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Introduction of Animal Science Course in McGill University, Canada
The course of animal science in McGill University not only involves animal husbandry production, but also enters the field of human nutrition and medicine through animal models of human diseases, infertility and obesity. It also provides courses related to biotechnology and will introduce the details of the courses to you.

I. Course application

Tel: 5 14-398-7838

E-mail: onald @

Website:/Animals

Second, about animal science.

The department of animal science provides exciting challenges for graduate students in the following fields: animal breeding and genetics; Animal model of human medical application; Cow welfare; Epigenetic modeling; Food safety; Genome me (CRISPR tool); Big data analysis; Metabonomics; Reproductive physiology; Nutrition and metabolism of ruminants and non-ruminants.

Third, the curriculum advantages

Department researchers have excellent wet laboratory facilities; The large-scale animal research group of McDonald's campus farm can conduct large-scale animal research, and can also use other livestock breeds for research experiments. This study can be used by small animal research units to carry out research involving rodent models, guinea pigs, newborn piglets and rabbits. Professional knowledge can also be used in application information systems, management software development, large-scale data analysis and so on. Work closely with Quebec Dairy Technology Center to allow large-scale data mining courses, software development and provide advice tools for the industry. The subject also has rich professional knowledge in food safety, environmental research related to animal production and global food safety. Our employees have established many contacts through research networks, providing a rich learning environment for our graduate students.

Fourth, the degree setting

1. Master of Science

Under the supervision of one of our staff, two one-semester courses and three graduate-level seminars were held in course added, and many of them were leaders in their respective fields. The competition for applying for this course is fierce, and excellent bachelor's degree and reference books are needed. Graduates of this course are well prepared for careers in many different fields, such as animal industry, pharmaceutical industry and biotechnology.

This non-thesis degree is open to animal scientists who have worked in industry or government departments, undergraduates inspired by the concept of sustainable and comprehensive animal agriculture, course leaders who are interested in animal resource management and veterinarians. This course provides postgraduate training in the field of animal production and application, aiming at combining the technology and management of animal production with the related fields of agricultural resource utilization.

2. Master of Science (Sustainable Agriculture) (45 credits)

3. Doctor of Philosophy (Animal Science)

Doctoral degrees are mainly research degrees, and the number of courses required is usually much less than that of master's degrees. This depends on the student's personal background and must be approved by the student advisory Committee. It includes at least two graduate seminars and doctoral degrees. Comprehensive entrance examination for doctoral students. Like a master's degree, admission is based on good grades. Encourage suitable candidates to contact potential supervisors in their fields of interest. However, applicants should know that no professor can accept students' admission without the formal approval of the Graduate Admissions Committee.

4. Doctor of Philosophy (Animal Science) (Bioinformatics)

Bioinformatics research is located at the intersection of biology/medical science and mathematics/computer science/engineering. The purpose of bioinformatics is to train students to become researchers in interdisciplinary fields. This includes the development of experimental design strategy, the construction of data set analysis tools, the application of modeling technology, the creation of tools for manipulating bioinformatics data, the integration of biological databases and the use of algorithms and statistics.