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
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
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.