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Master of Statistics Master in de Statistiek 2019-2020
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Page 1: Master of Statistics Master in de Statistiek 2019-2020...Exam forms in Belgium, Flanders, Leuven, may differ from what you are used to! November 12 2019: 9.00 –10.30 24 Faculteit

Master of Statistics

Master in de Statistiek

2019-2020

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Welcome! You’ve made a good choice!

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Educational Programmes

• Master of Statistics (120 ECTS)

Accredited by The Royal Statistical Society.

• Master of Statistics, one-year abridged programme ( 67 ECTS)

• Master in de Statistiek (120 ECTS)

Requirement of Flemish government to offer programme in Dutch as well.

Not a fully ‘balanced’ programme

• Master of Statistics, QASS (60 ECTS)

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QASS Track

Quantitative Analysis in the Social Sciences (QASS)

• Reduced track (60 ECTS)

• 1 year

• Largely evening/weekend programme

• Separate admission procedure

• Admission requirements: Master or 4-year bachelor of selected background

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Structure of Master of Statistics

Accredited by the Royal Statistical Society

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Master of Statistics: Tracks

Biometrics

Social behavioural and educational statistics

Business statistics

Industrial statistics

• General statistical methodology

• European Master of Official Statistics

• All-round statistics track

• Statistiek en Onderwijs (Master Statistiek)

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Basic Courses (30 ECTS)

Biometrics(32 ECTS)

Social (32 ECTS)

Business (32 ECTS)

Industrial (32 ECTS)

General(32 ECTS)

EMOS(32 ECTS)

All roundstatistics / Statistiek en Onderwijs

(62 ECTS)

Optional courses (30 ECTS)

Ethics course (4 ECTS) + Master thesis (24 ECTS)

Master of Statistics (120 ECTS)

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Biometrics, stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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Biometrics, stage 1, Compulsory Courses (32 ECTS)

• Statistical Consulting

• Statistical Analysis of Reliability and

Survival Data

• Experimental Design (web lectures)

• Concepts of Clinical Trials

• Epidemiology (1st sem.)

• Almost all courses are taught in 2nd semester

• Compulsory for all students

• 4 ECTS each ( 15 hours)

• Concepts of Bayesian Data Analysis

(video-teaching)

• Meta Analysis

• Concepts of Multilevel, Longitudinal and

Mixed Models (web lectures)

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Social, Behavioral and Educational Statistics,

stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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Social, Behavioral and Educational Statistics,

stage 1, Compulsory Courses (32 ECTS)

• Multilevel Analysis (6 ECTS)

• Survey Methodology

• Structural Equations (6 ECTS)

• Experimental Design (web lectures)

• Sampling Theory (web lectures)

• Almost all courses are taught in 2nd semester

• The student chooses a minimum of 32 credits from the list

• Most courses have 4 ECTS

• Concepts of Bayesian Data Analysis

(video-teaching)

• Meta Analysis

• Official Statistics (1st sem.)

• Concepts of Multilevel, Longitudinal and

Mixed Models (web lectures)

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Business Statistics,

stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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Business Statistics,

stage 1, Compulsory Courses (32 ECTS)

• Statistical Tools for Quantitative Risk

Management (1st sem.)

• Advanced econometrics (1st sem.)

• Advanced Time Series Analysis (1st

sem.)

• Data mining and Neural Networks (1st

sem.)

• Fundamentals of Financial Mathematics

(1st sem)

• Official Statistics(1st sem)

• Some courses are taught in 1st semester of stage 1! Take some of these courses in stage 2.

• The student chooses a minimum of 32 credits from the list

• Total Quality Management

• Survey Methodology

• Statistical Analysis of Reliability and

Survival Data

• Sampling theory (web lectures)

• Structural Equations (6 ECTS)

• Advanced applied econometrics (6

ECTS)

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Industrial Statistics,

stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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Industrial Statistics,

stage 1, Compulsory Courses (32 ECTS)

• Data mining and Neural Networks (1st

sem.)

• Chemometrics (1st sem)

• Almost all courses are taught in 2nd semester

• You can take Chemometrics or Data Mining in 1st stage, other course in 2nd stage

• All courses are compulsory

• Statistical Consulting

• Statistical Analysis of Reliability and

Survival Data

• Experimental Design (web lectures)

• Stochastic Models

• Concepts of Bayesian Data Analysis

(video-conf.)

• Total Quality Management

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General Statistical Methodology,

stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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General Statistical Methodology,

stage 1, Compulsory Courses (32 ECTS)

• Advanced Time Series Analysis (6 ECTS,

1st sem.)

