Master of Statistics and Data Science (blended) (Leuven) (120 ECTS) Master of Science
Students with a degree obtained at an institution of the Flemish Community
Direct
On the basis of the following degrees, or similar degrees, obtained at an institution of the Flemish Community:
- Bachelor handelsingenieur (Brussel, Leuven)
- Bachelor handelsingenieur in de beleidsinformatica (Leuven)
- Bachelor in de bio-ingenieurswetenschappen (Leuven)
- Bachelor in de biochemie en de biotechnologie (Leuven)
- Bachelor in de biologie (Kortrijk, Leuven)
- Bachelor in de biomedische wetenschappen (Kortrijk, Leuven)
- Bachelor in de chemie (Kortrijk, Leuven)
- Bachelor in de communicatiewetenschappen (Leuven)
- Bachelor in de criminologische wetenschappen (Leuven)
- Bachelor in de economische wetenschappen (Leuven)
- Bachelor in de farmaceutische wetenschappen (Leuven)
- Bachelor in de fysica (Kortrijk, Leuven)
- Bachelor in de geneeskunde (Kortrijk, Leuven)
- Bachelor in de geografie (Leuven)
- Bachelor in de geologie (Leuven)
- Bachelor in de geowetenschappen (Leuven)
- Bachelor in de informatica (Kortrijk, Leuven)
- Bachelor in de ingenieurswetenschappen (Leuven)
- Bachelor in de lichamelijke opvoeding en de bewegingswetenschappen (Leuven)
- Bachelor in de onderwijskunde (Kortrijk)
- Bachelor in de pedagogische wetenschappen (Leuven)
- Bachelor in de pedagogische wetenschappen (Leuven)
- Bachelor in de politieke wetenschappen en de sociologie (Leuven)
- Bachelor in de psychologie (Leuven)
- Bachelor in de revalidatiewetenschappen en de kinesitherapie (Brugge, Leuven)
- Bachelor in de toegepaste economische wetenschappen (Kortrijk, Leuven)
- Bachelor in de wijsbegeerte (Leuven) (Optie politieke wetenschappen en sociologie, Optie psychologie)
- Bachelor in de wiskunde (Kortrijk, Leuven)
- Bachelor of Business Administration (Brussel)
- Bachelor of Business Engineering (Brussel)
Bachelor of Business Economics
Additional information:
Direct access is always valid for the Bachelor in de wijsbegeerte, option ‘psychologie’. For the option ‘sociologie en politieke wetenschappen’ direct access is only valid when taking one extra basic course of statistics as an optional course.
After admission procedure
Other academic bachelor degrees with at least two courses in introductory statistics after admission by the admission committee: https://lstat.kuleuven.be/contact/index.htm
Additional information: Direct access is always valid for the Bachelor in de wijsbegeerte, option ‘psychologie’. For the option ‘sociologie en politieke wetenschappen’ direct access is only valid when taking one extra basic course of statistics as an optional course.
After an abridged programme
On the basis of the following degrees, or similar degrees, obtained at an institution of the Flemish Community:
- After successfully completing the abridged programme: Bachelor in de bio-ingenieurswetenschappen (
Leuven, 60 sp. )
, the following degrees are accepted:
- Bachelor in de biowetenschappen (Geel)
- Bachelor in de fysica (Leuven) (Minor bio-chemische wetenschappen)
- Bachelor in de industriële wetenschappen (Gent, Leuven, Sint-Katelijne-Waver) (Kernprogramma chemie + Optie biochemie, Kernprogramma chemie + Optie chemie)
- Bachelor in de industriële wetenschappen (Diepenbeek) (Afstudeerrichting chemie)
- Bachelor in de ingenieurswetenschappen: architectuur (Leuven)
- Bachelor in de wiskunde (Leuven) (Minor fysica en sterrenkunde)
- After successfully completing the abridged programme: Bachelor in de criminologische wetenschappen ( Leuven, 130 sp. ) , the following degrees are accepted:
- After successfully completing the abridged programme: Bachelor in de revalidatiewetenschappen en de kinesitherapie ( Leuven, 87 sp. ) , the following degrees are accepted:
Students with a degree not obtained at an institution of the Flemish Community
Students who did not obtain their previous degree(s) at an institution of the Flemish Community should submit an application via the Admissions Office: https://www.kuleuven.be/english/application/.
You can find a list of core documents, which should be submitted with every application, here: https://www.kuleuven.be/english/application/requesteddocuments.
