📖Introduction

The University of Guelph is a comprehensive public research university located in Guelph, Ontario, Canada. It is recognized for its strong programs in agriculture, veterinary medicine, life sciences, environmental sciences, business, and the arts. The university is committed to providing a transformative learning experience and fostering a supportive community for its students. With a focus on research, innovation, and community engagement, the University of Guelph prepares students to address global challenges and contribute to society.

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📚About the Program

PhD in Bioinformatics at University of Guelph

Bioinformatics is the development and application of computational and statistical techniques for solving problems involving complex biological data. This emerging discipline is growing rapidly alongside technological developments for large-scale data generation in the life sciences, such as in genomics, proteomics, functional pathway analysis, health sciences, and biodiversity. Demand is accelerating for new approaches for data storage, retrieval, analysis, and applications. A new generation of professionals is required to meet this demand, having bioinformatics skills and the capacity to create new approaches. Show less
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📖Program Curriculum

BINF*6110 Genomic Methods for Bioinformatics Winter Only [0.50]
This course provides an introduction to current and emerging methods used to generate genomic data analyzed in bioinformatics. This may include techniques for DNA sequencing as well as transcriptome, proteome and metabolome analysis. The objective is to develop an appreciation for the challenges of producing data.

Offering(s): Annually
Restriction(s): Restricted to Bioinformatics students.
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6210 Software Tools for Biological Data Analysis and Organization Fall Only [0.50]
This course familiarizes students with tools for the computational acquisition and analysis of molecular biological data. Key software for biological data acquisition, management, analysis, and visualization are presented. Laboratory exercises guide students through application of relevant tools.

Offering(s): Annually
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6410 Bioinformatics Programming Fall Only [0.50]
This course introduces students to computer programming in languages relevant for contemporary bioinformatics. Students apply these programming skills to perform bioinformatics data analyses.

Offering(s): Annually
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6420 Biosequence Pattern Analysis Winter Only [0.50]
This course is an overview course on different approaches to analyze biological sequences. Basic concepts are introduced, as well as related algorithms.

Offering(s): Annually
Restriction(s): Restricted to Bioinformatics students.
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6500 PhD Research Writing in Bioinformatics Summer, Fall, and Winter [1.00]
Background literature pertinent to the student's initial research direction is studied. Starting with a reading list provided by the advisor and the instructor, the student builds on this list and constructs a major literature review over two semesters. As the student begins to generate initial ideas for their own research direction, their ideas for their doctoral research are written and explained. The emphasis is on a sub-field or sub-fields of bioinformatics.

Offering(s): Annually
Restriction(s): Restricted to PhD Bioinformatics students.
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6890 Topics in Bioinformatics Fall Only [0.50]
The course covers a breadth of knowledge of topics in bioinformatics, which may include, but are not limited to, programming languages and development, computing skills applicable to artificial intelligence and machine learning strategies, and multi-OMICs software packages and their applications in diverse biological fields. Additionally, critical thinking, communication, presentation, and collaboration skills are developed and fostered.

Offering(s): Annually
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6970 Statistical Bioinformatics Winter Only [0.50]
This course presents a selection of advanced approaches for the statistical analysis of data that arise in bioinformatics, especially genomic data. A central theme to this course is the modelling of complex, often high-dimensional, data structures.

Offering(s): Annually
Restriction(s): Restricted to Bioinformatics students.
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
BINF*6999 Bioinformatics Masters Project Summer and Fall Reg Required [1.00]
A major research project and paper is completed and presented by students in the Master of Bioinformatics program. Projects may involve either the development or application of bioinformatics methods. Professionalism and communication skills in written, oral, visual, and computational formats are also emphasized.

Offering(s): Annually
Prerequisite(s): BINF*6110, BINF*6210
Restriction(s): Restricted to Master of Bioinformatics students.
Department(s): Dean's Office, College of Biological Science
Location(s): Guelph
Note

Some courses may not be offered every year. Students planning to take a courses from the above list should consult with the Graduate Program Assistant for availability and scheduling.

