United Nations Sustainable Development Goals (SDGs)
We are passionate about sharing with our students the vital role they each have now and as future professionals in promoting a sustainable future for all. We believe that sustainability is not the domain of one discipline or profession. It is the responsibility of all disciplines, professions, organisations and individuals.
That is why on each of our courses within the School of Computing, Engineering and Intelligent Systems you will learn about the UN Sustainable Development Goals and the contribution you can make now, and as a graduate in Computing or Engineering.
Gain the skills to design and develop the next generation of Artificial Intelligence (Al) systems and services.
Summary
Increased use of Artificial Intelligence (Al) can bring major social and economic benefits by automating tasks currently done by humans. AI computers can analyse and learn from information at higher accuracy and speed than humans can. It offers massive gains in efficiency and performance to most or all industry sectors, for example in Health, Financial Technology, Advanced Manufacturing, Social Media. Al is software that can be integrated into existing processes, improving them, scaling them, and reducing their costs, by making or suggesting more accurate decisions through better use of information. Artificial Intelligence has also been a main focus of Computer Science research at Ulster University for over 25 years, and we are uniquely positioned to deliver this degree course.
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Course specific information
Fees and Finance
Admissions
For any queries regarding getting help with your application, please select Admissions in the drop down below.
For queries related to course content, including modules and placements, please select Course specific information.
This course will develop your employability skills by:
providing you with a broadly-based education in AI and its related technologies which will equip you with the knowledge and skills to select and apply appropriate AI techniques to a particular domain.
providing a systematic study of the theory and principles of AI, which includes fundamental theoretical computer science, mathematics, programming and software engineering.
developing your competence in the use of programming languages for the production of AI and Machine Learning software components.
developing your ability to analyse problems, reason a solution, and represent the knowledge using suitable AI methods and computational techniques.
providing opportunities for the development of practical and team-based skills in applying AI in an industrial context.
Associate awards
Diploma in Professional Practice DPP
Diploma in International Academic Studies DIAS
Diploma in Professional Practice International DPPI
Attendance
Four years, including placement.
Each student must complete 120 credits (usually six modules) in each academic year, with the exception of placement year (60 credits). Years 1, 2 and 4 are spent in the University. Modules are taught on campus and are web-supplemented. In Year 3, students undertake a year's work experience.
Start dates
September 2024
Teaching, Learning and Assessment
Members of the teaching team are Fellows of the Higher Education Academy and Members of the industry professional body - the BCS, the Chartered Institute for IT. Through their research, knowledge transfer and placement activities, teaching staff are also actively engaged with the local software and IT industry, and many modules on the course are directly informed by staff research activities.
Lectures are used to present theory and concepts, and are supported through a combination of tutorial discussion and practical, laboratory exercises. Students will be directed to read sections of recommended texts and will be expected to undertake directed reading in preparation for all scheduled classes, and to consolidate the material covered in class by private study.
Modules are either assessed by coursework only or by a combination of coursework and formal examinations (January and May). Coursework assessment is carried out using any combination of written assignments, class tests, practical tests, presentations, and group assignments as appropriate to meet the learning outcomes of each module.
Attendance and Independent Study
The content for each course is summarised on the relevant course page, along with an overview of the modules that make up the course.
Each course is approved by the University and meets the expectations of:
As part of your course induction, you will be provided with details of the organisation and management of the course, including attendance and assessment requirements - usually in the form of a timetable. For full-time courses, the precise timetable for each semester is not confirmed until close to the start date and may be subject to some change in the early weeks as all courses settle into their planned patterns. For part-time courses which require attendance on particular days and times, an expectation of the days and periods of attendance will be included in the letter of offer. A course handbook is also made available.
Courses comprise modules for which the notional effort involved is indicated by its credit rating. Each credit point represents 10 hours of student effort. Undergraduate courses typically contain 10, 20, or 40 credit modules (more usually 20) and postgraduate courses typically 15 or 30 credit modules.
The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Teaching and learning activities will be in-person and/or online depending on the nature of the course. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.
Postgraduate Master’s courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.
Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures you can expect at least 3 contact hours per week (lectures/seminars/tutorials). Laboratory classes often require a greater intensity of attendance in blocks. Some modules may combine lecture and laboratory. The precise model will depend on the course you apply for and may be subject to change from year to year for quality or enhancement reasons. Prospective students will be consulted about any significant changes.
Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessments. This feedback may be issued individually and/or issued to the group and you will be encouraged to act on this feedback for your own development.
Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification, the assessment timetable and the assessment brief. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Normally, a module will have 4 learning outcomes, and no more than 2 items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised. The module pass mark for undergraduate courses is 40%. The module pass mark for postgraduate courses is 50%.
