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Dual doctoral award in data science — Conferred jointly with Crownshire University (UK) & IU International University of Applied Sciences (Germany)
IU International University of Applied Sciences (Germany)
Online or on campus
A research doctorate in data science. The thesis must pose a question, measure it, and report where the method fails. IU International University of Applied Sciences moderates the research design and the examination. Students earn 2 independent accredited diplomas with a 60% / 40% international credit split. PhD Data Science (Dual Award) is taught as one award, not a list of unrelated modules. The published length is 48 months, and the credit total is 540. Students move from Data and measurement through Data and measurement, and finish on Data and measurement. 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: A supervised thesis with a stated limit on the evidence Methods in measurement, modelling, and error Partner moderation with IU International 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.
Complete your PhD Data Science (Dual Award) fully online from anywhere in the world with faculty-led modules and flexible scheduling.
Attend seminars and access facilities in person at Crownshire University. Campus tuition and campus examinations are charged.
| Code | Course | Credits · hours |
|---|---|---|
| PHD-101 | Data and measurement Students define the question, the unit of analysis, and the fields that can answer it.
| 108 |
| PHD-102 | Models that can be checked Students fit a simple predictive model and report where it fails.
| 108 |
| Code | Course | Credits · hours |
|---|---|---|
| PHD-201 | Deployment and care Students specify how a model is monitored, corrected, and withdrawn.
| 162 |
| PHD-202 | Analytics project Students complete a supervised project with a method, a result, and a limitation.
| 162 |
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 48 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
You may study this award fully online from your country, or — where published — on campus at Crownshire. Online study does not require a student visa. Campus study may.
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, research). 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. Crownshire 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@crownuni.com.
Recognized & Accredited
