LoadingLoadingLoadingLoadingDual Master of Science (2 Degrees) — Conferred jointly with Arab Leadership University (ALU) & The American University in Cairo (AUC Network)
الجامعة الأمريكية بالقاهرة (مصر)
Online only
Master modern AI architecture, sovereign cloud governance, big data infrastructure, and regulatory digital policy tailored to national vision strategies. Students earn 2 independent accredited diplomas with a 60% / 40% international credit split. MSc Digital Transformation & AI Governance (Dual Award) is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 36. Students move from Institutions and rules through Institutions and rules; Argument; Documents; Research project; Institutions and rules (MSC-605); Argument (MSC-606), and finish on Argument (MSC-606). Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation. The award is built so that a graduate can do the following in practice: Dual Master of Science diplomas with full regional and international recognition Hands-on digital transformation capstone projects solving real public/private sector challenges Comprehensive bilingual (English/Arabic) learning resources and AI labs 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.
Study online
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code | Course | Credits · hours |
|---|---|---|
| MSC-601 | Institutions and rules Institutions and rules (MSC-601) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Institutions and rules 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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 6 · 60 h |
| MSC-602 | Argument Argument (MSC-602) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Argument 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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 6 · 60 h |
| MSC-603 | Documents Documents (MSC-603) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Documents 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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 6 · 60 h |
| Code | Course | Credits · hours |
|---|---|---|
| MSC-604 | Research project Research project (MSC-604) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Research project 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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
|
| Code | Course | Credits · hours |
|---|---|---|
| MSC-606 | Argument (MSC-606) Argument (MSC-606) (MSC-606) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Argument (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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
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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.
The published duration is 18 months. Teaching language: Arabic / English. Actual time-to-complete depends on mode and any recognised prior learning.
This is a fully online award. You study from your country. No student visa and no campus relocation are required.
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.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
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.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Arab Leadership University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@aleaderuni.com.
Recognised & Accredited
| 6 · 60 h |
| MSC-605 | Institutions and rules (MSC-605) Institutions and rules (MSC-605) (MSC-605) is a 6-credit course on MSc Digital Transformation & AI Governance (Dual Award), with 60 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Institutions and rules (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 dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 6 · 60 h |
| 6 · 60 h |