CSIE_analysis
by Irimia Mihaela
2025-07-31
Comparative study of candidates’ admission results in ASE master’s programs
In this article, our propose is to analyze the candidates’ admission results in ASE master’s programs across 11 specializations, 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 table below presents the situation of each candidate. As we can see, it contains information regarding the grade obtained in the admission test, the grade obtained in the bachelor’s degree, and the final admission score, which is calculated as 40% of the admission test grade and 60% of the bachelor’s degree grade.
The population under analysis consists of individuals seeking to obtain a position to ASE master’s programs (N=5357 candidates). The available places are divided into two categories: tuition - free positions and tuition - paying positions. Candidates were allowed to apply for one or more specializations within the same faculty.
The population distribution is characterized by the following features:
At the institution level (ASE), the average score in the admission test is 72.42 (if we add the 10 bonus points granted by default), and the final admission score is 8.4.
Thus, the mean, variance and the standard deviation of the population is \(\mu\) = 62.42, \(\sigma\) = 274.06 and \(\sqrt{\sigma^2}\) = 16.55.
Now, let’s analyse the performance of candidates across each ASE faculty.
The performance of candidates across each ASE faculty is presented in the table above.
Some information s about each variable
## Rows: 5,357
## Columns: 9
## $ nr_crt <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 1…
## $ cod_candidat <dbl> 1025, 1052, 1185, 1384, 1405, 1442, 1699, 1732, 1836, 20…
## $ proba_scrisa <dbl> 76, 83, 73, 85, 84, 79, 84, NA, 83, 88, 65, 79, 79, 80, …
## $ medie_concurs <dbl> 8.6, 9.3, 8.3, 9.5, 9.4, 8.9, 9.4, NA, 9.3, 9.8, 7.5, 8.…
## $ medie_licenta <dbl> 8.25, 9.12, 8.12, 10.00, 9.66, 8.70, 9.33, 9.33, 9.49, 1…
## $ statut <chr> "Standard", "Standard", "Standard", "Standard", "Standar…
## $ specializare <chr> "AA1", "AA1", "AA1", "AA1", "AA1", "AA1", "AA1", "AA1", …
## $ universitate <chr> "ASE", "ASE", "ASE", "ASE", "ASE", "ASE", "ASE", "ASE", …
## $ facutatea <chr> "Administrarea_afacerilor", "Administrarea_afacerilor", …So, we have 9 variables. The type of the analyzed variables are:
proba_scrisa, medie_concurs and medie_licenta are numeric variables
statut, specializare, universitate and facutatea are character variables
In case of admission score variable (proba_scrisa)
## There are 8 observations below the 1st quantile on rows 730 1024 1803 3023 3541 4231 4285 5114 and the values are 0 12 0 9 12 12 12 12
## There are 0 observations above the 3rd quantile
The figure shows the distribution of candidates by admission test score at the ASE level.
In case of bachelor’s score variable (medie_licenta)
## There are 77 observations below the 1st quantile on rows 153 156 261 356 429 452 519 532 820 854 930 1003 1156 1282 1406 1473 1486 1525 1592 1605 1955 2028 2050 2074 2205 2217 2226 2403 2405 2438 2460 2492 2509 2532 2546 2589 2605 2617 2657 2665 2667 2680 2707 2709 2714 2717 2740 2772 2783 2797 2809 2936 3212 3251 3584 3590 3623 3627 3681 3693 3698 3714 3786 3826 3907 3928 3999 4006 4029 4092 4153 4452 4454 4531 4543 4912 5246 and the values are 6.79 6.8 6.4 6.83 6.83 6.5 6.75 6.18 6.4 6.4 6.83 6.83 6.83 6.83 6.5 6.75 6.18 6.5 6.75 6.18 6 6 6.5 6 6.25 6.75 6 6 6.75 6.87 6.16 6.83 6 6 6.66 6.33 6.6 6.25 6.33 6.62 6 6.6 6 6.12 6.16 6.16 6 6 6 6.62 6.16 6.5 6.5 6.63 6.83 6.66 6.62 6.72 6.5 6.13 6 6.63 6.85 6 6.34 6.5 6.16 6.5 6.16 6 6.5 6.33 6.47 6.37 6 6.16 6.83
## There are 0 observations above the 3rd quantileIn case of final admission score variable (medie_concurs):
## There are 35 observations below the 1st quantile on rows 216 262 441 449 532 730 1395 1403 1486 1514 1522 1605 1803 2028 2074 2361 2460 2667 2709 2714 3541 3623 3627 3693 3698 3714 3826 3878 4006 4092 4227 4452 4515 4531 4543 and the values are 5.5 5.3 5.2 5.56 5.54 5.2 5.2 5.56 5.54 5.2 5.56 5.54 5.2 4.96 5.68 5.8 5.65 5.8 5.75 5.77 5.68 5.81 5.75 5.39 5.2 5.21 5.8 5.32 5.5 5.8 5.77 5.63 5.62 5.42 5.2
## There are 0 observations above the 3rd quantileMissing value detection
## nr_crt cod_candidat proba_scrisa medie_concurs
## Min. : 1.0 Min. :1000 Min. : 0.00 Min. : 4.96
## 1st Qu.: 35.0 1st Qu.:2073 1st Qu.:51.00 1st Qu.: 7.79
## Median : 79.0 Median :3019 Median :63.00 Median : 8.47
## Mean :112.1 Mean :2979 Mean :62.42 Mean : 8.40
## 3rd Qu.:158.0 3rd Qu.:3920 3rd Qu.:75.00 3rd Qu.: 9.10
## Max. :489.0 Max. :4827 Max. :90.00 Max. :10.00
## NA's :367 NA's :367
## medie_licenta statut specializare universitate
## Min. : 6.000 Length:5357 Length:5357 Length:5357
## 1st Qu.: 8.750 Class :character Class :character Class :character
## Median : 9.330 Mode :character Mode :character Mode :character
## Mean : 9.188
## 3rd Qu.:10.000
## Max. :10.000
##
## facutatea
## Length:5357
## Class :character
## Mode :character
##
##
##
## The names of the variable which contains missing values are:
## [1] "proba_scrisa" "medie_concurs"The procent of missing values for each variable:
## nr_crt cod_candidat proba_scrisa medie_concurs medie_licenta
## 0.000000 0.000000 6.850849 6.850849 0.000000
## statut specializare universitate facutatea
## 0.000000 0.000000 0.000000 0.000000
##
## Variables sorted by number of missings:
## Variable Count
## proba_scrisa 0.06850849
## medie_concurs 0.06850849
## medie_licenta 0.00000000Admission results distribution for each faculty
In Figure below we present the admission score distribution for each analyzed faculty:
Conclusion
The target population analyzed in this study includes applicants to ASE master’s programs who are competing for a limited number of positions (both tuition-free and tuition-paying). The dataset contains 5,357 observations, each representing a candidate who applied to the Bucharest University of Economic Studies (ASE) for a master’s program. A total of 367 candidates did not attend the admission exam.
The admission test score ranges from 0 to 90 points, with a mean of 62.42 and a median of 63 points. This indicates that the mean is representative and the distribution is only slightly skewed.
The mean value of the final admission score is 8.4, and the median is 8.47, suggesting a right-skewed distribution, as many scores are relatively high.
For the bachelor’s degree score, values range from 6 to 10, with a mean of 9.19, which shows that most candidates performed well during their undergraduate studies.