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Master of Mathematical Sciences

University of Canterbury · Canterbury · UCNZ-MASTER-OF-MATHEMATICAL-SCIENCES

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Master of Mathematical Sciences at University of Canterbury lists 18 subjects. Subjects include MMathSci Thesis (CAMS), Computer Programming and Introduction to Data Science. The topics that come up most are mathematical economics, research projects and applied mathematics (6, 5 and 5 subjects). It takes 3 years full time, has intakes in February and July and can be studied full-time and part-time.

Compiled from public course information: approximate, not official.

University
University of Canterbury
Level
Postgraduate
Duration
3 years
Study mode
full-time, part-time

What you'll study in Master of Mathematical Sciences

mathematical-economicsresearch-projectsapplied-mathematicsdata-sciencedata-analyticssocial-research-methodsmarketing-researchcomputational-mathematicsmathematicsresearch-designdata-miningmathematics-educationstrategystatistical-computing

Example subjects: MMathSci Thesis (CAMS), Computer Programming, Introduction to Data Science, Foundations of Deep Learning, Research Project, MMathSci Thesis (Data Science), MMathSci Thesis (Financial Engineering), MMathSci Project (45 points), MMathSci Project, Project, Research Project, MMathSci Thesis (Mathematics).

Frequently asked questions

How long is Master of Mathematical Sciences?

Master of Mathematical Sciences at University of Canterbury is typically 3 years of full-time study. Approximate: confirm with the university.

What will I study in Master of Mathematical Sciences?

Master of Mathematical Sciences covers areas like mathematical-economics, research-projects, applied-mathematics, data-science, data-analytics, social-research-methods, marketing-research, computational-mathematics.

Who offers Master of Mathematical Sciences?

Master of Mathematical Sciences is offered by University of Canterbury, Canterbury.

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Sources: University of Canterbury official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.

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