CSIE_analysis_ASE8
by Irimia Mihaela
2025-09-24
Analysis of candidates enrolled in ASE master’s programs
Warning: The dataset analyzed in this study is not an official list provided by ASE and was created based on the information available on site.
This study examines the admission outcomes of candidates applying to ASE master’s programs across 12 faculties, namely:
Facultatea de Business și turism (BT)/Faculty of Business and tourism
Facultatea de Contabilitate și informatică de gestiune (CIG)/Faculty of Accounting and management information systems
Facultatea de Cibernetică, statistică și informatică economică (CSIE)/Faculty of Cybernetics, statistics and economic informatics
Facultatea de Drept (DA) /Faculty of Law
Facultatea de Economie teoretică și aplicată (ETA)/Faculty of Theoretical and applied economics
Facultatea de Finanțe, Asigurări, Bănci și Burse de Valori (FABBV)/Faculty of Finance, insurance, banking and stock exchange
Facultatea de administrarea afacerilor cu predare în limbi străine (FABIZ)/Faculty of Business administration in foreign languages
Facultatea de Management (MAN)/Faculty of Management
Facultatea de Marketing (MRK)/Faculty of Marketing
Facultatea de relații economice internaționale (REI)/Faculty of International business and economics.
By analyzing the available data on ASE, master admission, Decision No. 89/14.05.2025 platforms, we aim to identify patterns of academic performance, compare results across faculties, and explore potential factors that influences the competitiveness among applicants.
Objective The objective of this analysis is to examine the profile and performance of candidates enrolled in ASE master’s programs, highlighting patterns in academic results, differences by admission status and study form, as well as the factors influencing admission outcomes.
The analysed variables are presented below:
## Rows: 4,392
## Columns: 16
## $ nr_crt <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,…
## $ cod_candidat <dbl> 4397, 1068, 1726, 1670, 1841, 2369, 2372, 1681, 1078, …
## $ proba_scrisa <dbl> NA, 84, 84, 81, 78, 78, 78, 84, 75, 75, 75, 75, 75, 72…
## $ medie_concurs <dbl> NA, 9.76, 9.76, 9.64, 9.52, 9.52, 9.52, 9.46, 9.40, 9.…
## $ medie_licenta <dbl> 9.00, 10.00, 10.00, 10.00, 10.00, 10.00, 10.00, 9.50, …
## $ statut <chr> "Standard", "Standard", "Standard", "Standard", "Stand…
## $ rezultat <chr> "Absent", "Admis", "Admis", "Admis", "Admis", "Admis",…
## $ forma_invataman <chr> "Absent", "Buget", "Buget", "Buget", "Buget", "Buget",…
## $ specializare <chr> "EAM1", "EAM1", "EAM1", "EAM1", "EAM1", "EAM1", "EAM1"…
## $ program <chr> "Economia si administrarea afacerilor agroalimentare, …
## $ facultatea <chr> "Economie Agroalimentara si a Mediului", "Economie Agr…
## $ pob <dbl> 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187,…
## $ pot <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, …
## $ nlb <dbl> 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182,…
## $ nlt <dbl> 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36…
## $ ntl <dbl> 218, 218, 218, 218, 218, 218, 218, 218, 218, 218, 218,…Our dataset contains 16 variables — 10 numeric and 6 character — and 5,357 observations.
Main indicators of descriptive statistic
We want to check for duplicates and verify whether a candidate was admitted to more than one program:
The candidate with code 1000 applied to two programs (CSIE4 and CSIE3), but was admitted to only one of them (CSIE4) and so on.
We extract the first option with the biggest final admitted score of each candidate, but in some cases not admitted
## nr_crt cod_candidat proba_scrisa medie_concurs
## Min. : 1.0 Min. :1000 Min. : 0.00 Min. : 4.960
## 1st Qu.: 50.0 1st Qu.:2108 1st Qu.:51.00 1st Qu.: 7.750
## Median :116.0 Median :3002 Median :63.00 Median : 8.440
## Mean :154.2 Mean :2993 Mean :61.88 Mean : 8.365
## 3rd Qu.:249.0 3rd Qu.:3930 3rd Qu.:75.00 3rd Qu.: 9.070
## Max. :489.0 Max. :4827 Max. :90.00 Max. :10.000
## NA's :327 NA's :327
## medie_licenta statut rezultat forma_invataman
## Min. : 6.000 Diaspora : 73 Absent : 327 Absent : 327
## 1st Qu.: 8.660 Dizabilitati : 9 Admis :3372 Admis : 5
## Median : 9.330 Minoritati : 1 Respins: 693 Buget :1881
## Mean : 9.166 ProtectieSociala: 3 Respins: 697
## 3rd Qu.:10.000 Rom : 3 Taxa :1482
## Max. :10.000 Standard :4303
##
## specializare program
## Length:4392 Length:4392
## Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## facultatea pob
## Cibernetica, Statistica si Informatica Economica :1017 Min. : 0.0
## Relatii Economice Internationale : 458 1st Qu.: 72.0
## Administrarea Afacerilor cu predare in limbi straine: 439 Median :187.0
## Marketing : 413 Mean :199.4
## Management : 406 3rd Qu.:339.0
## Contabilitate si Informatica de Gestiune : 402 Max. :361.0
## (Other) :1257
## pot nlb nlt ntl
## Min. : 0.00 Min. : 0.0 Min. : 0.0 Min. : 29.0
## 1st Qu.: 1.00 1st Qu.: 39.0 1st Qu.: 32.0 1st Qu.: 54.0
## Median : 4.00 Median :106.0 Median : 75.0 Median :218.0
## Mean :12.16 Mean :105.5 Mean :116.7 Mean :222.2
## 3rd Qu.:12.00 3rd Qu.:123.0 3rd Qu.:226.0 3rd Qu.:328.0
## Max. :68.00 Max. :246.0 Max. :409.0 Max. :567.0
## Analysis of candidates with bachelor score below than 7
Let’s see how many candidates have a bachelor score less than 7
So we have 118 candidates with a bachelor score less than 7, final admission score of 6.59 and a admission test score of 51.6.
