Career Paths of Doctoral Recipients in Engineering and Computer Science: Trends by Sex, Race, Citizenship, and Discipline with an Emphasis on Biomedical Engineering
Saved in:
| Title: | Career Paths of Doctoral Recipients in Engineering and Computer Science: Trends by Sex, Race, Citizenship, and Discipline with an Emphasis on Biomedical Engineering |
|---|---|
| Language: | English |
| Authors: | Maya Denton (ORCID |
| Source: | Biomedical Engineering Education. 2024 4(2):185-197. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| Publication Date: | 2024 |
| Sponsoring Agency: | National Science Foundation (NSF), Division of Engineering Education and Centers (EEC) |
| Contract Number: | 2114181 2114210 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Doctoral Degrees, Engineering Education, Computer Science Education, Sex, Race, Citizenship, Intellectual Disciplines, Biomedicine, Educational Attainment, Employment Level, Career Choice, Employment Patterns, Outcomes of Education, National Surveys |
| DOI: | 10.1007/s43683-024-00140-y |
| ISSN: | 2730-5937 2730-5945 |
| Abstract: | We summarize national-scale data for Ph.D. earners in engineering or computer science from 2015 to 2019 whose post-graduate school employment is known, highlighting outcomes for biological/biomedical/biosystems engineering students. We use NSF's Survey of Earned Doctorates (SED), which has collected information from Ph.D. recipients in the USA since 1957. The data are collected at the time of degree completion and constitute a greater than 90% response rate. Compared to all engineering and computer science disciplines, biological/biomedical/biosystems engineering has a higher proportion going to 4yr/med/research institutions (52% vs. 33%) and non-profit (3.6% vs. 2.9%) and lower proportion going to industry (33% vs. 48%), government (4.3% vs. 8.4%), and is similar for non-US positions (6.1% vs. 5.7%). Compared to 2010--2014 biological/biomedical/biosystems engineering Ph.D. recipients, more 2015--2019 recipients are going to industry (25% to 33%) and fewer to 4yr/med/research institutions (59% to 52%) and government (5.3% to 4.3%). Across all engineering and computer science disciplines, a smaller proportion of females entered industry (43%) compared to males (49%), while a larger proportion of females entered 4yr/med/research institutions (37%) compared to males (32%). Over half of Asian doctoral recipients entered industry, as compared to 38% of Hispanic doctoral recipients. In contrast, a higher proportion of Hispanic individuals (37%) entered 4yr/med/research institutions after their doctoral programs, as compared to 31% of Asian doctoral recipients. Black doctoral recipients had the highest proportion enter positions in government (14%) and non-profit (4%) sectors. Our results are situated in the broader literature focused on postdoctoral career, training, and employment sectors and trends in STEM. We discuss implications for graduate programs, policymakers, and researchers. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1432448 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1432448 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Career Paths of Doctoral Recipients in Engineering and Computer Science: Trends by Sex, Race, Citizenship, and Discipline with an Emphasis on Biomedical Engineering – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maya+Denton%22">Maya Denton</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-7904-4513">0000-0001-7904-4513</externalLink>)<br /><searchLink fieldCode="AR" term="%22David+B%2E+Knight%22">David B. Knight</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-4576-2490">0000-0003-4576-2490</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jessica+R%2E+Deters%22">Jessica R. Deters</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-8766-9548">0000-0001-8766-9548</externalLink>)<br /><searchLink fieldCode="AR" term="%22Dustin+M%2E+Grote%22">Dustin M. Grote</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-9189-2424">0000-0002-9189-2424</externalLink>)<br /><searchLink fieldCode="AR" term="%22Maura+Borrego%22">Maura Borrego</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-7131-4611">0000-0001-7131-4611</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Biomedical+Engineering+Education%22"><i>Biomedical Engineering Education</i></searchLink>. 