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The Data Science, Analytics, and Artificial Intelligence (DSAAI) master’s programs are a natural extension of the popular collaborative Specialization in Data Science offered jointly by several departments. Data Science is a field which has grown in huge leaps. The collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master’s and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.
One distinguishing feature of Carleton’s DSAAI program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units—thus, offering a wide disciplinary breadth, providing students with multiple perspectives.
The research areas that comprise the DSAAI include, but are not limited to:
Data mining considering the algorithms that can be used to reveal patterns in complex data sets, which are then used to extract useable and relevant information;
Statistical measures such as predictive analytics that use extracted data to gauge the likelihood of future events given history;
Machine learning which is an application of artificial intelligence that permits the processing of vast quantities of data that exceed normal computing capacity and call for new approaches, to extract or learn useful algorithms and rules;
Analysis of both stored and streaming data in the context of various systems and applications;
Data analytics platforms and parallel processing techniques to improve the performance of data analysis;
Software systems.
Students will be able to conduct advanced research in this field and will acquire the skills necessary to optimize the relevance, reliability and impact of their research.
Career Opportunities
In the workplace, alumni will be expected to synthesize and analyze complex data and communicate their findings to decision makers in a manner that is comprehensible, so that these individuals can take action. The DSAAI program will set them up for success with this skillset and future career opportunities in data science and analytics and related disciplines. They will be able to work in a team with individuals whose strengths lie in different areas of expertise and to communicate their findings to team members not trained in core data science.
Capital Advantage
Carleton’s location in Ottawa, the capital city of Canada, and long relationship with the city’s tech sector is positioned well to create a highly-educated workforce of data science specialists.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Data Science, Analytics, and Artificial Intelligence (DSAAI) master’s programs are a natural extension of the popular collaborative Specialization in Data Science offered jointly by several departments. Data Science is a field which has grown in huge leaps. The collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master’s and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.
One distinguishing feature of Carleton’s DSAAI program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units—thus, offering a wide disciplinary breadth, providing students with multiple perspectives.
The research areas that comprise the DSAAI include, but are not limited to:
Data mining considering the algorithms that can be used to reveal patterns in complex data sets, which are then used to extract useable and relevant information;
Statistical measures such as predictive analytics that use extracted data to gauge the likelihood of future events given history;
Machine learning which is an application of artificial intelligence that permits the processing of vast quantities of data that exceed normal computing capacity and call for new approaches, to extract or learn useful algorithms and rules;
Analysis of both stored and streaming data in the context of various systems and applications;
Data analytics platforms and parallel processing techniques to improve the performance of data analysis;
Software systems.
Students will be able to conduct advanced research in this field and will acquire the skills necessary to optimize the relevance, reliability and impact of their research.
Career Opportunities
In the workplace, alumni will be expected to synthesize and analyze complex data and communicate their findings to decision makers in a manner that is comprehensible, so that these individuals can take action. The DSAAI program will set them up for success with this skillset and future career opportunities in data science and analytics and related disciplines. They will be able to work in a team with individuals whose strengths lie in different areas of expertise and to communicate their findings to team members not trained in core data science.
Capital Advantage
Carleton’s location in Ottawa, the capital city of Canada, and long relationship with the city’s tech sector is positioned well to create a highly-educated workforce of data science specialists.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Applied Science in Data Science, Analytics and Artificial Intelligence
Main Campus, Ottawa, Canada
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Data Science, Analytics, and Artificial Intelligence (DSAAI) master’s programs are a natural extension of the popular collaborative Specialization in Data Science offered jointly by several departments. Data Science is a field which has grown in huge leaps. The collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master’s and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.
One distinguishing feature of Carleton’s DSAAI program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units—thus, offering a wide disciplinary breadth, providing students with multiple perspectives.
The research areas that comprise the DSAAI include, but are not limited to:
Students will be able to conduct advanced research in this field and will acquire the skills necessary to optimize the relevance, reliability and impact of their research.
Career Opportunities
In the workplace, alumni will be expected to synthesize and analyze complex data and communicate their findings to decision makers in a manner that is comprehensible, so that these individuals can take action. The DSAAI program will set them up for success with this skillset and future career opportunities in data science and analytics and related disciplines. They will be able to work in a team with individuals whose strengths lie in different areas of expertise and to communicate their findings to team members not trained in core data science.
Capital Advantage
Carleton’s location in Ottawa, the capital city of Canada, and long relationship with the city’s tech sector is positioned well to create a highly-educated workforce of data science specialists.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Data Science, Analytics, and Artificial Intelligence (DSAAI) master’s programs are a natural extension of the popular collaborative Specialization in Data Science offered jointly by several departments. Data Science is a field which has grown in huge leaps. The collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master’s and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.
One distinguishing feature of Carleton’s DSAAI program is that it is a joint program between the Faculty of Science and Faculty of Engineering and Design, spanning four academic units—thus, offering a wide disciplinary breadth, providing students with multiple perspectives.
The research areas that comprise the DSAAI include, but are not limited to:
Students will be able to conduct advanced research in this field and will acquire the skills necessary to optimize the relevance, reliability and impact of their research.
Career Opportunities
In the workplace, alumni will be expected to synthesize and analyze complex data and communicate their findings to decision makers in a manner that is comprehensible, so that these individuals can take action. The DSAAI program will set them up for success with this skillset and future career opportunities in data science and analytics and related disciplines. They will be able to work in a team with individuals whose strengths lie in different areas of expertise and to communicate their findings to team members not trained in core data science.
Capital Advantage
Carleton’s location in Ottawa, the capital city of Canada, and long relationship with the city’s tech sector is positioned well to create a highly-educated workforce of data science specialists.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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