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.
In this article, our purpose is to analyze the candidates’ admission results in ASE master’s programs across 12 specializations using the available data on ASE, master admission, Decision No. 89/14.05.2025 platforms, 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.
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
To check the representativeness of the mean we will use the variation coefficient. The result is presented in each table.
Checking the representativeness of the mean of each faculty
Checking the representativeness of the mean of each program
The proportion of candidates that participated to admission exam
The proportion of candidates declared absent (absent candidates) by
social status
The proportion of admitted candidates by social status
The proportion of rejected candidates by social status
The proportion of candidates registered by social status
The proportion of admitted candidates by social status
The proportion of rejected candidates by form of education
The proportion of candidates declared absent (absent candidates) across faculties
The proportion of candidates declared admitted across faculties
The proportion of candidates declared rejected across faculties
The number of outliers
Proportion of missing values
## # A tibble: 16 × 3
## variable n_miss pct_miss
## <chr> <int> <num>
## 1 proba_scrisa 327 7.45
## 2 medie_concurs 327 7.45
## 3 nr_crt 0 0
## 4 cod_candidat 0 0
## 5 medie_licenta 0 0
## 6 statut 0 0
## 7 rezultat 0 0
## 8 forma_invataman 0 0
## 9 specializare 0 0
## 10 program 0 0
## 11 facultatea 0 0
## 12 pob 0 0
## 13 pot 0 0
## 14 nlb 0 0
## 15 nlt 0 0
## 16 ntl 0 0
Following the analysis, we note that 7% of candidates did not participate in the admission exam and were declared absent, while 93% participated in the exam. Most of the absent candidates were from the diaspora group (26%), followed by candidates in the standard category.
It can also be seen that most of the admitted candidates were from the standard category, followed by candidates from the diaspora and candidates with disabilities.
With regard to the number of rejected candidates, we note that the highest number was recorded among candidates from the diaspora, followed by those in the standard category and candidates with disabilities.
Overall, the standard category accounted for the largest share of participants, representing 98% of all candidates enrolled in the admission competition.
Out of the total number of registered candidates, 77% were admitted, 16% were rejected, and 7% did not participate in the competition. Among the admitted candidates, 43% secured tuition-free places, while 34% were admitted on a tuition-fee basis.
We observe that the faculty with the highest number of candidates declared absent is the faculty of business administration in foreign languages, followed by the faculty of Cybernetics, statistics and economic informatics. The faculty with the highest percentage of admitted candidates out of the total number of registered candidates is the faculty of agri-food and environmental economics (99%), followed by the faculty of public administration and management with 98%. The high percentage may indicate that, in these faculties, the available places were not fully occupied. In the case of faculties with a low percentage of admitted candidates, this suggests that competition is higher.