Data Science University of Otago

Overview

The Data Science programme at the University of Otago provides students with the essential technical skills required to navigate a world increasingly driven by digital information. By blending multiple scientific disciplines, the curriculum ensures graduates can effectively handle, analyse, and visualise data to support high-level decision-making.

This course is designed for those who are passionate about problem-solving and the ethical implications of technology in modern society. Students engage with a variety of learning methods, including traditional lectures, interactive tutorials, and practical laboratory sessions. Assessment is conducted through a mix of individual assignments, group projects, and formal examinations.

Why Data Science at the University of Otago?

The University of Otago offers a unique approach by integrating expertise from the departments of computer science, information science, and statistics. This collaborative environment allows students to apply data-driven techniques to diverse fields such as marine science, public health, or commerce through flexible minor options.

The institution provides a supportive learning atmosphere where students gain hands-on experience with real-world data problems. Facilities include modern computing labs where learners can get their hands dirty with practical data science tasks. The programme emphasises both the technical rigour of programming and the creative aspects of data visualisation.

Tuition Fee Breakdown

• International fee: NZD 45045 per year
• National fee: NZD 8291 per year

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

Syllabus

Modules may include:

• Modern Mathematics
• Computer Programming
• Statistical Methods
• Biostatistics
• Information Systems
• Practical Data Science
• Computer Science
• Algorithms and Data Structures
• Data Science
• Applied Statistics
• Visualisation and Modelling in R
• Artificial Intelligence
• Advanced Data Science
• Modelling High Dimensional Data
• Database Theory and Applications
• Statistical Modelling
• R for Statistics and Data Science
• Database Systems
• Applied Programming Techniques
• Applied Data Science
• Statistical Learning
• When Machines Decide

Careers with Data Science

Graduates are well-prepared for diverse roles across various sectors, including banking, biotechnology, and government. The skills acquired during the programme are highly sought after in industries such as gaming, manufacturing, retail, and medical research. Data scientists play a pivotal role in shaping strategy and planning within professional sports and city infrastructure.

Common career paths involve working at the heart of an organisation's decision-making processes. Opportunities exist in specialised areas like applied machine learning, data storage infrastructure, and efficient computation. Graduates also find success in roles focused on communication, graphics, and the visual representation of complex information.