Students
Tuition Fee
Start Date
2026-07-01
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2026-02-01-
2026-07-01-
2027-02-01-
2027-07-01-
About Program

Program Overview


University of Canterbury Programs

The University of Canterbury offers a wide range of programs for students.


About UC

The University of Canterbury has a strong reputation and a vibrant student community.


Study Options

The university provides various study options, including:


  • Qualifications
  • Subjects
  • Courses
  • Academic study options
  • Transition programmes
  • Other study options
  • UC Graduate School
  • School & community outreach
  • Library

Faculties

The university is composed of several faculties, including:


  • Arts
  • Business
  • Education
  • Engineering
  • Health
  • Law
  • Science

Master of Applied Data Science

The Master of Applied Data Science is a postgraduate program that provides students with a strong skillset in statistics and machine learning.


  • The program involves working with real-world data and provides opportunities for internships in industry.
  • Students have the opportunity to complete an internship in industry, gaining training and experience working with real-world data.
  • The program has given students a strong skillset in statistics and machine learning, with great results and opportunities to earn awards.

Student Stories

Several students have shared their experiences with the Master of Applied Data Science program, including:


  • Sumathi Karpurapu
  • Emil Mendoza
  • Yunxing (James) Ding
  • Joo-Hyun Ahn
  • Pratik Mehta
  • Roelant (Rolls) Hofmans
  • Nur Syaida Firzana Mohamad Isham
  • Xinmei (Ivy) Zhang
  • Lakshay Mehra
  • Phuong Tang

These students have spoken highly of the program, citing its high-quality content, practical cutting-edge techniques, and great projects and programmes to help employability. They have also appreciated the opportunity to gain a wide range of technical competencies and broaden their understanding in healthcare via analysing data.


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