Data science has been declared by Harvard Business Review to be one of, if not, THE most sexy jobs in modern times. With the rapid expansion of data and its importance in today's world, it's no wonder that universities are offering more and more programs dedicated to this field.

If you're looking to pursue a Ph.D. in data science, Canada is an excellent place to do it. Here are seven of the best universities for data science Ph.D. programs:

1. University of Toronto

2. McGill University

3. University of British Columbia

4. McMaster University

5. Université de Montréal

6. Western University

7. Queen's University

There are many great universities in Canada that offer Ph.D. programs in data science. However, there is one university that stands out above the rest: The University of British Columbia.

The University of British Columbia offers a Ph.D. in data science that takes 5-6 years to complete. This program is highly respected and will give you the skills and knowledge you need to become a leading data scientist.

If you are looking for the best university for a Ph.D. in data science, then look no further than The University of British Columbia.

Data science is a relatively new field, and as such, there are not yet many data science Ph.D. programs available in Canada. However, for those interested in pursuing a career in data science, there are a few options available.

The average length of time it takes to complete a data science Ph.D. program is 4 years. However, some programs may take up to 9 years to complete. For students who want to complete their program in a shorter amount of time, some programs offer an accelerated option that can be completed in as little as 10 months.

Choosing the right data science Ph.D. program is an important decision that will impact your future career. There are many factors to consider when making your decision, such as the length of the program, the cost of tuition, and the location of the school.

If you're considering earning a Ph.D. in data science, make sure to do your research to find the program that's right for you!

With over 65,000 students enrolled, The University of British Columbia is one of the largest universities in Canada. It's also one of the top-ranked schools in the world, coming in at 40th place according to Times Higher Education.

Of those 65,000 students, 17,000 are international students representing 140 different countries. UBC has campuses in both Vancouver and Okanagan in British Columbia, making it a convenient choice for students from all over Canada and the world.

UBC is especially well-known for its Computer Science program. The Ph.D. program offers research areas including Data Integration, Text Mining, Web Databases, and Optimization. The program is only offered as a full-time option and takes three to five years to finish.

If you're considering pursuing a data science degree at a Canadian university, UBC should definitely be on your list!

HEC Montréal is one of the leading business schools in Canada. Over 14,000 students attend the school founded in 1907.

The school is located in Montreal, Quebec, which is a great city for business and education. The Administration - Data Science PhD program at the school is a four to five year program.

This program is perfect for those who want to pursue a career in data science. The program provides students with the skills and knowledge they need to be successful in this field.

If you are interested in pursuing a career in data science, then HEC Montréal is the perfect school for you!

The University of Waterloo offers a Ph.D. in Computer Science with research areas relevant to data science, including databases, information retrieval, and machine learning. The program is offered in both full-time and part-time study modes, with admission three times per year.

Waterloo's computer science department is internationally recognized for its research excellence. In addition to the traditional areas of database systems, artificial intelligence, and software engineering, the department has strong research programs in human-computer interaction, graphics and visualization, networks, parallel and distributed systems, programming languages, security and privacy, theory of computation, and verification and testing.

The department offers a wide range of courses at the undergraduate and graduate level. Undergraduate students can choose from courses that cover the fundamentals of computer science as well as more specialized topics such as graphics or security. Graduate students can pursue their studies through coursework or research leading to a Master of Science or Doctor of Philosophy degree.

Waterloo provides an ideal environment for students interested in data science. The university is located in the heart of Canada's technology hub, where you'll have access to leading companies and organizations working with big data. And with world-renowned faculty members conducting cutting-edge research in data science, you'll be sure to get a top-notch education at Waterloo.

The University of Alberta is a top-tier Canadian research university that was established in 1908. With Nobel-winning physicist Richard E. Taylor and former Canadian prime minister Joe Clark among its graduates, the total student enrolment at the university is over 40,000.

Alberta’s Department of Computing Science offers a Ph.D. in Computing Science with an extensive variety of research areas, one of which being data science. The Department of Mathematical and Statistical Sciences offers a Ph.D. in Statistical Machine Learning in collaboration with the Department of Computer Science.

Data science is an interdisciplinary field that combines aspects of computer science, statistics, and mathematics to extract knowledge and insights from data. It’s a relatively new field, but it’s growing rapidly in popularity due to the increasing amount of data being generated by businesses and organizations.

The University of Alberta’s Ph.D. in Computing Science program is designed for students who want to pursue careers in research and academia. The program offers a broad education in computing science, with coursework covering topics such as programming languages, software engineering, databases, and artificial intelligence. Students can also choose to specialize in specific areas such as data science or machine learning.

The Ph.D. in Statistical Machine Learning is a joint program between the Department of Computing Science and the Department of Mathematical and Statistical Sciences. This program is ideal for students interested in developing new methods for statistical machine learning, which is a subfield of artificial intelligence that deals with the design and development of algorithms that learn from data.

Both programs offer excellent preparation for careers in research and academia, as well as for positions in industry related to data science and machine learning. If you’re interested in pursuing a career in this rapidly growing field, either of these programs would be a great choice!

Dalhousie University, established since 1818, isone of North America's prestigiousolder institutions. Founded in 1818, it is located in Halifax, Nova Scotia. The school has a student population of around 19,000 and offers more than 180 programs at the undergraduate, graduate, and professional levels.

One of Dalhousie's most popular programs is its Ph.D. in Computer Science with a specialization in Data Analytics. This program prepares students for careers in data science and analytics, both in academia and industry. The curriculum covers topics such as machine learning, data mining, statistical modeling, and database management. Graduates of this program are well-positioned to pursue exciting and rewarding careers in a variety of fields.

The University of New Brunswick was founded in 1785 and is located in Fredericton and Saint John, New Brunswick. It is the oldest English-language university in Canada and one of the first public universities in North America. There are over 10,000 students enrolled at UNB, which offers a Ph.D. in Computer Science with a focus on Data Management, Analytics, and Mining.

The program normally takes three years to complete, but students have the option of studying part-time if they meet certain conditions. Part-time students may take up to six years to complete the program. The average time to completion for full-time students is four years.

UNB's Faculty of Computer Science is one of the leading data science programs in Canada. The faculty has world-renowned researchers who are leaders in their field. The faculty is also home to the Canadian Institute for Cybersecurity, which is a world-class research centre that focuses on cybersecurity and data privacy.

In conclusion, there are many great universities in Canada that offer Ph.D. programs in data science. However, the University of British Columbia stands out as the best university for a Ph.D. in data science. The program is highly respected and will give you the skills and knowledge you need to become a leading data scientist. If you are looking for the best university for a Ph.D. in data science, then look no further than The University of British Columbia.