61 datasets found
  1. US Data Science and Analytics Master's Programs

    • kaggle.com
    Updated Mar 26, 2024
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    Shahriar Kabir (2024). US Data Science and Analytics Master's Programs [Dataset]. https://www.kaggle.com/datasets/shahriarkabir/us-data-science-and-analytics-masters-programs
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shahriar Kabir
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.

    Column Descriptions:

    • Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.

    • University Name: The name of the university offering the master's program.

    • Per Year Fees: The tuition fees for the program, usually given in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or for full-time enrollment, respectively.

    • About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.

    • Program Duration: The duration of the master's program, typically expressed in years or months.

    • University Location: The location of the university where the program is offered, including the city and state.

    • Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

  2. I

    Global Massive Open Online Courses (MOOC) Market Future Outlook 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jul 2025
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    Stats N Data (2025). Global Massive Open Online Courses (MOOC) Market Future Outlook 2025-2032 [Dataset]. https://www.statsndata.org/report/massive-open-online-courses-mooc-market-137971
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    pdf, excelAvailable download formats
    Dataset updated
    Jul 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Massive Open Online Courses (MOOC) market has transformed the landscape of education, revolutionizing how learners access knowledge across the globe. As an innovative approach to education, MOOCs offer free or low-cost online courses delivered by universities, educational institutions, and industry leaders, maki

  3. Bachelor's students graduated from Italian online universities 2013-2024

    • statista.com
    Updated May 16, 2025
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    Statista (2025). Bachelor's students graduated from Italian online universities 2013-2024 [Dataset]. https://www.statista.com/statistics/1088192/graduate-students-at-an-online-university-in-italy/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Between 2015 and 2024, the number of bachelor's students who graduated from online universities in Italy steadily increased. In 2015, less than ***** people obtained their bachelor's from an online university. After nine years, the number of students more than doubled, reaching ****** graduates. In Italy, bachelor's students represented the largest group of e-learning university students, ******* people.

  4. U.S. graduate business students' interest in online/hybrid programs 2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. graduate business students' interest in online/hybrid programs 2023 [Dataset]. https://www.statista.com/statistics/1448135/north-america-interest-in-online-hybrid-business-school-programs/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America, United States
    Description

    In 2023, ** percent of prospective graduate business students in the United States were interested in hybrid programs, an increase from ** percent in 2019. However, the overall preference in 2023 was for in-person business school programs, at ** percent.

  5. e

    Evolution of the number of new students in master's degree

    • data.europa.eu
    unknown
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    Universidad de Cantabria, Evolution of the number of new students in master's degree [Dataset]. https://data.europa.eu/data/datasets/https-web-unican-es-opendata-docencia-evolucion-del-numero-de-estudiantes-de-nuevo-ingreso-en-master?locale=en
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    unknownAvailable download formats
    Dataset authored and provided by
    Universidad de Cantabria
    License

    https://web.unican.es/opendata/Paginas/Sobre-UC-Open-Data.aspxhttps://web.unican.es/opendata/Paginas/Sobre-UC-Open-Data.aspx

    Description

    Dataset with information on the number of new students in each Official Master's degree.

  6. Graduate outcomes (LEO): 2015 to 2016

    • gov.uk
    Updated Mar 25, 2021
    + more versions
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    Department for Education (2021). Graduate outcomes (LEO): 2015 to 2016 [Dataset]. https://www.gov.uk/government/statistics/graduate-outcomes-2015-to-2016
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    Dataset updated
    Mar 25, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    There are errors in this release due to a coding error. Please do not use figures reported in this publication for these countries:

    • Germany is incorrectly labelled as Denmark
    • Greece is incorrectly labelled as Germany

    We have correct data in the graduate outcomes (LEO): 2018 to 2019 publication and corrected the outcomes and earnings data for all previously reported tax years and graduating cohorts.

    The longitudinal education outcomes (LEO) data includes:

    • information from the Department for Education (DfE)
    • information from the Department for Work and Pensions (DWP) and Her Majesty’s Revenue and Customs (HMRC)

    This experimental release uses LEO data to look at employment and earnings outcomes of higher education graduates 1, 2, 5 and 10 years after graduation in the tax years 2014 to 2015 and 2015 to 2016.

