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ST4001 Final Year Project

20 ECTS credits

The aims of the project are to integrate the theoretical and practical knowledge of the student across all of the years of their study and provide a practical demonstration of their capability in executing a challenging and large-scale project for a real world client.

Module Description ST4001 Blackboard

ST4003 Data Analytics

10 ECTS credits

The aim of the module is to introduce the students to a set of techniques including classification trees, neural networks and ensemble methods. Some techniques will be discussed in detail whilst a brief overview will be given for others.   Methods to evaluate models will also be discussed.

Module Description ST4003 Blackboard

ST4005 Decision Analysis

5 ECTS credits

This course will look into Multi-objective, Multi-Criteria decision making; Decision theory; Dynamic programming; Utility of money; Bargaining theory and game theory.

Module Description ST4005 Blackboard

ST4500/02 Strategic Information Systems

10/5 ECTS credits

The objective of this module is to present students with a broad overview of the business and social impacts of contemporary developments in information systems and technology and to enable students to think critically about business and societal impacts and implications of ICT today and going forward.  Specific topics addressed in this module will be drawn from a range of topics including, but not limited to: Enterprise resource planning systems; Customer relationship management systems; Knowledge management; IS management and governance; Outsourcing; IS evaluation; Strategic IS planning; IS project management; e-Government; e-Democracy; The information society; e-Business infrastructures; Mobile business and location awareness; Privacy and trust; Enterprise architectures; Service oriented architectures; Open systems; Emerging technologies; and Technology forecasting.

Note: ST4502 has to be taken by students who are taking a 15 ECTS elective such as BU4530 Financial Reporting and Analysis.

Module Description ST4500 Blackboard

Module Description ST4502 Blackboard


BU3571 Human Resource Management

10 ECTS credits

This module aims to:

  • describe the professional area of work that is concerned with managing employees and their work in organizations;
  • contextualize the practice of HRM in the Irish/EU employment law and industrial relations environment;
  • expand upon the practices of HRM ( recruitment, training , reward , evaluation) in organizations,
  • understand the importance of national, environmental and strategic context for the creation and implementation of HR strategy in organizations.

Module Description BU3571 Blackboard

BU3620 Introduction to Fixed-Income Securities and Alternative Investments

5 ECTS credits

This module is a module in financial management. It will cover: Bond pricing; Types of fixed interest instruments; Duration and convexity; Bond portfolio management; Derivatives Markets and Commodity Markets.

Module Description BU3620 Blackboard

BU3631 Corporate Finance and Equity Valuation

5 ECTS credits

Topics covered include: Historical evolution of finance; Bubbles, Crashes and Cycles in finance; Why there is no 'right' capital structure; Why pay dividends? and the market for corporate control.

Module Description BU3631 Blackboard

BU4530 Financial Reporting and Analysis

10 ECTS credits

The aim of this module is to develop students' understanding of external financial reporting (principally by publicly quoted companies).  The module is designed to follow the accounting principles module BU2520a and to develop students' understanding of external financial reporting (principally by publicly quoted companies).

Module Description BU4530 Blackboard

EC3010 Economic Analysis

10 ECTS credits

This module builds on the foundations of EC2010 Intermediate Economics, developing some of the topics from that module, and introducing some new ones. Module 1 covers Microeconomics: topics include general equilibrium and welfare; consumer's surplus, and extensions; risk and insurance; the portfolio problem; intertemporal choice; business financial decisions; Modigliani and Miller theorems on capital structure. Module 2 covers Macroeconomics: intertemporal consumption and labour supply; investment theory; money demand; the analysis of business cycles; monetary policy; fiscal policy.

Module Description EC3010 Blackboard

EC3050 Investment Analysis

10 ECTS credits

This module analyses, at both a practical and theoretical level, the process of investment in financial markets. Its aims are to introduce students to the various types of financial instruments in common use and to the economic theories that explain how they are priced. The types of securities considered include interest-bearing securities, equities and derivatives (options, futures, etc.). The focus for the first half of the module will be on fixed income securities and derivatives. As we will see, the principles to be discussed and the analytical tools to be presented have a much wider application in making decisions under conditions of uncertainty. Students are also required to complete a project involving the collection and analysis of financial data. The second half of the module explores how financial markets operate and how securities are bought and sold. The trade-off between higher average returns and more `risky' pay-offs is then discussed. The problem of determining an optimal investment strategy, given beliefs about the probability distribution of returns, is also addressed. Other issues considered include the informational efficiency of financial markets and systematic pricing failures, the role of behavioural biases, and the relative usefulness of fundamental analysis and technical analysis in predicting price movements. This module does not assume previous knowledge of financial economics and for the most part the level of mathematics and statistics does not extend beyond SF Maths and Stats. Students should note, however, that this is an analytical economics module that makes constant use of tools derived from mathematical and statistical concepts. Students interested in working in areas related to investment and finance are likely to find the course of value for their career.

Module Description EC3050 Blackboard

ST3453: Stochastic Modules in Space and Time I (not running in (2017/18)

5 ECTS credits

This module introduces fundamental concepts and ideas related to stochastic processes. Discrete-time finite state space Markov Chains are dealt with in detail including classification of states and stationary distributions. Following this, continuous time processes are discussed. Homogeneous and inhomogeneous Poisson processes are encountered as well as the Wiener process, Brownian motion with drift and volatility and geometric Brownian motion. To conclude, we will briefly discuss Markov processes defined on lattices motivated by applications in spatial statistics.

