EasyUni logo

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

+60142521561

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

Speak to Study Advisor

Doctor of Philosophy in Mathematical Sciences

About

The Doctoral Degree in Mathematical Sciences offers candidates the opportunity to engage in high-quality, innovative research across a wide range of mathematical fields, highlighting the beauty of numbers and algorithms and their practical applications in decision-making and problem-solving.

The program aims to develop students' research skills in areas such as pure mathematics, applied mathematics, and applied statistics. Under the guidance of experienced supervisors, students will gain exposure to key research activities, including conducting comprehensive literature reviews, identifying areas for contribution, and disseminating their findings through journal publications and conference presentations. Graduates will be equipped with advanced mathematical, analytical, and statistical data analysis skills, preparing them to become experts and accomplished researchers in the field.

 

 

Key facts

Statistics
Qualification Doctoral Degree (PhD)
Study mode Full-time, Part-time
Duration 3 years
Intakes January, July
Tuition (Local students) S$ 15,073
Tuition (Foreign students) S$ 15,073

Subjects

  • Mathematics

Duration

3 years

Tuition fees

Description Local students Foreign students
Tuition fee S$ 15,073 S$ 15,073
Miscellaneous fees S$ 3,428 S$ 5,476
Total estimated cost of attendance S$ 18,502 S$ 20,550
Estimated cost per year S$ 6,167 S$ 6,850

Miscellanous fees explained

Local students

Description Amount
Enrolment Fee S$ 212
Deposit (refundable) S$ 212-S$ 303

Foreign students

Description Amount
Enrolment Fee S$ 212
Deposit (refundable) S$ 212-S$ 303

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

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.

Admissions

Intakes

Entry Requirements

Master’s Degree

  • A Master's Degree in mathematical sciences or related fields

Other Qualifications

  • Any other qualifications will be considered on a case-to-case basis and subject to the approval and acceptance by University Senate.

English Language Requirements

  • IELTS 6.0 or equivalent

Statement of Interest (needed for application)

The statement of research interest covers the following structure:

  1. Working Title
  2. Nature of the research that interests you and why
  3. Research objectives
  4. Literature review
  5. Research Methodology
  6. References to anything you have read relevant to this research area
  7. Gantt Chart of your study

Curriculum

Modules

Candidates are required to complete three modules, namely Research Methodology, Academic Writing, and Research Proposal, in addition to the thesis component. By undergoing these modules, candidates will develop the necessary skills and knowledge to conduct research successfully towards the completion of the thesis.

Thesis

The PhD is awarded based on the successful completion of a thesis. The thesis should demonstrate proficiency, criticality and mastery in the subject or chosen area of research.

Areas of Research

The School has a dedicated team of academicians and in-house actuaries who will mentor and discuss possible research topics with you in the following areas of research interests, but not limited to:

  • Applications of statistics in finance and insurance
  • Applied probability
  • Applied stochastic processes
  • Big data analytics
  • Combinatorics
  • Computational fluid dynamics
  • Credit risk modelling
  • Evolutionary computation
  • Graph theory
  • Linear and multilinear algebra
  • Longevity studies
  • Mathematics education
  • Mathematical modelling
  • Multivariate analysis
  • Medical statistics
  • Neural networks
  • Numerical optimisation
  • Optimal control
  • Optimal control computation
  • Optimisation
  • Simulation
  • Statistical modelling
  • Statistical quality control
  • Time series modelling