Bachelor of Science (Honours) in Advanced Mathematics - Advanced Statistics / Bachelor of Engineering (Honours) - Dual Degree

University of New South Wales (UNSW) - Kensington Campus

Australia,New South Wales

 0 Shortlist

72 Months

Duration

CAD 54,500/year

Tuition Fee

CAD 150

Application Fee

Apply Date

Australia, New South Wales

Type: University

Location Type: Semi-Urban

Founded: 1949

Total Students: 65,600 +

Int. Students: 22,946 +

Campus Detail

Main Campus Address

Civil Engineering Building (H20), Library Rd, UNSW Sydney, Kensington NSW 2052, Australia

Bachelor of Science (Honours) in Advanced Mathematics - Advanced Statistics / Bachelor of Engineering (Honours) - Dual Degree

Program Overview

The Bachelor of Engineering (Honours) is a four-year degree, which can be studied part time or full time.

Engineers develop practical solutions to technical and environmental problems by using science and mathematics. Through scientific discoveries engineers meet societal and consumer needs. 

Engineers work in a range of roles across all different types of industries, from civil engineering to environmental, computer science to petroleum engineering – the possibilities are endless. The type of engineer you’ll become often depends on the specialisation you choose in this degree. This degree offers 19 engineering specialisations across different engineering disciplines.

In this degree you’ll gain a solid background in mathematics, natural sciences and computing that’ll prepare you to learn knowledge and skills in an engineering discipline. You’ll graduate with the technical knowledge, skills and attributes required to succeed as a professional engineer.


Major: Advanced Mathematics
The major in Advanced Statistics has been designed to ensure that graduates are well trained in three key areas: probability and stochastic processes, statistical inference and modelling, and modern statistical computing methods. Third year electives allow students to further develop their statistical capabilities according to their own interests. Computing has become firmly entrenched in modern Statistics and our courses take full advantage of our excellent computing facilities. This will only enhance the portfolio of skills that students bring to their career.

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