Electives
Biological Sciences
Course List
Code Title Credits
ANSC*6100 Special Project 0.50
ANSC*6240 Topics in Animal Genetics and Genomics 0.50
ANSC*6330 Topics in Computational Biology and Bioinformatics 0.50
ANSC*6370 Quantitative Genetics and Animal Models 0.50
ENVS*6450 Multivariate Environmental Data Analysis 0.50
HHNS*6440 Nutrition, Gene Expression and Cell Signalling 0.50
MCB*6370 Protein Structural Biology and Bioinformatics 0.50
PLNT*6160 Advanced Plant Breeding II 0.50
PLNT*6500 Applied Bioinformatics 0.50
Note

Students may take the Machine Learning Modelling section of ANSC*6100 Special Project which is offered in Winter only.

Computer Science
Course List
Code Title Credits
CIS*6020 Artificial Intelligence 0.50
CIS*6060 Bioinformatics 0.50
CIS*6080 Genetic Algorithms 0.50
CIS*6120 Uncertainty Reasoning in Knowledge Representation 0.50
Mathematics and Statistics
Course List
Code Title Credits
STAT*4340 Statistical Inference 0.50
STAT*6801 Statistical Learning 0.50
STAT*6802 Generalized Linear Models and Extensions 0.50
STAT*6950 Statistical Methods for the Life Sciences 0.50
Note

Some courses may not be offered in every semester. Students planning to take a course from the above list should consult with the department offering the course to check for availability and scheduling.

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🏫About University of Guelph

The University of Guelph, situated in Guelph, Ontario, is known for its strong agricultural and veterinary science programs. However, it also offers a diverse range of academic disciplines across various faculties, including arts, sciences, business, engineering, and social sciences. Guelph is renowned for its commitment to experiential learning and community engagement, providing students with opportunities to apply their knowledge and skills in real-world settings.

🏠 Accommodation

You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

How to book:

  • Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
  • Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it
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💰 Fees

Application Fee:

230 RMB

Tuition fee:

29,175 CAD per year

116,700 CAD in total

Entry Requirements

You are not eligible to apply to this program because:

The minimum age is 18.

Minimum education level: Master's

The program is competitive, you need to have a high grades of Average A, 70%, or a high GPA.

All students from all countries are eligible to apply to this program.

Is this not correct? You can edit your profile or contact us.
Or see the list of programs you are eligible for here .
Check Your Eligibility Show Suitable Programs

📬 Admissions Process

3 Steps to Apply to a University

Application step 1

Application step 2

Application step 3

Please choose the programs here , "You are advised to select 2-3 programs to increase your chances of getting accepted.

Required Documents:

  • Passport
  • Graduation certificate
  • Passport size photo
  • Official transcript
  • Personal statement
  • English certificate (You can take the English test online)
  • Guarantor letter
  • 2 Recommendation letters
  • Research proposal

Preparing documents:

You can start your application now and send the application documents during your application. Some documents you can send later if you don’t have them right away. Some more info about preparing application documents is here

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Application process:

Applying Online is simple in just a few steps. More information is available here.

The first steps are to choose the programs, pay the application fee and upload the application documents.

Once submitted to Global Admissions, we will review your application within 2-3 days and proceed to the university or ask you for further clarification

After it has been processed to the university you will receive your unique application ID from each university.

The university may contact you directly for further questions.

We will then follow up each week with the university for updates. As soon as there is any update we will let you know. If you have made other plans, decide to withdraw / change address at any time please let us know.

After you have been accepted you will receive your admissions letter electronically and asked to pay the non-refundable deposit to the university.

Once you have paid the deposit the university will issue you the admissions letter and visa form to your home country.

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Here is some more information about the enrollment process after you have been accepted.

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