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BEng Artificial Intelligence with Management

BEng Artificial Intelligence with Management Degree Programme Table

1. Awarding Institution: University of Edinburgh

2. Teaching Institution: University of Edinburgh

3. Programme Accredited By: see accreditation pages

4. Final Award: BEng Honours

5. Programme Title: BEng (Honours) Artificial Intelligence with Management

6. UCAS Code: G7N2

7. Relevant QAA subject benchmarking: Computing

8. Mode of Study: Full time

9. Educational aims of programme:

This degree is based on the corresponding degree in Artificial Intelligence. Some of the flexibility which exists within that degree for students to take courses from outwith the AI curricula is taken up in the "with Management" degrees by courses which offer students the opportunity to study the issues involved in managing the production of marketable products and in making business decisions.

Artificial Intelligence studies the principles and mechanisms underlying intelligent processes in humans and other living organisms and attempts to apply such knowledge to the design of computer-based systems and to the understanding of natural intelligence.

At Edinburgh, Artificial Intelligence is treated as a subset of the wider discipline of Informatics, which also covers Computer Science, Software Engineering and Cognitive Science.

All but one of the Management courses are taught by the School of Engineering and Electronics. The exception is Industrial Management, which is taught by the Management School.

Each module in the Honours years is normally taught by a subject expert who is also undertaking related research, so research inevitably influences the courses. Students undertake a wide variety of practical exercises and projects which reinforce and build on lecture material. Communication skills, initiative, professionalism and the ability to work with others are developed as integral parts of the learning process. This means that all students have the opportunity to select courses from across almost all areas of the QAA Computing Benchmark and that 80% of the material they do study forms part of the Benchmark.

The principal aims of these courses are to:

  • develop graduates possessing a thorough understanding of the theoretical and practical aspects of Artificial Intelligence
  • equip students with advanced scientific and engineering skills from Artificial Intelligence
  • provide a programme of study that benefits from our research strengths in Artificial Intelligence at Edinburgh.
  • enable students to develop communication skills, initiative, professionalism and the ability to work independently as well as with others
  • provide graduates with the knowledge and skills necessary for their professional careers or for postgraduate study.

10. Programme Outcomes

The programme provides opportunities for learners to achieve the following outcomes:

(a) Knowledge and understanding

  • understand the principles and mechanisms underlying various kinds of intelligent processes;
  • understand how to deal more effectively with natural intelligence using AI tools and techniques;
  • understand how to represent and reason about knowledge in a computer;
  • have an awareness of the philosophical issues that arise within Artificial Intelligence;
  • have an awareness of the social, professional, ethical and legal issues involved in the use of computing systems;
  • have an awareness of key issues in Artificial Intelligence that will continue to challenge researchers in the future;
  • have an awareness of the issues involved in managing the production of marketable products.

(b) Intellectual Skills

The ability to:

  • specify and design intelligent computer-based systems;
  • derive abstract representations and formulate appropriate solutions for problems;
  • the ability to determine what information is required to support business decision making.

(c) Professional/subject/specific/practical skills

The ability to:

  • develop and implement intelligent computer-based systems
  • use support tools from Artificial Intelligence during the development process
  • formulate appropriate assessment criteria and evaluate computer-based systems
  • apply principles of human-computer interaction to the evaluation and construction of systems
  • operate computing equipment and software systems effectively

(d) Transferable skills

  • deploy logical, analytical and problem solving skills to synthesise solutions ;
  • show self-direction and time management skills when working independently;
  • work effectively as part of a team;
  • provide and accept peer evaluation;
  • communicate effectively through a variety of media including oral, visual, written, diagrammatic and on-line;
  • make effective use of learning materials and acquire and apply knowledge from a variety of sources.

11. Programme Structure and Features

For formal definitions, including details of compulsory and optional course choices, consult the Degree Programme Table. Consult the List of Informatics courses to discover which courses belong to which subject area.

12. Entry Requirements:

Please consult the current University Undergraduate Prospectus.

13. Degree Classification

The final degree classification is based equally on performance in third and fourth years. Degrees are classified according to the University's standard marking scale with boundaries at 70%, 60%, 50%, 40%. Students who fail the final year can be awarded an Ordinary Degree on the basis of their third year marks.