Master of Arts (Thesis)
The University of Canterbury (UC) in New Zealand is renowned for its academic excellenc...
Christchurch
INTAKE: Jul & Feb
The Master of Applied Data Science program at the University of Canterbury (UC) is designed to equip students with the skills necessary to navigate the complexities of data-driven decision-making in various fields.
Curriculum: UC's Master of Applied Data Science offers an interdisciplinary curriculum covering data mining, statistical analysis, machine learning, big data management, and data visualization. The coursework integrates theoretical concepts with hands-on practical applications using industry-standard tools and techniques.
Research Focus: The program emphasizes a research-driven approach, allowing students to delve into data-centric research projects. This may involve exploring advanced data analytics, predictive modeling, or developing innovative algorithms to solve complex real-world problems.
Industry Engagement: UC fosters strong ties with industry partners, providing opportunities for students to work on industry projects, internships, or collaborative research endeavors. This engagement ensures practical exposure and application of data science skills in real-world scenarios.
Global Perspective: The Master of Applied Data Science program incorporates a global perspective by addressing diverse data challenges prevalent across various industries worldwide. Students explore ethical considerations, cultural implications, and global trends in data science applications.
Christchurch
IELTS 6.5
NZD 52500
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 50% or higher in the previous academic degree.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Canterbury is dedicated to providing support to international students through various scholarship programs designed to recognize academic excellence, diversity, and specific areas of achievement. These scholarships aim to ease the financial burden and promote educational opportunities for talented individuals from around the world.
UC International First Year Scholarships: Geared towards high-achieving international students beginning their first year of study at UC. These scholarships acknowledge exceptional academic performance and assist students in their initial year of education at the university.
UC Master's Scholarships: For high-achieving international students pursuing Master's degrees at UC. These scholarships provide financial support to assist students in their postgraduate studies and promote research excellence.
UC Doctoral Scholarships: Aimed at international students undertaking Ph.D. studies at UC. These scholarships offer financial assistance and opportunities for research excellence in various fields of study.
Specific Field Scholarships: Additionally, UC offers specialized scholarships catering to students entering specific fields or disciplines. These scholarships encourage innovation and excellence in targeted areas of study.
Graduates from the Master of Applied Data Science program at the University of Canterbury (UC) possess in-demand skills and expertise, leading to diverse career opportunities in the rapidly evolving field of data science.
Data Scientist: Alumni often pursue careers as data scientists, leveraging their analytical skills to extract insights from large datasets, develop predictive models, and drive data-driven decision-making in various industries.
Data Analyst: Graduates may work as data analysts, responsible for collecting, processing, and interpreting data to provide actionable insights and support strategic business decisions.
Business Intelligence Analyst: Some alumni might take up roles as business intelligence analysts, specializing in analyzing complex data to identify market trends, assess business performance, and provide valuable insights for organizational growth.
Machine Learning Engineer: With expertise in machine learning algorithms and programming, graduates might opt for roles as machine learning engineers, developing and implementing algorithms for predictive modeling and automation.
Data Engineer: Graduates may pursue careers as data engineers, responsible for designing, constructing, and maintaining data pipelines, databases, and infrastructure to ensure efficient data processing.
Data Visualization Specialist: Some alumni might specialize in data visualization, transforming complex data into easily understandable visual representations, aiding decision-making processes.