Diploma requirements
To apply for the Master of Science in Statistics, candidates should (have) successfully obtain(ed) an academic bachelor’s degree with at least two courses in introductory statistics.Language requirements
All applicants must prove their proficiency in English. The accepted English proficiency tests are:- TOEFL iBT: minimum overall score of 94, with minimum subscores of 19 for Reading, 18 for Listening, 19 for Speaking and 21 for Writing
- IELTS Academic test: minimum overall score of 7.0, with minimum subscores of 6.5 for Reading, 6.0 for Listening, 6.0 for Speaking and 6.0 for Writing
- Advanced or Proficiency Cambridge Certificates: minimum score of 185, with at least 176 for reading and 169 for listening, speaking and writing.
The following applicants are exempted from submitting an English proficiency certificate:
- Applicants who have obtained a previous university degree taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom and the United States of America. Their entire programme should have been completed in English.
- Applicants who have obtained a Belgian diploma.
Absolutely no other diplomas will be accepted as evidence even if the applicant has followed an exclusively English-taught programme.
Additional requirements
An English version (or translation) of the course description of the statistical, mathematical and otherwise quantitative courses followed during your prior higher education. For each of these courses, you should provide a brief description of the objectives, the main topics treated, the workload per course unit and the course materials used. If your university provides these descriptions online or via a syllabus, you can copy-paste these descriptions.“A GMAT /GMAT Focus/ GRE test result is to be included in the application. For the GMAT a score of 50 on the quantitative part and an overall score of 600 is sufficient for admission. For the GMAT Focus, a score of 87 on the quantitative part and an overall score of 565 is sufficient. Alternatively, a GRE can be submitted with a minimum score of 164 on quantitative reasoning and 152 on verbal reasoning and 3.5 on analytical writing.
Additional information
The admission committee may propose to discuss an application with an applicant via a brief skype interview.
Students with a degree obtained at an institution of the Flemish Community
Direct
On the basis of the following degrees, or similar degrees, obtained at an institution of the Flemish Community:
- Bachelor handelsingenieur (Brussel, Leuven)
- Bachelor handelsingenieur in de beleidsinformatica (Leuven)
- Bachelor in de bio-ingenieurswetenschappen (Leuven)
- Bachelor in de biochemie en de biotechnologie (Leuven)
- Bachelor in de biologie (Kortrijk, Leuven)
- Bachelor in de biomedische wetenschappen (Kortrijk, Leuven)
- Bachelor in de chemie (Kortrijk, Leuven)
- Bachelor in de communicatiewetenschappen (Leuven)
- Bachelor in de criminologische wetenschappen (Leuven)
- Bachelor in de economische wetenschappen (Leuven)
- Bachelor in de farmaceutische wetenschappen (Leuven)
- Bachelor in de fysica (Kortrijk, Leuven)
- Bachelor in de geneeskunde (Kortrijk, Leuven)
- Bachelor in de geografie (Leuven)
- Bachelor in de geologie (Leuven)
- Bachelor in de geowetenschappen (Leuven)
- Bachelor in de informatica (Kortrijk, Leuven)
- Bachelor in de ingenieurswetenschappen (Leuven)
- Bachelor in de lichamelijke opvoeding en de bewegingswetenschappen (Leuven)
- Bachelor in de onderwijskunde (Kortrijk)
- Bachelor in de pedagogische wetenschappen (Leuven)
- Bachelor in de politieke wetenschappen en de sociologie (Leuven)
- Bachelor in de psychologie (Leuven)
- Bachelor in de revalidatiewetenschappen en de kinesitherapie (Brugge, Leuven)
- Bachelor in de toegepaste economische wetenschappen (Kortrijk, Leuven)
- Bachelor in de wijsbegeerte (Leuven) (Optie politieke wetenschappen en sociologie, Optie psychologie)
- Bachelor in de wiskunde (Kortrijk, Leuven)
- Bachelor of Business Administration (Brussel)
- Bachelor of Business Engineering (Brussel)
Additional information:
Direct access is always valid for the Bachelor in de wijsbegeerte, option ‘psychologie’. For the option ‘sociologie en politieke wetenschappen’ direct access is only valid when taking one extra basic course of statistics as an optional course.
After admission procedure
Other academic bachelor degrees with at least two courses in introductory statistics after admission by the admission committee: https://lstat.kuleuven.be/contact/index.htm
Additional information: Direct access is always valid for the Bachelor in de wijsbegeerte, option ‘psychologie’. For the option ‘sociologie en politieke wetenschappen’ direct access is only valid when taking one extra basic course of statistics as an optional course.
