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BA Management Science and Information Systems Studies (MSISS)Course Structure

MSISS is a four year honors degree programme. In MSISS the subject skills are built up in layers. Each major subject area is presented in each year at an increasingly advanced level, with each year from second year onwards being linked into the material covered in the preceding year.

Years 1 and 2

The first two years (called Junior Fresh and Senior Fresh in Trinity) are devoted to laying down the foundations for the senior years.  You will study topics in statistics, management science, business studies, economics, mathematics, computer science and end user computing.

Years 3 and 4

In the third and fourth years you will begin to encounter topics at a more advanced level and also have the opportunity to choose between certain options and to specialise in certain areas.

The third year (Junior Sophister) of the MSISS course 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.

The fourth year (Senior Sophister) of the MSISS course is centered around the project which forms a considerable part of the work for the year. These projects are carried out for real world clients.

First Year

  • Management Science
  • Economics
  • Organisation and Management
  • Mathematics
  • Statistical Analysis
  • Computer Science
  • Software Applications

Second Year

  • Management Science
  • Applied Probability
  • Accounting and Financial Analysis
  • Mathematics
  • Quantitative Analysis
  • Computer Science
  • Software Applications

Third Year

  • Management Science Case Studies
  • Information Systems
  • Multivariate Analysis and Forecasting
  • Software Engineering
  • Statistical Analysis
  • Research Methods
  • Software Applications
  • Elective: options in statistics, business, finance and economics

Fourth Year

  • Management Science in Practice
  • Strategic Information Systems
  • Data Analytics
  • Final Year Project
  • Elective: options in statistics, computer science, business, finance and economics