    The outcomes update previously published figures by including data for the 2015 to 2016 tax year. This publication also includes outcomes for EU and overseas students for the first time and extends the coverage to include those that studied first degrees in further education colleges.

    Higher education statistics team (LEO)

    Matthew Bridge
    Department for Education
    2 St. Paul's Place
    125 Norfolk Street
    Sheffield
    S1 2FJ

    Email mailto:he.leo@education.gov.uk">he.leo@education.gov.uk

    Phone 07384 456648

  7. Higher Education General Information Survey (HEGIS) I: Degrees and Other...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Sep 16, 2004
    + more versions
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    United States Department of Education. National Center for Education Statistics (2004). Higher Education General Information Survey (HEGIS) I: Degrees and Other Formal Awards Conferred Between July 1, 1965, and June 30, 1966 [Dataset]. http://doi.org/10.3886/ICPSR02081.v1
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    sas, spss, asciiAvailable download formats
    Dataset updated
    Sep 16, 2004
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2081/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2081/terms

    Time period covered
    Jul 1965 - Jun 1966
    Area covered
    Marshall Islands, Global, American Samoa, Virgin Islands of the United States, United States, Guam, Puerto Rico
    Description

    This study consists of data on earned degrees and other awards conferred by institutions of higher education in the United States and its outlying areas. Part of the Higher Education General Information Survey (HEGIS) Series, this survey provides complete data on earned degrees for the nation, the states, and individual institutions, which are widely used by planners and researchers. Data are provided for professional degrees, baccalaureate and higher degrees, and subbaccalaureate degrees awarded. Additional data specify number of degrees granted by level of degree, institutional control and type, academic disciplines and specialty, student enrollment, and state. Demographic items specify sex and race of recipients.

  8. f

    Data from: Graduates from a Professional Master’s Degree Program in Family...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza (2023). Graduates from a Professional Master’s Degree Program in Family Health: Expectations, Motivations and Benefits [Dataset]. http://doi.org/10.6084/m9.figshare.9985946.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

  9. m

    Transdisciplinary Team Building Using a Real-World Case Study on the...

    • data.mendeley.com
    Updated Nov 6, 2020
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    Sarah Hooper (2020). Transdisciplinary Team Building Using a Real-World Case Study on the Pandemic COVID-19 [Dataset]. http://doi.org/10.17632/sgngmzxzbr.1
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    Dataset updated
    Nov 6, 2020
    Authors
    Sarah Hooper
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The COVID-19 data sets and associated Jupyter Hub notebooks are support for a manuscript describing how data science was shown to be effective in developing a transdisciplinary team and the production of novel outputs in part due to the common learning process of all team members being part of an online professional data science and analytics master’s degree program. This online curriculum helped the team members to find a common process that allowed them learn in common (Kläy, Zimmermann, & Schneider, 2015), transdisciplinary learning a key component of transdisciplinary teamwork (Yeung, 2015). Our team's Jupyter Hub files with complete coding and data set explanations are uploaded to document this teamwork and the outputs of the team.

  10. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, geojson +1
    Updated Aug 6, 2025
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    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
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    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Aug 6, 2025
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  11. o

    International STEM Graduate Student in the United States Survey 2015

    • openicpsr.org
    delimited
    Updated Aug 10, 2015
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    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie (2015). International STEM Graduate Student in the United States Survey 2015 [Dataset]. http://doi.org/10.3886/E100084V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 10, 2015
    Dataset provided by
    University of California Santa Barbara
    Pew Research
    Authors
    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 5, 2015 - Apr 30, 2015
    Area covered
    United States
    Description

