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 you will learn about the UN Sustainable Development Goals and the contribution you can make now, and as a graduate in Computing.
Read the course details below to find out more.
Computing@Ulster - empowering the graduates of tomorrow through excellence in teaching, research and technology transfer.
The overall aim of the course is to offer a broadly-based education in computing science, attractive to those seeking to understand the fundamentals of computing and its application to novel application areas. A graduate would be equipped with skills to problem solve and be employed in a software development team in the software industry or a commercial IT department.
This course is only available to International Students.
We know that choosing to study at university is a big decision, and you may not always be able to find the information you need online.
Please contact Ulster University with any queries or questions you might have about:
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.
We look forward to hearing from you.
In this section
If you want to become a Computer Scientist with expertise in the analysis of computing problems with the ability to design and develop practical solutions for them, then you should consider this course.
Computing pervades every aspect of our day to day lives from the gadgets in our homes, our workplaces to our smartphones. Industry needs dynamic, enthusiastic graduates with interests across the computing science spectrum.
Do I need to have studied Computing or Digital Technology at school or college?
A discipline with such diversity requires students with a variety of interests and backgrounds, therefore, you do not need to have studied Computing or Digital Technology, however, we will look for evidence of a passion and enthusiasm for this dynamic, fast-moving discipline.
This course lasts three years.
New students are expected to attend a pre-semester induction. The course is delivered over two semesters (September to May) with a supplementary assessment period in August.
The taught element of the course is typically 22-24 hours per week (Monday to Friday) and timetabled sessions are supplemented by directed independent study and may require access to additional online tutorial and study material.
You undertake six modules in Year 1 covering subjects such as Problem Solving for computing, mathematics for computer scientists, Databases, Client Side Development and Introduction to Physical computing. You will also attend extended induction designed to ease your transition into the course.
In Year 2, additional core modules extend your skills in Programming, Web Development and Software Product Management and introduce topics relevant to Networks, Security and Data Analytics.
The final year of study consists of two compulsory modules that reflect the core theme of the course at an advanced level as well as some optional modules. You also undertake a major project which involves the analysis, design, implementation, testing and evaluation of the solution to a substantial software-related problem.
The course is delivered using several teaching and learning methods including Lectures, Tutorials and Practical Laboratory Sessions.
Lectures are used to present and illustrate basic theory and fundamental principles and are normally supplemented by tutorials which elaborate on lecture content and provide opportunities for the student to use their problem-solving skill and to examine problem solutions in greater detail.
Practical Laboratory Classes enable the practical application of theoretical concepts, facilitating a deeper understanding of key topics. In programming laboratories, there is an emphasis on small group tutoring and support.
Modules are assessed through a wide variety of methods including class tests, individual and collaborative coursework assignments, project dissertations, oral presentations, vodcasts and video demonstrations. A common assessment pattern in modules is a first piece of assessment which seeks to ensure the acquisition of core knowledge as preparation for a more substantive practical skills assessment.
The assessments undertaken by students require them to engage with computing as it operates in many domains in society. Through these practical engagements, students experience computing's contribution to sustainable development.
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.
The teaching and support of the programme is provided by the academic staff in the School of Computing.
Academic staff in the School are qualified to teach in higher education with most of them holding at least a Postgraduate Certificate in Higher Education Practice. The majority of academic staff in the School (90%) are accredited fellows or senior fellows of the Higher Education Academy (HEA) – the university sector professional body for teaching and learning. Within the School of Computing courses are taught by staff who are Professors (21%), Readers/Senior Lecturers (27%) and Lecturers (52%). Graduate Demonstrators and contract research staff support the academic staff who teach on the course in laboratory classes and programming clinics across all the years in the course including final year project support.
The academic members of staff are active in a range of research areas that inform the modules in the course.
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.
Figures from the academic year 2022-2023.
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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.
In this section
Year: 1
Status: C
Database management is a fundamental skill expected of Computing graduates. This module will introduce students to the fundamental concepts of database design, implementation, querying and management of relational database systems.
Year: 1
Status: C
This module will assume no prior experience in creating web pages and will introduce the design principles, structural elements and technical concepts that underpin web authoring.
Application of the technical concepts will be facilitated through the use of web authoring tools in practical sessions to enhance the technical skills for the creation and styling of interactive Websites.
Year: 1
Status: C
This module provides an introduction to core areas of mathematics that are commonly used by computer scientists. The relationship between set theory and propositional logic is explained, with applications to digital circuits. Mathematics for decision making is introduced, including their practical application. Probability, descriptive statistics and matrices are introduced, and their application to simple linear regression is used to motivate their use within data science.
Year: 1
Status: C
The aim of this module is to provide an understanding of the underlying systems that support the applications software. The theoretical concepts covered are illustrated by considering their practical application in modern real-world solutions.
Year: 1
Status: C
Computer programming is a fundamental skill expected of computing graduates. This module will introduce students to the foundational concepts of programming via Python that will be used as building blocks in future modules. Students will also develop and enhance their problem solving skills as an integral part of the module.
Year: 1
Status: C
This module is designed to make future computing professionals have the practical skills to cocreate innovative technological solutions to a problem using design thinking tools and processes and be aware of and take into consideration the nature of the legal, ethical, social and professional issues raised during any technological innovation.
Year: 2
Status: C
Computer networks are at the core of relatively large and modern computing systems. This module aims to equip learners with the appropriate skills to appreciate, understand and employ the key technologies used by interconnected devices in any networks. The module introduces the students to the basics of the networking field including components, topologies, architectures, functions, services, protocols, and standardisation.
