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.
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
Qualifications
- Bachelor of Applied Science* (BAppSc)
- Bachelor of Arts and Science (BASc)
- Bachelor of Commerce and Science (BComSc)
- Diploma for Graduates (DipGrad)
*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
Papers
See the full list of:
- Computer and Information Science (COMP) papers
- Computer Science (COSC) papers
- Information Science (INFO) papers
- Statistics (STAT) papers
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 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 |
