MSc

Dual Award · Conferred with جامعة القاهرة

MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award)

Dual Master of Science (2 Diplomas) — Conferred jointly with Imperial University in Cairo (IUC) & Cairo University (Faculty of Arts & Computers)

Joint Awarding Institution2 Diplomas

جامعة القاهرة (مصر)

Credit Allocation60% ALU / 40% Cairo Univ

Online & New Capital Campus

4 Semesters (2 Years)36 creditsArabic / English

Begin your application Explore programme

MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award)

Overview

Pioneering postgraduate program bridging classical Arabic grammar, computational lexicography, and modern natural language processing with Cairo University. Students earn 2 independent accredited diplomas with a 60% / 40% international credit split. MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award) is taught as one award, not a list of unrelated modules. The published length is 4 Semesters (2 Years), and the credit total is 36. Students move from Methods in MSc Computational Arabic Linguistics & NLP through Methods in MSc Computational Arabic Linguistics & NLP; Cases in MSc Computational Arabic Linguistics & NLP; Practice in MSc Computational Arabic Linguistics & NLP; Project in MSc Computational Arabic Linguistics & NLP; Methods in MSc Computational Arabic Linguistics & NLP (MSC-605); Cases in MSc Computational Arabic Linguistics & NLP (MSC-606), and finish on Cases in MSc Computational Arabic Linguistics & NLP (MSC-606). Each course has a question, a method, and a submission. In this field, students specify a small system, show how it was tested, and state how it fails. Reading is a specification, a test note, and an incident or post-mortem. The artefact a marker expects is a specification or reviewed component with tests and a trade-off note. The award is built so that a graduate can do the following in practice: Dual Master of Science in Computational Linguistics & Arabic AI Building morphological analyzers and dialectal tokenizers for Arabic Supervised by leading Arabic grammarians and AI computer scientists Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.

How you can study

Digital only

Study online

100% tuition-free online

Online tuition is completely free. Study from anywhere in Egypt, the Arab region, and worldwide with full digital flexibility.

✦ Tuition: £0 / $0
✦ Examinations are free. There is no exam fee.
✦ Learn from anywhere · Live online seminars

Apply online →

What You Will Learn

Dual Master of Science in Computational Linguistics & Arabic AI
Building morphological analyzers and dialectal tokenizers for Arabic
Supervised by leading Arabic grammarians and AI computer scientists
High demand across AI tech labs and government language initiatives

Curriculum

Stage 1 — Core Host Foundations (18 Credits)

Code	Course	Credits · hours
MSC-601	Methods in MSc Computational Arabic Linguistics & NLP Methods in MSc Computational Arabic Linguistics & NLP (MSC-601) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Methods in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-601-M1 · Users, components, and the interface between parts — Methods in MSc Computational Arabic Linguistics & NLP MSC-601-M2 · Build, test, failure, and fix — Methods in MSc Computational Arabic Linguistics & NLP MSC-601-M3 · Deployment, logs, and recovery — Methods in MSc Computational Arabic Linguistics & NLP MSC-601-M4 · Trade-offs the designer must defend — Methods in MSc Computational Arabic Linguistics & NLP MSC-601-M5 · Security and failure in ordinary operation — Methods in MSc Computational Arabic Linguistics & NLP MSC-601-M6 · A supervised build or design with a defence — Methods in MSc Computational Arabic Linguistics & NLP	6 · 60 h
MSC-602	Cases in MSc Computational Arabic Linguistics & NLP Cases in MSc Computational Arabic Linguistics & NLP (MSC-602) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Cases in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-602-M1 · Users, components, and the interface between parts — Cases in MSc Computational Arabic Linguistics & NLP MSC-602-M2 · Build, test, failure, and fix — Cases in MSc Computational Arabic Linguistics & NLP MSC-602-M3 · Deployment, logs, and recovery — Cases in MSc Computational Arabic Linguistics & NLP MSC-602-M4 · Trade-offs the designer must defend — Cases in MSc Computational Arabic Linguistics & NLP MSC-602-M5 · Security and failure in ordinary operation — Cases in MSc Computational Arabic Linguistics & NLP MSC-602-M6 · A supervised build or design with a defence — Cases in MSc Computational Arabic Linguistics & NLP	6 · 60 h
MSC-603	Practice in MSc Computational Arabic Linguistics & NLP Practice in MSc Computational Arabic Linguistics & NLP (MSC-603) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Practice in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-603-M1 · Users, components, and the interface between parts — Practice in MSc Computational Arabic Linguistics & NLP MSC-603-M2 · Build, test, failure, and fix — Practice in MSc Computational Arabic Linguistics & NLP MSC-603-M3 · Deployment, logs, and recovery — Practice in MSc Computational Arabic Linguistics & NLP MSC-603-M4 · Trade-offs the designer must defend — Practice in MSc Computational Arabic Linguistics & NLP MSC-603-M5 · Security and failure in ordinary operation — Practice in MSc Computational Arabic Linguistics & NLP MSC-603-M6 · A supervised build or design with a defence — Practice in MSc Computational Arabic Linguistics & NLP	6 · 60 h