    The International STEM Graduate Student Survey assesses why international students are coming to the United States for their graduate studies, the challenges they have faced while studying in the US, their future career plans, and whether they wish to stay or leave the US upon graduation. According to the Survey of Earned Doctorates by the National Science Foundation and the National Center for Science and Engineering Statistics, international students accounted for over 40% of all US doctoral graduates in STEM in 2013. The factors that influence international students' decisions to study in the US and whether they will stay or leave are important to US economic competitiveness. We contacted graduate students (both domestic and international) in STEM disciplines from the top 10 universities ranked by the total number of enrolled international students. We estimate that we contacted approximately 15,990 students. Individuals were asked to taken an online survey regarding their background, reasons for studying in the US, and whether they plan to stay or leave the US upon graduation. We received a total of 2,322 completed surveys, giving us a response rate of 14.5%. 1,535 of the completed were from domestic students and 787 of which were from international students. Raw survey data are presented here.Survey participants were contacted via Qualtrics to participate in this survey. The Universe of this survey data set pertains to all graduate students (Master's and PhD) in STEM disciplines from the following universities: Columbia University, University of Illinois-Urbana Champaign, Michigan State University, Northeastern University, Purdue University, University of Southern California, Arizona State University, University of California at Los Angeles, New York University, University of Washington at Seattle. Data are broken into 2 subsets: one for international STEM graduate students and one for domestic STEM graduate students, please see respective files.

  12. d

    Dataset with determinants or factors influencing graduate economics student...

    • search.dataone.org
    • data.niaid.nih.gov
    • +3more
    Updated Nov 3, 2023
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    Zurika Robinson; Thea Uys (2023). Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment [Dataset]. http://doi.org/10.5061/dryad.bvq83bkgd
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    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Zurika Robinson; Thea Uys
    Time period covered
    Jan 1, 2023
    Description

    The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.     The study...

  13. Carnegie Commission National Survey of Higher Education: Graduate Study...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
    + more versions
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    Ladd, Everett; Lipset, S.M.; Trow, Martin (1992). Carnegie Commission National Survey of Higher Education: Graduate Study Subsample, 1969 [Dataset]. http://doi.org/10.3886/ICPSR07363.v1
    Explore at:
    sas, ascii, spssAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ladd, Everett; Lipset, S.M.; Trow, Martin
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7363/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7363/terms

    Time period covered
    1969
    Area covered
    United States
    Description

    This study provides data obtained from one-fourth of a randomly drawn national sample of graduate students surveyed under the sponsorship of the Carnegie Commission on Higher Education (see CARNEGIE COMMISSION NATIONAL SURVEY OF HIGHER EDUCATION: GRADUATE STUDY, 1969 [ICPSR 7502]). The original data were collected at the Survey Research Center, University of California, Berkeley, while the subsample was provided by the Social Science Data Center at the University of Connecticut. Questions elicited information regarding respondents' social and educational backgrounds, their degree and career plans, and their opinions on their institutions and departments, educational policy in general, and a wide range of social and political issues. Demographic variables cover age, sex, race, religion, marital status, family income, citizenship, and parents' levels of education and occupations.

  14. A

    Massive Open Online Course (MOOC) Market Study by Reskilling & Online...

    • factmr.com
    csv, pdf
    Updated May 7, 2024
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    Fact.MR (2024). Massive Open Online Course (MOOC) Market Study by Reskilling & Online Certification, Language & Casual Learning, Supplemental Education, Higher Education, and Test Preparation from 2024 to 2034 [Dataset]. https://www.factmr.com/report/3077/mooc-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    Fact.MR
    License

    https://www.factmr.com/privacy-policyhttps://www.factmr.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The global massive open online course (MOOC) market size is calculated to advance at a CAGR of 32% through 2034, which is set to increase its market value from US$ 13.2 billion in 2024 to US$ 212.7 billion by the end of 2034.

    Report AttributeDetail
    MOOC Market Size (2024E)US$ 13.2 Billion
    Projected Market Value (2034F)US$ 212.7 Billion
    Global Market Growth Rate (2024 to 2034)32% CAGR
    China Market Value (2034F)US$ 23.3 Billion
    Japan Market Growth Rate (2024 to 2034)32.6% CAGR
    North America Market Share (2024E)23.9%
    East Asia Market Value (2034F)US$ 49.1 Billion
    Key Companies Profiled

    Alison; Coursera Inc; edX Inc; Federica.EU; FutureLearn; Instructure; Intellipaat; iverity; Jigsaw Academy; Kadenze.