After an abridged programme
On the basis of the following degrees, or similar degrees, obtained at an institution of the Flemish Community:
- After successfully completing the abridged programme: Bachelor in de bio-ingenieurswetenschappen (
Leuven, 60 sp. )
, the following degrees are accepted:
- Bachelor in de biowetenschappen (Geel)
- Bachelor in de fysica (Leuven) (Minor bio-chemische wetenschappen)
- Bachelor in de industriële wetenschappen (Gent, Leuven, Sint-Katelijne-Waver) (Afstudeerrichting chemie)
- Bachelor in de industriële wetenschappen (Diepenbeek) (Afstudeerrichting chemie)
- Bachelor in de ingenieurswetenschappen: architectuur (Leuven)
- Bachelor in de wiskunde (Leuven) (Minor fysica en sterrenkunde)
- After successfully completing the abridged programme: Bachelor in de criminologische wetenschappen ( Leuven, 130 sp. ) , the following degrees are accepted:
- After successfully completing the abridged programme: Bachelor in de revalidatiewetenschappen en de kinesitherapie ( Leuven, 87 sp. ) , the following degrees are accepted:
Students with a degree not obtained at an institution of the Flemish Community
Students who did not obtain their previous degree(s) at an institution of the Flemish Community should submit an application via the Admissions Office: https://www.kuleuven.be/english/application/.
You can find a list of core documents, which should be submitted with every application, here: https://www.kuleuven.be/english/application/requesteddocuments.
Diploma requirements
To apply for the Master of Science in Statistics, candidates should (have) successfully obtain(ed) an academic bachelor’s degree with at least two courses in introductory statistics.Language requirements
All applicants must prove their proficiency in English. The accepted English proficiency tests are:- TOEFL iBT: minimum overall score of 94, with minimum subscores of 19 for Reading, 18 for Listening, 19 for Speaking and 21 for Writing
- IELTS Academic test: minimum overall score of 7.0, with minimum subscores of 6.5 for Reading, 6.0 for Listening, 6.0 for Speaking and 6.0 for Writing
- Advanced or Proficiency Cambridge Certificates: minimum score of 185, with at least 176 for reading and 169 for listening, speaking and writing.
The following applicants are exempted from submitting an English proficiency certificate:
- Applicants who have obtained a previous university degree taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom and the United States of America. Their entire programme should have been completed in English.
- Applicants who have obtained a Belgian diploma.
Absolutely no other diplomas will be accepted as evidence even if the applicant has followed an exclusively English-taught programme.
Additional requirements
An English version (or translation) of the course description of the statistical, mathematical and otherwise quantitative courses followed during your prior higher education. For each of these courses, you should provide a brief description of the objectives, the main topics treated, the workload per course unit and the course materials used. If your university provides these descriptions online or via a syllabus, you can copy-paste these descriptions.“A GMAT /GMAT Focus/ GRE test result is to be included in the application. For the GMAT a score of 50 on the quantitative part and an overall score of 600 is sufficient for admission. For the GMAT Focus, a score of 87 on the quantitative part and an overall score of 565 is sufficient. Alternatively, a GRE can be submitted with a minimum score of 164 on quantitative reasoning and 152 on verbal reasoning and 3.5 on analytical writing.
Additional information
The admission committee may propose to discuss an application with an applicant via a brief skype interview.
-
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Philosophical - Ethical Course
This course is compulsory.
4 ECTS Privacy and Big Data H00Y2B staff staff
- R.Gálvez Vizcaíno
- N.
- R.Gálvez Vizcaíno (substitute)
Privacy and Big Data: Lecture (3 ECTS) H00Y2a staff- N.
- R.Gálvez Vizcaíno (substitute)
staff
- N.
- R.Gálvez Vizcaíno (substitute)
Privacy and Big Data: Practical Sessions (1 ECTS) H00Y3a staff staff
-
Profiles
The student chooses one of these profiles.
-
Statistics and Data Science for Biometrics
-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
-
Track Specific Courses
The student chooses a minimum of 32 credits from this group.