The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6, (which correspond to the second and third year of full-time attendance).
Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Master’s degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.
All other qualifications have an overall grade determined by results in modules from the final level of study.
In Masters degrees of more than 200 credit points the final 120 points usually determine the overall grading.
Figures from the academic year 2022-2023.
Academic profile
The University employs over 1,000 suitably qualified and experienced academic staff - 60% have PhDs in their subject field and many have professional body recognition.
Courses are taught by staff who are Professors (19%), Readers, Senior Lecturers (22%) or Lecturers (57%).
We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic and learning support staff (85%) are recognised as fellows of the Higher Education Academy (HEA) by Advance HE - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.
The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.
Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
Our facilities in Derry~Londonderry cater for many sports ranging from archery to volleyball, and are open to students and members of the public all year round.
Here is a guide to the subjects studied on this course.
Courses are continually reviewed to take advantage of new teaching approaches and developments in research, industry and the professions. Please be aware that modules may change for your year of entry. The exact modules available and their order may vary depending on course updates, staff availability, timetabling and student demand. Please contact the course team for the most up to date module list.
This module provides students of computing with an initial competence in the development of software through the medium of a modern programming language with facilities for both structured and object-oriented programming
Software Development II
Year: 1
Status: C
This module is a direct follow-on to Software Development I. Students are introduced to more advanced features of both an algorithmic programming language and an object oriented language, and will be expected to acquire a higher level of competence in writing software.
Database Systems
Year: 1
Status: C
The module covers the fundamental principles and theory of database design and provides practical experience in designing and developing database systems using a range of techniques, tools and technologies. It emphasises the important role of databases within an organisation and addresses the use of scalable and secure relational database management systems to facilitate the development of software systems involving large volumes of data and over the web.
Computer Hardware and Operating Systems
Year: 1
Status: C
Differences in the internal structure and organisation of a computer lead to significant differences in performance and functionality, giving rise to an extraordinary range of computing devices, from hand-held computers to large-scale, high-performance machines. This module addresses the various options involved in designing a computer system, the range of design considerations, and the trade-offs involved in the design process.
Mathematics for Engineering I
Year: 1
Status: C
This module provides students with a solid foundation in the fundamental topics in engineering mathematics. The material develops the student's competencies in the essential mathematics that forms an integral part of an undergraduate honours degree in engineering related disciplines.
Artificial Intelligence I
Year: 1
Status: C
Artificial Intelligence (AI) is one of technology's most rapidly growing and transformative fields. It has the potential to revolutionize every industry, from healthcare and finance to transportation and manufacturing. Studying AI will give students a deep understanding of the field's core concepts, including machine learning, natural language processing, and computer vision. They will also learn how to apply these concepts to real-world problems and develop the skills to create intelligent systems. Furthermore, the demand for professionals with AI skills is on the rise, and studying AI can open up a wide range of career opportunities in areas such as data science, robotics, and software development. By studying AI, university students will gain a valuable and in-demand skill set that will be essential for the future.
In this module, students will gain an understanding of the foundations, methodologies, and technological applications of AI technologies and algorithms. They will help them develop their ability to apply these to the design and implementation of AI models using code.
Year two
Computer Networks & Security
Year: 2
Status: C
This module provides an in-depth study of computer, communications and networks. This module will introduce the concepts and principles of computer networks to guide the installation and maintenance of modern, high quality reliable networks. In addition, students will be given the opportunity to learn how to configure and test networks, deploy network based software applications and resolve network infrastructural problems. Students will have an in-depth knowledge of basic skills in networking, and an appreciation for emerging themes that could impact networking in the future
UX
Year: 2
Status: C
This module builds on programming foundations covered in Year 1 and provides a foundation for the Web development modules in Year 2 and 4. In addition, it offers an appreciation of user factors in application design and provides students with the tools to specify and develop high quality user interfaces across all modules.
Object-oriented Programming
Year: 2
Status: C
Programming is an essential skill in today's digital world. It enables individuals to effectively analyse and solve complex problems, automate tasks, and create new technologies. Learning to program not only enhances a student's ability to understand and work with technology, but it also improves their critical thinking and problem-solving skills. Furthermore, programming is a highly sought-after skill in the job market, with many industries requiring individuals with programming expertise. By learning to program, a university student can open up a wide range of career opportunities and be well-prepared for the future.
This module builds on knowledge and skills attained in previous modules, i.e., core programming concepts and capabilities involving loops, conditions, functions, problem-solving, design, and logical thinking.Typically, a student's first exposure to programming in our degree is with Java, and in this module will have an opportunity to learn a new language (e.g., C#, C++, or Python).
