Maynooth University Department of Mathematics and Statistics
ToggleMathematics & Statistics Department
100 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| DS151 | Introduction to Data Science 1 | 1 | 7.5 | Keefe Murphy |
| DS152 | Introduction to Data Science 2 | 2 | 7.5 | Niamh Cahill |
| MT101SC- Group A | Differential Calculus | 1 | 5 | Ann O'Shea |
| MT101SC- Group B | Differential Calculus | 1 | 5 | Mark Walsh |
| MT102SC- Group A | Integral Calculus | 2 | 5 | Ian Banfield |
| MT102SC- Group B | Integral Calculus | 2 | 5 | Morgan Robson |
| MT105A | Introduction to Calculus (A) | 1 | 7.5 | Detta Dickinson |
| MT112A | Linear Algebra 1 (A) | 2 | 2.5 | Isaac Burke |
| MT113SC- Group A | Linear Algebra 1 (S) | 1 & 2 | 5 | Isaac Burke |
| MT113SC- Group B | Linear Algebra 1 (S) | 1 & 2 | 5 | Isaac Burke |
| ST122 | Introduction to Statistics (A) | 2 | 5 | Keefe Murphy |
200 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT201A | Calculus 3 (A) | 1 | 5 | Oliver Mason |
| MT201S | Calculus 3 (S) | 1 | 5 | Isaac Burke |
| MT202A | Calculus 4 (A) | 2 | 5 | Morgan Robson |
| MT202S | Calculus 4 (S) | 2 | 5 | Isaac Burke |
| MT204A | Introduction to Integral Calculus | 1 | 5 | Lars Pforte |
| MT212A | Linear Algebra 2 (A) | 2 | 5 | Oliver Mason |
| MT216C | Linear Algebra 2 | 2 | 5 | Isaac Burke |
| MT231P | Integration | 2 | 5 | Mehmet Yesil |
| MT232P | Analysis 1 (P) | 1 | 5 | Ann O'Shea |
| MT234P | Multivariate Calculus | 2 | 5 | Fiacre O'Cairbre |
| MT236S | Introduction to Analysis | 2 | 5 | Ricky Hutchins |
| MT241P | Finite Mathematics | 1 | 5 | Lars Pforte |
| MT242P | Abstract Algebra | 2 | 5 | Marco Vitturi |
| MT251P | Foundations of Euclidean Geometry | 1 | 5 | Fiacre O'Cairbre |
| ST201 | Data Analysis | 1 | 5 | Niamh Cahill |
| ST202 | Design and analysis of experiments | 2 | 5 | Katarina Domijan |
| ST203 | R for Data Science and Statistics | 1 | 5 | Gabriel Palma |
| ST204 | Nonparametric statistics | 2 | 5 | Keefe Murphy |
| ST221 | Introduction to Statistics (S) | 1 | 5 | Rafael de Andrade Moral |
300 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT301C | Ordinary Differential Equations | 2 | 5 | Detta Dickinson |
| MT303S | Introduction to Complex Analysis | 2 | 5 | Ricky Hutchins |
| MT311S | Elementary Number Theory | 1 | 5 | Detta Dickinson |
| MT312S | Cryptography | 2 | 5 | Mehmet Yesil |
| MT314S | Coding Theory | 1 | 5 | Fiacre O'Cairbre |
| MT316A | Groups | 1 | 5 | Fiacre O'Cairbre |
| MT322S | Operations Research | 1 | 5 | David Wraith |
| MT331P | Real Analysis 1 | 1 | 5 | Detta Dickinson |
| MT332P | Metric Spaces (Real Analysis 2) | 1 | 5 | Lars Pforte |
| MT333P | Complex Analysis 1 | 2 | 5 | Mark Walsh |
| MT341P | Rings and Fields 1 | 1 | 5 | Mark Walsh |
| MT342P | Groups 1 | 2 | 5 | Stefan Bechtluft-Sachs |
| MT344P | Rings and Fields 2 | 2 | 5 | Mehmet Yesil |
| MT351A | Euclidean and non-Euclidean Geometry | 1 | 5 | Stefan Bechtluft-Sachs |
| MT371A | Experimental and Computational Mathematics | 1 | 5 | Oliver Mason |
| MT381 | Financial Mathematics | 1 | 5 | Ann O'Shea |