    Country Wise Insights

    AttributeUnited States
    Market Value (2024E)US$ 1.4 Billion
    Growth Rate (2024 to 2034)32.5% CAGR
    Projected Value (2034F)US$ 23.6 Billion
    AttributeChina
    Market Value (2024E)US$ 1.5 Billion
    Growth Rate (2024 to 2034)32% CAGR
    Projected Value (2034F)US$ 23.3 Billion

    Category-wise Insights

    AttributexMOOC
    Segment Value (2024E)US$ 9.3 Billion
    Growth Rate (2024 to 2034)30.8% CAGR
    Projected Value (2034F)US$ 136.1 Billion
    AttributeDegree & Master Programs
    Segment Value (2024E)US$ 6.4 Billion
    Growth Rate (2024 to 2034)30.2% CAGR
    Projected Value (2034F)US$ 89.3 Billion
  15. Integrated Postsecondary Education Data System (IPEDS): Earned Degrees,...

    • search.datacite.org
    • icpsr.umich.edu
    Updated 2005
    + more versions
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    United States Department Of Education. National Center For Education Statistics (2005). Integrated Postsecondary Education Data System (IPEDS): Earned Degrees, 1987-1988 [Dataset]. http://doi.org/10.3886/icpsr04231.v1
    Explore at:
    Dataset updated
    2005
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department Of Education. National Center For Education Statistics
    Description

    This data collection contains information on degrees earned at a sample of postsecondary institutions in the United States. The survey collected data on the number of completions of academic, vocational, and continuing professional educational programs by award category. There are three files in the collection. Part 1, Response Status Information, contains response status information to the completions survey for active institutions in the sample. Part 2, Postsecondary Completions: Awards/Degrees Conferred, contains the number of degrees and other awards granted by the institution in each field of study (CIP code), by level of award/degree, and sex of recipient. Part 3, Postsecondary Completions by Major Discipline (Two-Digit CIP Codes), contains the number of degrees and other awards conferred by major discipline (two-digit CIP code), award level, race/ethnicity, and sex of recipient.

  16. Raw data for D1.1: Inventory of skills and competencies

    • zenodo.org
    • data.europa.eu
    bin
    Updated May 3, 2022
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    Burleigh Stephen; Jönsson Håkan; Burleigh Stephen; Jönsson Håkan (2022). Raw data for D1.1: Inventory of skills and competencies [Dataset]. http://doi.org/10.5281/zenodo.6501548
    Explore at:
    binAvailable download formats
    Dataset updated
    May 3, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Burleigh Stephen; Jönsson Håkan; Burleigh Stephen; Jönsson Håkan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Raw data for the manuscript entitled: European Agrifood and Forestry Education for a Sustainable Future - Gap Analysis from an Informatics Approach

    Abstract

    Purpose: To evaluate how well European agrifood and forestry Masters program websites use vocabulary associated with the NextFood Project ‘categories of skills’.

    Methodology: Web-scraping Python scripts were used to collect texts from European Masters programs websites, which were then analysed using statistical tools including Partial Least Squares Regression and contextual relation analysis. A total of fourteen countries, twenty-seven universities, 1303 European Masters programs, 3305 web-pages and almost two million words were studied using this approach.

    Findings: While agrifood and forestry Masters programs used vocabulary from the NextFood Project ‘categories of skills’ in most cases equal to or more often than non-agrifood and forestry Masters programs, we found evidence for the relative underuse of words associated with networking skills, with least use among agriculture-related Masters programs.

    Practical Implications: The informatic approach provides evidence that European agrifood and forestry Masters programs are for the most part following the educational paths for meeting future challenges as outlined by the NextFood Project, with the possible exception of networking skills.

    Theoretical Implications: This text-based, informatic approach complements the more targeted approaches taken by the NextFood Project in studying the skilling-pathways, which involved focus-group interviews, surveys of stakeholders, interviews of individuals with expert-knowledge and literature reviews.

    Originality: A text-based, web-scraping informatic approach has thus far been limited in the study of agrifood and forestry higher education, especially relative to recent advances made in the social sciences.

  17. Distance Learning Market Analysis North America, Europe, APAC, Middle East...

    • technavio.com
    pdf
    Updated Nov 20, 2023
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    Technavio (2023). Distance Learning Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, Canada, China, UK, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/distance-learning-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2024 - 2028
    Area covered
    Canada, United Kingdom, Germany, China, United States
    Description

    Snapshot img

    Distance Learning Market Size 2024-2028

    The distance learning market size is forecast to increase by USD 149.23 billion at a CAGR of 9.65% between 2023 and 2028.