Students will have an opportunity to increase their coding skills and learn about more complex programming and software engineering concepts such as Object Orientation, Decomposition, Functional Programming, Memory Management, Input/Output, Exception Handling, Testing, Debugging, and Version Control. Students will design and implement code solutions to set problems both individually and in groups.
Algorithms and Data Structures
Year: 2
Status: C
The module builds upon the expertise acquired in Year 1 software development. Students are introduced to the classic data structures and algorithms that are used to process them, the specification of methods and classes and the measurement of algorithm performance.
Mathematics for Engineering II
Year: 2
Status: C
This module introduces students to the essential mathematics with appropriate numerical computing and programming required for embarking on further study in engineering or a related discipline. It develops the students mathematical skills required to solve problems that arise in the context of their undergraduate study. The module content is introduced in a pragmatic way and then related to real world problems, which enhances understanding and makes the concepts more meaningful and relevant for the student. The module also aims to generate in the student a spirit of mathematical investigation and discovery leading to the development of mathematical confidence. An introduction is given to MatLab, the multi-paradigm numerical computing environment and fourth-generation programming language; assessment in also partially completed in MatLab.
Professional Development
Year: 2
Status: C
This module is designed to equip students with the appropriate research and transferable skills needed to secure employment within the Computing and Engineering domain.
The module prepares students for professional work by developing knowledge of the responsibilities and obligations of employees, employers and clients as determined by codes of professional conduct. Students will have the opportunity to practise the presentation of themselves in, for example, application forms, curriculum vitae, interview, elevator pitches and aptitude tests.
The module provides an underpinning foundation of research concepts, methods and techniques necessary for project development and delivery. The students employ research skills developed during the module to gather research from a variety of sources and critically review this literature. Embedded in all these activities is the reinforcement of the need for adhering to recognised ethical standards and taking a professional approach to employability.
Artificial Intelligence II
Year: 2
Status: C
This module will provide students with the necessary AI skills to be able to access, clean and learn from data in both supervised and unsupervised formats. It will provided students with the necessary skills before placement to enable them to join a industrial team and methodically contribute to data pipelines and core steps in learning from data and deploying interpretable robust results.
Year three
Professional Practice - Computing
Year: 3
Status: C
This module provides undergraduate students with an opportunity to gain structured and professional work experience, in a work-based learning environment, as part of their planned programme of study. This experience allows students to develop, refine and reflect on their key personal and professional skills. The placement should significantly support the development of the student's employability skills, preparation for final year and enhance their employability journey.
International Academic Studies
Status: O
Year: 3
This module is optional
This module provides an opportunity to undertake an extended period of study outside the UK and Republic of Ireland. Students will develop an enhanced understanding of the academic discipline whilst generating educational and cultural networks.
Year four
Cyber Security
Year: 4
Status: C
This module provides an in-depth study of secure computer systems. This module will introduce the concepts and principles of secure systems. In addition, students will be given the opportunity to learn how to configure and test application and network security, deploy secure network based software applications, configure cloud systems and resolve security problems. Students will have an in-depth knowledge of basic skills in security, and an appreciation for emerging themes that could impact secure systems in the future.
Intelligent Robotics
Year: 4
Status: C
This level 6 module will present some of the sensing, perception, planning, learning, control, and movement generation principles necessary to design and program intelligent robots.
Computer Vision
Year: 4
Status: C
This module provides a foundation in the concepts and techniques used in vision systems. Vision systems is a rapidly expanding field and, as such, has applications in areas such as medical imaging, biomedical sciences, factory automation, autonomous vehicle, facial recognition software and manufacturing. The module provides students with the opportunity of studying a subject area that is at the forefront of developing state-of-the-art advances in technology.
Final Year Project
Year: 4
Status: C
Students are required to undertake a major project during the final year of the course. The module offers students an opportunity to develop a realistic and meaningful piece of work during their final year. This module allows a chosen subject area to be researched in depth and a solution developed as a consequence. Students will have the opportunity to integrate and apply the learning achieved from other modules in the course. The module runs during both semesters and allows students to develop a comprehensive approach to all aspects of working on a large project. The project encourages innovation and creative thinking in the development of the solution. It also develops the entrepreneurial mindset, which can influence the challenges undertaken and final decisions made.
Computational Intelligence Technology
Year: 4
Status: C
Having completed this module the student will have an understanding of the computational intelligence research area. The module addresses both existing techniques used individually and in hybrid forms. The module also introduces the current research topics within this domain.
Standard entry conditions
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.
