Programmes 2026/27

4Maths - Mathematics Pathway

Please note that these timetables do not necessarily show all of the module activities. Students should refer to the module Blackboard page or the lecturer for more detailed information on tutorials and practicals.

Provisional Timetable 2026/27, Semester 1.

Mon Tue Wed Thu Fri
09:00
MA385 Numerical Analysis I [AC201]
Dr Niall Madden
MP345 Mathematical Methods I [Larmor]
Dr Valentina Balbi
ST413 Statistical Modelling [CSB-1009 (formerly IT204)]
Dr Davood Roshansangachin
MA490 Measure Theory [AC201]
Dr Nina Snigireva
MP305 Modelling I [AMB-1023 O'Tnuathail Theatre]
Dr Stephan Rudykh
10:00
ST313 Applied Regression Models [AC202]
Dr Haixuan Yang
MP403 Cosmology and General Relativity [CA101]
Dr Giuseppe Zurlo
CS4102 Geometric Foundations in Data Analysis I [ADB-1020]
Dr Joshua Maglione
ST311 Applied Statistics I [ADB-G021A]
Dr Emma Holian
CS3304 Logic [ADB-1020]
Dr Tobias Rossmann
CS3304 Logic [AMB-G005]
Dr Tobias Rossmann
11:00
MA416 Rings [ADB-1020]
Dr James Cruickshank
ST313 Applied Regression Models [AC201]
Dr Haixuan Yang
MP403 Cosmology and General Relativity [McMunn]
Dr Giuseppe Zurlo
MA490 Measure Theory [AMB-1023 O'Tnuathail]
Dr Nina Snigireva
12:00
ST311 Applied Statistics I [ADB-G021A]
Dr Emma Holian
ST417 Introduction to Bayesian Modelling [ADB-1020]
Dr John Ferguson
13:00
ST413 Statistical Modelling [Larmor]
Dr Davood Roshansangachin
MP403 Cosmology and General Relativity [AC214 Tutorial]
Prof. Michael Tuite
14:00
MP345 Mathematical Methods I [AC201]
Dr Valentina Balbi
MA4102 Algebraic Foundations of Quantum Computing [ADB-1020]
Dr Mark Howard
15:00
CS4102 Geometric Foundations in Data Analysis I [ADB-1020]
Dr Joshua Maglione
MA385 Numerical Analysis I [AC201]
Dr Niall Madden
16:00
MA4102 Algebraic Foundations of Quantum Computing [TB307]
Dr Mark Howard
MA416 Rings [ADB1020]
Dr James Cruickshank
17:00
MP305 Modelling I [Larmor]
Dr Stephan Rudykh
ST417 Introduction to Bayesian Modelling [ADB-G021A (Practical)]
Dr John Ferguson
18:00
19:00
20:00

Provisional Timetable 2026/27, Semester 2.

Mon Tue Wed Thu Fri
09:00
MA4344 Advanced Group Theory [ADB-1020]
Prof. Götz Pfeiffer
MA418 Differential Equations with Financial Derivatives [CSB-1005]
N.N.
MA482 Functional Analysis [ADB-1020]
Prof. Dónal O'Regan
MP346 Mathematical Methods II [AMB-1023 Ó Tnuathail]
Dr Bharat Tripathi
CS4423 Networks [MY129]
Dr Tobias Rossmann
ST4120 Causal Inference [ADB-G021 (Tutorial)]
N.N.
10:00
MA495 Actuarial Mathematics: Life Contingencies II [TBC]
Dr Nina Snigireva
CS4103 Geometric Foundations in Data Analysis II [CSB-1003]
Dr Mark Howard
MA495 Actuarial Mathematics: Life Contingencies II [AC203]
Dr Nina Snigireva
ST312 Applied Statistics II [AC213]
Dr Haixuan Yang
11:00
MA495 Actuarial Mathematics: Life Contingencies II [TBC]
Dr Nina Snigireva
ST4140 Modern Statistical Methods [AMB-G008]
Dr Andrew Simpkin
MA418 Differential Equations with Financial Derivatives [CSB-1005]
N.N.
MP491 Nonlinear Systems [CSB-G005]
Dr Bharat Tripathi
CS319 Scientific Computing [ADB-G021A]
Prof. Götz Pfeiffer
12:00
MA482 Functional Analysis [ADB-1020]
Prof. Dónal O'Regan
13:00
CS402 Cryptography [Dillon]
Dr Angela Carnevale
CS402 Cryptography [AC202]
Dr Angela Carnevale
14:00
MP346 Mathematical Methods II [MRA201]
Dr Bharat Tripathi
MP491 Nonlinear Systems [AMB-1023 Ó Tnuathail]
Dr Bharat Tripathi
ST4140 Modern Statistical Methods [HBB-G001]
Dr Andrew Simpkin
CS4423 Networks [CSB-1006]
Dr Tobias Rossmann
15:00
MP307 Modelling II [Darcy Thompson]
Dr Michael Mc Gettrick
CS4103 Geometric Foundations in Data Analysis II [CSB-1005 (formerly IT125)]
Dr Mark Howard
ST4120 Causal Inference [McMunn LT]
Dr Nicola Fitz-Simon
MA4344 Advanced Group Theory [AC204]
Prof. Götz Pfeiffer
16:00
ST312 Applied Statistics II [AC213]
Dr Haixuan Yang
CS319 Scientific Computing [ADB-G021A]
Prof. Götz Pfeiffer
ST4120 Causal Inference [AC215]
Dr Nicola Fitz-Simon
17:00
MP307 Modelling II [CSB-1005]
Dr Michael Mc Gettrick
18:00
19:00
20:00

ST311: Students can access a tutor for online Q&A at any one (or more) of the two optional listed times as needed.