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Study Data Science at Otago

Āta Mātai Raraunga

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.

Apply for the Bachelor of Applied Science (BAppSc) through the Dunedin campus in 2023

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Apply for the Bachelor of Arts and Science (BASc) through the Dunedin campus in 2023

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Apply for the Bachelor of Commerce and Science (BComSc) through the Dunedin campus in 2023

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Apply for the Diploma for Graduates (DipGrad) through the Dunedin campus in 2023

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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.

Background required

Entry into the Bachelor of Applied Science (BAppSc) in Data Science is open to anyone, however taking Digital Technology for NCEA is useful and NCEA Level 3 Mathematics and Statistics is helpful.

Career opportunities

There are opportunities for Data Science graduates at all levels of business, industry, government, and science.

Can I combine Data Science with other subjects?

Yes.

Because Data Science is a major for the Bachelor of Applied Science, you will need a minor or a second major in an approved subject area.

There are a large number of subject areas to choose from in Applied Science, Arts and Music, Science, as well as all Commerce subjects.

You may even choose Computer Science, Information Science or Statistics.

What will I learn?

Data Science brings together techniques and methods from computer science, information science, and statistics to extract insight from large and complex data sets, and to communicate this acquired knowledge through effective modelling and visualisation.

You will learn how to acquire, handle and analyse data to solve problems in a wide variety of areas. You will also learn to think critically and ethically about the increasing role Data Science plays in society.

How will I learn?

The programme is delivered using lectures, tutorials, and practical labs. Assessment is a combination of assignments, projects, presentations, and exams. There will be opportunities to work in groups.

Qualifications

Explore your study options further. Refer to enrolment information found on the following qualification pages.

*It is a requirement that every Bachelor of Applied Science (BAppSc) normally includes an approved minor subject or an approved second major subject. Usually such a minor or second major subject must be selected from the approved combinations of major subjects with minor or second major subjects. Some exceptions may apply. For details see:

Full list of available approved minor and second major subject areas

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 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.

18

18

18

18

18

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

18

18

18

18

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

18

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


Papers

Due to COVID-19 restrictions, a selection of on-campus papers will be made available via distance and online learning for eligible students.
Find out which papers are available and how to apply on our COVID-19 website

COMP papers

Paper code Year Title Points Teaching period
COMP101 2023 Foundations of Information Systems 18 points Semester 2, Summer School
COMP111 2023 Information and Communications Technology 18 points Semester 2
COMP120 2023 Practical Data Science 18 points Semester 1, Semester 2
COMP151 2023 Programming for Scientists 18 points Semester 1
COMP161 2023 Computer Programming 18 points Semester 1, Semester 2, 1st Non standard period
COMP162 2023 Foundations of Computer Science 18 points Semester 2, Summer School
COMP210 2023 Information Assurance 18 points Semester 2
COMP270 2023 ICT Fundamentals 15 points Semester 1
COMP371 2023 ICT Studio 1 15 points Semester 1
COMP372 2023 ICT Studio 2 15 points Semester 2
COMP373 2023 ICT Studio 3 15 points Semester 1
COMP390 2023 ICT Industry Project 30 points 1st Non standard period, 2nd Non standard period, 3rd Non standard period

COSC papers

Paper code Year Title Points Teaching period
COSC201 2023 Algorithms and Data Structures 18 points Semester 1
COSC202 2023 Software Development 18 points Semester 1
COSC203 2023 Web, Databases, and Networks 18 points Semester 2
COSC204 2023 Computer Systems 18 points Semester 2
COSC301 2023 Network Management and Security 18 points Semester 1
COSC312 2023 Cryptography and Security 18 points Semester 2
COSC326 2023 Computational Problem Solving 18 points Semester 1, Summer School
COSC341 2023 Theory of Computing 18 points Semester 2
COSC342 2023 Visual Computing: Graphics & Vision 18 points Semester 1
COSC343 2023 Artificial Intelligence 18 points Semester 2
COSC344 2023 Database Theory and Applications 18 points Semester 1
COSC345 2023 Software Engineering 18 points Semester 2
COSC349 2023 Cloud Computing Architecture 18 points Semester 2
COSC360 2023 Computer Game Design 18 points Summer School
COSC385 2023 Research Project 18 points Full Year
COSC402 2023 Advanced Computer Networks 20 points Semester 2
COSC412 2023 Advanced Cryptography and Security 20 points Semester 2
COSC420 2023 Deep Learning 20 points Semester 1
COSC431 2023 Information Retrieval 20 points Semester 1
COSC440 2023 Advanced Operating Systems 20 points Semester 2
COSC444 2023 Advanced Database Technologies 20 points Semester 1
COSC450 2023 Computer Vision and Graphics 20 points Not offered in 2023
COSC470 2023 Special Topic: Machine Learning 20 points Not offered in 2023
COSC471 2023 Approved Special Paper 20 points Not offered in 2023
COSC480 2023 Applied Project 40 points Full Year
COSC490 2023 Dissertation 40 points Full Year

