LoadingLoadingLoadingLoadingMaster scientifique · En ligne · Gratuit
Enseignement et évaluation en français
Question, jeu de données, modèle simple, limite. Cas administrations et enquêtes. Code commenté en français. Ce n'est pas un titre d'ingénieur d'État. Master Science des données appliquée is taught as one award, not a list of unrelated modules. The published length is 24 mois, and the credit total is 48. Students move from Statistique inférentielle through Statistique inférentielle; Programmation pour les données; Qualité des données; Visualisation responsable; Apprentissage supervisé — prudence; Mémoire, and finish on Mémoire. Each course has a question, a method, and a submission. In this field, students apply the method of the subject to a defined problem and defend the result. Reading is a core text, a case or dataset, and a critique. The artefact a marker expects is a submission that shows the method, the evidence, and the limit of the claim. The award is built so that a graduate can do the following in practice: Formuler une question Nettoyer un fichier Ajuster un modèle simple 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.
24 mois · 48 crédits
Ce diplôme est académique et entièrement en ligne. Il ne remplace pas une licence d'ordre professionnel, un concours d'État, ni une équivalence ministérielle automatique.
Encadrement
Data scientists francophones du public et du développement.
FR-DA101 · 6 crédits
Statistique inférentielle
Statistique inférentielle (FR-DA101) is a 6-credit course on Master Science des données appliquée, with 60 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Statistique inférentielle 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
FR-DA102 · 6 crédits
Programmation pour les données
Programmation pour les données (FR-DA102) is a 6-credit course on Master Science des données appliquée, with 60 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Programmation pour les données 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
FR-DA103 · 6 crédits
Qualité des données
Qualité des données (FR-DA103) is a 6-credit course on Master Science des données appliquée, with 60 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Qualité des données 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
FR-DA104 · 6 crédits
Visualisation responsable
Visualisation responsable (FR-DA104) is a 6-credit course on Master Science des données appliquée, with 60 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Visualisation responsable 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
FR-DA201 · 6 crédits
Apprentissage supervisé — prudence
Apprentissage supervisé — prudence (FR-DA201) is a 6-credit course on Master Science des données appliquée, with 60 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Apprentissage supervisé — prudence 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
FR-DA202 · 18 crédits
Mémoire
Mémoire (FR-DA202) is a 18-credit course on Master Science des données appliquée, with 180 notional learning hours. By the end, students can apply the method of the subject to a defined problem and defend the result, using Mémoire 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 core text, a case or dataset, and a critique. Seminar time is for the decision, not for reading the materials aloud. Assessment is a submission that shows the method, the evidence, and the limit of the claim. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
Intitulés de postes, pas des garanties d'emploi.
Contrôle continu, projets et examens selon les modules. Les fenêtres d'examen sont annoncées pour respecter les fuseaux. Des aménagements existent sur justificatif.
Durée publiée : 24 mois. Langue d'enseignement : français (enseignement et évaluation).
Parcours entièrement en ligne : vous étudiez depuis votre pays, sans visa étudiant ni déménagement.
Les droits de scolarité de ce diplôme en ligne sont publiés à 0 £. Des frais d'examen ou d'administration peuvent s'appliquer — jamais une scolarité annuelle cachée.
Consultez les blocs ci-dessus : académique, langue, pièces. Les doctorats exigent un projet de recherche et un entretien.
La reconnaissance locale (employeur, ordre, ministère) relève de votre juridiction. L'université publie des pages de vérification. Nous ne promettons pas d'équivalence automatique.
Déposez une candidature en ligne. Votre dossier est enregistré. admissions@afutureuni.com
Non. Les programmes dont le slug commence par fr- sont enseignés et évalués en français. Le MBA anglais (slug mba) reste un autre award.