One subject from Mathematics, Further Mathematics, Physics, Chemistry, Biology, Computing (not IT/ICT), Software Systems Development, Technology and Design, Design and Technology, Digital Technology, Electronics, Engineering or Double Award Science/Applied Science.
Reduced offer: Grades CCC
Onesubjectfrom Mathematics, Further Mathematics or Physics.
Applied General Qualifications
RQF Pearson BTEC Level 3 National Extended Diplomain Computing (not ICT/IT), Electronics or Engineering (2016 suite)
Award profile of DMM
The following qualifications are acceptable in particular combinations and/or with A-Level(s) ;The A level(s) and/or the BTEC qualification(s) must be in the specified subject(s).
BTEC Level 3 QCF Subsidiary Diploma, BTEC RQF National Extended Certificate, BTEC Level 3 QCF 90-credit Diploma, BTEC Level 3 RQF National Foundation Diploma, BTEC Level 3 QCF Diploma, BTEC Level 3 RQF National Diploma.
BTEC RQF National Extended Certificate and RQF Pearson BTEC Level 3 National Foundation Diploma do not satisfy the subject requirement for this course; both qualifications will only be considered when presented with an A Level in one of the specified subjects.
OCR Nationals and Cambridge Technical Combinations; Do not satisfy the subject entry requirement for this course and will be accepted as grade only when presented with A levels in the relevant subject(s).
To find out if the qualification you are applying with is a qualification we accept for entry, please check our Qualification Checker -
We will also continue to accept QCF versions of these qualifications although grades asked for may differ. Check what grades you will be asked for by comparing the requirements above with the information under QCF in the Applied General and Tech Level Qualifications section of our Entry Requirements -
112 UCAS tariff points to include a minimum of five subjects (four of which must be at higher level) to include English if studied at Higher level or O4 if studied at Ordinary Level.
Higher level subjects must include minimum H5 Mathematics and minimum H6 in one of the following - Physics, Chemistry, Biology, Computing, Technology or Engineering.
Grades BBCCC to include minimum of grade B in at least one subject from Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering
English & Maths required at Standard Grade 1, 2 or 3.
Scottish Advanced Highers
Grades CCD to include at least onesubject from Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering
English & Maths required at Standard Grade 1, 2 or 3
International Baccalaureate
Minimum 25 points (12 at Higher level to include Grade 4 HL Mathematics and another HL subject from Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering)
Higher or Subsidiary level in English Language required at Grade 4 or above
Access to Higher Education (HE)
Access Diploma
Overall profile of 63% (120 credit Science/Technology Access Course) (NI Access Course); to include a 20 credit Level 2 Mathematics module, passed at 63% or successful completion of NICATS Mathematics with 63% as part of the pre-2021 Access Diploma.
Overall profile of 15 credits at distinction and 30credits at merit (60 credit Science/Technology Access Course) (GB Access Course). GCSE pass at Grade C/4 or above in Mathematics is also required.
GCSE
For this course, you must satisfy the General Entrance Requirements for admission to a first degree course and hold a GCSE pass at Grade C/4 or above in English Language and Mathematics.
Level 2 Certificate in Essential Skills - Communication will be accepted as equivalent to GCSE English.
NB Level 2 Certificate in Essential Skills -Application of Number is NOT acceptable as an alternative to GCSE Grade C Mathematics for entry to this course.
English Language Requirements
English language requirements for international applicants The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5 or Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.
Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.
OCR/Cambridge Technical Combinations OCR Nationals and Cambridge Technical qualifications do not satisfy the subject entry requirements to this course and will be accepted as grades when presented with other relevant qualifications that meet the subject requirements. (Please see A-level and BTec sections above.)
HNCinComputing (not ICT/IT), Electronics or Engineering Overall Distinction (with distinctions in 75 Level 4 credits) for year 1 entry only
HND Year One EntryinComputing (not ICT/IT)
HND overall Merit (with distinctions in 45 Level 5 credits)
HND Year Two Entry
HND applicants may be considered for year 2 entry where the curriculum sufficiently matches the Ulster University full-time year 1 course. GCSE Maths Grade C/4 or an alternative Mathematics qualification acceptable to the University is also required. Please contact the administrator listed in the Contact section.
Ulster Foundation DegreeinComputing (not ICT/IT) Pass with overall 50% and minimum 50% in all taught level 5 modules. Applicants will normally be considered for entry to an associated Honours degree ( Year 2 entry).
For further information regarding all of the above qualifications please contact Admissions -see contact details below.
Transfer between this course and other similar courses within the Faculty of Computing, Engineering and the Built Environment may be possible on the basis of academic performance.
Exemption from parts of the course may be considered based on appropriate performance in a related, designated course or other approved experiential learning (APEL).
