Management Science and Information Systems Studies
Source: https://teaching.scss.tcd.ie/msiss-year-3/ Parent: https://teaching.scss.tcd.ie/module/stu22005-applied-probability-ii/
Year 3
The third year (Junior Sophister year) of the MSISS programme is designed to broaden and develop the basic technical skills learned in the first two years. In this year, the pieces of the first two years will start to come together as you use them in combination in a number of modules.
Open Modules and Trinity Elective Modules
You will be able to choose 10 credits in Open Modules (in Economics, Business or Computer Science), listed below, and 10 credits in Trinity Elective module. You will be asked to choose your preferred modules at the end of your second year.
Full Year Module (Compulsory)
Students take the following compulsory modules from the School of Computer Science and Statistics:
(Semester 1 & 2, 10 ECTS) This is a problem based learning module. It requires students to apply what they have learned in other modules in MSISS in a simulated real life problem.
Note: Students out on Erasmus in semester 2 will take STU3308A Management Science Case Studies A (Semester 1, 5 credits). Students out on Erasmus in semester 1 will take STU34504 Stochastic Models in Space and Time II (Semester 2, 5 credits) or STU34506 Modern Statistical Methods II (Semester 2, 5 credits).
Semester One Modules
(Compulsory)
Students take the following compulsory modules from the School of Computer Science and Statistics:
(Semester 1, 5 ECTS) This module aims to provide an opportunity for students to develop their hands on\ skills in data analysis.
(Semester 1, 5 ECTS) Classical multivariate techniques of principal component analysis, clustering, discriminant analysis, k-nearest neighbours, and logistic regression are investigated.
OPEN MODULES
And choose a 5 credit Open Module from the following list of semester one modules:
- BUU33531 Financial Accounting I (5 credits, Semester 1)
- BUU33620 Introduction to Fixed Income Securities and Alternative Investments (5 credits, Semester 1)
- BUU33750 Investments and Sustainability (5 credits, Semester 1)
- BUU33805 Financial Risk Management (5 credits Semester 1)
- CSU34016 Introduction to Functional Programming (5 credits, Semester 1)
- ECU33011 Economics Analysis A (5 credits, Semester 1)
- ECU33081 Mathematical Economics A (5 credits, Semester 1)
- ECU33091 Econometrics A (5 credits, Semester 1)
- ECU33051 Investment Analysis A (5 credits, Semester 1)
- ECU33143 introduction to Big Data in Economics (5 credits, Semester 1)
Trinity Elective Modules – List Released by College
Semester Two Modules
(Compulsory)
Students take the following compulsory modules from the School of Computer Science and Statistics:
(Semester 2, 5 ECTS) Information modelling and databases.
(Semester 2, 5 ECTS) The aim of the module is to introduce students to the crucial role that Information Systems play in all aspects of society and the workplace as these domains undergo trans-formative change.
(Semester 1, 5 ECTS) Introduction to Forecasting; ARIMA models, data transformations, seasonality, exponential smoothing and Holt Winters algorithms, performance measures. Use of transformations and differences.
(Semester 2, 5 ECTS) This module introduces the research process. Starting with the formulation of a\ research question, it covers completing a literature review, choosing an appropriate\ research design, data collection, data analysis and how to communicate research\ findings.
OPEN MODULES
And choose a 5 credit Open Module from the following list of semester two modules:
- BUU33532 Financial Accounting II (5 credits, Semester 2)
- BUU33760 Financial Markets and Institutions (5 credits, Semester 2)
- ECU33012 Economics Analysis B (5 credits, Semester 2)
- ECU33052 Investment Analysis B (5 credits, Semester 2)
- ECU33092 Econometrics B (5 credits, Semester 2)
Trinity Elective Modules – List Released by College