Master of Computing & Data Analytics
- Saint Mary's University
- Computing & Data Analytics
- Masters
- Computer & It
- Public
- Canada
The Master of Computing & Data Analytics program at Saint Mary’s University is a specialized graduate course that blends computing theory with practical data analysis skills. It covers areas such as machine learning, data mining, and big data analytics, preparing students to solve complex problems using data-driven approaches. This program is important as it equips graduates with the skills to meet the growing demand for data professionals in various industries, including healthcare, finance, and technology. By enabling better decision-making and predictive modeling, it helps drive innovation, efficiency, and solutions to global challenges, making a significant impact worldwide.
Category | Details |
---|---|
Time | Full time |
Campus | Halifax |
Duration | 1.5 |
Deadline-Date | 01-March, |
Fee Per Year | $27,365.00 |
Application Fee | 110 C$ |
Currency | CAD$ |
Intake Link | https://www.smu.ca/future-students/cs-apply-online.html |
Deadline Link | https://www.smu.ca/future-students/admissions/cs-apply-online.html#:~:text=Important%202024%20Admissions%20Dates%20and%20Deadlines&text=April%2015%20for%20international%20applicants,May%201%20for%20Canadian%20applicants.&text=June%2015%20for%20international%20applicants. |
Intakes | September |
Program language requirement |
Who can Choose this program?
A bachelor’s degree in a related discipline, such as computer science, information technology, mathematics, or statistics, is usually required for a master’s program in computing and data analytics. Understanding the intricate ideas and theories involved in computers and data analytics requires a solid foundation in these areas.
Additional Information
Category | Details |
---|---|
Scope of the program | Graduates are frequently employed in business intelligence, artificial intelligence, machine learning, data analytics, and data science. Their proficiency in statistical modeling, data analysis, and computing enables them to work on a variety of projects involving machine learning, predictive analytics, and data-driven decision-making. In order to specialize in topics like big data analytics, data mining, or artificial intelligence, many graduates also seek postgraduate study in computer science, data science, or related disciplines. The degree offers a strong basis for a rewarding job where one uses data to solve challenging challenges, spur innovation, and make wise judgments. |
Program entry requirement | An undergraduate degree (any discipline) from a recognized university with at least a "B" average (3.0/4.3 GPA) or equivalent. Official transcripts must be sent from each post-secondary institution attended by the applicant. |
Required GPA | A minimum of a "B" average (3.0/4.3 GPA) or above. |
GRE Required | N/A |
GMAT Required | N/A |
Application Process | 1. Register for an Online Application: To start your application, create an account on the university’s application portal. This will give you access to the online application form. 2. Start the Application Process: Once registered, start filling out the online application form. The process is simple. 3. Complete the Application Form: Fill out the form with proper and complete information about your academic background, personal details, and program preferences. This will help them to better understand your qualifications. 4. Upload Required Documents: Use the portal to submit the necessary documents online, which may include: • Official Transcripts: Submit official transcripts from any institutions you have attended. • Standardized Test Scores: If applicable, upload your English language test score reports. • CV or Resume: Provide an up-to-date CV or resume that highlights your educational and professional experience. • Statement of Purpose: Write a statement detailing your goals for the program, research interests, and reasons for applying. • Letters of Recommendation: Arrange for two recommenders to submit letters of recommendation through the portal, based on their knowledge of your academic capabilities. |
Available Scholarships | https://studyabroadupdates.com/scholarships/ |
Program accreditation | N/A |
Living expenses | Student residences: 250 – 625 CAD/month. University-arranged homestays: 400 – 800 CAD/month. Rent & share an apartment: 300 – 700 CAD/month, prices for rent depend on location and facilities. If you choose to rent a studio/one-room apartment, you can pay over 1,000 CAD/month. |
Visa Process Details | 1. Completed application form (IMM 1294). 2. Acceptance letter from the university. 3. Proof of funds showing you can cover your living expenses and tuition fees. 4. Bank statements. 5. Educational documents or evidence of sponsorship (if applicable). 6. Medical examination report from a doctor authorized by immigration. 7. Police clearance certificates from your country of birth and from any other countries where you have lived for six months or more in the past five years. 8. Passport-sized photographs. 9. Payment for the study permit application fee (currently 150 CAD). 10. Custodian Declaration (IMM 5646) (if applicable), required if you are a minor, must be signed by your custodian in Canada. |
Part timework | You can only work 20 hours a week as a student with a study permit during a regular academic semester. During planned breaks, such as summer or winter holidays, you can work 40 hours a week. |
Post-study work opportunity | Depending on the length of the course, a post-study work permit in Canada allows you to remain in the country after finishing your studies for a maximum of three years. After graduating, those who wish to pursue further education can apply for a visa and study in Canada. |