Quantitative Data Science - MATHE13959

Stream Summary

Faculty: SCI - Faculty of Science

School: Faculty of Science


Program: 3959 - Data Science and Decisions


Bachelor of Data Science and Decisions (Major)

View stream information for previous years

Stream Outline

Quantitative 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 program provides a strong technical background in mathematics, statistics, computer science and economics. The Quantitative Data Science major enables a student to specialise further in mathematical and statistical methods to interpret, understand and predict data.

The program and this major open a pathway to exciting careers in data science and data analytics.

Stream Structure

A major in Quantitative Data Science consists of 66 units of credit as follows:-

Core Courses

Stage 1
Stage 2
Stage 3
Elective courses

Students must take 24 UOC from the following list:
Students enrolled in program 3959 (Data Science) will already complete MATH1131 or MATH1141, MATH1231 or MATH1241 and MATH2801 or MATH2901 as part of the core requirements for their program.

All COMP electives and electives listed below have prerequisite requirements. Prerequisite requirements may be completed as part of the core requirements for 3959 Data Science or by using free electives.

Additional electives requiring prerequisites are:
Further Information
Please note that these requirements may be subject to change.

Students are advised to follow requirements according to the year they commenced. Please refer to previous editions of the Online Handbook for your program requirements.

Study Levels

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