Applied Mathematical Sciences (AMS)

School of Innovative Technologies and Engineering (SITE)

Head of Department
Assoc Prof (Dr) Mohammad Sameer SUNHALOO

Email:

Departments

Applied Mathematical Sciences

The Department of Applied Mathematical Sciences holds the significant task of imparting knowledge and providing training within the fields of mathematics and statistics. These disciplines are undeniable components of the fundamentals of our modern and technology-driven society.  The department delivers its competencies through a wide range of undergraduate and postgraduate programmes.  The department is also responsible to cater for the numerous mathematics modules arising in the programmes offered by the other departments of the different schools of the university.

The Department of Applied Mathematical Sciences offers various undergraduate programmes in both full time and part-time modes.  Our BSc (Hons) Business Statistics programme has been designed to equip students with both theoretical and practical statistical skills for the industry.  Business statistics is concerned with the use of several analysis strategies and decision rules to provide industrial managers with critical views of the operational and performance characteristics of the business.  The BSc (Hons) Data Science with Interactive Marketing programme offers deep-rooted mathematical/statistical and analytical/computational skills to students, in view of empowering them with the necessary competencies required for volumetric data analysis in the context of digital marketing.  The BSc (Hons) Financial Engineering programme provides students with the necessary abilities to solve the ever-complicated financial instruments and financial strategies approaches, as well as bridging the gap between highly advanced theoretical financial mathematics and current practice.  The BSc (Hons) Mathematics programme lays focus on the attributes of pure and applied mathematics. The modules in the BSc (Hons) Mathematics programme have been designed with a blend of mathematical, statistical and computer modelling to imbibe the students undertaking the programme of study with the appropriate skills to deal with the multidisciplinary involvement of mathematics.  Moreover, our undergraduate students are required to undergo a work placement at the second level of the different programmes of study.  It is to be noted that the BSc (Hons) Actuarial Science programme was first offered in Mauritius by the Department of Applied Mathematical Sciences and we also offered the BSc (Hons) Land Surveying (Top-Up) programme.

The MSc in Applied Statistics with Operational Research, the MSc in Computational Science and Engineering, and the MSc in Financial Engineering are currently being offered by the department.  Our master’s degrees are intensive three-semester courses and are offered in part-time mode.   The master’s degrees also serve as an excellent basis for students wishing to pursue studies for an MPhil/PhD degree.

On the research front, the academics within the department are involved in diverse projects in the fields of applied statistics, computational mathematics, data envelopment analysis, financial modelling, forecasting and simulation, amongst others. 

Undergraduate Programmes

Free
All Levels

BSc (Hons) Mathematics

Programme Information The BSc (Hons) Mathematics programme lays focus on …

Free

BSc (Hons) Mathematics

29 Lessons
150 hours
All Levels
What you'll learn
A mastery of the principal skills required for work in mathematics.
Achieved a broad understanding and knowledge, and have an interest in and appreciation of mathematics.
Become conversant with information technology, communication and scientific presentation.
Acquire problem-solving attributes.
Skilled in the application of mathematics in a variety of fields, including science, engineering and business.
Free
All Levels

BSc (Hons) Financial Engineering

Program Information Financial engineering is a multidisciplinary field, based on …

Free

BSc (Hons) Financial Engineering

29 Lessons
3 hours
All Levels
What you'll learn
Ability to understand, the awareness of broader concepts of quantitative finance and computational finance.
Being able to efficiently apply computational techniques for solving various financial problems and create financial securities, amongst others.
Free
All Levels

BSc (Hons) Business Statistics

Businesses are being driven forward by data analytics. Business analytics …

Free

BSc (Hons) Business Statistics

29 Lessons
3 hours
All Levels
What you'll learn
Acquire adequate statistical skills for data analysis and interpretation.
Gain a broad insight in statistical decision making for industrial problems.
Demonstrate an understanding of statistical packages required for computational statistics.
Show an ability to conduct surveys.
Develop a sense of critical statistical reasoning.
Build the necessary confidence in working independently.

Postgraduate Programmes

Free
All Levels

MSc Computational Science and Engineering

Computational Science and Engineering is a broad multidisciplinary area which …

Free

MSc Computational Science and Engineering

13 Lessons
3 hours
All Levels
What you'll learn
Demonstrate a sound understanding of computational methods for solving scientific and engineering problems.
Be able to numerically simulate real world environments, and to understand the mathematics behind.
Possess problem solving techniques strongly transferable for immediate use within industry.
Be familiar with a variety of computerised and scientific tools for collecting and analysing data.
Free
All Levels

MSc Financial Engineering

TThe financial sector is a dynamic industry involving much uncertainty …

Free

MSc Financial Engineering

13 Lessons
3 hours
All Levels
What you'll learn
Considerable knowledge of the main numerical techniques used in quantitative finance.
An understanding of modern econometric techniques used in the analysis of financial time series.
An understanding of risk management tools and derivatives pricing and hedging methodologies, used in the financial sector.
An understanding of the principal stochastic differential equations that are used in derivative modelling and other areas of quantitative finance.
Knowledge to apply optimization models, methods and software to solve problems in computational finance efficiently and accurately.
Knowledge of computer packages for financial applications.
Free
All Levels

MSc Applied Statistics with Operational Research

In this data deluge era, decision making and planning processes …

Free

MSc Applied Statistics with Operational Research

12 Lessons
3 hours
All Levels
What you'll learn
Be able to manipulate, analyse and interpret real-world data.
Demonstrate a sound understanding on the advanced techniques employed to analyse complex organisational problems and help make better decisions.
Possess problem solving techniques strongly transferable for immediate use within industry.
Be able to deliver their competencies in the statistical models, relevant to the industry and hence become confident statistical analysts.
Be fluent with the main computational techniques used in applied statistics and operational research.

Short Courses