Master of Science [M.Sc] (Mathematics)

at University of Otago

Modules
 

• Modelling and Computation    
• Differential Equations  
• Numerical Methods
• Research Project

• Admission to the programme shall be subject to the approval of the Pro-Vice-Chancellor (Sciences).
• be a graduate with an average grade of at least B for the appropriate 300-level papers, or
• have alternative qualifications or experience acceptable to the Pro-Vice-Chancellor (Sciences).
• An applicant seeking admission to the thesis-only option of the programme (see regulation 2(c) below) on the basis of the degree of Bachelor of Science with Honours or the Postgraduate Diploma in Science or equivalent must have achieved a grade of at least B+ for the research report, thesis preparation, or dissertation requirement of the qualification concerned.
• In considering an applicant's qualifications, regard will be had to the detail of the course of study followed to gain the qualification, as well as the applicant's performance in the programme.

The cost of studying at University of Otago varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen. 

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay NZ$37,746 annually, to study in University of Otago.

Mathematics graduates, especially those with a well-rounded background in mathematical, statistical, and computer skills, have a qualification that integrates perfectly into the modern, technology-based world.

Applied mathematicians are in demand wherever employers need deterministic models, for example, in seismology and the earth sciences, meteorology, the chemical and forensic industries, health, ecology and conservation, transportation and scheduling, engineering, and computing, to name a few. And for those with both applied Mathematics and Statistics, i.e. a background in both deterministic and stochastic models, one can add to the above list the areas of social science, financial services and insurance, epidemiology, quality assurance, economics, policy, government, and many others.