2024 4(2):185-197. – Name: Avail Label: Availability Group: Avail Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 13 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: National Science Foundation (NSF), Division of Engineering Education and Centers (EEC) – Name: NumberContract Label: Contract Number Group: NumCntrct Data: 2114181<br />2114210 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Doctoral+Degrees%22">Doctoral Degrees</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+Education%22">Engineering Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Sex%22">Sex</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Citizenship%22">Citizenship</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+Disciplines%22">Intellectual Disciplines</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedicine%22">Biomedicine</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Attainment%22">Educational Attainment</searchLink><br /><searchLink fieldCode="DE" term="%22Employment+Level%22">Employment Level</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Choice%22">Career Choice</searchLink><br /><searchLink fieldCode="DE" term="%22Employment+Patterns%22">Employment Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Education%22">Outcomes of Education</searchLink><br /><searchLink fieldCode="DE" term="%22National+Surveys%22">National Surveys</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1007/s43683-024-00140-y – Name: ISSN Label: ISSN Group: ISSN Data: 2730-5937<br />2730-5945 – Name: Abstract Label: Abstract Group: Ab Data: We summarize national-scale data for Ph.D. earners in engineering or computer science from 2015 to 2019 whose post-graduate school employment is known, highlighting outcomes for biological/biomedical/biosystems engineering students. We use NSF's Survey of Earned Doctorates (SED), which has collected information from Ph.D. recipients in the USA since 1957. The data are collected at the time of degree completion and constitute a greater than 90% response rate. Compared to all engineering and computer science disciplines, biological/biomedical/biosystems engineering has a higher proportion going to 4yr/med/research institutions (52% vs. 33%) and non-profit (3.6% vs. 2.9%) and lower proportion going to industry (33% vs. 48%), government (4.3% vs. 8.4%), and is similar for non-US positions (6.1% vs. 5.7%). Compared to 2010--2014 biological/biomedical/biosystems engineering Ph.D. recipients, more 2015--2019 recipients are going to industry (25% to 33%) and fewer to 4yr/med/research institutions (59% to 52%) and government (5.3% to 4.3%). Across all engineering and computer science disciplines, a smaller proportion of females entered industry (43%) compared to males (49%), while a larger proportion of females entered 4yr/med/research institutions (37%) compared to males (32%). Over half of Asian doctoral recipients entered industry, as compared to 38% of Hispanic doctoral recipients. In contrast, a higher proportion of Hispanic individuals (37%) entered 4yr/med/research institutions after their doctoral programs, as compared to 31% of Asian doctoral recipients. Black doctoral recipients had the highest proportion enter positions in government (14%) and non-profit (4%) sectors. Our results are situated in the broader literature focused on postdoctoral career, training, and employment sectors and trends in STEM. We discuss implications for graduate programs, policymakers, and researchers. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1432448 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1432448 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s43683-024-00140-y Languages: – Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 185 Subjects: – SubjectFull: Doctoral Degrees Type: general – SubjectFull: Engineering Education Type: general – SubjectFull: Computer Science Education Type: general – SubjectFull: Sex Type: general – SubjectFull: Race Type: general – SubjectFull: Citizenship Type: general – SubjectFull: Intellectual Disciplines Type: general – SubjectFull: Biomedicine Type: general – SubjectFull: Educational Attainment Type: general – SubjectFull: Employment Level Type: general – SubjectFull: Career Choice Type: general – SubjectFull: Employment Patterns Type: general – SubjectFull: Outcomes of Education Type: general – SubjectFull: National Surveys Type: general Titles: – TitleFull: Career Paths of Doctoral Recipients in Engineering and Computer Science: Trends by Sex, Race, Citizenship, and Discipline with an Emphasis on Biomedical Engineering Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maya Denton – PersonEntity: Name: NameFull: David B. Knight – PersonEntity: Name: NameFull: Jessica R. Deters – PersonEntity: Name: NameFull: Dustin M. Grote – PersonEntity: Name: NameFull: Maura Borrego IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2730-5937 – Type: issn-electronic Value: 2730-5945 Numbering: – Type: volume Value: 4 – Type: issue Value: 2 Titles: – TitleFull: Biomedical Engineering Education Type: main |
| ResultId | 1 |