Overview
See information on Timetable Groups and Subject Combinations on the BA (Hons) - CK101 page.
Status: Active
National Framework Of Qualifications (NFQ) Level: 8
NFQ Award Class: Major Award
Duration Full Time: 3 Academic Year(s)
Total Credits: NA
Delivery Method: In-Person
Connected Curriculum: - Employability
- Inter-and Transdisciplinary
- Research Based Teaching
Graduate Attributes: - Creator, evaluator and communicator of knowledge
- Digitally Fluent
- Independent and creative thinker
Work-Integrated Learning (Including Placement): No
Programme Requirements
For information about modules, module choice, options and credit weightings, please go to Programme Requirements.
Programme Requirements
Note: Students who wish to pursue a teaching career are advised to consult the Mathematical Studies Degree coordinator to discuss the requirements of the Teaching Council of Ireland.
Module List
| Code |
Title |
Credits |
| |
| MS1002 | Calculus | 5 |
| MS1003 | Linear Algebra | 5 |
| MS1004 | Introduction to Statistics | 5 |
| |
| MS2015 | Multivariable Calculus with Financial Applications | 5 |
| MS2005 | Discrete Mathematics | 5 |
| MS2013 | Geometry | 5 |
| 15 |
| Introduction to Mathematical Modelling (5) | |
| Mechanics I (5) | |
| Quantitative Research and Survey Sampling Methods (5) | |
| Business Data Analytics (5) | |
| |
| MS2013 | Geometry | 5 |
| MS2015 | Multivariable Calculus with Financial Applications | 5 |
| 10 |
| Introduction to Mathematical Modelling (5) | |
| Discrete Mathematics (5) | |
| Mechanics I (5) | |
| Quantitative Research and Survey Sampling Methods (5) | |
| Business Data Analytics (5) | |
| |
| MS3015 | Ordinary Differential Equations and Dynamical Systems | 5 |
| 25 |
| Discrete Time Financial Models (5) | |
| Introduction to Abstract Algebra (5) | |
| Introduction to Analysis and Metric Spaces (5) | |
| Vector Spaces and Linear Algebra (5) | |
| Linear Predictive Modelling (5) | |
| Computational Data Analytics (5) | |
| Operations Research (5) | |
| Stochastic Decision Science (5) | |
| Geometry and Applications (5) | |
| |
| MS3015 | Ordinary Differential Equations and Dynamical Systems | 5 |
| 15 |
| Discrete Time Financial Models (5) | |
| Introduction to Abstract Algebra (5) | |
| Introduction to Analysis and Metric Spaces (5) | |
| Vector Spaces and Linear Algebra (5) | |
| Linear Predictive Modelling (5) | |
| Computational Data Analytics (5) | |
| Operations Research (5) | |
| Stochastic Decision Science (5) | |
| Geometry and Applications (5) | |
| |
| MS3015 | Ordinary Differential Equations and Dynamical Systems | 5 |
| MS3024 | Geometry and Applications | 5 |
| 10 |
| Discrete Time Financial Models (5) | |
| Introduction to Abstract Algebra (5) | |
| Introduction to Analysis and Metric Spaces (5) | |
| Vector Spaces and Linear Algebra (5) | |
| Linear Predictive Modelling (5) | |
| Computational Data Analytics (5) | |
| Operations Research (5) | |
| Stochastic Decision Science (5) | |
Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards Book and for each module in the Book of Modules.