5 ECTS Data Management G0Z53B staff staff
Data Management (5 ECTS) G0Z53a staff staff
4 ECTS Epidemiology G0B73B staff staff
Epidemiology (4 ECTS) G0B73a staff staff
4 ECTS Collecting and Analyzing Big Data for Social Sciences S0K17A staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
Collecting and Analyzing Big Data for Social Sciences (4 ECTS) S0K17a staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
4 ECTS Statistical Analysis of Reliability and Survival Data G0B67B staff staff
Statistical Analysis of Reliability and Survival Data (4 ECTS) G0B67a staff staff
4 ECTS Concepts of Bayesian Data Analysis G0B74B staff staff
Concepts of Bayesian Data Analysis (4 ECTS) G0B74a staff staff
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
4 ECTS Experimental Design G0B68B staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
Experimental Design (4 ECTS) G0B68a staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
4 ECTS Concepts of Clinical Trials G0B69B staff staff
Concepts of Clinical Trials (4 ECTS) G0B69a staff staff
4 ECTS Meta Analysis G0B75B staff staff
Systematic Reviews (1 ECTS) G0S74a staff staff
Meta Analysis (3 ECTS) G0B75a staff staff
4 ECTS Concepts of Multilevel, Longitudinal and Mixed Models G0B76B staff staff
Concepts of Multilevel, Longitudinal and Mixed Models (4 ECTS) G0B76a staff staff
4 ECTS Data Visualization in Data Science G0R72B staff staff
Data Visualization in Data Science (4 ECTS) G0R72a staff staff
6 ECTS Advanced Analytics in a Big Data World (BL) D0S06Z staff staff
Big Data Platforms & Technologies (BL) (3 ECTS) D0S06z staff staff
Advanced Analytics in Business (BL) (3 ECTS) D0S07z staff staff
4 ECTS Data Mining and Neural Networks G9X29B staff staff
Data Mining and Neural Networks: Preparatory Reading (1 ECTS) G0T65a staff staff
Data Mining and Neural Networks: Lectures, Part 1 (2.5 ECTS) H05R4a staff staff
Data Mining and Neural Networks: Training Sessions, Part 1 (0.5 ECTS) H05R6a staff staff
4 ECTS Support Vector Machines: Methods and Applications H02D3B staff staff
Support Vector Machines: Methods and Applications: Lecture (3 ECTS) H02D3a staff staff
Support Vector Machines: Methods and Applications: Exercises (1 ECTS) H00H3a staff staff
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Optional Courses
The student chooses courses for a total of 25 ECTS from a list of courses.
- A list of courses below (which are offered fully online)
- Compulsory courses of the master of statistics and data science (blended)
- Courses from the Master of statistics and data science (on campus). This is only allowed if there is no online version of this course. In case you take an on campus course then you implicitly confirm that you follow that course on campus (in Leuven) and that you take the corresponding exam on campus.4 ECTS Advanced Topics in Survival Analysis G0Z51A staff staff
Advanced Topics in Survival Analysis (4 ECTS) G0Z51a staff staff
6 ECTS Longitudinal Data Analysis G0A35A staff staff
- G.Verbeke (coordinator)
- G.Molenberghs
- G.Verbeke
Longitudinal Data Analysis (6 ECTS) G0A35a staff 4 ECTS Capita Selecta in Statistics G0W36A staff- N.
staff
- N.
Capita Selecta in Statistics: clinical risk prediction models (4 ECTS) G0W36a staff- N.
staff
- N.
4 ECTS Optimization and Numerical Methods G0A63B staff- G.Molenberghs (coordinator)
- F.Tuerlinckx
staff
- G.Molenberghs (coordinator)
- F.Tuerlinckx
Optimization and Numerical Methods (4 ECTS) G0A63a staff 3 ECTS Bayesian Data Analysis II G0A62B staff- N.
staff
- N.
Bayesian Data Analysis II (3 ECTS) G0A62a staff- N.
staff
- N.
-
-
Statistics and Data Science for Social, Behavioral and Educational Sciences
-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
-
Track Specific Courses
The student chooses a minimum of 32 credits from this group.
5 ECTS Data Management G0Z53B staff staff
Data Management (5 ECTS) G0Z53a staff staff
4 ECTS Official Statistics G0U73B staff staff
- G.Molenberghs (coordinator)
- R.Beerten
- G.Molenberghs
- W.Schelfaut
Official Statistics (4 ECTS) G0U73a staff 6 ECTS Structural Equations G0B65C staff staff
Structural Equations (2 ECTS) G0B65a staff staff
Deepening: Structural Equations (2 ECTS) G0T87a staff staff
Structural Equations: Laboratory Sessions (2 ECTS) G0W08a staff staff
4 ECTS Survey Methodology G0A66A staff- N.
- T.Laenen (substitute)
staff
- N.
- T.Laenen (substitute)
Survey Methodology (4 ECTS) G0A66a staff- N.
- T.Laenen (substitute)
staff
- N.