Code

Course

Credits · hours

MSC-601

Methods in MSc Computational Arabic Linguistics & NLP

Methods in MSc Computational Arabic Linguistics & NLP (MSC-601) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Methods in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-601-M1 · Users, components, and the interface between parts — Methods in MSc Computational Arabic Linguistics & NLP
MSC-601-M2 · Build, test, failure, and fix — Methods in MSc Computational Arabic Linguistics & NLP
MSC-601-M3 · Deployment, logs, and recovery — Methods in MSc Computational Arabic Linguistics & NLP
MSC-601-M4 · Trade-offs the designer must defend — Methods in MSc Computational Arabic Linguistics & NLP
MSC-601-M5 · Security and failure in ordinary operation — Methods in MSc Computational Arabic Linguistics & NLP
MSC-601-M6 · A supervised build or design with a defence — Methods in MSc Computational Arabic Linguistics & NLP

6 · 60 h

MSC-602

Cases in MSc Computational Arabic Linguistics & NLP

Cases in MSc Computational Arabic Linguistics & NLP (MSC-602) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Cases in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-602-M1 · Users, components, and the interface between parts — Cases in MSc Computational Arabic Linguistics & NLP
MSC-602-M2 · Build, test, failure, and fix — Cases in MSc Computational Arabic Linguistics & NLP
MSC-602-M3 · Deployment, logs, and recovery — Cases in MSc Computational Arabic Linguistics & NLP
MSC-602-M4 · Trade-offs the designer must defend — Cases in MSc Computational Arabic Linguistics & NLP
MSC-602-M5 · Security and failure in ordinary operation — Cases in MSc Computational Arabic Linguistics & NLP
MSC-602-M6 · A supervised build or design with a defence — Cases in MSc Computational Arabic Linguistics & NLP

6 · 60 h

MSC-603

Practice in MSc Computational Arabic Linguistics & NLP

Practice in MSc Computational Arabic Linguistics & NLP (MSC-603) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Practice in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-603-M1 · Users, components, and the interface between parts — Practice in MSc Computational Arabic Linguistics & NLP
MSC-603-M2 · Build, test, failure, and fix — Practice in MSc Computational Arabic Linguistics & NLP
MSC-603-M3 · Deployment, logs, and recovery — Practice in MSc Computational Arabic Linguistics & NLP
MSC-603-M4 · Trade-offs the designer must defend — Practice in MSc Computational Arabic Linguistics & NLP
MSC-603-M5 · Security and failure in ordinary operation — Practice in MSc Computational Arabic Linguistics & NLP
MSC-603-M6 · A supervised build or design with a defence — Practice in MSc Computational Arabic Linguistics & NLP

6 · 60 h

Stage 2 — Partner Moderated Advanced Specialisation (12 Credits)

Code	Course	Credits · hours
MSC-604	Project in MSc Computational Arabic Linguistics & NLP Project in MSc Computational Arabic Linguistics & NLP (MSC-604) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Project in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-604-M1 · Users, components, and the interface between parts — Project in MSc Computational Arabic Linguistics & NLP MSC-604-M2 · Build, test, failure, and fix — Project in MSc Computational Arabic Linguistics & NLP MSC-604-M3 · Deployment, logs, and recovery — Project in MSc Computational Arabic Linguistics & NLP MSC-604-M4 · Trade-offs the designer must defend — Project in MSc Computational Arabic Linguistics & NLP MSC-604-M5 · Security and failure in ordinary operation — Project in MSc Computational Arabic Linguistics & NLP MSC-604-M6 · A supervised build or design with a defence — Project in MSc Computational Arabic Linguistics & NLP	6 · 60 h
MSC-605	Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) (MSC-605) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-605-M1 · Users, components, and the interface between parts — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) MSC-605-M2 · Build, test, failure, and fix — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) MSC-605-M3 · Deployment, logs, and recovery — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) MSC-605-M4 · Trade-offs the designer must defend — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) MSC-605-M5 · Security and failure in ordinary operation — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) MSC-605-M6 · A supervised build or design with a defence — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)	6 · 60 h

