Bachelor of Science and Doctor of Dental Medicine - Genetics and Genomics

This double degree gives you the opportunity to study science before undertaking dentistry. Designed for high school leavers who have achieved outstanding results, you will study a three-year undergraduate science degree, followed by the four-year Doctor of Dental Medicine. With a deeper understanding of the scientific fundamentals that underpin dentistry, you will graduate prepared for a rewarding career. The Doctor of Dental Medicine offers you the opportunity to develop skills through practice-based learning and will expose you to new dental technologies and research. You will learn to draw on evidence to treat patients effectively and respond to the changing oral health needs in the community. We offer the latest facilities, internationally acclaimed academics and the opportunity for patient care from early in your degree.

Genetics and Genomics will provide you with knowledge that can be applied to improving our understanding of evolution (past and present) and of many aspects of the biology of all organisms. This knowledge can also be applied to the development of novel biotechnology products, to improving the health of humans and animals, to forensics, to the conservation and management of plants and animals, to the diagnosis and control of pests, parasites and harmful micro-organisms, to improving the means by which plants and animals can sustain the feeding and clothing of humanity and to further our understanding of the biology of organisms. Genetics is the science of biological inheritance and variation. Its fundamental principles are embraced by genomics, molecular genetics, 'Mendelian' genetics, epigenetics, cytogenetics, population genetics, and quantitative genetics. Genomics is a relatively new discipline that has been developed through the capacity of geneticists and genome scientists to generate very large data sets using by high-throughput DNA, RNA and protein technologies, and the need to determine the control of biological functions by informatics analysis of the large data sets generated.

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