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Source text keeps its original language.

Master's Sustainable Supply Chain Analytics — RIO 1016O0974

Programme evidence at a glance

This unit has 1 contextual record containing 1 retained source row, with 1 distinct provider code. These are source-record counts, not separate degrees, available places or open applications. Source-name aliases do not create extra contextual records.

Original programme names (NAAM_LANG)
Master's Sustainable Supply Chain Analytics
International names reported by the source (INTERNATIONALE_NAAM)
Master's Sustainable Supply Chain Analytics
Reported level labels (NIVEAU)
WO-MA
Reported degree labels (GRAAD)
MASTER
Recognised programme codes (ERKENDEOPLEIDINGSCODE)
Not provided in these source rows
Reported study-form labels (VORM)
VOLTIJD
Reported study-load values (STUDIELAST)
120
Teaching-language codes (VOERTAAL)
ENG

Source collection date (UTC): 2026-10-20. Collection dates describe the stored evidence, not the current application year.

Compare the reported contexts

Read across each row to keep its provider, location, study form and teaching language together. Values from different rows should not be combined into one offering.

One row per contextual record; names, codes and classifications remain as reported.
Provider and source codeReported place and location codeStudy formTeaching-language codeEvidence
Wageningen University
114A640
Wageningen
111X486
VOLTIJDENG Source fields 1 →

What to verify for this unit

Original DUO RIO overview of funded current and future higher education education records. OPLEIDING means a programme and VARIANT a programme variant. Each unit page groups only the original OPLEIDINGSEENHEIDCODE; an offering or location is not counted as a separate degree. The list does not cover every private provider or guarantee that applications are open.

Reported start, end and intake dates remain source evidence rather than a promise of current availability. A missing end date does not establish an open intake. Names, qualification labels, codes, languages and missing values remain in Dutch. No CIP equivalence, inferred admissions conditions or institution-name matches are added. Contextual offering records and source-name aliases are preserved together.

Source: DUO official dataset and Creative Commons Attribution licence statement; official RIO delivery specification v2.0. Original language nl; English explanations and grouping added by CollegeVerse, which DUO does not endorse. Verify current availability with the provider.

Original RIO unit 1016O0974; observed 2026-10-20. 1 contextual records below.

Original source fields

VARIANT · 1016O0974

Original record 2397
AANGEBODEN_OPLEIDINGCODE
00221434-4573-4c77-86fe-c88731f679a8
AANGEBODEN_OPLEIDING_BEGINDATUM
2022-09-01T00:00:00
AANGEBODEN_OPLEIDING_EINDDATUM
Not provided (null)
BEGINDATUM
Not provided (null)
BUITENLANDSEPARTNER
Not provided (null)
DEFICIENTIE
GEEN_DEFICIENTIES
EERSTE_INSTROOMDATUM
2023-09-01T00:00:00
EIGENNAAM
Master's Sustainable Supply Chain Analytics
EIGENNAAM_DUITS
Not provided (null)
EIGENNAAM_ENGELS
Master's Sustainable Supply Chain Analytics
EIGEN_AANGEBODEN_OPLEIDINGSLEUTEL
00221434-4573-4c77-86fe-c88731f679a8
EINDDATUM
Not provided (null)
EISEN_WERKZAAMHEDEN
GEEN_EISEN
EQF
7
ERKENDEOPLEIDINGSCODE
Not provided (null)
ERKENNER
NVAO
GRAAD
MASTER
INTERNATIONALE_NAAM
Master's Sustainable Supply Chain Analytics
LAATSTE_INSTROOMDATUM
Not provided (null)
NAAM_LANG
Master's Sustainable Supply Chain Analytics
NIVEAU
WO-MA
NLQF
7
OMSCHRIJVING
This programme provides theory, tools, and techniques for generically applicable analytical methods to analyse sustainable supply chains in life sciences. The core of the programme consists of an integrated approach to the three dominant perspectives in supply chains, i.e., the material flows, the finance flows, and the information or data flows. Students foremost deepen, integrate, and apply their knowledge in: \n- management of operations and products flow control; \n- economic performance, risks, and supply chain resilience; \n- information technology and data science. \nMoreover, students are trained to become valuable, academically skilled generalists who understand supply chain processes, envision how new developments can be applied to make a sustainable impact, and have learned how complex decision problems in supply chains should and can be solved in practice.
ONDERWIJSAANBIEDERID
114A640
ONDERWIJSAANBIEDER_NAAM
Wageningen University
ONDERWIJSBESTUURID
107B451
ONDERWIJSBESTUUR_NAAM
Wageningen University
ONDERWIJSLOCATIECODE
111X486
ONDERWIJSLOCATIEPLAATS
Wageningen
ONDERWIJSLOCATIESTRAAT
Droevendaalsesteeg
OPLEIDINGSEENHEIDCODE
1016O0974
PENVOERDER
Wageningen Universiteit/ Wageningen University
PROPEDEUTISCHE_FASE
GEEN_PROPEDEUTISCHE_FASE
SAMENWERKEND_MET
Not provided (null)
SOORT
VARIANT
STUDIEKEUZECHECK
GEEN_STUDIEKEUZE_CHECK
STUDIELAST
120
VARIANT_VAN
66836
VERSNELD_TRAJECT
GEEN_VERSNELD_TRAJECT
VOERTAAL
ENG
VORM
VOLTIJD
WAARDEDOCUMENTSOORT
GETUIGSCHRIFT
WEBSITE
https://www.wur.nl/en/education/master/masters-sustainable-supply-chain-analytics
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