Reader in Artificial Intelligence

Artificial Intelligence (with Placement) - UH-000073

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

<p>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.</p>
<p>Entry requirements for this course are normally:</p>
<ul>
<li>An Honours degree (2:1 or above) 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>
<p>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 7.0 overall with no element lower than 6.5, 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.</p>
<p>Course entry requirements as given on the University website: <a href="http://www.hud.ac.uk/courses">http://www.hud.ac.uk/courses</a>.</p>
<p>The University provides opportunities for the accreditation of prior learning (APL) as stated in section 3 of the Regulations for Awards.</p>
<p>The University’s general minimum entry requirements are specified in Section 1.5 of the Regulations for Awards and the Admissions Policy</p>
<p>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:</p>
<p>Telephone: 01484 472675<br />Email: disability@hud.ac.uk</p>
<p>Further information is available on the disability services website.</p>
<p>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.</p>
<p>Please note that progression onto the Placement Module is dependent on the student’s standing following the completion of the 12-month taught programme and, on the student sourcing an appropriate placement. Please see Section 13 for further details regarding the eligibility of placements.</p>

<p>The PgCert Artificial Intelligence consists of a 60-credit programme in which students must acquire the following credits: any 4 15-credit modules.</p>
<p>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.</p>
<p>The MSc Artificial Intelligence is awarded when students complete 180 credits on the required course of study: all 8 15-credit modules plus project required.</p>
<div>The MSc Artificial Intelligence (with Placement) is awarded when students complete 240 credits on an approved course of study, which consists of, </div>
<div>
<ul>
<li>180 credits of the MSc, consisting of: 120 credit - taught modules and 60 credit - individual project module - ‘Advanced Technical Project’,</li>
<li>And also 60 – credit Placement module - ‘Professional Development and Practice’.</li>
</ul>
<div>The following regulations apply to MSc Artificial Intelligence (with Placement):</div>
<ul>
<li>The “MSc with Placement” route is full-time and therefore does not apply to part-time students.</li>
<li>In order to be eligible to take up the placement that they have found, a student must pass all 180-credits of the MSc course, confirmed at the appropriate Course Assessment Board (CAB).</li>
<li>Students on the “MSc with Placement” wishing to progress onto the placement module should be in good standing with the University and have confirmed, and had their placement approved, with the School before the end of the 12 month taught period.</li>
<li>September starters will usually begin their placement around October/November after the term 3 CAB.</li>
<li>January starters will usually begin placement around February/March after the term 1 CAB.</li>
<li>Securing a placement is the responsibility of the student. </li>
<li>Placements will be assessed for their suitability by the School in terms of their ability to fulfil the Learning Outcomes for the CSP3501/NSP3501 Professional Development and Practice module.</li>
<li>Placements should last between 18 and 24 weeks.</li>
<li>Students who do not have an agreed placement before the end of the 12-month taught period will exit with the award of MSc Artificial Intelligence.</li>
<li>Any student failing the placement will not be able to retake this module and will be awarded the MSc Artificial Intelligence.</li>
</ul>
</div>

UH-000073 - Artificial Intelligence (with Placement)

Masters Optional

Masters Compulsory

Masters Core

Masters Level

Structure

<p>An approved exception to the University of Huddersfield's Regulations for Awards is in place to allow this Master's with Advanced Professional Practice course to include "(with Placement)" at the end of the course title, rather than the standard "(Advanced Professional Practice)".</p>
<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>

Master of Science

Postgraduate Diploma

Postgraduate Certificate

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

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

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

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.

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

Have a sound appreciation of the limitations of AI techniques.

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

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

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

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

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

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

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

Have a comprehensive understanding of appropriate knowledge representation languages.

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

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

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

Professional development planning for career enhancement.

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

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

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

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

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

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

<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-000073

<p>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.</p>

<p>At course level support is provided as follows:</p>
<ul>
<li>Supporting documentation is provided, online, in the form of Student Handbooks, Module Handbooks, Programme Specification Documents (PSD) and Module Specification Documents (MSD).</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>