The course has been designed to enable students who graduate with a good honours degree to apply for postgraduate study towards a PhD, MSc, MRes or other higher qualification.
AI skill sets are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. As a graduate in Artificial Intelligence, you will be well placed to progress into a wide variety of careers from large-scale established commercial enterprises to innovative technology start-ups with opportunities in large companies e.g. financial services firms, consumer retail firms, small and medium sized businesses or the public sector.
Work placement / study abroad
All students normally spend one year on industrial placement (Year 3) working in some aspect of the computing/engineering industry for a minimum period of 25 weeks. On satisfactory completion of the placement period, you are eligible for the award of Diploma in Professional Practice (DPP). Students who complete their industrial placement abroad receive the award of Diploma in Professional Practice (International).
Alternatively, students may apply to study abroad in another academic institution for a year. Satisfactory completion leads to the Award of Diploma in International Academic Studies (DIAS).
Apply
Start dates
September 2024
Fees and funding
Northern Ireland, Republic of Ireland and EU Settlement Status Fees
£4,750.00
England, Scotland, Wales and the Islands Fees
£9,250.00
International Fees
£16,320.00
Scholarships, awards and prizes
Prizes and Scholarships for this course can be viewed on the Faculty Prize list:
Follow the links to the Faculty of Computing, Engineering and the Built Environment.
Additional mandatory costs
N/A
It is important to remember that costs associated with accommodation, travel (including car parking charges) and normal living will need to be covered in addition to tuition fees.
Where a course has additional mandatory expenses (in addition to tuition fees) we make every effort to highlight them above. We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals, as well as first-class facilities and IT equipment. Computer suites and free Wi-Fi are also available on each of the campuses.
There are additional fees for graduation ceremonies, examination resits and library fines.
Students choosing a period of paid work placement or study abroad as a part of their course should be aware that there may be additional travel and living costs, as well as tuition fees.
The University endeavours to deliver courses and programmes of study in accordance with the description set out in this prospectus. The University’s prospectus is produced at the earliest possible date in order to provide maximum assistance to individuals considering applying for a course of study offered by the University. The University makes every effort to ensure that the information contained in the prospectus is accurate, but it is possible that some changes will occur between the date of printing and the start of the academic year to which it relates. Please note that the University’s website is the most up-to-date source of information regarding courses, campuses and facilities and we strongly recommend that you always visit the website before making any commitments.
Although the University at all times endeavours to provide the programmes and services described, the University cannot guarantee the provision of any course or facility and the University may make variations to the contents or methods of delivery of courses, discontinue, merge or combine courses, change the campus at which they are provided and introduce new courses if such action is considered necessary by the University (acting reasonably). Not all such circumstances are entirely foreseeable but changes may be required if matters such as the following arise: industrial action interferes with the University’s ability to teach the course as planned, lack of demand makes a course economically unviable for the University, departure of key staff renders the University unable to deliver the course, changes in legislation or government policy including changes, if any, resulting from the UK departing the European Union, withdrawal or reduction of funding specifically provided for the course or other unforeseeable circumstances beyond the University’s reasonable control.
If the University discontinues any courses, it will use its best endeavours to provide a suitable alternative course. In addition, courses may change during the course of study and in such circumstances the University will normally undertake a consultation process prior to any such changes being introduced and seek to ensure that no student is unreasonably prejudiced as a consequence of any such change.
Providing the University has complied with the requirements of all applicable consumer protection laws, the University does not accept responsibility for the consequences of any modification, relocation or cancellation of any course, or part of a course, offered by the University. The University will give due and proper consideration to the effects thereof on individual students and take the steps necessary to minimise the impact of such effects on those affected. 5. The University is not liable for disruption to its provision of educational or other services caused by circumstances beyond its reasonable control providing it takes all reasonable steps to minimise the resultant disruption to such services.
Sustainability at Ulster
Ulster continues to develop and support sustainability initiatives with our staff, students, and external partners across various aspects of teaching, research, professional services operations, and governance.
At Ulster every person, course, research project, and professional service area on every campus either does or can contribute in some way towards the global sustainability and climate change agenda.
We are guided by both our University Strategy People, Place and Partnerships: Delivering Sustainable Futures for All and the UN Sustainable Development Goals.
Our work in this area is already being recognised globally. Most recently by the 2024 Times Higher Education Impact rating where we were recognised as Joint 5th Globally for Outreach Activities and Joint Top 20 Globally for Sustainable Development Goal 17: Partnership for the Goals.
Visit our Sustainability at Ulster destination to learn more about how the University strategy and the activities of Ulster University support each of the Sustainable Development Goals.