The Graduate School at Penn State
Spatial Data Science (SDS)
World Campus
Earth and Mineral Sciences
Spatial Data Science – Admissions Data
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Applications | - | - | - | - | - | - | - | 13 | 49 | 44 |
Offers (% selectivity) | - | - | - | - | - | - | - | 12 (92%) | 41 (84%) | 41 (93%) |
Accepts (% yield) | - | - | - | - | - | - | - | 12 (100%) | 35 (85%) | 40 (98%) |
"-" indicates n=0
Spatial Data Science – Average GRE Scores for New Enrollees*
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Analytical (P) † | - | - | - | - | - | - | - | - | c | - |
Verbal (P) † | - | - | - | - | - | - | - | c | 156.71
(72%)
n=7 |
c |
Quantitative (P) † | - | - | - | - | - | - | - | c | 154.00
(57%)
n=7 |
c |
Analyt Writing (P) † | - | - | - | - | - | - | - | c | 4.33
(64%)
n=6 |
c |
*GRE tests taken on or after August 1st, 2011 are scored according the following scale:
Verbal Reasoning: 130 - 170, 1 point increments
Quantitative Reasoning: 130 - 170, 1 point increments
Analytical Writing: 0 - 6, half point increments
For tests taken prior to August 1st, 2011, scores were converted to the new scale accordingly.
†P = Percentile Ranking
c = data not displayed because n is too small to protect confidentiality of the student data
"-" indicates n=0
Spatial Data Science – Average GMAT Scores for New Enrollees
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Total (P) * | - | - | - | - | - | - | - | - | - | c |
Verbal (P) * | - | - | - | - | - | - | - | - | - | c |
Quantitative (P) * | - | - | - | - | - | - | - | - | - | c |
Analyt Writing (P) * | - | - | - | - | - | - | - | - | - | c |
*P = Percentile Ranking
c = data not displayed because n is too small to protect confidentiality of the student data
"-" indicates n=0
Spatial Data Science – Jr/Sr GPA for New Enrollees
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
GPA | - | - | - | - | - | - | - | 3.59
n=13 |
3.17
n=35 |
3.51
n=39 |
"-" indicates n=0
Spatial Data Science – Demographics for New Enrollees
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Total New Enrl | - | - | - | - | - | - | - | 13 | 35 | 39 |
Domestic | - | - | - | - | - | - | - | 13 (100%) | 33 (94%) | 36 (92%) |
Total URM * | - | - | - | - | - | - | - | - | 5 (14%) | 4 (10%) |
Black/Afr. Amer. | - | - | - | - | - | - | - | - | - | 3 (8%) |
Am. Ind./AK Native | - | - | - | - | - | - | - | - | - | - |
Hawaiian/Pac. Is. | - | - | - | - | - | - | - | - | - | - |
Hispanic/Latino | - | - | - | - | - | - | - | - | 5 (14%) | 1 (3%) |
Asian | - | - | - | - | - | - | - | 1 (8%) | 5 (14%) | 1 (3%) |
White | - | - | - | - | - | - | - | 10 (77%) | 21 (60%) | 31 (79%) |
Two or More † | - | - | - | - | - | - | - | 2 (15%) | - | - |
Unknown ‡ | - | - | - | - | - | - | - | - | 2 (6%) | - |
International | - | - | - | - | - | - | - | - | 2 (6%) | 3 (8%) |
*URM: Underrepresented Minorities
†Two or More: Applicant selected more than one race/ethnicity.
‡Unknown: Applicant chose not to disclose race/ethnicity information.
