University Course Planner The University of Adelaide Australia

MATHS 7027OL - Mathematical Foundations of Data Science

Career: Postgraduate Coursework
Units: 3
Term: Online Teaching Period 5
Campus: Online
Contact: Up to 5 hours per week
Restriction: Graduate Diploma in Data Science (Applied) OL OR Master of Data Science (Applied) OL Only
Available for Study Abroad and Exchange: No
Available for Non-Award Study: No
Pre-Requisite: Carousel 1 Courses: COMP SCI 7212OL, COMP SCI 7210OL, DATA 7201OL & DATA 7202OL
Assessment: Exam, ongoing assessment

This course introduces fundamental mathematical concepts relevant to computer science and provides a basis for further postgraduate study in data science, statistical machine learning, and cybersecurity. Topics covered are probability: sets, counting, probability axioms, Bayes theorem; optimisation and calculus: differentiation, integration, functions of several variables, series approximations; linear algebra: vector and matrices, matrix algebra, vector spaces; discrete mathematics and statistics: linear regression, linear least squares, regularisation. Applications of the theory to data science and machine learning will be developed.

Course Fees

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Student Status


What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here

Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Online Teaching Period 5 Fri 12/08/2022 Fri 09/09/2022 Mon 26/09/2022 Mon 10/10/2022

Class Details

Enrolment Class: Class Meeting
Class Nbr Section Size Available Dates Days Time Location
65003 01OL 300 278 This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details.