Course Overview
FdSc Software Engineering with Artificial Intelligence is a new foundation degree programme delivered at NCUC and aligned to the HTQ Software Developer occupational standard. The programme develops practical software engineering skills through programming, databases, dynamic and secure web development, systems design, testing and DevOps, while embedding artificial intelligence through object-oriented AI-enabled applications, emerging technologies, generative AI, automation, API integration, machine learning concepts and responsible AI practice.
Students study Level 4 modules in databases, programming, object-oriented programming with AI, dynamic website development, academic skills and vocational practice. At Level 5, they progress into secure website development, systems design and testing, emerging technologies, DevOps, pre-professional identity and a vocational work project.
The teaching approach combines lectures, workshops, seminars, tutorials, independent study, practical development work and scenario-based learning. Assessment is largely project-based, with students producing technical artefacts, reports, designs, test plans, presentations, professional discussions and reflective evidence. The programme places strong emphasis on employability, professional identity, communication, teamwork, commercial awareness, responsible AI use and preparation for software engineering or AI-related employment.
The programme places strong emphasis on employability, professional identity, communication, teamwork, commercial awareness, responsible AI use and preparation for software engineering or AI-related employment.
Applicants are normally expected to have achieved grade 4 or higher in GCSE Maths and English or the Level 2 equivalent (i.e. Functional Skills or Adult Literacy/Numeracy).
Schedule: 1 day online, 1 day on campus
CertHE in Software Engineering with Artificial Intelligence is offered by Newcastle Group in partnership with PEN. Students can choose from flexible class schedules such as Weekday, allowing them to balance education with other commitments. The programme is offered in Full Time study modes, ensuring accessibility for learners. It supports various academic pathways, including CertHE levels, making it suitable for a wide range of students seeking professional or academic advancement. This course is available across key study locations including London. To help you navigate, direct Google Maps links are provided for each location.
Available Campuses for CertHE in Software Engineering with Artificial Intelligence
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Canary Wharf
Exchange Tower Harbour, Exchange Square, 9th and 10th Floor, London, E14 9GE
View on Google mapsUpcoming intake Sep 2026Application deadline 26 Aug 2026 12 days remaining
Campus locations on the map
English Language Requirements
Accepted English Language Qualifications
✅ GCSE English Language
- Grade 4/C or above
✅ IELTS
- Overall score of 5.5
✅ Level 2 Functional Skills Qualification in English
✅ Interview
- Every applicant must attend an interview as part of the admission process.
Entry Requirements
1. Standard Route (Qualification-Based Entry)
Applicants must meet one of the following requirements:
UK Qualifications
✅ UK Level 3 qualification with a minimum of 120 credits
OR
✅ UK Level 3 qualification with a minimum of 64 UCAS Tariff points
(UCAS Tariff points are used by many UK institutions to compare different Level 3 qualifications.)
OR
✅ EU/Overseas High School Diploma
- Qualification must be equivalent to UK Level 3
2. Non-Standard Route (Over 21 – Work Experience Route)
Applicants aged 21 or above may be considered through relevant work experience.
Requirements:
✅ CV
- Must show at least 2 years of relevant work experience
✅ Proof of Work Experience / Employment
- Evidence of previous employment or professional experience must be provided.
Interview Process
Interview Requirements:
- Portal Interview Booking: Students need to book their interview through the portal.
- Speaking & Writing Test: Students must complete the speaking and writing test.
- CV Submission: Student CV must be submitted before the interview.
- CV should be prepared and checked before the Viva/Interview.
- Viva / Interview: Students must attend the Viva/Interview after completing the required steps.
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