"-" indicates n=0
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Female | - | - | - | - | - | - | - | 6 (46%) | 13 (37%) | 14 (36%) |
Male | - | - | - | - | - | - | - | 7 (54%) | 22 (63%) | 25 (64%) |
Nonbinary or other legal identity | - | - | - | - | - | - | - | - | - | - |
Total | - | - | - | - | - | - | - | 13 | 35 | 39 |
"-" indicates n=0
Spatial Data Science – Total Enrollments by Degree
2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 | |
---|---|---|---|---|---|---|---|---|---|---|
MS | - | - | - | - | - | - | - | 14 | 51 | 86 |
"-" indicates n=0
Spatial Data Science – Total Enrollments by Demographic
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Total Enrl | - | - | - | - | - | - | - | 14 | 51 | 86 |
Domestic | - | - | - | - | - | - | - | 14 (100%) | 48 (94%) | 79 (92%) |
Total URM * | - | - | - | - | - | - | - | - | 6 (12%) | 10 (12%) |
Black/Afr. Amer. | - | - | - | - | - | - | - | - | - | 3 (3%) |
Am. Ind./AK Native | - | - | - | - | - | - | - | - | - | - |
Hawaiian/Pac. Is. | - | - | - | - | - | - | - | - | - | - |
Hispanic/Latino | - | - | - | - | - | - | - | - | 6 (12%) | 7 (8%) |
Asian | - | - | - | - | - | - | - | 1 (7%) | 6 (12%) | 7 (8%) |
White | - | - | - | - | - | - | - | 11 (79%) | 32 (63%) | 59 (69%) |
Two or More † | - | - | - | - | - | - | - | 2 (14%) | 2 (4%) | 2 (2%) |
Unknown ‡ | - | - | - | - | - | - | - | - | 2 (4%) | 1 (1%) |
International | - | - | - | - | - | - | - | - | 3 (6%) | 7 (8%) |
*URM: Underrepresented Minorities
†Two or More: Applicant selected more than one race/ethnicity.
‡Unknown: Applicant chose not to disclose race/ethnicity information.
"-" indicates n=0
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
Female | - | - | - | - | - | - | - | 7 (50%) | 21 (41%) | 32 (37%) |
Male | - | - | - | - | - | - | - | 7 (50%) | 30 (59%) | 54 (63%) |
Nonbinary or other legal identity | - | - | - | - | - | - | - | - | - | - |
Total | - | - | - | - | - | - | - | 14 | 51 | 86 |
"-" indicates n=0
Total | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
MS | - | - | - | - | - | - | - | - | 2 | 11 |
"-" indicates n=0
Spatial Data Science – Median Time to Degree (years)
MS | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19 | 2019/20 | 2020/21 | 2021/22 | 2022/23 |
---|---|---|---|---|---|---|---|---|---|---|
In Major/Degree * | - | - | - | - | - | - | - | - | 1.1 | 1.6 |
First Enrollment † | - | - | - | - | - | - | - | - | 2.3 | 1.6 |
Number (n) | - | - | - | - | - | - | - | - | n=2 | n=11 |
*In Major/Degree: The median time to degree in graduating major and degree at Penn State.
†First Enrollment: The median time to degree based on the first enrollment as a graduate student at Penn State.
"-" indicates n=0
Spatial Data Science – Degree Completion, WC Campus
MS | #Started | 1 year | 2 years | 3 years | 4 years | 5 years | 6 years | 7 years | 8 years | 9 years | Total Completed | % Completed |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2013/14 Cohort | - | - | - | - | - | - | - | - | - | - | - | - |
2014/15 Cohort | - | - | - | - | - | - | - | - | - | - | - | |
2015/16 Cohort | - | - | - | - | - | - | - | - | - | - | ||
2016/17 Cohort | - | - | - | - | - | - | - | - | - | |||
2017/18 Cohort | - | - | - | - | - | - | - | - | ||||
2018/19 Cohort | - | - | - | - | - | - | - | |||||
2019/20 Cohort | - | - | - | - | - | - | ||||||
2020/21 Cohort | 14 | 2 | 4 | 6 | 43% | |||||||
2021/22 Cohort | 38 | 7 | 7 | 18% | ||||||||
2022/23 Cohort | 41 |
"-" indicates n=0
Logic for Program Review Metrics