| MT382A | History of Mathematics | 1 | 5 | Ciarán Mac an Bhaird |
| ST301 | Probability | 1 | 5 | Galatia Cleanthous |
| ST302 | Data Visualisation | 2 | 5 | Catherine Hurley |
| ST303 | Linear Models | 1 | 5 | Katarina Domijan |
| ST304 | Generalized Linear Models | 2 | 5 | Katarina Domijan |
| ST306 | Time Series | 2 | 5 | Rafael de Andrade Moral |
400 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT401S | Partial Differential Equations | 2 | 5 | Morgan Robson |
| MT412C | Graph Theory | 2 | 5 | Mark Walsh |
| MT432C | Analysis 1 (C) | 2 | 5 | Ricky Hutchins |
| MT433P | Complex Analysis 2 | 1 | 5 | Stefan Bechtluft-Sachs |
| MT434P | Point-set Topology | 2 | 5 | Ian Banfield |
| MT441P | Groups 2 | 1 | 5 | Sonia Balagopalan |
| MT442P | Galois Theory | 2 | 5 | Fiacre O'Cairbre |
| MT444P | Number Theory | 2 | 5 | Detta Dickinson |
| MT451P | Differential Geometry | 1 | 5 | Mark Walsh |
| MT471S | Introduction to Programming for Mathematicians | 1 | 5 | David Malone |
| MT472S | Numerical Analysis | 2 | 5 | David Malone |
| MT480E | Fractals and Real Dynamical Systems | 2 | 5 | Stephen Buckley |
| MT481S | Mathematical Biology | 2 | 5 | Oliver Mason |
| ST401 | Mixed Models | 1 | 5 | Katarina Domijan |
| ST402 | Statistical Inference | 2 | 5 | Galatia Cleanthous |
| ST403 | Advanced R Programming | 1 | 5 | Keefe Murphy |
| ST404 | Statistical Machine Learning | 2 | 5 | Catherine Hurley |
| ST405 | Bayesian Data Analysis | 1 | 5 | Niamh Cahill |
| DS406 | Topics in Data Analytics | 2 | 5 | Rafael de Andrade Moral |
500 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT531U | Functional Analysis | 1 | 10 | Galatia Cleanthous |
| MT532 | Topics in Analysis | 2 | 10 | Marco Vitturi |
| MT543 | Topics in Algebra | 1 | 10 | David Wraith |
| MT560 | Algebraic Topology | 2 | 10 | Stefan Bechtluft-Sachs |
600 Level Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT601 | Epidemiology and the modeling of human disease. | 1 | 5 | Stephen Buckley |
| MT606 | MSc in Mathematics - Project and Dissertation | S | 30 | |
| DS663 | Statistical Methods for Data Science 1 | 1 | 5 | Catherine Hurley |
| DS665 | Statistical Methods for Data Science 2 | 1 | 5 | Rafael de Andrade Moral |
| ST606 | MSc in Data Science and Analytics - Project and Dissertation | S | 30 | |
| ST661 | R for Data Analytics | 1 | 5 | Catherine Hurley |
| ST662 = DS406 | Topics in Data Analytics | 2 | 5 | Rafael de Andrade Moral |
| ST633=ST303 | Linear Models | 1 | 5 | Katarina Domijan |
| ST634=ST304 | Generalised Linear Models | 2 | 5 | Katarina Domijan |
| ST644=ST404 | Statistical Machine Learning | 2 | 5 | Catherine Hurley |
| ST645=ST405 | Bayesian Data Analysis | 1 | 5 | Niamh Cahill |
800 Level Modules
Modules taken by Department postgraduates
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT801 | Teaching Skills in Mathematical Science | Year Long | 5 | |
| MT802 | Small Group Interactive Teaching Skills | Year Long | 5 | |
| MT803 | Technical Presentation Skills in Mathematical Science | Year Long | 5 | |