    The growing demand for distance learning, fueled by the continuous development of technology, is a key driver of the distance learning market. As technology improves, online education becomes more accessible, engaging, and effective, allowing students to learn remotely with ease. The integration of advanced tools such as video conferencing, AI-driven assessments, and interactive content is further enhancing the appeal of distance learning.
    In North America, the market is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With a growing emphasis on flexible, personalized learning experiences, including self-paced e-learning, institutions are increasingly offering distance learning programs that cater to diverse student needs. This trend is expected to continue, contributing to the market's expansion in the region.
    

    What will be the Size of the Distance Learning Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth due to the increasing adoption of remote learning solutions among K-12 students and higher education students. Online assessments, video conferencing sessions, and virtual schools are becoming popular flexible education options for students who require flexibility in their learning schedules. Website-based mediums and application-based mediums, such as e-learning platforms, are increasingly being used to deliver educational programs. Internet access is essential for distance learning, making online learning platforms an indispensable tool for universities and colleges.
    

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

    Type
    
      Traditional
      Online
    
    
    Method
    
      Synchronous distance learning
      Asynchronous distance learning
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
    
    
      Middle East and Africa
    
    
    
      South America
    

    By Type Insights

    The traditional segment is estimated to witness significant growth during the forecast period. The market encompasses various methods and technologies, including gamification, personalized learning pathways, educational environments, and remote learning techniques. Traditional distance learning, characterized by asynchronous online courses, pre-recorded lecture books, and minimal instructor interaction, remains a significant revenue contributor. This approach caters to a broad audience, particularly those with limited access to digital devices or high-internet connectivity. Academic institutions and the government sector continue to offer traditional distance learning programs, such as those provided by the Open University in the UK via mail. However, corporate blended learning, online education solutions, and personalized learning solutions are gaining popularity due to their interactive and technologically advanced nature.

    These methods include learning management systems, virtual classrooms, mobile e-learning platforms, and cloud-based e-Learning platforms. Moreover, the use of intranet connection, computers, tutorials, podcasts, recorded lectures, e-books, and machine learning technology enhances the learning experience. The market also serves academic users and corporate users through service providers and content providers. The increasing literacy rate, internet penetration, and the need for continuous skill upgrading further fuel the market's growth.

    Get a glance at the market share of various segments Request Free Sample

    The traditional segment accounted for USD 152.29 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Insights

    North America is estimated to contribute 34% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions Request Free Sample

    The market in North America is experiencing significant growth due to the integration of advanced technologies and shifting educational preferences. With the rise of gamification, personalized learning pathways, and educational environments, online education solutions have become increasingly popular. Academic institutions and the government sector are expanding their digital services, offering distance learning programs through Learning Management Systems and cloud-based e-Learning platforms. Remote learning methods, such as pre-recorded lectures, tutorials

  18. Institutional Data Archive on American Higher Education, 1970-2011

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Dec 3, 2013
    + more versions
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    Brint, Steven (2013). Institutional Data Archive on American Higher Education, 1970-2011 [Dataset]. http://doi.org/10.3886/ICPSR34874.v1
    Explore at:
    r, stata, spss, ascii, delimited, sasAvailable download formats
    Dataset updated
    Dec 3, 2013
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Brint, Steven
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34874/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34874/terms

    Time period covered
    1970 - 2011
    Area covered
    United States
    Description

