IELTS Academic, IELTS score of 6.0 in the academic module (with no individual band below 5.5). IELTS Online is also accepted.
Internet-based TOEFL, Score of 80 (writing 20) TOEFL iBT Home Edition is currently accepted for applications for intakes commencing semester 2 2022 and 2023 intakes. The University of Otago TOEFL institution code is: 9483 (Please note we do not accept MyBest TOEFL scores).
Paper-based TOEFL, Score of 550 (TWE 4.5) The University of Otago TOEFL institution code is: 9483
Cambridge Certificate in Advanced English (CAE), Overall score of 176 (with no individual band below 169)
Cambridge Certificate of Proficiency in English (CPE), Overall score of 176 (with no individual band below 169)
The science of learning from data.
Data is at the core of modern society. We are producing it, collecting it, wrangling it, analysing it, modelling it, understanding it, visualising it, using it on a scale that seemed impossible not so long ago.
Data Science is fundamentally about how we can learn from data and how we can meaningfully use it to improve our world. Studying Data Science leads to opportunities in fields as diverse as banking and biotechnology, entertainment and education, gaming and government, medicine and manufacturing, retail and research.
Data Science is also a broad area of study. At Otago, the Data Science programme pulls together the best that computer science, information science, and statistics have to offer while stressing application and understanding of the impact of Data Science on society.
Why study Data Science?
Data is everywhere and the demand for data scientists is exploding. Data Science is a broad field but it essentially boils down to extracting information from large and complex data sets. Working as a data scientist for an organisation means you will be at the heart of decision-making processes.
Data Science brings together techniques and methods from computer science, information science, and statistics. This means there are opportunities in areas that particularly interest you, whether it is efficient computation, data storage infrastructure, data analysis or applied machine learning. In addition to problem-solving skills that can be applied to many areas you will gain valuable communication and data visualisation skills.
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100-level
COMP 101 Foundations of Information Systems
COMP 120 Practical Data Science
COMP 161 Computer Programming
COMP 162 Foundations of Computer Science
STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics
Note: Students are exempt from COMP 161 if they have gained entry to COMP 162 by passing COMP 151 with a grade of at least B or via an Advanced Placement Test.
200-level
COSC 201 Algorithms and Data Structures
INFO 204 Introduction to Data Science
STAT 210 Applied Statistics
STAT 260 Visualisation and Modelling in R
300-level
COSC 343 Artificial Intelligence
INFO 304 Advanced Data Science
STAT 312 Modelling High Dimensional Data
One of COSC 344 Database Theory and Applications, STAT 310 Statistical Modelling
Plus , 144 further points, including either requirements for an approved minor or approved second major subject or other approved papers.
There are opportunities for Data Science graduates at all levels of business, industry, government, and science.
Health Insurance: 600 per year