Year: 2
Status: C
In the present day era of big data, this module will provide students with the theory and hands-on practical programming experience required for the undertaking of real-world data analytics tasks.
Year: 2
Status: C
This module introduces fundamental concepts related to computer system security. It presents a thorough discussion of the fundamental principles and technologies underpinning the field, covering concepts, terminology, cryptography, vulnerabilities, protocols and good security-oriented design.
The module provides an understanding of computing systems security concerns and how they can be addressed and mitigated so that security considerations are taken into account, and embedded in organisations and IT projects planning and management. This includes the communications within networked applications, security issues and cryptographic fundamentals
Year: 2
Status: C
The module builds upon the expertise acquired in Level 4 programming modules by expanding upon the students' understanding of data types and algorithms within the scope of object-oriented programming. The module focuses on providing students with practical skills for industry-focused software development.
Year: 2
Status: C
This module will expand on students' knowledge necessary for developing software systems to be deployed over the World Wide Web, with a specific focus on server-side technologies and techniques. Students will also be introduced to important design considerations for web applications currently in use in industry.
Year: 2
Status: C
The Software Product and Process Management module provides the opportunity for students to gain a sound theoretical understanding of contemporary product and process management techniques. There is also the opportunity to apply learning from within the module and from modules undertaken thus far while working cohesively and professionally as part of a software team towards the successful management and planning of software product that meets business needs.
Year: 3
Status: C
This module will introduce the key concepts of full-stack development and the tools used to implement a full-stack strategy. Students will be able to use what they learn from this module to develop robust software including APIs, database architectures and front-end applications according to industry standards.
Year: 3
Status: C
The Computing Project provides an opportunity to draw together learning from across the course, and to allow students to evidence their mastery of the academic content and of its application through professional practice. Through the opportunity to devise, manage and evaluate all aspects of work in addressing a significant challenge, students can gain independence and a deeper appreciation of their practice within the broader subject area and of its relationship to wider society.
Year: 3
Status: C
This module aims to explore a range of modern development and deployment concepts in the context of scalable and high performance computing services.
Within this module concepts such as cloud architectures, hosted technologies, scalable solutions and infrastructure will be explored. Additionally, advanced programming/development concepts facilitating high performance solution development will be examined.
Status: O
Year: 3
This module is optional
In the era of cloud computing and big data, this module will provide students with the theory and practical foundations for undertaking real world data analytics.
Status: O
Year: 3
This module is optional
The module provides the student with a deep understanding of the underlying communication protocols of personal, local area networks, wide area networks and inter-networks. The emphasis is on network planning, design and management. Issues such as acceptable network performance, detection of faults, maintaining security and effective management are studied as these are key to the successful operation of businesses. The module will address state of the art protocols and network case studies and can provide (i) an up to date viewpoint of Enterprise Networks for business and (ii) an opportunity for fostering research ideas in this discipline.
Status: O
Year: 3
This module is optional
The AI module is built on the foundations in mathematics, computing and programming. It covers logic based symbolic AI, knowledge representation and reasoning, introduction to machine learning paradigms and advanced learning methods of reinforcement and deep learning, and real-world applications in different human-AI interactions. The module will answer the following three questions: (1) how to formulate AI problems conceptually; (2) how to turn the conceptual formulations into algorithms; (3) how to develop AI-focused applications. The module will also consider societal and theoretical concerns raised while designing and deploying AI solutions regarding the ability of people to understand, interpret, control, and interact with AI-based systems.
Status: O
Year: 3
This module is optional
Computer Vision is an increasingly pervasive element of technology-based solutions in a range of applications, both standalone and distributed over the Internet, requiring an understanding of image and video processing fundamentals and how they are integrated with Machine Learning. This module seeks to develop the student's knowledge of Computer Vision by introducing techniques and tools that enable machines with a capacity to sense the world using visual data. The module also provides opportunities for the student to learn how to develop applications to solve Computer Vision tasks and to implement solutions using Computer Vision and Machine Learning software tools and libraries.
Status: O
Year: 3
This module is optional
This module explores the intersection between machine learning and embedded systems. The aim of Edge and Embedded Intelligence is to make Artificial Intelligence available on low-powered and computationally constrained devices such as microcontrollers. This module provides a foundation for students to understand this emerging field.
Status: O
Year: 3
This module is optional
This module introduces students to the software development strategies which underpin the realisation of embedded systems. Students will be required to create functional embedded system solutions, be creative in how they can be deployed across a range of application domains and appreciate the requirements of working within constrained environments
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.
In this section
Applicants must satisfy the University’s general entry requirements as set out in the prospectus or demonstrate their ability to undertake the course through the accreditation of prior experiential learning (APEL).
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. 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.
In this section
Graduates from this course are now working for:
With this degree you could become:
As a graduate with skills in Computing Science, you will have many careers opportunities available to you in a wide range of commercial and industrial organisations developing new software, as data scientist/analyst, project managers, systems analysts in planning and technical management, or information management and database environments. You may also work in marketing and sales or as a consultant.
Average salaries are often higher than those of other graduates and there are also opportunities for postgraduate study in computing, software development, artificial intelligence, IoT or a related area.
Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
A variety of scholarships, awards and prizes are available each year to reflect individual academic excellence in specific areas of study or across year groups.
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.
See the tuition fees on our student guide for most up to date costs.
We know that choosing to study at university is a big decision, and you may not always be able to find the information you need online.
Please contact Ulster University with any queries or questions you might have about:
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.
We look forward to hearing from you.
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.