- T.Laenen (substitute)
4 ECTS Collecting and Analyzing Big Data for Social Sciences S0K17A staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
Collecting and Analyzing Big Data for Social Sciences (4 ECTS) S0K17a staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
4 ECTS Concepts of Bayesian Data Analysis G0B74B staff staff
Concepts of Bayesian Data Analysis (4 ECTS) G0B74a staff staff
4 ECTS Experimental Design G0B68B staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
Experimental Design (4 ECTS) G0B68a staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
4 ECTS Meta Analysis G0B75B staff staff
Systematic Reviews (1 ECTS) G0S74a staff staff
Meta Analysis (3 ECTS) G0B75a staff staff
4 ECTS Concepts of Multilevel, Longitudinal and Mixed Models G0B76B staff staff
Concepts of Multilevel, Longitudinal and Mixed Models (4 ECTS) G0B76a staff staff
4 ECTS Data Visualization in Data Science G0R72B staff staff
Data Visualization in Data Science (4 ECTS) G0R72a staff staff
4 ECTS Sampling Theory G0B72B staff staff
Sampling Theory (4 ECTS) G0B72a staff staff
6 ECTS Advanced Analytics in a Big Data World (BL) D0S06Z staff staff
Big Data Platforms & Technologies (BL) (3 ECTS) D0S06z staff staff
Advanced Analytics in Business (BL) (3 ECTS) D0S07z staff staff
4 ECTS Data Mining and Neural Networks G9X29B staff staff
Data Mining and Neural Networks: Preparatory Reading (1 ECTS) G0T65a staff staff
Data Mining and Neural Networks: Lectures, Part 1 (2.5 ECTS) H05R4a staff staff
Data Mining and Neural Networks: Training Sessions, Part 1 (0.5 ECTS) H05R6a staff staff
-
Optional Courses
The student chooses courses for a total of 25 ECTS from a list of courses.
- A list of courses below (which are offered fully online)
- Compulsory courses of the master of statistics and data science (blended)
- Courses from the Master of statistics and data science (on campus). This is only allowed if there is no online version of this course. In case you take an on campus course then you implicitly confirm that you follow that course on campus (in Leuven) and that you take the corresponding exam on campus.4 ECTS Advanced Topics in Survival Analysis G0Z51A staff staff
Advanced Topics in Survival Analysis (4 ECTS) G0Z51a staff staff
6 ECTS Longitudinal Data Analysis G0A35A staff staff
- G.Verbeke (coordinator)
- G.Molenberghs
- G.Verbeke
Longitudinal Data Analysis (6 ECTS) G0A35a staff 4 ECTS Capita Selecta in Statistics G0W36A staff- N.
staff
- N.
Capita Selecta in Statistics: clinical risk prediction models (4 ECTS) G0W36a staff- N.
staff
- N.
4 ECTS Optimization and Numerical Methods G0A63B staff- G.Molenberghs (coordinator)
- F.Tuerlinckx
staff
- G.Molenberghs (coordinator)
- F.Tuerlinckx
Optimization and Numerical Methods (4 ECTS) G0A63a staff 3 ECTS Bayesian Data Analysis II G0A62B staff- N.
staff
- N.
Bayesian Data Analysis II (3 ECTS) G0A62a staff- N.
staff
- N.
-
-
Statistics and Data Science for Business
-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
-
Track Specific Courses
The student chooses a minimum of 32 credits from this group.
5 ECTS Data Management G0Z53B staff staff
Data Management (5 ECTS) G0Z53a staff staff
4 ECTS Official Statistics G0U73B staff staff
- G.Molenberghs (coordinator)
- R.Beerten
- G.Molenberghs
- W.Schelfaut
Official Statistics (4 ECTS) G0U73a staff 6 ECTS Structural Equations G0B65C staff staff
Structural Equations (2 ECTS) G0B65a staff staff
Deepening: Structural Equations (2 ECTS) G0T87a staff staff
Structural Equations: Laboratory Sessions (2 ECTS) G0W08a staff staff
6 ECTS Advanced Econometrics (BL) D0M61Z staff Advanced Econometrics (BL) (6 ECTS) D0M61z staff 4 ECTS Survey Methodology G0A66A staff- N.
- T.Laenen (substitute)
staff
- N.
- T.Laenen (substitute)
Survey Methodology (4 ECTS) G0A66a staff- N.
- T.Laenen (substitute)
staff
- N.
