Reader in Artificial Intelligence

Artificial Intelligence - UH-000001

Requirements apply to students taking a BCS accredited course. Please refer to the Programme Specification Document under Section 18 'Regulation of Assessment' for details.

The University of Huddersfield seeks and encourages applicants in order to widen participation, improve access and apply the principles of equal opportunities. We provide support for applicants who require additional assistance in order to select the right course of study and make a successful transition to studying at University. We encourage local, national and international applications. Further information for International Students can be found on their website.
Entry requirements for this course are normally:
<ul>
<li>An Honours degree (2:2 or above) preferably in Computer Science, Mathematics, Statistics or a closely related science subject area or an equivalent professional qualification.</li>
<li>You are also encouraged to apply if you have other qualifications and/or experience and can demonstrate that you are equipped with knowledge and skills equivalent to Honours degree level.</li>
<li>Applicants are expected to be familiar with and have some aptitude in basic programming skills.</li>
</ul>
If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our “Where are you from” information pages.
Course entry requirements as given on the University website: <a href="http://www.hud.ac.uk/courses">http://www.hud.ac.uk/courses</a>.
The University provides opportunities for the accreditation of prior learning (APL) as stated in section 3 of the Regulations for Awards.
The University’s general minimum entry requirements are specified in Section 1.5 of the Regulations for Awards and the Admissions Policy
Every person who applies for this course and meets the minimum entry requirement – regardless of any disability – will be given the same opportunity in the selection process. General advice and information regarding disability and the support the University can give can be found by contacting student services as follows:
Telephone: 01484 472675 Email: disability@hud.ac.uk
Further information is available on the disability services website.
Further advice on the specific skills and abilities needed to successfully undertake this course can be found by contacting the admissions tutor and by visiting our course finder website page.

The PgCert Artificial Intelligence consists of a 60-credit programme in which students must acquire the following credits: any 4 15-credit modules.
The PgDip Artificial Intelligence consists of a programme in which students must acquire 120 credits as follows: all 8 15-credit modules required or any 4 15-credit modules plus project.

UH-000001 - Artificial Intelligence

Masters Compulsory

Masters Core

Masters Optional

Masters Level

Structure

<div>The following course regulation will be applicable from academic year 2022-2023 for those students wanting to partially or fully meet the requirements for Chartered Engineer (CEng). The regulation is not applicable nor required for meeting requirements for Chartered IT Professional (CITP).</div>
<div>
<ul>
<li>A maximum of 15 credits in a Master’s degree can be condoned (termed Compensation by the Engineering Council).</li>
</ul>
</div>

Postgraduate Diploma

Postgraduate Certificate

Professional development planning for career enhancement.

Have an in-depth knowledge of data-driven techniques in AI.

Be able to conduct a substantial self-managed project, in a professional, methods-driven manner.

Have a comprehensive understanding of appropriate knowledge representation languages.

Information retrieval skills, including on-line searches and primary literature research skills.

Time management and organisational skills – the ability to initiate, co-ordinate and direct programmes of work and study, including a major research project.

Demonstrate advanced problem-solving and evaluation skills in meeting the needs of different stakeholders and to make informed decisions to satisfy them.

Have a comprehensive understanding of the role of heuristic search in the solution of AI problems.

Have a critical appreciation of the challenges involved in embodying AI within the control of physical machines.

Have a sound appreciation of the limitations of AI techniques.

Have a sound knowledge of legal issues arising from any AI project and the decisions required to resolve them.

Gather, organise and deploy ideas and information in order to formulate arguments cogently, and express them effectively using a range of media.

Exercise critical judgement in the selection and use of various tools and techniques within the AI domain appropriate to the given project.

Synthesise a range of information and data from a variety of sources within the subject domain.

Be able to research advances in AI in an insightful manner.

Communicate complex ideas in both written and oral form to technical and non-technical researchers and practitioners.

Assess and respond to the needs for continuing professional development and lifelong learning in a rapidly changing and evolving industry.

Have a systematic understanding of the theoretical concepts and techniques of AI and its applications.

Critically analyse and apply a range of concepts, principles and practices within the AI domain.

Have a comprehensive understanding of one or more tools for the development of solutions to AI problems.

Effectively apply the theoretical concepts, techniques and/or tools to develop solutions for AI problems.

Have a critical appreciation of the latest and emerging AI techniques and be able to critically evaluate the current and emerging technological trends.

Have a sound knowledge of professional ethics in the AI context.

Use a variety of skills to solve complex problems – demonstrating the ability to create, identify and evaluate options and then to implement and subsequently review the decisions.

Produce high quality evidence and documentation of the processes and practices of analysis, design, implementation and evaluation of AI related problems and solutions.

<ul>
<li>The School Teaching and Learning Committee, a sub-committee of the University Teaching and Learning Committee, is tasked with implementing the University’s teaching and learning strategy and with fostering innovation in teaching and learning and the dissemination of good practice</li>
<li>The School Board, via the School Teaching and Learning Committee has responsibility for implementing University policy through school-defined procedures.</li>
<li>Periodic school and subject reviews take place on a rolling quinquennial programme and focus inter alia on the arrangements for quality management and enhancement, teaching, learning and assessment, C&amp;IT strategies, the articulation and assurances of standards, external examiner reports and evaluation and links with professional bodies, employers and other external organisations.</li>
<li>The Course Committee is responsible for the monitoring and development of the course or programme, taking account of feedback from staff, students and external examiners. Feedback is sought as follows:
<ul>
<li>From students through annual course and module evaluation questionnaires.</li>
<li>From external examiners through annual reports, course assessment board minutes, assessment moderation reports and informal verbal communication during the year.</li>
<li>The annual evaluation of the course/programme is the responsibility of the School Board. The Course Committee prepares an annual evaluation report comprising reporting and evaluation, informed by feedback from staff, students and external examiners and by statistical data.</li>
</ul>
</li>
<li>Amendments to course/programme and module documents are validated by the School Accreditation and Validation Panel.</li>
<li>A process for peer observation of teaching is in place with the object of enhancing teaching practice and sharing ideas between staff.</li>
</ul>

UH-000001

The latest subject review for the subject area that includes this course took place in January 2021. The panel commended the subject area for, among others, the strong links with industry which offers clear benefits for students and the ambitious plans for curriculum development.

At course level support is provided as follows:
<ul>
<li>Supporting documentation is provided, online, in the form of Student Handbooks, Module Handbooks, Programme Specification Documents (PSDs) and Module Specification Documents (MSDs).</li>
<li>The Course Leader is available to provide guidance on academic progress.</li>
<li>Module tutors are available to help with academic problems during term time, either on campus or through electronic means such as Microsoft Teams, to facilitate support for distance learning students.</li>
<li>All modules and year groups are supported on the Virtual Learning Environment</li>
</ul>