INFO papers

Paper code Year Title Points Teaching period
INFO130 2023 Fundamentals and practice of spreadsheets 18 points Semester 1
INFO201 2023 Developing Information Systems 1 18 points Semester 1
INFO202 2023 Developing Information Systems 2 18 points Semester 2
INFO203 2023 Human-Computer Interaction and User Experience 18 points Semester 1
INFO204 2023 Introduction to Data Science 18 points Semester 2
INFO250 2023 Special Topic 18 points Not offered in 2023
INFO301 2023 Applied Project 18 points Semester 2
INFO302 2023 Information Systems Strategy and Governance 18 points Semester 2
INFO303 2023 Enterprise Information Systems Infrastructure 18 points Semester 1
INFO304 2023 Advanced Data Science 18 points Semester 2
INFO305 2023 Advanced Human-Computer Interaction and Interactive Systems 18 points Semester 1
INFO310 2023 Software Project Management 18 points Semester 1
INFO350 2023 Topics in Information Science 18 points Semester 1, Semester 2
INFO351 2023 Special Topic: Virtual and Augmented Reality 18 points Semester 2
INFO352 2023 Special Topic 18 points Not offered in 2023
INFO353 2023 Special Topic 18 points Not offered in 2023
INFO390 2023 Research Topics 18 points Not offered in 2023
INFO407 2023 Agent-based Software Technologies 20 points Semester 2
INFO408 2023 Management of Large-Scale Data 20 points Semester 2
INFO410 2023 Interactive and Immersive Systems 20 points Semester 1
INFO411 2023 Machine Learning and Data Mining 20 points Semester 2
INFO420 2023 Statistical Techniques for Data Science 20 points Semester 2
INFO424 2023 Adaptive Business Intelligence 20 points Semester 1
INFO451 2023 Special Topic 20 points Not offered in 2023
INFO452 2023 Special Topic 20 points Not offered in 2023
INFO470 2023 Advanced Topics in Information Science 20 points Semester 1, Semester 2
INFO490 2023 Dissertation 40 points Full Year
INFO501 2023 Applied Project 40 points 1st Non standard period
INFO580 2023 Research Project 40 points 1st Non standard period

STAT papers

Paper code Year Title Points Teaching period
STAT110 2023 Statistical Methods 18 points Semester 1, Summer School
STAT115 2023 Introduction to Biostatistics 18 points Semester 2
STAT210 2023 Applied Statistics 18 points Semester 1
STAT260 2023 Visualisation and Modelling in R 18 points Semester 2
STAT270 2023 Probability and Inference 18 points Semester 1
STAT310 2023 Statistical Modelling 18 points Semester 1
STAT311 2023 Design of Research Studies 18 points Semester 1
STAT312 2023 Modelling High Dimensional Data 18 points Semester 2
STAT370 2023 Statistical Inference 18 points Semester 2
STAT371 2023 Bayesian Data Analysis 18 points Semester 2
STAT372 2023 Stochastic Modelling 18 points Semester 1
STAT399 2023 Special Topic 18 points Not offered in 2023
STAT401 2023 Applied Statistical Methods and Models 20 points Semester 1
STAT402 2023 Regression Models for Complex Data 20 points Semester 2
STAT403 2023 Case Studies in Statistics 20 points Semester 2
STAT404 2023 Advanced Statistical Inference 20 points Semester 1
STAT405 2023 Probability and Random Processes 20 points Semester 1
STAT435 2023 Data Analysis for Bioinformatics 20 points Semester 1
STAT441 2023 Topic in Advanced Statistics 20 points Semester 2
STAT442 2023 Topic in Advanced Statistics 20 points Not offered in 2023
STAT481 2023 Statistical Practice 20 points Not offered in 2023
STAT490 2023 Dissertation 40 points Full Year, 1st Non standard period
STAT498 2023 Special Topic 20 points Not offered in 2023
STAT499 2023 Special Topic: Clinical Trials 20 points Not offered in 2023

Key information for future students

Contact us

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

Web otago.ac.nz/sciences/study/applied-science