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Mathematics & Statistics

PhD (NFQ Level 10)

This course is available through the following application route(s)

Duration:
4 Years
Attendance:
Full Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
September
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Duration:
4 Years
Attendance:
Full Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
January
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Duration:
4 Years
Attendance:
Full Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
May
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Duration:
6 Years
Attendance:
Part-Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
September
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Duration:
6 Years
Attendance:
Part-Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
January
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Duration:
6 Years
Attendance:
Part-Time
Delivery:
On Campus
NFQ Level:
10
Level:
Graduate Research
Award:
Doctor of Philosophy
Next Intake:
May
Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.
Other School Leaving Requirements:
See www.ucd.ie/admissions
Curricular information is subject to change.

Apply Now

About This Course

Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

Module Type Module   Trimester Credits
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM40290 Numerical Algorithms Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM40660 Scientific Programming Concepts (ICHEC) Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM40690 Applied Complex Variables Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 MATH40690 Stochastic Calculus Autumn  10
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40250 Survival Models Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40400 Monte Carlo Inference Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40680 Stochastic Models Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40700 Time Series Analysis - Act App Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40730 Data Programming with R (Online) Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40800 Data Prog with Python (online) Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40820 Monte Carlo (online) Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40860 Time Series (online) Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT41070 Bayesian Data Analysis Autumn  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 SCI50030 Academic Writing for Science for Postgraduate students Autumn and Spring (separate)  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 SCI50010 Online Research Skills Autumn&Spring&Summer(separate)  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 SCI50020 Research Integrity Online Autumn&Spring&Summer(separate)  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM40640 High Performance Computing (ICHEC) Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM40990 Optimisation in ML Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 ACM41000 Uncertainty Quantification Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 MATH40480 Probability Theory Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 MATH40830 Maths of Quantum Computation Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40150 Multivariate Analysis Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40750 Statistical Machine Learning (online) Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40850 Bayesian Analysis (online) Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT41010 Stat Network Analysis Spring  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40740 Multivariate Analysis (Online) Spring and Summer (separate)  5
Stage 1 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
 STAT40810 Stochastic Models (online) Summer  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40290 Numerical Algorithms Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40660 Scientific Programming Concepts (ICHEC) Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40690 Applied Complex Variables Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
MATH40690 Stochastic Calculus Autumn  10
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40250 Survival Models Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40400 Monte Carlo Inference Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40680 Stochastic Models Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40700 Time Series Analysis - Act App Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40730 Data Programming with R (Online) Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40800 Data Prog with Python (online) Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40820 Monte Carlo (online) Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40860 Time Series (online) Autumn  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SCI50030 Academic Writing for Science for Postgraduate students Autumn and Spring (separate)  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SCI50010 Online Research Skills Autumn&Spring&Summer(separate)  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SCI50020 Research Integrity Online Autumn&Spring&Summer(separate)  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40640 High Performance Computing (ICHEC) Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40990 Optimisation in ML Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM41000 Uncertainty Quantification Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
MATH40480 Probability Theory Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40150 Multivariate Analysis Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40750 Statistical Machine Learning (online) Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40850 Bayesian Analysis (online) Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT41010 Stat Network Analysis Spring  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40740 Multivariate Analysis (Online) Spring and Summer (separate)  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40810 Stochastic Models (online) Summer  5
Stage 2 Options - A) Min 0 of:
PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. Please, ensure that you have discussed your choice with your supervisor. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40830 Adv Data Prog with R (online) Summer  5

PhD Mathematics & Statistics (T119) Full Time
EU          fee per year - € 8020
EU          fee per year - € 8020
EU          fee per year - € 8020
nonEU    fee per year - € 15440
nonEU    fee per year - € 15440
nonEU    fee per year - € 15440

PhD Mathematics & Statistics (T120) Part Time
EU          fee per year - € 5360
EU          fee per year - € 5360
EU          fee per year - € 5360
nonEU    fee per year - € 10300
nonEU    fee per year - € 10300
nonEU    fee per year - € 10300

***Fees are subject to change

Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EU) applicants: No

Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No


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