Master of Statistics
Master in de Statistiek
2019-2020
Faculteit Wetenschappen2
Welcome! You’ve made a good choice!
Faculteit Wetenschappen3
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)
Faculteit Wetenschappen4
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
Structure of Master of Statistics
Accredited by the Royal Statistical Society
Faculteit Wetenschappen6
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)
Faculteit Wetenschappen7
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)
Faculteit Wetenschappen8
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
Faculteit Wetenschappen9
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)
Faculteit Wetenschappen10
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
Faculteit Wetenschappen11
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)
Faculteit Wetenschappen12
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
Faculteit Wetenschappen13
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)
Faculteit Wetenschappen14
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
Faculteit Wetenschappen15
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
Faculteit Wetenschappen16
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
Faculteit Wetenschappen17
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)
Faculteit Wetenschappen18
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
Faculteit Wetenschappen19
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
Faculteit Wetenschappen20
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
Faculteit Wetenschappen21
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.
Faculteit Wetenschappen22
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
Faculteit Wetenschappen23
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
Faculteit Wetenschappen24
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
Faculteit Wetenschappen25
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
Faculteit Wetenschappen26
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
Faculteit Wetenschappen27
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!
Faculteit Wetenschappen28
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!
Faculteit Wetenschappen29
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!
Faculteit Wetenschappen30
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.
Faculteit Wetenschappen31
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
Faculteit Wetenschappen32
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)
Faculteit Wetenschappen33
Example: ISP for Business statistics student, 1st stage
Faculteit Wetenschappen34
Example: ISP for Business statistics student, 1st stage (cont.)
Faculteit Wetenschappen35
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.
Faculteit Wetenschappen36
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.
Faculteit Wetenschappen37
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
Faculteit Wetenschappen38
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)
Faculteit Wetenschappen39
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).
Faculteit Wetenschappen40
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 )
Faculteit Wetenschappen41
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
Faculteit Wetenschappen42
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!
Faculteit Wetenschappen43
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
Faculteit Wetenschappen44
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
Faculteit Wetenschappen45
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
Faculteit Wetenschappen46
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?
Faculteit Wetenschappen47
In case of doubt
YOU CAN ALWAYS CONTACT THE OMBUDS,
SO DON’T BE AFRAID TO ASK QUESTIONS!!
Faculteit Wetenschappen48
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
Faculteit Wetenschappen49
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
Faculteit Wetenschappen50
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/
Faculteit Wetenschappen51
Deadlines assignments 1st semester
Be aware of these deadlines !
See Excel file on our website : https://lstat.kuleuven.be/masterBologna/student-
information-page
Faculteit Wetenschappen 52
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
The second year students
welcome you!
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!
The Fun Team
Experience Leuven students’ life with us!
• Cantus
• Peter and Meter
• Statscrawl
• Happy hours
• Beach volley (and possibly other sports)
Thank you for your attention,
see you around!
Faculteit Wetenschappen57
Glad you’ve joined our group !