18 December 2024
Data science, among the top fifteen digital jobs in North America, receives significant annual investment in Canada. The demand for skilled data scientists is widespread across various industries. The Master of Data Science (MDS) program equips you with a career in leveraging data to improve lives by providing a comprehensive foundation in core data science skills, emphasising ethical considerations.
Through this program, you will develop expertise in data mining, data warehousing, database management, ETL processes, machine learning, AI, statistical modelling, scripting, and data visualisation.
Why Pursue Data Science Masters Programs in Canada?
The MDS program offers a unique learning experience in Canada. Combining hands-on training, flipped classroom methodology, real-world case studies, and peer collaboration, it equips you to analyse diverse datasets and become skilled, ethical data analysts. The curriculum is designed to directly address industry demands, preparing you for a successful career in data science.
Data scientists blend business acumen with statistical and modelling techniques, predictive analytics, machine learning, AI, and programming languages to extract insights from complex data. By visualising data and presenting findings, they empower decision-makers to solve business challenges.
What are the Career Prospects of MS in Data Science?
Data Scientist: Data engineers construct and maintain the technological framework and data pipelines required to store, process, and analyse substantial datasets. They use these insights to inform business decisions and solve complex problems.
Data Engineer: Data engineers design, build, and maintain the infrastructure and pipelines necessary to store, process, and analyse large volumes of data. They ensure data quality, accessibility, and security.
Business Intelligence Developer: Business intelligence developers create interactive dashboards and reports to visualise data and provide key insights to business stakeholders. They help organizations make data-driven decisions.
Data and Reporting Analyst: Data and reporting analysts collect, clean, and analyze data to produce accurate and timely reports. They provide insights into business performance and identify trends.
Machine Learning Researcher: Machine learning researchers innovate and optimise algorithms for machine learning models. They explore new techniques and contribute to the advancement of AI.
Software Engineer: Software engineers conceive, develop, and evaluate software applications. They work on a variety of software projects, including data science tools and platforms.
Statistician: Statisticians apply statistical methods to collect, analyze, interpret, and present data. They employ statistical methods to gather, analyze, interpret, and present data, enabling them to draw inferences and forecast future trends.
Eligibility for a Master’s in Data Science in Canada
To pursue a Master’s in Data Science in Canada, you must meet specific eligibility requirements. While these requirements may vary slightly between institutions, common criteria include:
- Academic Background: A strong academic background in mathematics, statistics, computer science, engineering, or a related field.
- GPA: A minimum GPA of 3.0 on a 4.33 scale.
- Standardized Tests: Some universities may require GRE or GMAT scores.
- English Language Proficiency: A minimum IELTS score of 6.5 or equivalent.
It’s essential to consult the specific requirements of each university you are interested in to ensure you meet all eligibility criteria.
Best Universities for a Master’s in Data Science in Canada
| University | 1st-Year Tuition Fees (approx) | Eligibility | Course Duration |
|---|---|---|---|
| Carleton University | ₹19.23 Lakh | IELTS: 6.5 overall
TOEFL(IBT): 86 UG Degree |
2 Years (Full Time) |
| HEC Montreal | ₹15.27 Lakh | GRE/GMAT
TOEFL(IBT)/IELTS |
16 months-2 Years
(Full Time) |
| McGill University | ₹17.03 Lakh | GMAT/GRE
IELTS: 6.5 Overall TOEFL(IBT): 86 |
1 Year
(Full Time) |
| Queen’s University | ₹28.84 Lakh | GMAT: 650
TOEFL(IBT)/IELTS |
1 Year
(Full Time) |
| Ryerson University (Toronto Metropolitan University) | ₹19.04 Lakh | GPA: 3.0 out of 4.3
TOEFL(IBT): 93 IELTS: 7 Overall |
1 Year
(Full Time) |
| Simon Fraser University | ₹22.01 Lakh | GPA: 3.0 out of 4.3
IELTS: 7 Overall TOEFL(IBT): 93 |
16 months(Full Time) |
| The University of British Columbia | ₹33.97 Lakh | IELTS: 7 Overall
TOEFL(IBT): 100 |
10 months
(Full Time) |
| University of Toronto | ₹36.22 Lakh | IELTS: 7 Overall TOEFL(IBT): 93 |
16 months
(Full Time) |
| University of Waterloo | ₹33.94 Lakh | IELTS: 7 overall
TOEFL(IBT): 90 UG Degree: Minimum 75% |
16-20 months
(Full Time) |
| University of Western Ontario | ₹37.03 Lakh | TOEFL(IBT): 94
IELTS: 7 Overall UG Degree: Minimum 70% |
1 Year
(Full Time) |
Top Data Science Programs in Canada
Data Analytics (Post-Degree Diploma): This program is designed for graduates seeking to specialize in data analysis. It covers foundational concepts like data cleaning, visualization, and statistical analysis.
Post-Degree Diploma in Data Analytics: Similar to the previous program, this diploma focuses on data analytics techniques. It equips students with the skills to extract insights from data and make data-driven decisions.
Diploma in Data Science & Analytics: This diploma offers a broader perspective on data science, encompassing both data analysis and machine learning. It provides a solid foundation for a career in data science.
Graduate diploma in data analytics: This postgraduate program is designed for professionals aiming to elevate their careers in data analytics. It offers an in-depth exploration of advanced data analytics techniques and tools.
Graduate Certificate in Information Systems and Security Analysis: This program focuses on the security aspects of information systems. It covers topics like cybersecurity, network security, and data privacy. While it’s related to data, its primary focus is on security.
FAQs
Is Canada good for data science masters?
Canada continues to be among the best destinations when it comes to pursuing MS in Data Analytics. Apart from quality education, post-degree opportunities like promising professional prospects and lucrative salaries contribute to these factors.
What is the salary of MS data science in Canada?
On average, Data Scientists in Canada earn a yearly salary of $135,200, or $69.33 per hour. Entry-level positions typically start around $94,978 annually, while experienced professionals can earn up to $144,838 per year.
How much does it cost to do a master’s in data science in Canada?
A Master’s degree in Data Science in Canada typically costs between CAD 20,000 and CAD 50,000 per year, with most programs ranging from CAD 30,000 to CAD 40,000 annually. The exact cost can vary based on the specific university and program chosen.
Conclusion
A Master’s degree in Data Science from a Canadian institution can open doors to a lucrative and highly sought-after career. Students often have the opportunity to work part-time while pursuing their studies. These programs offer a comprehensive curriculum covering essential subjects in data science. Consult our experts at Landmark Immigration for more information.
