1.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

2.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

3.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

4.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

5.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

6.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

7.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

8.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

9.

Overview of 2021 master programs: Distribution by institution and corpus of student body by enrollment numbers, categorized into general (G) or specific (S) programs.

1.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

2.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

3.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

4.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

5.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

6.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

7.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

8.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

9.

The posterior distribution of the 7 topics across the 4 master programs offered at Utrecht (UU, top) and Groningen University (RUG, bottom).

1.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

2.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

3.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

4.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

5.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

6.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

7.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

8.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

9.

Posterior classification over the 7 topics of the courses offered in the 4 master programs at Utrecht University (UU) and Groningen University (RUG).

1.

Plot of the coherence scores per number of K topics for the CTM.

2.

Plot of the coherence scores per number of K topics for the CTM.

3.

Plot of the coherence scores per number of K topics for the CTM.

4.

Plot of the coherence scores per number of K topics for the CTM.

5.

Plot of the coherence scores per number of K topics for the CTM.

6.

Plot of the coherence scores per number of K topics for the CTM.

7.

Plot of the coherence scores per number of K topics for the CTM.

8.

Plot of the coherence scores per number of K topics for the CTM.

9.

Plot of the coherence scores per number of K topics for the CTM.

1.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

2.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

3.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

4.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

5.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

6.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

7.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

8.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

9.

Seven bar plots of the posteriors per university for every manually labelled topic of the CTM outcomes.

1.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

2.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

3.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

4.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

5.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

6.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

7.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

8.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

9.

The posterior distribution per program type (general vs subject specific) of the 7 topics of the CTM model.

1.

Number of program and course descriptions per university included in the analysis.

2.

Number of program and course descriptions per university included in the analysis.

3.

Number of program and course descriptions per university included in the analysis.

4.

Number of program and course descriptions per university included in the analysis.

5.

Number of program and course descriptions per university included in the analysis.

6.

Number of program and course descriptions per university included in the analysis.

7.

Number of program and course descriptions per university included in the analysis.

8.

Number of program and course descriptions per university included in the analysis.

9.

Number of program and course descriptions per university included in the analysis.

1.

Manual changes made to the texts as part of data pre-processing.

2.

Manual changes made to the texts as part of data pre-processing.

3.

Manual changes made to the texts as part of data pre-processing.

4.

Manual changes made to the texts as part of data pre-processing.

5.

Manual changes made to the texts as part of data pre-processing.

6.

Manual changes made to the texts as part of data pre-processing.

7.

Manual changes made to the texts as part of data pre-processing.

8.

Manual changes made to the texts as part of data pre-processing.

9.

Manual changes made to the texts as part of data pre-processing.

1.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

2.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

3.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

4.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

5.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

6.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

7.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

8.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

9.

Top ten most common words per topic for the CTM where K = 7 with the topic label in last row.

1.

Sorted skills based on manually named topics according to CTM.

2.

Sorted skills based on manually named topics according to CTM.

3.

Sorted skills based on manually named topics according to CTM.

4.

Sorted skills based on manually named topics according to CTM.

5.

Sorted skills based on manually named topics according to CTM.

6.

Sorted skills based on manually named topics according to CTM.

7.

Sorted skills based on manually named topics according to CTM.

8.

Sorted skills based on manually named topics according to CTM.

9.

Sorted skills based on manually named topics according to CTM.