Study plan Bachelor's Degree in Computational Mathematics and Data Analytics

Study guides

Title of qualification awarded

Degree in Computational Mathematics and Data Analytics

Timetables

Mornings.

Table of credits for each course

	Basic training	Compulsory	Optional	Bachelor's Degree Final Project
1st year	60
2nd year		60
3rd year		60
4th year			48	12
Totals	60	120	48	12

Period of study

The academic year is divided into semesters.

Part-time or full-time

Full-time dedication; part-time option available.

Specialisations

Basic and compulsory training

1st year	2nd year
1st semester Linear Algebra One-Variable Calculus Introduction to Programming Foundations of Computers System Software 2nd semester Probability Multi-Variable Calculus Algorithmics and Combinatorics in Graphs. Heuristic Methods Object-Oriented Programming Numerical Calculus	1st semester 3D Visualisation Modelling and Inference Techniques of Algorithm Design Relational Databases Ordinary Differential Equations 2nd semester Optimisation Numerical and Probabilistic Methods Artificial Intelligence Complex Data Analysis Complex Fourier Analysis
3rd year	4th year
1st semester Equations in Partial Derivatives Physics, Abstraction and Computation Computational Learning High Performance Computation Information Theory 2nd semester Distributed Systems Networks Learning Quantum Information Non-Relational Databases Modelling and Simulation	Bachelor's Degree Final Project

Optional subjects

4th year

Financial Data Analysis Temporal Data Analysis Methods of Analysis in Health Sciences Bioinformatics Data Analysis in Astrophysics Data-Project Management Information and Security Topological Data Analysis Game Theory Internet of Things Natural Language Processing Computer Vision High Performance Simulation Computational Chemistry High-Performance Mathematics Libraries Work Placement Topics in Present-Day Science

All optional subjects are worth 6 credits, except for this one which is worth 12 credits.