• Data mining and Neural Networks (1st

sem.)

• Concepts of Bayesian Data Analysis

(video-conf.)

• Meta Analysis

• Almost all courses are taught in 2nd semester

• All courses are compulsory

• Statistical Analysis of Reliability and

Survival Data

• Experimental Design (web lectures)

• Sampling Theory (web lectures)

• Concepts of Multilevel, Longitudinal and

Mixed Models (web lectures)

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All round Statistics,

stage 1, Basic Courses (30 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Analysis of Variance (4 ECTS)

• Multivariate Statistics (6 ECTS)

• Statistical Software (3 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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All round Statistics,

stage 1, Compulsory Courses (62 ECTS)

Choose 62 ECTS from compulsory courses of other options

Choose half of these in the 1st stage and half of these in 2nd stage

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European Master of Official Statistics (EMOS),

stage 1, Basic Courses (29 ECTS)

• Fundamental Concepts of Statistics ( 6 ECTS)

• Generalized Linear Models (2nd sem., 6 ECTS)

• Regression Analysis (5 ECTS)

• Official Statistics (4 ECTS)

• Survey Methodology (4 ECTS)

• Sampling Theory (4 ECTS)

• Almost all courses are taught in 1st semester

• Compulsory for all students

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European Master of Official Statistics (EMOS),

stage 1, Semi-electives (30 ECTS)

• Geographic Information Systems (4 ECTS)

• Spatial Epidemiology (5 ECTS)

• The European union in global governance (6 ECTS)

• Meta analysis (4 ECTS)

• Structural equations (4 ECTS)

• …..(see website)

• Student chooses for 30 ECTS among list of courses e.g.

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All year 1 students:

Ethics session

One session on ‘Ethical Aspects of Statistical Consulting’ will be organised in the

Spring 2020. This is mandatory for all 1st year students. (Prof. G. Molenberghs)

Thursday, March 5 2020, 9.00-11.30

Room: MTC1 – 01.03

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All year 1 students:

Instruction on examination forms

Exam forms in Belgium, Flanders, Leuven, may differ from what you are used to!

November 12 2019: 9.00 – 10.30

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Basic Courses (30 ECTS)

Biometrics(32 ECTS)

Social (32 ECTS)

Business (32 ECTS)

Industrial (32 ECTS)

General(32 ECTS)

EMOS(32 ECTS)

All roundstatistics / Statistiek en Onderwijs

(62 ECTS)

Optional courses (30 ECTS)

Ethics course (4 ECTS) + Master thesis (24 ECTS)

Master of Statistics, Stage 2

P

h

a

s

e

2

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Stage 2 : Optional courses (all students, except EMOS)

Choose 30 ECTS from

- list of courses common to all profiles

- recommended optional courses for your

specialisation

- Other courses from Master of Statistics

- Other courses from Master of Statistics

(Uhasselt)

- Other courses from other master programmes

Choice has to approved!

Students from

Biometrics

Social, Behavioral and Educational

Statistics

Business Statistics

Industrial Statistics

General Statistical Methodology

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Stage 2 (only EMOS students)

Elective courses + Internship

Choose 18 ECTS from

- list of elective courses

Internship (15 ECTS)

- National Bank Belgium

- Statistics Belgium

- Statistiek Vlaanderen

- CBS, The Netherlands

Students from

EMOS

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All stage 2 students:

Ethics course (4 ECTS)

Choose a course of at least 4 credits with a philosophical and/or ethical content (in a broad

sense) from the courses at this university.

Suggestions:

• Science communication & Outreach (6 ECTS, 2nd sem)

• Science and sustainability (6 ECTS, Year course)

• Buddhism

• Business ethics

• Human genetics, ethics and policy

• Privacy and Big Data

• Philosophy of Technology , ….

Choice has to be approved!

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All stage 2 students:

Master thesis (24 ECTS)

Procedure:

1. List of topics will be available (April of the 1st phase)

2. Indicate 1st, 2nd, 3rd choice or propose your own topic (Before May 1st)

3. Topics will be allocated to students (Before end of June )

4. Contact promotor + Written summary (before December 1st)

5. Contact promotor + Intermediate presentation (mid March)

6. Contact promotor + Submit thesis (June 1st) + upload KU Loket (TurnItin)

7. Defense of thesis (end of June)

New Milestones Tool for project is used!

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All stage 2 students:

Master thesis (24 ECTS)

New Milestones tool in Toledo (Pilot project of KU Leuven)

Extra session on Milestones Master thesis will be organised at the end of October

2019/ start of November!

