Bachelor of Science in Genetics/Bachelor of Science - Computer Science - Dual Degree

University of New South Wales (UNSW) - Kensington Campus

Australia,New South Wales

 0 Shortlist

48 Months

Duration

CAD 54,720/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 in Genetics/Bachelor of Science - Computer Science - Dual Degree

Program Overview

In this degree you'll study a wide range of science subjects. You're encouraged to choose a variety of courses in your first year, and later to choose from more than 20 major options. This gives you time to become more familiar with the different areas of science and to explore possible majors.

The Computer Science component of this double degree emphasises the basic principles behind computing tools, operating systems, compilers and translators, and computer hardware. You'll study the representation of data and data structures and the design of algorithms, as well as the creation of hardware and software tools and the role of non-computing elements in the design and development process.

Major: Genetics
This Genetics major offers a general introduction to the discipline during the first years of study and then allows students to diversify into the more specialised areas of genetics, including molecular genetics, human genetics, plant and microbial molecular biology, conservation biology, etc. Molecular biology has had a major impact on this discipline and is ideal for those students whose interests are in understanding and appreciating biological processes at the molecular rather than the descriptive level. The study of genetics has taken a more computer/systems approach and the major has a significant focus in this discipline integration of these approaches at the cellular, whole organism and population level.

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