English Statistics and Data Science — RIO 1001O7137
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)
- Statistics and Data Science
- International names reported by the source (INTERNATIONALE_NAAM)
- Statistics and Data Science
- Reported level labels (NIVEAU)
- WO-MA
- Reported degree labels (GRAAD)
- MASTER
- Recognised programme codes (ERKENDEOPLEIDINGSCODE)
- 60957
- 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 |
|---|---|---|---|---|
| Universiteit Leiden 114A561 |
Leiden 114X175 |
VOLTIJD | ENG | Source fields 1 → |
What to verify for this unit
- Use unit code 1001O7137 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 1001O7137; observed 2026-10-20. 1 contextual records below.
Original source fields
OPLEIDING · 1001O7137
Original record 6254
- AANGEBODEN_OPLEIDINGCODE
- c1b32d51-ecb3-4320-8ba2-04bb4a759df8
- AANGEBODEN_OPLEIDING_BEGINDATUM
- 2016-09-01T00:00:00
- AANGEBODEN_OPLEIDING_EINDDATUM
- Not provided (null)
- BEGINDATUM
- 2016-09-01T00:00:00
- BUITENLANDSEPARTNER
- Not provided (null)
- DEFICIENTIE
- GEEN_DEFICIENTIES
- EERSTE_INSTROOMDATUM
- 2016-09-01T00:00:00
- EIGENNAAM
- Statistics and Data Science
- EIGENNAAM_DUITS
- Not provided (null)
- EIGENNAAM_ENGELS
- Statistics and Data Science
- EIGEN_AANGEBODEN_OPLEIDINGSLEUTEL
- c1b32d51-ecb3-4320-8ba2-04bb4a759df8
- EINDDATUM
- Not provided (null)
- EISEN_WERKZAAMHEDEN
- GEEN_EISEN
- EQF
- 7
- ERKENDEOPLEIDINGSCODE
- 60957
- ERKENNER
- NVAO
- GRAAD
- MASTER
- INTERNATIONALE_NAAM
- Statistics and Data Science
- LAATSTE_INSTROOMDATUM
- Not provided (null)
- NAAM_LANG
- Statistics and Data Science
- NIVEAU
- WO-MA
- NLQF
- 7
- OMSCHRIJVING
- The master programme Statistics and Data Science is organised jointly by groups at different institutes and universities:\n\n* Mathematical Institute, Leiden University\n* Faculty of Social and Behavioural Sciences, Leiden University\n* Department of Biomedical Data Sciences, Leiden University Medical Center\n* Biometris – Applied Statistics, Wageningen University and Research centre\n\nTogether these institutes have expertise in a wide area of statistics and data science both practical and theoretical. Many of the scientific staff members are involved in other educational tasks, conduct research on methods, participate in multi disciplinary research projects and perform consultations.\nThe Statistics and Data Science programme provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis, with a focus on applications in the life and behavioral sciences. It is open to students with a variety of backgrounds, both in the applied domains (e.g. psychology, biology, medicine), and in quantitative domains like mathematics and statistics. It aims to educate multidisciplinary researchers and professionals that can combine theory and application. Students gain knowledge of methods and research designs as used in a broad range of empirical research, and practical skills such as statistical programming, statistical consultation, and written and oral communication of research results.\nThe nominal duration of the programme will be two years (120 ECTS).\n\n### Statistics and Data Science graduates’ skills and competences\n\nThe Statistics and Data Science programme provides the students with a thorough knowledge of\n\n* Statistical and data science methods and research designs as used in a broad range of empirical research\n* Practical skills such as researching, analyzing, programming, consultation, and written and oral communication of research results.\n\nThe successful student will gain a thorough understanding of statistical models and data science methods, their implementation and their interpretation, and develop the ability to invent new models and techniques when needed. Graduates will thus qualify for jobs in a wide range of areas, such as many types of industry (pharmaceutical, agricultural, food, life science in general, oil, etc.), research institutes, academic hospitals, financial institutions, government statistics bureaus, educational services (CITO), marketing bureaus. In view of the emphasis on statistics and data science as a science, rather than as merely a collection of techniques, many graduates will qualify for a PhD programme as well.
- ONDERWIJSAANBIEDERID
- 114A561
- ONDERWIJSAANBIEDER_NAAM
- Universiteit Leiden
- ONDERWIJSBESTUURID
- 107B578
- ONDERWIJSBESTUUR_NAAM
- Universiteit Leiden
- ONDERWIJSLOCATIECODE
- 114X175
- ONDERWIJSLOCATIEPLAATS
- Leiden
- ONDERWIJSLOCATIESTRAAT
- Rapenburg
- OPLEIDINGSEENHEIDCODE
- 1001O7137
- PENVOERDER
- Universiteit Leiden
- 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
- Not provided (null)