    The Institutional Data Archive on American Higher Education (IDA) contains academic data on 384 four-year colleges and universities in the United States. The IDA is one of two databases produced by the Colleges and Universities 2000 project based at the University of California, Riverside. This release, the third compilation of the IDA, is updated through academic year 2010-2011, and includes longitudinal and cross-sectional data from multiple sources. The collection is organized into nine datasets based on the unit of analysis and whether identifiers linking the data to particular institutions are present; seven of the datasets can be linked by a common identifier variable (PROJ_ID), and two cannot be linked due to confidentiality agreements. The seven identifiable datasets contain information on institutions, university systems, programs and academic departments, earned degrees, graduate schools, medical schools, and institutional academic rankings over time. Data regarding student enrollments, average SAT and ACT scores, and tuition and fees has been recorded, as well as institutional information concerning libraries, research activity, revenue and expenditures, faculty salaries, and quality rankings for program faculty. The identifiable datasets also include census information for neighborhoods surrounding IDA colleges and universities. The two non-identifiable datasets contain confidential survey responses from IDA institution presidents, chancellors, provosts, and academic vice presidents; survey questions pertained to governance structures, institutional goals and achievements, and solicited opinions on current and future issues facing the respondent's institution and higher education in general.

  19. H

    Data from: Faculty Perspectives on a Collaborative, Multi-Institutional...

    • beta.hydroshare.org
    • hydroshare.org
    zip
    Updated Sep 14, 2022
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    Anne J Jefferson; Deanna H. McCay; Steven Loheide (2022). Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program [Dataset]. http://doi.org/10.4211/hs.2372f0c0a90d4061ae7f50a7f2a01cbd
    Explore at:
    zip(1.4 MB)Available download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    HydroShare
    Authors
    Anne J Jefferson; Deanna H. McCay; Steven Loheide
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2021 - May 31, 2022
    Area covered
    Description

    This resource contains the survey questions, compiled results, and code for Fisher's exact test, as associated with the following manuscript:

    "Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program" by Anne J. Jefferson, Steven P. Loheide, and Deanna H. McCay. Submitted to Frontiers in Water, in the research topic: “Innovations in Remote and Online Education by Hydrologic Scientists", May 2022

    Abstract: The CUAHSI Virtual University is an interinstitutional graduate training framework that was developed to increase access to specialized hydrology courses for graduate students from participating institutions. The program was designed to capitalize on the benefits of collaborative teaching, allowing students to differentiate their learning and access subject matter experts at multiple institutions, while enrolled in a single course at their home institution, through a framework of reciprocity. Although the CUAHSI Virtual University was developed prior to the covid-19 pandemic, the resilience of its online education model to such disruptions to classroom teaching increases the urgency of understanding how effective such an approach is at achieving its goals and what challenges multi-institutional graduate training faces for sustainability and expansion within the water sciences or in other disciplines. To gain faculty perspectives on the program, we surveyed water science faculty who had served as instructors in the program, as well as water science faculty who had not participated and departmental chairs of participating instructors. Our data show widespread agreement across respondent types that the program is positive for students, diversifying their educational opportunities and increasing access to subject matter experts. Concerns and factors limiting faculty participation revolved around faculty workload and administrative barriers, including low enrollment at individual institutions. If these barriers can be surmounted, the CUAHSI Virtual University has the potential for wider participation within hydrology and adoption in other STEM disciplines.

  20. m

    WHM Graduate Outcomes Online Survey 2018-2023

    • data.mendeley.com
    • researchdata.edu.au
    Updated Apr 12, 2024
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    Philippa Martyr (2024). WHM Graduate Outcomes Online Survey 2018-2023 [Dataset]. http://doi.org/10.17632/wyy889n8w7.1
    Explore at:
    Dataset updated
    Apr 12, 2024
    Authors
    Philippa Martyr
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This deidentified Excel qualitative data set contains graduate outcomes and graduates' views on the skills they acquired while completing the Women's Health Minor (WHM) at the University of Western Australia (UWA) between 2018 and 2023. Data showed that this self-selected sample of graduates (N=38) had acquired new and diverse skills while completing the WHM.

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Shahriar Kabir (2024). US Data Science and Analytics Master's Programs [Dataset]. https://www.kaggle.com/datasets/shahriarkabir/us-data-science-and-analytics-masters-programs
Organization logo

US Data Science and Analytics Master's Programs

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 26, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Shahriar Kabir
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.

Column Descriptions:

  • Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.

  • University Name: The name of the university offering the master's program.

  • Per Year Fees: The tuition fees for the program, usually given in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or for full-time enrollment, respectively.

  • About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.

  • Program Duration: The duration of the master's program, typically expressed in years or months.

  • University Location: The location of the university where the program is offered, including the city and state.

  • Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

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