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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Master of Science in Applied Mathematics

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time, Part-time
Duration 1 year
Intakes January, March, May, July, September
Tuition (Local students) RM 47,940
Tuition (Foreign students) RM 49,920

About

Sunway University’s Master of Science in Applied Mathematics is an interdisciplinary field that focuses on the application of mathematics, statistics, and computational methods to intelligently model and describe the behaviour of real world’s complex systems. These skills are useful in various industries such as: 

  • manufacturing
  • agriculture
  • healthcare & medicine
  • advanced technology
  • logistics and supply chain
  • operations research
  • data science, risk management
  • natural sciences
  • biomedical sciences
  • engineering
  • finance
  • social sciences.

This taught master degree aims to equip students with the latest knowledge in optimization, optimal control, machine learning, mathematical modelling, simulation and mathematical and statistical techniques. All of these serve as important tools in solving sophisticated problems constantly faced by businesses, industries, companies and governments.

Modules in this programme include:

  • unconstrained and constrained optimization
  • optimal control
  • discrete and combinatorial optimization
  • network design and analysis
  • mathematical modelling
  • computational and numerical methods
  • statistics and applied probability
  • control and systems theory
  • operations research. 

By embracing new mathematical methods and techniques, students who complete this programme shall develop and gain a skillset which opens up abundant opportunities for a fulfilling and lucrative career as an applied mathematician in the many industries mentioned above.

Uniqueness of the Programme

Mathematics is an important language for invention, innovation and idea creation. Applied mathematicians play a crucial role in many on-going dedicated efforts by individuals, organisations, businesses, and governments in tackling issues that affect the livelihood of large portions of humanity, in mitigating potential future threats to planetary health, and in protecting our earth to ensure our species’ continued existence.

Sunway University’s MSc in Applied Mathematics programme equips its graduates with an innovative mindset to apply mathematical tools and knowledge to provide practical solutions to a wide spectrum of problems arising from the physical and medical sciences, engineering, technology, finance and investment, business, commerce and social sciences.

The School of Mathematical Sciences (SMS) has experienced Professors, Associate Professors, and Senior Lecturers to deliver all the modules, and a supportive team to assist students in their study. This includes having a professor who is a World Top 2% Scientist, with a strong network with researchers from various parts of the world, particularly ASEAN and China. This professor has an excellent track record in optimization and optimal control, leading the team in the teaching and delivery of the modules. As a result, graduates from our MSc in Applied Mathematics will have a competitive advantage over those completing similar programmes from many other universities. SMS has a variety of activities such as seminars, research talk series, trainings and more to equip students with soft skills and up-to-date information.

 

Admissions

Intakes

Fees

Tuition

RM 47,940
Local students
RM 49,920
Foreign students

Estimated cost as reported by the Institution.

Application

RM 150
Local students
RM 700
Foreign students

Student Visa

RM 2,400
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

Bachelor’s Degree

  1. A bachelor’s degree in the field or related fields in mathematics, applied mathematics, engineering, computing, or actuarial science with a minimum CGPA of 2.50 out of 4.00 or equivalent, as accepted by the HEP Senate; or
  2. A bachelor’s degree in the field or related fields in mathematics, applied mathematics, engineering, computing, or actuarial science with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50, can be accepted subject to rigorous internal assessment.
  3. Candidates without a qualification in the related fields or working experience in the relevant fields must undergo appropriate prerequisite courses as determined by the institution and meet the minimum CGPA based on (I) and (ii).
  4. An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning) (Click on this link for further information on APEL.A)
  5. Any other qualifications will be considered on a case-to-case basis

English Language Requirements

(For International Applicants)

  • IELTS 6.0

Curriculum

Year 1 Modules

  • Research Methodology
  • Scientific Programming
  • Machine Learning
  • Predictive Models and Clustering Algorithms
  • Graphs and Networks
  • Optimization Techniques
  • Research Project 1
  • Research Project 2

Elective Subjects - Choose 2

  • Applied Combinatorics
  • Applied and Computational Dynamical Systems
  • Control Theory
  • Mathematical Modelling in Production Systems
  • Numerical Analysis with Applications
  • Optimal Control

Areas of Research

  • Big Data Analytics
  • Mathematical Modelling
  • Combinatorics
  • Computational Fluid Dynamics
  • Graph Theory
  • Multivariate Analysis
  • Neural Networks
  • Numerical Optimization
  • Optimal Control Computation
  • Optimal Control
  • Optimization
  • Simulation
  • Statistical Modelling
  • Statistical Quality Control
  • Time Series Modelling

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