As a e-revolution becomes more established, new tools
are required for handling the emerging challenges of
the information age. Information Mathematics refers to
the use of advanced mathematical tools and techniques
which provide the principle methods needed for facing
the new tasks.
Information Math is expected to take an increasingly
more significant role in future developments,
complementing advances in IT. In today's rapidly
changing information age, many employers in the most
dynamic and well-paid industries have massive demand
for graduates with a combination of strong
mathematical skills and IT knowledge.
The BSc in Information Mathematics provides a unique
combination of analytical and computational skills,
required for an in-depth understanding of new
technologies and prepares graduates for high-level
careers in the rapidly growing areas of Finance,
Computing, Telecommunications and Bioinformatics.
Subject Guide The course covers: Transition Mathematics; Vector
Algebra; Probability and Statistics; Introduction to
Analysis Calculus and Ordinary Differential Equations;
Abstract Algebra; IT Applications; Introduction to
Numerical Methods; Information Technology;
Introduction to Systematic Programming; Internet
Computing; Communication Skills; Linear Mathematics;
Vector Calculus; Real Analysis; Partial Differential
Equations; Mathematics Modeling; Statistical Pattern
Analysis; Simulations and Stochastic Processes;
Computer Graphics; Software Lifecycles; Object
Orientated Programming; Data Modeling and Database
Systems; Transferable Skills; Data Structures and
Algorithms; Complex Analysis; and Chaos and Dynamical
For Finance Stream, the course also covers:
Financial Mathematics; Time Series; Computational
Mathematics; Approximation Theory and Methods; Data
Mining; and E-Commerce.
For Computer Science Stream, the course covers:
Data Mining; E-Commerce; Coding and Cryptography;
Formal Software Development; Information Security;
Strategic Information Systems; Internet Programming
with Java; and Geographic Information Systems.
For Communications Stream, the course covers:
Information Theory and Coding and Traffic Theory;
Digital Transmissions; Internet Applications;
E-Commerce; Coding and Cryptography; and Signal
For Bioinformatics Stream, the course covers:
Data Mining; Time Series; Biological Modeling Cell and
Molecular Biology; Molecular Genetics and Virology.
Career Prospects Career prospects for this program are excellent. The
program has been specifically designed to meet the
huge demand of skilled information mathematics
graduates in the finance, computer science,
telecommunications and bioinformatics industries.
An external panel from industry has been closely
involved in advising on the content and structure of
the program. Graduates may be employed in the broad
range of positions for instance in research and
development teams as a part of large company in a
start-ups, as trainee analysts, consultants etc.
Graduates may also continue their training in the MSc
and Ph.D. programs run by the information engineering
subject group (such as the MSc by research in Pattern
Analysis and Neural Networks), or for teaching and