Dave Hughes, Brock University. CACS/AIC  Approved by CACS/AIC AGM 2011  To develop a “state of discipline” Help set directions for CACS/AIC Position.

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Presentation transcript:

Dave Hughes, Brock University

CACS/AIC  Approved by CACS/AIC AGM 2011  To develop a “state of discipline” Help set directions for CACS/AIC Position to answer questions  Fifth generation Reworded questions on graduate student funding

CACS/AIC  Held in Apr, 2015  Excel Spreadsheet  CACS/AIC Mailing List  Responses 23 respondents

Acadia University Augustana University Bishop’s University Brock University University of Calgary Carleton University Dalhousie University Lakehead University Laval University University of Lethbridge University of Manitoba Memorial University Université de Montréal University of Ottawa Queen's University University of Saskatchewan University of Toronto University of British Columbia University of New Brunswick (St. John) University of New Brunswick University of Victoria University of Western Ontario University of Windsor

CACS/AIC  Incomplete data Only 23of 56 responding (41%) Not all complete Report trends 5-year (2010/11–2014/15)  Attempted to get historical data Back to 2006/07 Not all respondents could provide  Building historical data (5 years now)

CACS/AIC  18 respondents have PhD programs 15 provided reasonably complete data  Data collected New students enrolled by gender and nationality Total number registered by gender PhDs awarded by gender

N=15

N=13

N=15

N=14

N=13

CACS/AIC  New enrolments flat ~32% female (rising slowly) ~70% international (rising)  Registrations flat ~25% female (rising slowly)

CACS/AIC  Graduates may be declining 5-year lag Faster than decline in News (06/07-08/09) 14/15 increase mirrors 09/10 increase in News Retention or time to completion? Female slightly more likely to complete? 18-27% female and fluctuating

CACS/AIC  22 respondents have MSc programs 21 Thesis, 14 Course Work (non-thesis) Thesis: 18 provided reasonably complete data CW: 7 provided reasonably complete data  Data collected (Thesis, CW) New students enrolled by gender and nationality Total number registered by gender MScs awarded by gender

N=19

N=18

N=16

N=18

N=19

N=17

N=7

N=6

N=4

N=7

N=6

CACS/AIC  New enrolment relatively steady ~22-30% female (fluctuating) CW ~25%-35% female (declining?) ~60% International (fluctuating) CW ~95% (rising)  Registrations flat ~25% female (rising) CW ~30% female (falling)

CACS/AIC  Graduates rising 2-year lag Drop in News in 2014/15 ~20-30% female (fluctuating) CW Lag? ~25% female (declining?) Accounts for 20% of MSc

CACS/AIC  20 provided reasonably complete data  Data collected New students enrolled by gender and nationality Majors by year/level UG Degrees awarded by gender Total UG semester-courses (incl. service)

N=20

N=15

N=21

N=17

N=20

N=18

N=16

N=6

N=7

CACS/AIC  Enrolments increasing ~15% female (rising slowly)  Majors evenly distributed by year Attrition balanced by conversion?  Graduates ~20% female (rising) Success rate 4-year lag Class of 2010/11 – 1295/1628 = 79.5% Higher for females?

CACS/AIC  Teaching Enrolments rising faster than faculty complement Number of sections steady Implies class sizes and FSR increasing  Significant service teaching UCE year I higher than % majors in year I

CACS/AIC  20 provided reasonably complete data  Data collected Type Gender Rank Status Positions advertised and filled by type

N=21

N=2

N=21

N=9

CACS/AIC  Number in slow decline Non tenure-track increasing as % ~85% male (steady) Decline in % Assistant/Associate (aging)  Hiring Some Tenure-track and teaching Positions not being filled?

CACS/AIC  Post Docs Increasing but volatile Due to lack of hiring? Positions not advertised? Appointed from within?

CACS/AIC  13 provided reasonably complete data  Data collected NSERC Discovery NSERC Equipment Other NSERC Other Research Industrial

N=15

CACS/AIC  NSERC Discovery # and amount declining ~ 25% of funding Higher for small schools?  Non-NSERC funding ~ 50% Harder for small schools to attract?

CACS/AIC  New questions this year To answer the question “How attractive are programs financially” (competitive)  11 provided reasonably complete data  Data collected (domestic/international) Total cost of program (tuition+fees) Total grant money Total employment money

CACS/AIC  Reporting Maximum, median and minimum Tuition Income Residual

CACS/AIC  Tuition varies considerably  Definite disparity in residuals  % Funded PhD: 78% MSc: 77%

CACS/AIC  Questions Do we need all? Do we need others?  Timing?  Reporting Analysis

CACS/AIC Results Return aggregate data to schools Data Completion Buy-in from remaining departments esp. those who responded in past but not this year Have 5 years data from about schools desire historical data from rest 2014/15 Survey Current data returned for verification Supply one year of new data Provide historical data where missing