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All stage 2 students:

Master thesis (24 ECTS): Thesis presentation

Regular students: June session or September session

There is a session in January but only for those students who have

followed the intermediate thesis defense the (academic) year before and

...

under the condition that only (and maximum) two courses of the first

semester are fulfilled/passed by then. If you want to graduate in January,

you have to submit a request via this link.

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Library session: Identify & locate resources

• Good search strategy

• LIMO

• Web of Science

• Reference Manager

Be there!

Dates (you only have to follow 1 session):

• Monday, Septemer 30 : 4 – 6 pm

• Monday, October 7th: 2 – 4 pm

• Friday, October 11th: 10.30-12.30 am

Location:

De Le Ville, Arenberg Library, W. De Croylaan

6, Heverlee

Remark:

bring your laptop with you

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Individual Study Program (ISP)

1. Application available from September 9 onwards.

2. Select courses that you intend to follow this year (2019-2020) (Toledo !) Usually between 54 and 66

ECTS.

3. Indicate the track/profile that you choose !

4. Make sure there are no clashes in the individual exam schedule (IER) of the courses that you

select.

5. (Apply for possible exemptions )

6. Submit your ISP by October 9th.

Web application in KU Loket( see http://www.kuleuven.be/english/education/studyroute/isp)

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Example: ISP for Business statistics student, 1st stage

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Example: ISP for Business statistics student, 1st stage (cont.)

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Individual Exam Schedule (IES/IER)

Remark :

For oral exams (and master thesis defense), professors can make schedule with

individual time slots (do not rely on generic times)! Be aware that the date mentioned

in IER is subject to individual planning (for oral exams)!

From now :

Individual exam schedules are available for the courses from your stage.

More information:

http://icts.kuleuven.be/docs/at/cm/ve/manual.

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Request and permission forms

In case you want to

• Apply for credit contract

• Ask for an exemption

• Permission to change option (e.g. biometrics Industrial) or to choose an option

• Permission to change program(e.g. Dutch Master in statistiek English Master of Statistics)

• Interuniversity student

• Permission to graduate in January

• Request to put thesis under embargo

See https://wet.kuleuven.be/english/request-forms for request and

permission forms.

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Remarks on ISP

• Once you have submitted the ISP, you cannot make any changes yourself!!

• Approval before November 13th

• Changes for 2nd semester can be made at the beginning of the 2nd semester

• If you have problems with the ISP, please come to the ISP open office hour of An

Carbonez on October 3 (9.00-11.00), Celestijnenlaan 200 B, 02.08

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Exam regulations

Take a look at :

https://www.kuleuven.be/education/regulations/2019/

Implementation is very strict!!

Article 81. Criteria for succeeding in a master programme (Paragraph 2)

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Exam regulation: Successfull completion of a master’s programme

Students pass a Master's programme

a) pass all courses of the programme (at least 10/20);

b)

• they obtain for the programme as a whole 68%;

• and

- they have at most one fail mark of 9/20 for a course in the academic year

they graduate (not the Master thesis or internship).

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Exam regulation: Exam periods

• 1st exam period: January 2020 (for 1st semester courses)

• 2nd exam period: June 2020 (for 2nd semester courses)

For courses failed in January and/or June there is

• 3rd exam period : August-September 2020

You have to register for this 3rd exam period (see

https://www.kuleuven.be/english/education/student/examinations/third-exam-

period )

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Exam regulation: Refusal of registration (Blocking)

For every course, you have 2 years (credit contract ) or 3 years (diploma

contract) to pass that course.

Otherwise: refusal of registration for 3 year for all courses leading to this

degree.

https://www.kuleuven.be/english/education/student/studyprogress/Refusalregistr

ation/refusalexamopportunities

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Exam regulations: Do not commit plagiarism

Plagiarism is any identical or lightly-altered use of one's own or someone else’s

work (ideas, texts, structures, images, plans, etc.) without adequate reference to

the source.

http://www.kuleuven.be/plagiarism/avoidance.html

KU Leuven has a tool for plagiarism detection: every master thesis is checked by

Turnitin

Learn to use appropriate citation!

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Plagiarism appears in different ways

• The literal or near-literal use of someone else’s text(s) (or parts of these)

irrespective of the source (including digital sources, whether or not through

the internet) without indicating a citation (for example, through quotation

marks) and / or without adequate reference to the source

• Copying images, diagrams, graphics, figures, sound or image fragments,

etc., without adequate reference to the source

• Paraphrasing someone else’s arguments without adequate reference to

the source

• Translating texts without adequate reference to the source

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Plagiarism

Plagiarism damages the quality of a paper and thus can be interpreted as fraud.

