Statistics plays a major role in most of real life situation. From understanding the characteristics of the systems to the forecasting of the complex phonemena, the integration of statistics into the modelling part of the system is really demanded. The aim of this programme is to foster an advanced statistics knowledge not only in marine science and oceanography, but also in other fields. You will discover the decision making of the complex problems using advanced statistics with the aid of computer programming.
PEO1 : Knowledgeable and have a deep understanding of statistics in marine science and eager to explore new and challenging field of knowledge.
PEO2 : Proficient in using computer technology to solve statistical problems in marine science critically and innovatively.
PEO3 : Able to lead with trust and full ethical 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 statistics in marine science.
This course was chosen to expose students to investigation-based interactions on how to handle and interpret oceanographic data which includes physical oceanography, biological oceanography and chemical oceanography. This mastery of knowledge is very important in order to present the results of a comprehensive and efficient analysis
This course discusses the introductory of time series, forecasting using Box-Jenkins, forecasting using exponential smoothing and forecasting using ARCH dan GARCH models. Forecasting using neural networks end this course.
This course allows students to gain knowledge of linear and nonlinear models for marine data with appropriate approaches.
This course discusses the exploratory data analysis (EDA) used in the field of marine. Topics such as assumptions of EDA and techniques of EDA are discussed. Methods and conditions that are appropriate are also discussed. This course also discusses the categorical data analysis used in the field of marine. Topics such as contingency table, generalized linear model and model for multinomial responses are discussed. Methods and conditions that are appropriate are also discussed.
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
OR
* Candidate must furnish the APEL Certificate from MQA before the admission process
* Candidate must furnish the APEL Certificate from MQA before the admission process
General Entry Requirements
English Language Requirements
Local | International | Additional Costs |
RM 11,020.00 | USD 4,530 | 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