Bachelor of Science in Mathematics and Modelling Processes

Description of the Programme

Mathematical modeling is the art of translating problems from real-life phenomena into tractable mathematical formulations whose theoretical and numerical analysis provides insights, answers, and guidance useful for any particular phenomenon. BSc. in Mathematics and Modeling Processes aims to enable students to understand the theoretical aspects of fundamental mathematics in conjunction with practical methods of Applied Mathematics, construct practical mathematical models for several processes (physical, biological, social and business) in the real world, identify and classify the uses and limitations of such models and develop associated software and computational skills, assume careers as mathematicians in business and industry.

This course is designed to provide a strong background in analysis and develop high technical abilities in mathematics applications to real-world problems. Throughout the programme, there will be an emphasis on laboratory-based work and problem-based learning via mathematical modelling, computer programming and case studies. This programme will equip students for careers in teaching, industry, financial services, information technology, management and consultancy, government, and industrial research and development.

What are the applications of Mathematical modeling?

Mathematical modeling is particularly useful in the natural sciences and engineering disciplines, social sciences and arts. Some of the applications are listed below:

Information technology: Optimal routing, Communication networks etc.

Artificial intelligence: Image interpretation, Robotics, Computer visions etc.

Arts: Computer animations, Sports etc.

Finance: Value estimation of options, Risk analysis etc.

Biology: Protein folding, Population dynamics, Spread of infectious diseases, Ecological competitions etc.

Chemistry: Molecular modeling, Electronic structure calculations etc.

Engineering: Structural optimization, Crash simulation, Stability of structures, Stability of electric circuits, Power supply network optimization, Turbulence, Wind channel, Product process design etc.

Geosciences: Map production, Earthquake prediction etc.

Neural science: Neural networks, Signal transmission in nerves etc.

Transport science: Traffic flow problems, Transportation planning, Air traffic scheduling, Automatic pilot for cars and airplanes etc.

Medicine: Blood circulation models, Physiological systems and processes, Radiation therapy planning etc.

Minimum Entry Requirements