IDC stated that the data we create is growing at a rate of 40% per year. By the end of 2020, 90% of large companies will generate revenue through data as a service. In fact, data affects almost every aspect of our lives. With these staggering levels of growth, there is a great demand for data-savvy professionals who can analyze, communicate, and innovate in a data-centric economy. At the same time, the demand for traditional computer skills (computer programming, product development, quality engineering, etc.) is also increasing.
Saint Mary’s Master of Science in Computing & Data Analytics (MSc CDA) is a graduate-level, 16-month professional program that balances its focus on these two growth areas:
The main focus of MSc CDA is to train highly skilled computing and data analysis professionals who can drive innovation and organizational success. The Master of Science CDA prepares students for rewarding careers through experiential learning opportunities and intensive industry interactions.
Benefits of the MSc CDA
The Master of Science in Computing and Data Analysis (M.Sc. CDA) program is a professional graduate program that full-time and part-time students can use. The plan is based on established principles of mathematics and computer science for industrial and commercial analysis. It combines the two basic aspects of computing and data analysis: design, development, customization, and management of hardware and software platforms; and Analytics, Business Intelligence, and Knowledge Discovery - Acquisition, storage, management, and analysis of large amounts of data to improve efficiency and innovation and decision-making.
It is an interdisciplinary application based on a solid foundation obtained through a Bachelor of Science in Computer Science (or equivalent). This program provides individuals with a unique opportunity to acquire deeper technical skills and a broader understanding of current and future trends in business and information technology (IT). The principles of business and industry practice are intertwined throughout the plan.
The MSc CDA is a rigorous graduate program characterized by delivering innovative interdisciplinary courses in a challenging environment and providing opportunities to interact with industry professionals. After completing the required courses, the choice of internship, project, or thesis elements provides flexibility to meet the student's goals. In special circumstances, with the permission of the project coordinator, students may combine internships and project selection.
The MSc CDA follows the general admission requirements and procedures of the Faculty of Graduate Studies and Research, as outlined in the.
In addition, applicants must meet or provide evidence for the following criteria:
The English Language Proficiency (ELP) requirements for M.Sc. in Computing & Data Analytics in Canada: are:
Items | Costs | ||||||
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Application Fees | CA$110.00 | ||||||
Living Cost | $10,800.00/year ($900.00/month) |
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Student Earning | CA$16,064.00/year |
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You will earn CA$16,064.00/year by working (20h/week * 4 weeks * 8 months * CAD 12.55/h) + (40h/week * 4 weeks * 4 months * CAD 12.55/h) at minimum wage of CA$12.55/hour. |
Items | Costs | ||||||
---|---|---|---|---|---|---|---|
Application Fees | CA$110.00 | ||||||
Living Cost | $10,800.00/year ($900.00/month) |
||||||
Student Earning | CA$16,064.00/year | ||||||
This is just an estimate. You don't have any work hour limit. You will earn CA$16,064.00/year by working (20h/week * 4 weeks * 8 months * CAD 12.55/h) + (40h/week * 4 weeks * 4 months * CAD 12.55/h) at minimum wage of CA$12.55/hour. |
MSc CDA Secretary
Neelam Pal
neelam.pal@smu.ca
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