Data Science University of Auckland

Overview

The Master of Data Science at the University of Auckland is a highly regarded programme that prepares students to excel in the dynamic field of data science. This course is structured to provide a strong foundation in both Computer Science and Statistics, enabling students to effectively analyse and interpret data to drive informed decision-making in various industries. Graduates of this programme will possess the skills necessary to transform raw data into actionable insights, a competency that is increasingly sought after in today's data-driven world.

Why Data Science at the University of Auckland?

The University of Auckland is consistently ranked among the top universities globally, renowned for its commitment to academic excellence and innovative research. The Data Science programme benefits from strong partnerships with industry leaders, ensuring that students gain exposure to real-world applications of their studies. The university boasts state-of-the-art facilities, providing students with access to the latest technologies and resources required for their academic and professional development. This combination of high-ranking status, industry connections, and cutting-edge facilities makes the University of Auckland an ideal choice for aspiring data scientists.

Tuition Fee Breakdown

The tuition fees for the Master of Data Science are as follows:

• Domestic students: NZD 10,276 per year
• International students: NZD 50,810 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme structure for the Master of Data Science includes a comprehensive curriculum designed to cover essential topics in data science:

• Big Data Management
• Advanced Topics in Machine Learning
• Advanced Regression Methodology
• Advanced Data Science Practice
• Topics in Official Statistics
• Statistical Inference
• Foundations of Applied Multivariate Analysis
• Statistical Data Mining
• Time Series Forecasting for Data Science
• Data Visualisation
• Parallel and Distributed Computing
• Advanced Design and Analysis of Algorithms
• Web, Mobile and Enterprise Computing
• Computational Complexity
• Algorithms for Massive Data
• Statistical Computing Skills for Professional Data Scientists
• Research Project

Careers with Data Science

Graduates of the Master of Data Science programme are well-prepared for a variety of roles within the data science sector. Potential career paths include:

• Business Analyst
• Big Data Solutions Architect
• Data Mining Engineer
• Data Scientist
• Digital Product Designer
• Machine Learning Engineer

With a focus on practical skills and industry relevance, alumni of this programme have found successful careers in diverse sectors, contributing to advancements in technology and data analytics.