Commencing semesters, 2024

Semester 1
Semester 2

Program level

Undergraduate

Program code

2484

Faculty

Engineering, Architecture & Information Technology
Science Faculty

School

Schl of Electrical Engineering & Computer Science

Teaching Location

St Lucia

Attendance mode

In Person

Course Lists

Please refer to the Bachelors of Computer Science / Science Program Rules for the number of units required from each course list.

Enquiries

Australian/domestic students

Faculty of Engineering, Architecture and Information Technology

Email: enquiries@eait.uq.edu.au

Phone: 07 3365 4777

International students

International Student Advisor

Email: study@uq.edu.au

Phone: Outside Australia: + 61 3 8676 7004
Within Australia (Free Call): 1800 671 980

Enquire online

Why study Scientific Computing?

In this major, you will study the ins and outs of algorithms for the numerical approximations of mathematical analysis. All scientific endeavours, from biology to chemistry to pharmaceutical research, rely on such analysis. Computers hold the key for fast and efficient analysis of complex scientific problems. However, computers are digital systems, requiring discrete inputs and outputs, while mathematical analysis often rely on continuous functions. Therefore, careful approximations are necessary to enable computers analyse complex mathematical functions used in various scientific endeavours, including by various hospitals and universities medical research, and big pharmaceutical and petrochemical companies across the public and private sectors.

Courses and requirements

Please refer to the Bachelors of Computer Science / Science Program Rules for the number of units required from each course list.

Courses that can be studied as part of the Scientific Computing Major:

What it costs

Please view the Bachelors of Computer Science / Science for indicative fees.

How to apply

Please view the Bachelors of Computer Science / Science for information on key dates and how to apply.