English Data Science for Food and Health — RIO 1001O8761
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)
- Data Science for Food and Health
- International names reported by the source (INTERNATIONALE_NAAM)
- Data Science for Food and Health
- Reported level labels (NIVEAU)
- WO-MA
- Reported degree labels (GRAAD)
- MASTER
- Recognised programme codes (ERKENDEOPLEIDINGSCODE)
- 60983
- 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 recognition evidence for this unit →
This link matches the original unit code only. The two sources may describe different institutions, campuses, study forms or dates; they do not establish matching current admissions.
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.
| Provider and source code | Reported place and location code | Study form | Teaching-language code | Evidence |
|---|---|---|---|---|
| Wageningen University 114A640 |
Wageningen 111X486 |
VOLTIJD | ENG | Source fields 1 → |
What to verify for this unit
- Use unit code 1001O8761 and the exact provider and location codes when checking the intended programme with its provider.
- Match VORM and VOERTAAL within the same contextual row, then check the current curriculum and teaching-language requirements with the provider.
- Check the original offering and intake dates below. An empty end date does not confirm an open intake or a current application deadline.
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 1001O8761; observed 2026-10-20. 1 contextual records below.
Original source fields
OPLEIDING · 1001O8761
Original record 2387
- AANGEBODEN_OPLEIDINGCODE
- 16a560df-4160-4059-a93f-b85b370b8873
- AANGEBODEN_OPLEIDING_BEGINDATUM
- 2022-09-01T00:00:00
- AANGEBODEN_OPLEIDING_EINDDATUM
- Not provided (null)
- BEGINDATUM
- 2022-09-01T00:00:00
- BUITENLANDSEPARTNER
- Not provided (null)
- DEFICIENTIE
- GEEN_DEFICIENTIES
- EERSTE_INSTROOMDATUM
- 2023-09-01T00:00:00
- EIGENNAAM
- Master's Data Science for Food and Health
- EIGENNAAM_DUITS
- Not provided (null)
- EIGENNAAM_ENGELS
- Master's Data Science for Food and Health
- EIGEN_AANGEBODEN_OPLEIDINGSLEUTEL
- 16a560df-4160-4059-a93f-b85b370b8873
- EINDDATUM
- Not provided (null)
- EISEN_WERKZAAMHEDEN
- GEEN_EISEN
- EQF
- 7
- ERKENDEOPLEIDINGSCODE
- 60983
- ERKENNER
- NVAO
- GRAAD
- MASTER
- INTERNATIONALE_NAAM
- Data Science for Food and Health
- LAATSTE_INSTROOMDATUM
- Not provided (null)
- NAAM_LANG
- Data Science for Food and Health
- NIVEAU
- WO-MA
- NLQF
- 7
- OMSCHRIJVING
- This Master's programme Data Science for Food and Health focuses on the application of data science techniques on the Food and Health domain, and in particular on the areas of lifestyle, consumer behaviour, nutrition and preventive health within this domain. \nGraduates of Data Science for Food and Health will be able to bridge the gap between new data science techniques on the one hand and the domain of Food and Health on the other. \nThese bridge builders are crucial intermediaries in creating data-driven interventions and solutions. The Master's programme in Data Science for Food and Health will train integrators who specialise in applying statistical and analytical instruments to the Food and Health domains at Wageningen University.
- ONDERWIJSAANBIEDERID
- 114A640
- ONDERWIJSAANBIEDER_NAAM
- Wageningen University
- ONDERWIJSBESTUURID
- 107B451
- ONDERWIJSBESTUUR_NAAM
- Wageningen University
- ONDERWIJSLOCATIECODE
- 111X486
- ONDERWIJSLOCATIEPLAATS
- Wageningen
- ONDERWIJSLOCATIESTRAAT
- Droevendaalsesteeg
- OPLEIDINGSEENHEIDCODE
- 1001O8761
- PENVOERDER
- Wageningen Universiteit/ Wageningen University
- PROPEDEUTISCHE_FASE
- GEEN_PROPEDEUTISCHE_FASE
- SAMENWERKEND_MET
- Not provided (null)
- SOORT
- OPLEIDING
- STUDIEKEUZECHECK
- GEEN_STUDIEKEUZE_CHECK
- STUDIELAST
- 120
- VARIANT_VAN
- Not provided (null)
- VERSNELD_TRAJECT
- GEEN_VERSNELD_TRAJECT
- VOERTAAL
- ENG
- VORM
- VOLTIJD
- WAARDEDOCUMENTSOORT
- GETUIGSCHRIFT
- WEBSITE
- https://www.wur.nl/en/education/master/masters-data-science-food-and-health