Module Description ST3453 Blackboard

ST3454: Stochastic Modules in Space and Time II (not running in (2017/18)

5 ECTS credits

This course introduces different statistical modelling used for analysing stochastic processes defined in the spatial and/or time domains. These have many applications (e.g. engineering, finance). Contents include Kalman Filter, State Space Models, Brownian motion, Orntein-Uhlenbeck Process, geostatistics (Kriging), functional data analysis.

Module Description ST3454 Blackboard Module Website

ST3455: Modern Statistical Methods I (not running in (2017/18)

5 ECTS credits

This module is set aside for lecturers to explore topics that are in their own interest. Currently, its syllabus consists of 2 main components: statistical reliability and extreme value theory. In reliability, topics covered include systems of components, reliability of systems, failure rate, lifetime distributions, inference, and censoring, including the Kaplan-Meier estimate. Within extreme value theory, topics include the modelling of extrema, the extreme value theorem, inference, extrema under non- random and random censoring.

Module Description ST3455 Blackboard

ST3456: Modern Statistical Methods II (not running in (2017/18)

5 ECTS credits

This module provides a general overview of simulation methods with particular focus on Monte Carlo methods based on Markov Chains. Theoretical justification of basic concepts will be provided together with examples where such methods are applied to problems arising with statistical practice. The goal of the module is to provide students with the ability to devise suitable simulation methods for generating random numbers from a given probability distribution, to use the sampled random numbers in order to estimate quantities of interest or evaluate integrals, to assess the quality of the generated sample via diagnostic tools.

Module Description ST3456 Blackboard


ST3451 Applied Linear Statistical Models I

5 ECTS credits

ST3451 is concerned with the use of linear statistical models for the analysis of data from a variety of sources. Such models include as special cases the classical linear models which underlie regression and analysis of variance. In these, the random variation is modelled by the familiar Normal distribution, the expected value of which is some linear function of the explanatory variables. But the framework is much wider, and also includes the Binomial and Poisson models random variation, as well as many others, and allows the expected value to be modelled as some function of a linear combination of the explanatory variables. A most important special case is logistic regression.


Module Description ST3451 Blackboard

ST3457 Statistical Inference I

5 ECTS credits

This module aims to provide a comprehensive description of the principles, methods and practical issues surrounding the principal methods of statistical inference.

Module contents include: Classical Inference, Hypothesis testing, Interval estimation, Likelihood, Quantifying Uncertainty, Some Laws of Probability, Probability Models and Prior Distributions, Statistical Inference, Simple Examples: Conjugate Priors, A More Complex Example, Point and Interval Estimates, Numerical Methods of Computing, Posterior Distributions, Basic Simulation Methods, Markov chain simulation, Prior Elicitation, Some Real Applications.

Module Description ST3457 Blackboard

ST3458 Statistical Inference II

5 ECTS credits

This course is a formal introduction to likelihood and other classical inference methods. Theory is built up from the foundations laid in previous courses, and a rigorous treatment of estimation, hypothesis tests and confidence intervals is given. There will be many results already familiar to the student, however, this course gives the first principles derivation of these results. As such it can be thought of as an in-depth treatment of some familiar topics.




MA3E1 Engineering Mathematics V

5 ECTS credits

Engineering Mathematics V is a one-semester module available to all JS Engineering streams and continues and extends the material from the previous mathematics modules in the first and second years - 1E1, 1E2, 2E1 and 2E2. The emphasis is primarily on the development of analytical techniques.  The module covers Fourier Methods, Partial Differential Equations and Optimisation.

Module Description MA3E1 Blackboard

ME4B06 Manufacturing Systems and Project Management

5 ECTS credits

This module provides a general introduction to operations management of manufacturing systems. It will explore strategies for operating and optimising the production of products in different varieties and volumes with limited resources and in competitive environments. The impacts of design decisions on manufacturing performance and the physical organisation of plants are explored through various DFM and plant layout strategies. Formal project management methods will be introduced reflecting the growing use of continuous improvement through project management.

Module Description ME4B06 Blackboard

CS4081 Technology Entrepreneurship (5 ECTS)

5 ECTS credits

This module introduces the fundamentals of technology entrepreneurship. It will cover the process technology entrepreneurs use to start companies. This involves taking a technology idea and finding a high-potential commercial opportunity, gathering resources such as talent and capital, figuring out how to sell and market the idea and managing rapid growth.

Module Description CS4081 Blackboard Module Website

CS4051 Human Factors

5 ECTS credits

Students will understand the main issues underlying the usability of systems, and the main techniques and processes for interface design and evaluation. They will also gain a basic understanding of the theories which account for human performance.  Specific topics addressed in this module include: Usability User capabilities; Interaction models; User interface design process; Task analysis; Evaluation; User Interface Architectures; Co-operative work and groupware; Cognitive modelling; Human error; Interaction in context/Knowledge in the world views.

Module Description CS4051 Blackboard