LoadingLoadingLoadingLoading
IU International University of Applied Sciences (Germany)
Online only
Deep neural networks, reinforcement learning, EU AI Act compliance, and German state-accredited ECTS credits with IU Germany.
Study online
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code | Course | Credits · hours |
|---|---|---|
| MSC501 | Questions, units, and data quality Questions, units, and data quality (MSC501) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 23 credits and 230 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 23 · 230 h |
| MSC502 | Statistical inference and a mistaken claim Statistical inference and a mistaken claim (MSC502) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 23 credits and 230 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 23 · 230 h |
| MSC503 | Machine learning, baselines, and leakage Machine learning, baselines, and leakage (MSC503) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 23 credits and 230 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 23 · 230 h |
| Code | Course | Credits · hours |
|---|---|---|
| MSC504 | Evaluation, error analysis, and harm Evaluation, error analysis, and harm (MSC504) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 23 credits and 230 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 23 · 230 h |
| MSC505 | Data engineering and reproducible pipelines Data engineering and reproducible pipelines (MSC505) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 22 credits and 220 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 22 · 220 h |
| MSC506 | Responsible use, governance, and human review Responsible use, governance, and human review (MSC506) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 22 credits and 220 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 22 · 220 h |
| Code | Course | Credits · hours |
|---|---|---|
| MSC507 | Deployment, monitoring, and drift Deployment, monitoring, and drift (MSC507) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 22 credits and 220 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 22 · 220 h |
| MSC508 | Capstone: a method, a result, and the limitation Capstone: a method, a result, and the limitation (MSC508) is a course on MSc Artificial Intelligence & Applied Machine Learning (IU Germany Dual Award). It carries 22 credits and 220 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. GlobalMind University teaches this course on the published route for this degree.
| 22 · 220 h |
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: 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. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.
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. GlobalMind 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@gmuniv.com.
Recognised & Accredited