The average final admission score for candidates from the social protection group is 6.64, with an average bachelor score of 7.00, while for those from the standard group it is 6.53.
We can see that 7 candidates did not participate in the admission test, 83 candidates were admitted, and 28 were rejected.
Distribution of bachelor score by status and by results for the candidates with a bachelor score less than 7
The number of candidates with bachelor score below 7 across faculties and social status:
The number of admitted candidates with bachelor score below 7 across faculties, results and social status:
Graphical representation
admitted candidates
rejected candidates
absent candidates
tuition free candidates
tuition fee candidates
registered candidates
The distribution of candidates by bachelor score mean across faculties
registered candidates
Distribution of registered candidates by faculty and mean bachelor
score
admitted candidates
Distribution of admitted candidates by faculty and mean bachelor
score
rejected candidates
Distribution of rejected candidates by faculty and mean bachelor
score
absent candidates
Distribution of absent candidates by faculty and mean bachelor score
tuition free candidates
Distribution of tuition-free admitted candidates by faculty and mean
bachelor score
tuition fee candidates
Distribution of tuition-fee admitted candidates by faculty and mean
bachelor score.
The distribution of candidates by final admission score mean across faculties
registered candidates
Distribution of registered candidates by faculty and mean final
admission score.
admitted candidates
Distribution of admitted candidates by faculty and mean final
admission score.
rejected candidates
Distribution of rejected candidates by faculty and mean final
admission score.
absent candidates
Distribution of absent candidates by faculty and mean final admission
score.
tuition free candidates
Distribution of tuition-free admitted candidates by faculty and mean
final admission score.
tuition fee candidates
Distribution of tuition-fee admitted candidates by faculty and mean
final admission score.
Analysis of candidates with bachelor score below 7 by social status, faculty and result
Distribution of registered candidates by faculty and social status.
Distribution of registered candidates by faculty and admission
result.
Distribution of registered candidates by faculty and form of education.
The average bachelor’s score among candidates whose grade was below 7 and the education form:
The number of candidates with bachelor score below 7 by form of
education:
We have 2012 registered candidates with a bachelor degree higher than 9.5 and 1017 registered candidates with a bachelor score between 9 and 9.5
## # A tibble: 5 × 2
## interval numar_candidati
## <chr> <int>
## 1 7–8 397
## 2 8–9 1190
## 3 9-9.5 918
## 4 9.5–10 1769
## 5 <7 118In correlation with what we observed graphically.
## # A tibble: 5 × 2
## interval numar_candidati
## <chr> <int>
## 1 7–8 255
## 2 8–9 796
## 3 9-9.5 702
## 4 9.5–10 1536
## 5 <7 83
Analysis of registered candidates by their admission test score
Registered
Distribution of the registered candidates by the admission test score
Admitted
Distribution of the admitted candidates by the admission test score
Tuition-free
Distribution of the tuition-free admitted candidates by the admission
test score
tuition-fee
Distribution of the tuition-fee admitted candidates by the admission
test score
Rejected
Distribution of the rejected candidates by the admission test score
Analysis of registered candidates by their final admission score
Registered
Distribution of the registered candidates by the final admission
score
Admitted
Distribution of the admitted candidates by the final admission score
Tuition-free
Distribution of the tuition-free admitted candidates by the final
admission score
Tuition-fee
Distribution of the tuition-fee admitted candidates by the final
admission score
Rejected
Distribution of the rejected candidates by the final admission score
The analysis the rejected candidates with a final admission score between 5 and 10
The objective is to analyze the profile of rejected candidates whose final admission scores range between 9 and 10 and 5 and 8, in order to better understand the factors that contributed to their rejection despite their high academic performance.
Final admission score between 9 and 10
Final admission score between 8 and 9
Final admission score between 5 and 8
Conclusions
We are interested in examining how many candidates registered for the admission session organized in July 2025. We note that the total number of registered candidates is 4,392; however, some candidates applied to several specializations within the same faculty. Therefore, a candidate cannot be admitted to all the specializations they applied for, but only to one, while being declared rejected for the others.
The high number of rejected candidates with grades between 9 and 10 can be explained by the high level of competition and the limited number of available places. In addition, since each candidate can be admitted to only one specialization, rejections occur even among those with very good results, especially for secondary choices. The absence of some candidates with grades between 9 and 10 can be explained by various factors, such as changes in study preferences, enrollment in other universities, scheduling conflicts, or lack of interest in the written exam.
References
- T. Pals, Research Finds that High School GPAs Are Stronger Predictors of College Graduation than ACT Scores, https://www.aera.net/Newsroom/Research-Finds-that-High-School-GPAs-Are-Stronger-Predictors-of-College-Graduation-than-ACT-Scores, 2020.
- https://research.collegeboard.org/media/pdf/SAT_Score_Relationships_with_College_Degree_Completion.pdf, accesat la 23.08.2025.
- https://ase.ro/comunicare/noutati/regulamentul-admitere-masterat-2025-2026/, accessed on 04.08.2025.
- https://ase.ro/admitere/masterat/, accessed on 28.07.2025.
- Decision No. 89/14.05.2025, accessed on 04.08.2025