, Corporate Finance, Fintech at the university. Due to data collection methodology, salary data is mainly based on data related to undergraduate students.

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £27500 £30500 £41500
25-75 percentile range £22500 - £35000 £25500 - £37000 £33500 - £51500


Salary of all UK Graduates of Finance, Banking, Corporate Finance, Fintech

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £24406 £25995 £31508
25-75 percentile range £21389 - £28940 £19811 - £33751 £23339 - £42744

Course Description

At the Artificial Intelligence and its Applications Institute (AIAI), we enable computer systems to reproduce and complement human abilities, work with people, and support collaboration between humans. We conduct world-leading research in the foundations of Artificial Intelligence (for example, in knowledge representation and reasoning, emergence of meaning, theory and ontology change, creativity, computer-based proof) and its applications to intelligent systems (for example, autonomous and multi-agent systems, social computation, scientific collaboration platforms, web semantics and linked data).

Our research methods focus on the development of models of knowledge, reasoning, and interaction that can be used to understand and automate aspects of human and machine intelligence, but are also understandable and usable to the designers and users of AI systems in order to address broader issues such as fairness, accountability, transparency and safety.

To achieve this, we combine theoretical research into AI models, architectures and algorithms with a strong element of applied research. This has led to a strong track record in using our methods to address real-world problems in healthcare, scientific collaboration, social computing, emergency systems, transportation, engineering, aerospace and others.

You'll find a wide range of research areas within AIAI conducted across themes such as:

  • Interpretable and Explainable AI

  • Autonomous and Multi-agents Systems

  • Mathematical/Probabilistic and Logical Reasoning

  • Formal Modelling and Verification

  • Planning and Activity Management

  • Data-Intensive Research

Accredited by the Association of Chartered Certified Accountants (ACCA) for the purpose of exemptions from some professional examinations.

Accredited by the Association of International Accountants (AIA) for the purpose of exemption from some professional examinations.

Accredited by the Association to Advance Collegiate Schools of Business (AACSB).

Accredited by the Chartered Institute of Management Accountants (CIMA) for the purpose of exemption from some professional examinations through the Accredited degree accelerated route.

Accredited by the EFMD Quality Improvement System.

Accredited by the Chartered Institute of Public Finance and Accountancy (CIPFA) for the purpose of exemption from some professional examinations.

Accredited by the Institute of Chartered Accountants Scotland (ICAS) for the purpose of exemption from some professional examinations.

Accredited by the Institute of Chartered Accountants in England and Wales (ICAEW) for the purpose of exemption from some professional examinations.

Jobs & Career Perspectives

15 months after graduation, graduates of this course were asked about what they do and, if they are working, about their current job and their perspectives.

Current jobs

Required skill level of job after 15 months

Jobs of graduates of this course (15 months after graduation)

Example below based on all graduates of Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research MPhil at The University of Edinburgh

75% Business, Research and Administrative Professionals
25% Business and public service associate professionals

Entry Requirements / Admissions

UCAS Tariff of Accepted Students for this course

Get advice on which foundation courses are best for you to still study Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research, MPhil, if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

Costs

Average student cost of living in the UK

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

University Rankings

#1
University Guru Meta Ranking
of The University of Edinburgh

among 20 universities in Scotland
based on 40 different rankings

Positions of The University of Edinburgh in top UK and global rankings.

Rankings of The University of Edinburgh in related subject specific rankings.

Computer Science

    • #2 
    • #14 
    Computer Science
    CUG The Complete University Guide - By Subject
    [Published 14 May, 2024]
    • #1 
    • #29 
    Computer Science
    THE World University Rankings by Subject
    [Published 17 January, 2025]
    • #1 
    • #259 
    Computer Science
    NTU Rankings by Subject
    [Published 01 September, 2024]

See all 40 university rankings of The University of Edinburgh

About The University of Edinburgh

The University of Edinburgh is located in the Scottish city of the same name, and is one of the oldest universities in the entire United Kingdom, having opened in the year 1583. The university enjoys a strong reputation for its contributions to international research efforts, which is reflected in their inclusion in the Russell Group, Universitas 21, and Una Europa. Edinburgh offers its residents a historic yet modern city, with a lively nightlife scene, reliable public transport, and friendly locals.

List of 686 Bachelor and Master Courses from The University of Edinburgh - Course Catalogue

Where is this programme taught

Central area campus
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FAQ about Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research MPhil The University of Edinburgh

  • The median salary of graduates of this course was £25250 15 months after graduation, £30500 3 years after graduation and £41500 after graduation.

  • Business, Research and Administrative Professionals (75%), Business and public service associate professionals (25%),

  • 30 graduates rated the course 76. This means that 76% of graduates indicated that they were satisfied or very satisfied with the course. See detailed ratings above and how these compare to the averages at other universities.

  • Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research MPhil is taught on campus and cannot be taken online at The University of Edinburgh.

  • It is very difficult to get accepted into this course. Accepted students had an average UCAS tariff score of 195 which makes it one of the 3.45% most difficult courses to enter among all Artificial Intelligence students in the UK.