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Applied Artificial Intelligence - UH-000878

Students must successfully complete module CMS3512 Strategic Management of Data and Information.

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:
A BSc, BEng or BA Honours degree (2:2 or above) or an equivalent professional qualification. 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. 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="https://courses.hud.ac.uk/">https://courses.hud.ac.uk/</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 471001 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 Applied Artificial Intelligence consists of a 60-credit programme in which students must acquire the following credits: any 4 15-credit modules.
The PgDip Applied 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-000878 - Applied Artificial Intelligence

Masters Optional

Masters Core

Masters Compulsory

Masters Level

Structure

Postgraduate Diploma

Postgraduate Certificate

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

Effectively appraise concepts, techniques and/or tools to develop solutions for AI problems.

Conduct a substantial self-managed project, in a professional, methods-driven manner.

Initiate, co-ordinate and direct programmes of work and study, including a major research project, showing effective time management and organisation.

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

Analyse and evaluate research advances in AI in an insightful manner.

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

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

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 change and project management in the integration of AI within systems and processes.

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

Have a sound appreciation of the limitations of AI techniques.

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

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

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

Discuss in depth approaches to strategic management of data and information.

Create, identify, evaluate options and then 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.

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.

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

Conduct professional development planning for career enhancement.

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

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

<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-000878

These courses are validated in line with university quality assurance procedures. We will be seeking accreditation with the British Computer Society, after the first cohort has graduated in October 2025. The course has CMI accreditation in 'CMI Level 7 Award in Strategic Management and Leadership Practice' from September 2024.

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.</li>
<li>All modules and year groups are supported on the Virtual Learning Environment</li>
</ul>