Code

Course

Credits · hours

MSC-604

Project in MSc Computational Arabic Linguistics & NLP

Project in MSc Computational Arabic Linguistics & NLP (MSC-604) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Project in MSc Computational Arabic Linguistics & NLP as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-604-M1 · Users, components, and the interface between parts — Project in MSc Computational Arabic Linguistics & NLP
MSC-604-M2 · Build, test, failure, and fix — Project in MSc Computational Arabic Linguistics & NLP
MSC-604-M3 · Deployment, logs, and recovery — Project in MSc Computational Arabic Linguistics & NLP
MSC-604-M4 · Trade-offs the designer must defend — Project in MSc Computational Arabic Linguistics & NLP
MSC-604-M5 · Security and failure in ordinary operation — Project in MSc Computational Arabic Linguistics & NLP
MSC-604-M6 · A supervised build or design with a defence — Project in MSc Computational Arabic Linguistics & NLP

6 · 60 h

MSC-605

Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)

Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) (MSC-605) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Methods in MSc Computational Arabic Linguistics & NLP (MSC-605) as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-605-M1 · Users, components, and the interface between parts — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)
MSC-605-M2 · Build, test, failure, and fix — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)
MSC-605-M3 · Deployment, logs, and recovery — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)
MSC-605-M4 · Trade-offs the designer must defend — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)
MSC-605-M5 · Security and failure in ordinary operation — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)
MSC-605-M6 · A supervised build or design with a defence — Methods in MSc Computational Arabic Linguistics & NLP (MSC-605)

6 · 60 h

Stage 3 — Applied Research Capstone (6 Credits)

Code	Course	Credits · hours
MSC-606	Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) (MSC-606) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. MSC-606-M1 · Users, components, and the interface between parts — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) MSC-606-M2 · Build, test, failure, and fix — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) MSC-606-M3 · Deployment, logs, and recovery — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) MSC-606-M4 · Trade-offs the designer must defend — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) MSC-606-M5 · Security and failure in ordinary operation — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) MSC-606-M6 · A supervised build or design with a defence — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)	6 · 60 h

Code

Course

Credits · hours

MSC-606

Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)

Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) (MSC-606) is a 6-credit course on MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award), with 60 notional learning hours. By the end, students can specify a small system, show how it was tested, and state how it fails, using Cases in MSc Computational Arabic Linguistics & NLP (MSC-606) as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a specification, a test note, and an incident or post-mortem. Seminar time is for the decision, not for reading the materials aloud. Assessment is a specification or reviewed component with tests and a trade-off note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.

MSC-606-M1 · Users, components, and the interface between parts — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)
MSC-606-M2 · Build, test, failure, and fix — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)
MSC-606-M3 · Deployment, logs, and recovery — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)
MSC-606-M4 · Trade-offs the designer must defend — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)
MSC-606-M5 · Security and failure in ordinary operation — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)
MSC-606-M6 · A supervised build or design with a defence — Cases in MSc Computational Arabic Linguistics & NLP (MSC-606)

6 · 60 h

Career Paths

Arabic NLP Research Scientist
Computational Lexicographer
AI Prompt & Language Engineer
Digital Arabic Corpus Director

Programme Highlights

2 Accredited Diplomas
60% / 40% International Credit Split
Awarded by: Imperial University in Cairo (IUC) & Cairo University (Faculty of Arts & Computers)
Delivery: 100% Online

Assessment

Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.

Admission requirements

Academic entry

Bachelor's degree from an accredited institution (minimum 2:2 or GPA 2.5/4.0)

English language

English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study)

Documents

Statement of Purpose (500 words minimum) outlining your goals and fit for the programme
Two academic or professional references with contact details
CV or résumé documenting relevant education and professional experience

Programme questions

How long is the MSc Computational Arabic Linguistics & NLP (Cairo University Dual Award)?

The published duration is 4 Semesters (2 Years). Teaching language: Arabic / English. Actual time-to-complete depends on mode and any recognised prior learning.

Can I study this from my country?

You may study this award fully online from your country, or — where published — on campus at IUC. Online study does not require a student visa. Campus study may.

What does it cost?

Degree tuition for this award is published as £0 / tuition-free on the online pathway. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.

What are the entry requirements?

Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.

How is the programme assessed?

Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.

Will this award be recognised where I live?

Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Imperial University in Cairo publishes verification pages for certificates. We do not claim automatic equivalence in every country.

How do I apply?

Start an application on this website. Progress is saved from the first step. Admissions: admissions@iucairo.co.uk.

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