- T.Laenen (substitute)
4 ECTS Collecting and Analyzing Big Data for Social Sciences S0K17A staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
Collecting and Analyzing Big Data for Social Sciences (4 ECTS) S0K17a staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
3 ECTS Total Quality Management H00N6B staff staff
Total Quality Management (3 ECTS) H00N6a staff staff
4 ECTS Statistical Analysis of Reliability and Survival Data G0B67B staff staff
Statistical Analysis of Reliability and Survival Data (4 ECTS) G0B67a staff staff
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
4 ECTS Data Visualization in Data Science G0R72B staff staff
Data Visualization in Data Science (4 ECTS) G0R72a staff staff
4 ECTS Sampling Theory G0B72B staff staff
Sampling Theory (4 ECTS) G0B72a staff staff
6 ECTS Advanced Analytics in a Big Data World (BL) D0S06Z staff staff
Big Data Platforms & Technologies (BL) (3 ECTS) D0S06z staff staff
Advanced Analytics in Business (BL) (3 ECTS) D0S07z staff staff
4 ECTS Data Mining and Neural Networks G9X29B staff staff
Data Mining and Neural Networks: Preparatory Reading (1 ECTS) G0T65a staff staff
Data Mining and Neural Networks: Lectures, Part 1 (2.5 ECTS) H05R4a staff staff
Data Mining and Neural Networks: Training Sessions, Part 1 (0.5 ECTS) H05R6a staff staff
4 ECTS Support Vector Machines: Methods and Applications H02D3B staff staff
Support Vector Machines: Methods and Applications: Lecture (3 ECTS) H02D3a staff staff
Support Vector Machines: Methods and Applications: Exercises (1 ECTS) H00H3a staff staff
-
Optional Courses
The student chooses courses for a total of 25 ECTS from a list of courses.
- A list of courses below (which are offered fully online)
- Compulsory courses of the master of statistics and data science (blended)
- Courses from the Master of statistics and data science (on campus). This is only allowed if there is no online version of this course. In case you take an on campus course then you implicitly confirm that you follow that course on campus (in Leuven) and that you take the corresponding exam on campus.4 ECTS Advanced Topics in Survival Analysis G0Z51A staff staff
Advanced Topics in Survival Analysis (4 ECTS) G0Z51a staff staff
6 ECTS Longitudinal Data Analysis G0A35A staff staff
- G.Verbeke (coordinator)
- G.Molenberghs
- G.Verbeke
Longitudinal Data Analysis (6 ECTS) G0A35a staff 4 ECTS Capita Selecta in Statistics G0W36A staff- N.
staff
- N.
Capita Selecta in Statistics: clinical risk prediction models (4 ECTS) G0W36a staff- N.
staff
- N.
4 ECTS Optimization and Numerical Methods G0A63B staff- G.Molenberghs (coordinator)
- F.Tuerlinckx
staff
- G.Molenberghs (coordinator)
- F.Tuerlinckx
Optimization and Numerical Methods (4 ECTS) G0A63a staff 3 ECTS Bayesian Data Analysis II G0A62B staff- N.
staff
- N.
Bayesian Data Analysis II (3 ECTS) G0A62a staff- N.
staff
- N.
-
-
Statistics and Data Science for Industry
-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
-
Track Specific Courses
The students chooses a minimum of 32 credits from this group.
5 ECTS Data Management G0Z53B staff staff
Data Management (5 ECTS) G0Z53a staff staff
4 ECTS Chemometrics G0B70B staff staff
Chemometrics (4 ECTS) G0B70a staff staff
4 ECTS Collecting and Analyzing Big Data for Social Sciences S0K17A staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
Collecting and Analyzing Big Data for Social Sciences (4 ECTS) S0K17a staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
3 ECTS Total Quality Management H00N6B staff staff
Total Quality Management (3 ECTS) H00N6a staff staff
4 ECTS Statistical Analysis of Reliability and Survival Data G0B67B staff staff
Statistical Analysis of Reliability and Survival Data (4 ECTS) G0B67a staff staff
4 ECTS Concepts of Bayesian Data Analysis G0B74B staff staff
Concepts of Bayesian Data Analysis (4 ECTS) G0B74a staff staff
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
4 ECTS Experimental Design G0B68B staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
Experimental Design (4 ECTS) G0B68a staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
4 ECTS Data Visualization in Data Science G0R72B staff staff
Data Visualization in Data Science (4 ECTS) G0R72a staff staff
6 ECTS Advanced Analytics in a Big Data World (BL) D0S06Z staff staff
Big Data Platforms & Technologies (BL) (3 ECTS) D0S06z staff staff
Advanced Analytics in Business (BL) (3 ECTS) D0S07z staff staff
4 ECTS Data Mining and Neural Networks G9X29B staff staff
Data Mining and Neural Networks: Preparatory Reading (1 ECTS) G0T65a staff staff
Data Mining and Neural Networks: Lectures, Part 1 (2.5 ECTS) H05R4a staff staff
Data Mining and Neural Networks: Training Sessions, Part 1 (0.5 ECTS) H05R6a staff staff
4 ECTS Support Vector Machines: Methods and Applications H02D3B staff staff
Support Vector Machines: Methods and Applications: Lecture (3 ECTS) H02D3a staff staff
Support Vector Machines: Methods and Applications: Exercises (1 ECTS) H00H3a staff staff
-
Optional Courses
The student chooses courses for a total of 25 ECTS from a list of courses.
