Modules

Year 1

CORE:

  • CS1106 Introduction to Relational Databases (5 credits) – Dr Kieran Herley, Semester 1
  • CS1112 Foundations of Computer Science I (5 credits) – Prof Barry O'Sullivan, Semester 1
  • CS1113 Foundations of Computer Science II (5 credits) – Prof Barry O'Sullivan, Semester 2
  • CS1117 Introduction to Programming (15 credits) – Dr Jason Quinlan, Semesters 1 & 2
  • AM1054 Mathematical Software (5 credits) – Dr Andreas Amann, Semester 1
  • MA1058 Introduction to Linear Algebra (5 credits) – Dr Andrei Mustata, Semester 1
  • MA1059 Calculus (5 credits) – Dr Martin Kilian, Semester 1
  • ST1050 Statistical Programming in R (5 credits) – Ms Fengyun Gu, Semester 1
  • ST1051 Introduction to Probability and Statistics (5 credits) – Dr Shirin Moghaddam, Semester 2

ELECTIVES:

AM1053 Introduction to Mathematical Modelling; ST1401 Introduction to Operations Research (5 credits each)

Year 2

CORE:

  • CS2208 Information Storage and Management I (5 credits) – Dr Alejandro Arbelaez, Semester 1
  • CS2209 Information Storage and Management II (5 credits) – Dr Alejandro Arbelaez, Semester 2
  • CS2513 Intermediate Programming (5 credits) – Dr Laura Climent, Semester 1
  • CS2514 Introduction to Java (5 credits) – Dr Marc van Dongen, Semester 2
  • CS2515 Algorithms and Data Structures I (5 credits) – Prof Ken Brown, Semester 1
  • CS2516 Algorithms and Data Structures II (5 credits) – Prof Ken Brown, Semester 2
  • MA2055 Linear Algebra (5 credits) – Dr Andrei Mustata, Semester 1
  • MA2071 Multivariable Calculus (5 credits) – Dr Eduardo Mota, Semester 1
  • ST2053 Introduction to Regression Analysis (5 credits) – Dr Michael Cronin, Semester 1
  • ST2054 Probability and Mathematical Statistics (10 credits) – Dr Liang Chen, Semesters 1 & 2

ELECTIVES:

AM2052 Mathematical Modelling; ST2402 Modelling and Systems for Decision Making (5 credits each)

Year 3

CORE:

  • CS3204 Cloud Infrastructure and Services (5 credits) – TBC
  • CS3205 Data Visualization for Analytics Applications (5 credits) – TBC
  • CS3220 Work Placement DSA (10 credits) – TBC
  • CS3306 Workplace Technology and Skills (10 credits) – Dr Marc van Dongen, Semester 2
  • CS3318 Advanced Programming with Java (5 credits) – Dr John O'Mullane, Semester 1
  • CS3509 Theory of Computation (5 credits) – Prof Michel Schellekens, Semester 1
  • ST3053 Stochastic Modelling I (5 credits) – Dr Kevin Hayes, Semester 1
  • ST3061 Statistical Theory of Estimation (5 credits) – Dr Supratik Roy, Semester 1
  • ST3069 Generalised Linear Models (5 credits) – Dr Michael Cronin
  • ST3070 Statistical Theory of Hypothesis Testing (5 credits) – Dr Supratik Roy

Work placement: 6 months (March to September) or 12 months (from March)

Year 4

CORE:

  • CS4701 Analytics Project for Computer Science (15 credits) or
  • ST4092 Data Analytics Project (15 credits)

and

  • CS4704 Algorithms and Data Structures for Analytics (5 credits) – TBC
  • CS4705 Computational Machine Learning (5 credits) – TBC
  • ST4060 Statistical Methods for Machine Learning I (5 credits) – Dr Eric Wolsztynski, Semester 1
  • ST4061 Statistical Methods for Machine Learning II (5 credits) – Dr Eric Wolsztynski, Semester 1
  • ST4069 Multivariate Methods for Data Analysis (10 credits) – TBC

School of Computer Science and Information Technology

Scoil na Ríomheolaíochta agus na Teicneolaíochta Faisnéise

School of Computer Science and Information Technology, Western Gateway Building, University College Cork, Western Road, Cork, Ireland

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