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Overview

Computational Data Science is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. The information gleaned from the data analysis is intended to improve business decisions and inform policies. The Computational Data Science major enables a student to specialise … For more content click the Read More button below.

Available in Program(s)
Single degree program(s) in which this specialisation is available:

Bachelor of Actuarial Studies - BActSt3586 - Actuarial Studies
Bachelor of Actuarial Studies (Co op) - BActSt (Co-op)3587 - Actuarial Studies (Co op)
Bachelor of Data Science and Decisions - BDataSci3959 - Data Science and Decisions

Specialisation Structure

Students must complete 66 UOC.

Level 1 Core Courses18 Units of Credit:
Level 2 Core Courses12 Units of Credit:
Level 3 Core Courses18 Units of Credit:
Prescribed Electives18 Units of Credit:

Enrolment Disclaimer

Please note that this Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

Additional Information

Note

  • Students enrolled in program 3959 will complete MATH1131/1141, MATH1231/1241, and COMP1511 as part of the core requirement for their program.
  • Most of the elective courses have prerequisite requirements. These requirements may be completed by courses from the core or by other courses from the elective list.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)