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Study Data Science at Otago

Data science banner

Overview

Data science is the science of learning from data. Data science brings together techniques and methods from computer science, information science and statistics in order to extract knowledge from large, complex datasets, and to communicate and apply this knowledge.

If you enjoy problem-solving and wish to combine your interests in statistics and computing, a degree in Data Science will appeal to you. You will learn how to use technology to acquire, handle and analyse data, and how to think critically and ethically.

Graduates in Data Science obtain data-driven jobs in business, industry, government, consulting and science.

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Contact details

Matthew Parry
Department of Mathematics and Statistics
Tel 64 3 479 7780
Email matthew.parry@otago.ac.nz

Grant Dick
Department of Information Science
Tel 64 3 479 8180
Email grant.dick@otago.ac.nz

Brendan McCane
Department of Computer Science
Tel 64 3 479 8588
Email brendan.mccane@otago.ac.nz

Website
Applied Science programme

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Qualifications

Papers

See the full list of:

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Programme Requirements

Bachelor of Applied Science (BAppSc) majoring in Data Science

Year Papers Points
100-level

COMP 101  Foundations of Information Systems

COMP 120  Practical Data Science*

COMP 160  General Programming

STAT 110  Statistical Methods or  STAT 115  Introduction to Biostatistics

18

18

18

18

200-level

COSC 241  Programming and Problem Solving

INFO 204  Introduction to Data Science

STAT 210  Applied Statistics

STAT 260  Visualisation and Modelling in R*

18

18

18

18

300-level

COSC 343  Artificial Intelligence

INFO 304  Advanced Data Science

STAT 312 (to be introduced 2020)

STAT 312  Regression and Modelling 2*

One of COSC 344 Database Theory and Applications, STAT 310 (to be introduced 2020)

18

18

18

Plus 

144 further points, including either requirements for an approved minor or approved second major subject or other approved papers.

144

Total   360

* Further information will be available for these papers in early September 2018.

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