Other forms of fraud lean towards plagiarism and are just as intolerable, such as:

• Commissioning or having papers revised (whether or not for pay), and

passing this off as one’s own work

• The re-use of one’s own work and passing it off as a new paper

• Simulating or falsifying research data

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Ombuds person 2019-2020

Martial Luyts

Location:

L-Biostat (second floor),

Kapucijnenvoer 35,

3000 Leuven

E-mail: [email protected]

Tasks: Contact the ombuds prior to any exam(s) for

which you want to withdraw from, reschedule for,...

1. Rescheduling an exam

2. Withdrawing from (an) exam(s) and/or paper(s)

3. Mediating between students and professors

4. Support and referral

5. Information of the examination regulations

6. Spread of examinations

7. Alternative examination arrangements

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Questions from former students

1. Dear Martial, I would like reschedule my exam of

“Advanced Time Series” due to sickness. Attached

you can find the attest of the doctor. Is this possible?

2. Hi Martial, I just received a full-time contract and this

starts on the 22nd of August. However, I still have one

exam to pass, which is scheduled on the 25th of

August. Is it possible to reschedule the exam before

the 22nd of August?

3. Hi Martial, I would like to reschedule my exam of

“Support Vector Machines”. I booked a travelling

ticket and will return to Belgium on the 16th of August.

However, the exam is scheduled on the 11th of

August, which is not in the official exam period of the

faculty of Science. Can I reschedule my exam to a

later date?

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In case of doubt

YOU CAN ALWAYS CONTACT THE OMBUDS,

SO DON’T BE AFRAID TO ASK QUESTIONS!!

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POC (Permanent Educational Committee)

Meets 2-3 times a year

Members:

• Programme director

• Programme coordinator

• Representatives from all 6 specialisations + QASS

• Ombudsperson (Martial Luyts)

• 6 student representatives (From 1st stage (2), from 2nd stage (2) and from

QASS(2))

Are you interested to take part ? Let us know

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Information & contact

• Our website:

• https://lstat.kuleuven.be/

• https://lstat.kuleuven.be/masterBologna/student-information-page

• Jobs: http://lstat.kuleuven.be/jobs/Jobopportunities

Program Director:

Prof. G. Molenberghs

Program Coordinator:

Prof. A.Carbonez

Administrative Support :

Eveline Declercq

Ombuds person:

Martial Luyts

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KU Leuven Datathon is fun !

Save the date:

February 20, 2020

• Datamining competition at KU Leuven

• Students work in team

• Prizes to win

• Participation is free

See http://datathon.cs.kuleuven.be/

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Deadlines assignments 1st semester

Be aware of these deadlines !

See Excel file on our website : https://lstat.kuleuven.be/masterBologna/student-

information-page

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Maths assistance sessions for 1st year Statistics students

• Four 2-hour sessions, every Tuesday afternoon (16h30 – 18h30)• Extremely useful for your upcoming statistics classes, especially Fund. Stat. Meth.• Venue: Check your KU LOKET( 200 A 00.225 – Aud. E. Duval)

Date Topic & Main Instructor Contents

(1)

01/10

Linear Algebra • Systems of linear equations• Matrix algebra: Addition, Multiplication, Inverse, Determinants and other basic

properties• Eigenvalues and Eigenvectors

(2)

8/10,

Ordinary Differentiation • Functions and Limits• Ordinary derivative techniques: Basic rules, Chain rule, Implicit differentiation, Maxima

and minima, etc.

(3)

15/10,

Advanced Differentiation, Combinatorics

• Advanced differentiation and its related concepts: Multivariate extension (Partial derivative) & Taylor series

• Combinatorics: Sets, Counting, Combination and its application in Probability

(4)

22/10

Integration • Integral techniques: Indefinite, definite and improper integrals, Substitution, Integration by parts & Differential equations

• Multivariate integration, e.g. double integrals, etc. • Basic application to probability and statistics

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The second year students

welcome you!

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What would we like to do?

• Getting to know each other

• Support you with your initial questions

• Share information about classes, course materials, life at KU Leuven

• Social activities

• We will have some classes in common, so let’s stay in touch!

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The Fun Team

Experience Leuven students’ life with us!

• Cantus

• Peter and Meter

• Statscrawl

• Happy hours

• Beach volley (and possibly other sports)

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Thank you for your attention,

see you around!

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Glad you’ve joined our group !


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