- A list of courses below (which are offered fully online)
- Compulsory courses of the master of statistics and data science (blended)
- Courses from the Master of statistics and data science (on campus). This is only allowed if there is no online version of this course. In case you take an on campus course then you implicitly confirm that you follow that course on campus (in Leuven) and that you take the corresponding exam on campus.4 ECTS Advanced Topics in Survival Analysis G0Z51A staff staff
Advanced Topics in Survival Analysis (4 ECTS) G0Z51a staff staff
6 ECTS Longitudinal Data Analysis G0A35A staff staff
- G.Verbeke (coordinator)
- G.Molenberghs
- G.Verbeke
Longitudinal Data Analysis (6 ECTS) G0A35a staff 4 ECTS Capita Selecta in Statistics G0W36A staff- N.
staff
- N.
Capita Selecta in Statistics: clinical risk prediction models (4 ECTS) G0W36a staff- N.
staff
- N.
4 ECTS Optimization and Numerical Methods G0A63B staff- G.Molenberghs (coordinator)
- F.Tuerlinckx
staff
- G.Molenberghs (coordinator)
- F.Tuerlinckx
Optimization and Numerical Methods (4 ECTS) G0A63a staff 3 ECTS Bayesian Data Analysis II G0A62B staff- N.
staff
- N.
Bayesian Data Analysis II (3 ECTS) G0A62a staff- N.
staff
- N.
-
-
Theoretical Statistics and Data Science
-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
4 ECTS Statistical Consulting G0B66B staff staff
- G.Molenberghs (coordinator)
- G.Verbeke
- N.
- M.Luyts (substitute)
Statistical Consulting (4 ECTS) G0B66a staff staff
- G.Molenberghs
- G.Verbeke
- N.
- M.Luyts (substitute)
-
Track Specific Courses
The student chooses a minimum of 32 credits from this group.
6 ECTS Probability and Measure Online G0P63C staff- N.
- A.Wennman (substitute)
staff
- N.
- A.Wennman (substitute)
Probability and Measure (4 ECTS) G0P63a staff- N.
- A.Wennman (substitute)
staff
- N.
- A.Wennman (substitute)
Probability and Measure: Exercises (2 ECTS) G0P64a staff- N.
- A.Wennman (substitute)
staff
- N.
- A.Wennman (substitute)
5 ECTS Data Management G0Z53B staff staff
Data Management (5 ECTS) G0Z53a staff staff
4 ECTS Collecting and Analyzing Big Data for Social Sciences S0K17A staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
Collecting and Analyzing Big Data for Social Sciences (4 ECTS) S0K17a staff staff
- C.Meeusen
- K.Beullens (substitute)
- D.Dementeva (cooperator)
4 ECTS Statistical Analysis of Reliability and Survival Data G0B67B staff staff
Statistical Analysis of Reliability and Survival Data (4 ECTS) G0B67a staff staff
4 ECTS Concepts of Bayesian Data Analysis G0B74B staff staff
Concepts of Bayesian Data Analysis (4 ECTS) G0B74a staff staff
4 ECTS Experimental Design G0B68B staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
Experimental Design (4 ECTS) G0B68a staff- P.Goos
- A.Strouwen (substitute)
staff
- P.Goos
- A.Strouwen (substitute)
4 ECTS Meta Analysis G0B75B staff staff
Systematic Reviews (1 ECTS) G0S74a staff staff
Meta Analysis (3 ECTS) G0B75a staff staff
4 ECTS Concepts of Multilevel, Longitudinal and Mixed Models G0B76B staff staff
Concepts of Multilevel, Longitudinal and Mixed Models (4 ECTS) G0B76a staff staff
4 ECTS Data Visualization in Data Science G0R72B staff staff
Data Visualization in Data Science (4 ECTS) G0R72a staff staff
4 ECTS Sampling Theory G0B72B staff staff
Sampling Theory (4 ECTS) G0B72a staff staff
6 ECTS Advanced Analytics in a Big Data World (BL) D0S06Z staff staff
Big Data Platforms & Technologies (BL) (3 ECTS) D0S06z staff staff
Advanced Analytics in Business (BL) (3 ECTS) D0S07z staff staff
4 ECTS Data Mining and Neural Networks G9X29B staff staff
Data Mining and Neural Networks: Preparatory Reading (1 ECTS) G0T65a staff staff
Data Mining and Neural Networks: Lectures, Part 1 (2.5 ECTS) H05R4a staff staff
Data Mining and Neural Networks: Training Sessions, Part 1 (0.5 ECTS) H05R6a staff staff
4 ECTS Support Vector Machines: Methods and Applications H02D3B staff staff
Support Vector Machines: Methods and Applications: Lecture (3 ECTS) H02D3a staff staff
Support Vector Machines: Methods and Applications: Exercises (1 ECTS) H00H3a staff staff
-
Optional Courses
The student chooses courses for a total of 25 ECTS from a list of courses.
