Description:

This scholarship recognises outstanding performance in MATH 199, the STAR course at Te Kura Pāngarau | School of Mathematics and Statistics of Te Whare Wānanga o Waitaha | University of Canterbury, and supports students majoring in Applied Data Science, Computational and Applied Mathematical Sciences, Data Science, Financial Engineering, Mathematics, or Statistics at the University. .

Value/Benefits: Financial assistance at a value of $5,000 per annum for three years

Level of Study: School Leaver (First year undergraduate)

Closing Date: 11:59 pm (NZT) 1 November (Applications open approximately 8 weeks before this date.)

Tenure: Three years

Number Available Annually: Three

Applicable Enrolment During Tenure: The scholarship is tenable during full-time enrolment which includes at least 60 points per academic year of taught courses that contribute to a degree programme with a major in one of the following:
• Applied Data Science
• Computational and Applied Mathematical Sciences
• Data Science
• Financial Engineering
• Mathematics
• Statistics

Citizenship/Residency Requirements: Not applicable

Special Requirements: Applicants must be enrolled in the STAR course offered by Te Kura Pāngarau | School of Mathematics and Statistics at the University (MATH 199).

For more information, please read the regulations for this award: click: here.

Special Eligibility Requirements:

Applicants must be enrolled in the STAR course offered by the School of Mathematics and Statistics at the University (MATH 199), and may not have been enrolled, in the year of application or in any previous year, in a programme for a degree.

Selection will be based on:

achievement in MATH 199;
evidence of leadership potential; and
strategic objectives of the University.

Additional Information:

This scholarship is not co-tenable with the AIMS Scholarship.

Contact Information:

For questions about this application, please contact Scholarships Office at scholarships@canterbury.ac.nz

Search Filters:

Faculty/School

Engineering

Level of Study

School Leaver (First year undergraduate)

Subject of Study

Applied Data Science
Computational and Applied Mathematics
Data Science
Financial Engineering
Mathematics
Statistics

Domestic/International Students

Domestic
International currently studying in a New Zealand secondary school

Application Closing Month

November

Award Type

Any
Scholarship