| MT804 | Oral Presentation Skills in Mathematical Science | Year Long | 5 | |
| MT805 | Career and Research Advancement Portfolio | Year Long | 5 | |
| MT811 | French for Mathematical Science | Year Long | 5 | |
| MT812 | German for Mathematical Science | Year Long | 5 | |
| MT820 | Seminar Series in Mathematics | Year Long | 5 | |
| MT850 | Summer School / Conference in Mathematical Science | Year Long | 5 | |
| MT860 | Presentation at a Summer School / Conference in Mathematical Science | Year Long | 5 |
Modules taken by postgraduates from outside the Department
| Module Code | Module Name | Semester | ECTS | Lecturer |
| DS863 = DS663 | Statistical Methods for Data Science 1 | 1 | 5 | |
| DS865 = DS665 | Statistical Methods for Data Science 2 | 1 | 5 | |
| MT810 | Topics in Real Analysis | 2 | 5 | |
| MT821 | Topics in Complex Analysis | 2 | 5 | |
| MT830 | Topics in Algebra | 1 | 5 | |
| MT840 = MT560 | Algebraic Topology | 2 | 5 | |
| MT871 = MT471S | Introduction to Programming | 1 | 5 | |
| ST811 = ST221 | Introduction to Statistics (R) | 1 | 5 | |
| ST812 = ST122 | Introduction to Statistics (R) | 2 | 5 | |
| ST821S = ST201 | Data Analysis (R) | 1 | 5 | |
| ST822S = ST202 | Design and Analysis of Experiments (R) | 2 | 5 | |
| ST823 = ST203 | R for Statistics and Data Science (R) | 1 | 5 | |
| ST824 = ST204 | Nonparametric Statistics (R) | 2 | 5 | |
| ST831 = ST301 | Probability (R) | 1 | 5 | |
| ST861S=ST661 | R for Data Analytics (R) | 1 | 5 | |
| ST832 = ST302 | Data Visualisation (R) | 2 | 5 | |
| ST833 = ST303 | Linear Models (R) | 1 | 5 | |
| ST834 = ST304 | Generalised Linear Models (R) | 2 | 5 | |
| ST836 = ST306 | Time Series (R) | 2 | 5 | |
| ST841 = ST401 | Mixed Models (R) | 2 | 5 | |
| ST842 = ST402 | Statistical Inference (R) | 2 | 5 | |
| ST843 = ST403 | Advanced R Programming (R) | 2 | 5 | |
| ST844 = ST404 | Statistical Machine Learning (R) | 2 | 5 | |
| ST845 = ST405 | Bayesian Data Analysis (R) | 1 | 5 |
Reading Modules
| Module Code | Module Name | Semester | ECTS | |
| MT397R | Reading Course | 1 | 5 | |
| MT398R | Reading Course | 2 | 5 | |
| MT490R | Research Project | 2 | 5 | |
| MT495R | Reading Course | 1 | 5 | |
| MT496R | Reading Course | 2 | 5 | |
| MT497R | Reading Course | 1 | 7.5 | |
| MT498R | Reading Course | 2 | 7.5 | |
| MT499R | Research Project | 2 | 10 | |
| MT499 | Research Project | 2 | 7.5 | |
| MT597 | Reading Course | 1 | 10 | |
| MT598 | Reading Course | 2 | 10 | |
| MT599 | Research Project | 1+2 | 10 | |
| MT606 | MSc in Mathematics - Project & Dissertation | Summer | 30 | |
| MT696 | Reading Course | 1+2 | 20 | |
| MT697 | Reading Course | 1+2 | 15 | |
| MT698 | Reading Course | 2 | 15 | |
| MT699 | Research Project | 1+2 | 15 | |
| ST606 | MSc in Data Science and Analytics - Project & Dissertation | Summer | 30 |
Certificate Modules
| Module Code | Module Name | Semester | ECTS | Lecturer |
| MT001 | Fundamental Mathematics 1 | 1 | 7.5 | Padhraic O'Hanrahan |
| MT002 | Fundamental Mathematics 2 | 2 | 7.5 | Padhraic O'Hanrahan |