- A list of courses below (which are offered fully online)
- Compulsory courses of the master of statistics and data science (blended)
- Courses from the Master of statistics and data science (on campus). This is only allowed if there is no online version of this course. In case you take an on campus course then you implicitly confirm that you follow that course on campus (in Leuven) and that you take the corresponding exam on campus.4 ECTS Advanced Topics in Survival Analysis G0Z51A staff staff
Advanced Topics in Survival Analysis (4 ECTS) G0Z51a staff staff
6 ECTS Longitudinal Data Analysis G0A35A staff staff
- G.Verbeke (coordinator)
- G.Molenberghs
- G.Verbeke
Longitudinal Data Analysis (6 ECTS) G0A35a staff 4 ECTS Capita Selecta in Statistics G0W36A staff- N.
staff
- N.
Capita Selecta in Statistics: clinical risk prediction models (4 ECTS) G0W36a staff- N.
staff
- N.
4 ECTS Optimization and Numerical Methods G0A63B staff- G.Molenberghs (coordinator)
- F.Tuerlinckx
staff
- G.Molenberghs (coordinator)
- F.Tuerlinckx
Optimization and Numerical Methods (4 ECTS) G0A63a staff 3 ECTS Bayesian Data Analysis II G0A62B staff- N.
staff
- N.
Bayesian Data Analysis II (3 ECTS) G0A62a staff- N.
staff
- N.
-
-
Interdisciplinary Statistics and Data Science (No new enrollments for this track as from academic year 2024-2025)
This track is being phased out as from academic year 2024-2025. Thus no new enrollments can be registered.
The student chooses 61 credits from the Track Specific Courses of the other tracks (Biometrics; Social, Behavioral and Educational; Business, Industrial and Theoretical ). 32 ECTS can be chosen in the first year, the rest can be taken in the 2nd year.-
Basic Courses
All courses are compulsory.
6 ECTS Fundamental Concepts of Statistics G0A17B staff Fundamental Concepts of Statistics (6 ECTS) G0A17a staff staff
3 ECTS Statistical Software G0A21B staff staff
Statistical Software (3 ECTS) G0A21a staff staff
6 ECTS Linear Models G0Z50B staff- A.Alonso Abad (coordinator)
- T.Neyens
staff
- A.Alonso Abad (coordinator)
- T.Neyens
Linear Models (6 ECTS) G0Z50a staff 6 ECTS Multivariate Statistics (BL) D0M62Z staff staff
Multivariate Statistics (BL) (6 ECTS) D0M62z staff staff
6 ECTS Generalized Linear Models G0A18B staff staff
Generalized Linear Models (6 ECTS) G0A18a staff staff
4 ECTS Modern Data Analytics G0Z39C staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
Modern Data Analytics (4 ECTS) G0Z39a staff staff
- J.De Spiegeleer
- N.
- M.Luyts (substitute)
-
-
-
Master's Thesis
This course is compulsory.
24 ECTS Master's Thesis G0A16A staff- I.Van Keilegom (coordinator)
- N.
staff
- I.Van Keilegom (coordinator)
- N.
Master's Thesis 1 (22 ECTS) G0A16a staff- N.
staff
- N.
Master's Thesis 2 (2 ECTS) G0W15a staff- N.
staff
- N.
-