Understanding complex phenomena in real world problems requires knowledge and skills at an advanced level. Modelling the complex dynamical system and dealing with unpredictable processes must be based on the combination of pure and applied mathematics. To certain extent, some problems may need solution with the aid of Machine Learning in parallel with industrial revolution nowadays. This programme has been designed to equip you with the knowledge and skills that you really need for your career. Our experts are waiting to serve you!
This programme is offered for students to achieve the following objectives:
PEO1 : Knowledgeable and have a deep understanding in mathematics and eager to explore new and challenging field of knowledge.
PEO2 : Proficient in using computer technology to solve problems critically and innovatively.
PEO3 : Able to lead with trust and full of ethics and able to work with team members professionally.
PEO4 : Ability to organize ideas, information, and data on a regular basis and be able to deliver it effectively through the effective use of technology.
PEO5 : Ability to identify opportunities and the ability to develop a business plan based on knowledge in the field of mathematics.
This course discusses nonlinear ordinary differential equations from an analytical point of view and involves significant use of a number of concepts, including equilibrium points, orbits, phase portraits and limit cycles. Several methods such as linearization are discussed to determine existence and stability of equilibrium points and analyze nonlinear differential equations such as. An introduction to chaos theory is also presented. The techniques will be applied to nonlinear differential equations from physics, engineering, biology, ecology.
The numerical method is an important tool to solve problems in various fields. In this course, students will be exposed to a number of numerical methods appropriately. They also will be guided to develop and to improve the numerical methods based on the given problems. This course is embedded with programming element thus the developed solution can be implemented by using a computer. Throughout this course, the students are expected to perform numerical computation in a few projects in order to get real experience in solving mathematical modeling.
In this course, students are applied with knowledge of the process that need to be taken for mathematical modeling of the various considered issues. In addition, students are exposure to methodology and mathematical skills in modeling. The topics include the problems in industrial and physical sciences especially in the field of maritime and maritime decision-making. The discussion of the modeling approach based on analitical or numerical solutions and the suitability of the model from research papers will be highlighted. Also, Students will use their knowledge and skills to simulate or visualize the results. The detailed syllabus could be changed from year to year with the different talk of research from lecturers and visitors (if applicable).
Machine learning is concerned with the question on how to make computers learn from experience. The ability to learn is not only central to most aspects of intelligent behaviour, but machine learning techniques have become key components of many software systems. This course covers both well-established and advanced machine learning techniques such as Neural Network, Support Vector Machines etc.
This course discusses the general methods used in conducting research. The style and method of writing a research proposal paper is also discussed. In addition, issues related to the attitude and value of professionalism as researchers and ethics in writing and publishing are also being highlighted in this course.
This course aims to provide a space for students to demonstrate social skills, teamwork and responsibility in organizing postgraduate colloqium ethically, morally and professionally. In addition, effective oral communication is also emphasized through the individual presentation of the organized colloquium.
This course enables students to expand their Mathematical knowledge, understading and skills that are required to solve a problem in related field using scientific methodology. These include planning, implementation and presenting significant research project outcomes.
General Entry Requirements:
OR
OR
* Candidate must furnish the APEL Certificate from MQA before the admission process
General Entry Requirements
English Language Requirements
Local | International | Additional Costs |
RM11,020.00 | USD4530 | Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at UMT. |
Government funding
You may be eligible for government finance to help pay for the costs of studying. See the Government’s student finance website
Scholarships are available for excellence in academic and co-curricular activities, and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.
Email : fnoor_hh@umt.edu.my
Phone: +609-668 3341 (office)
+6019-915 3910 (mobile)
Programme Information:
Visit following websites: http://postgrad.umt.edu.my
Apply online at : http://gsea.umt.edu.my