Master of Science – Computing and Data Analytics
Degree: Masters
Program Overview:
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:
- Software design, development, customization, and management
- Analytics and Business intelligence: the acquisition, storage, management, and analysis of huge amounts of data to improve efficiency, innovation, and decision making
MSc CDA’s primary focus is to develop highly qualified computing and data analytics professionals who will drive innovation and organizational success. MSc CDA prepares students for rewarding careers through experiential learning opportunities and intensive industry interaction.
Admission Requirements:
- Applicants require a four-year Bachelor of Science in Computing Science degree (or equivalent in a quantitative field) with a minimum cumulative GPA equal to 70%.
- IELTS minimum score of 6.5 with no individual score below 6.0
- Pearson PTE score of 58
Estimated Tuition Fee: International Students - $41,000
Program
Outcomes:
- Develop in-demand skills and practical
experience applying industry-relevant technologies, methods, and data sets to
solve real-world problems.
- Build your professional and technical
portfolio: Java/J2EE, C#/.Net, JavaScript: node/angular/react,HTML5, PHP, iOS,
Android, Rest API, Amazon Web Services(AWS), Azure, Cognos, SQL/MySQL,
NoSQL/Mongo DB, Blockchain, R, Python, Tableau, Alteryx, Power BI, Hadoop,
Spark, and Hive.
- Explore advanced topics such as Deep
Learning, Advanced NLP using Large Language Models (LLM’s), DevOps, MLOps,
Cloud Computing, and the Intelligent Automation of Quality Assurance
- Build your professional network through
interaction with industry instructors, paid internships, sponsored projects,
industry workshops, expert guest speakers, hackathons, and special events
- Study with award-winning instructors
from Saint Mary’s Faculty of Science and the Sobey School of Business, AACSB
Accredited and the largest Canadian business school east of Quebec
- Complete work integrated learning through industry-sponsored projects and paid internships.
Career
Paths:
MSc CDA graduates have found successful careers as:
- Machine Learning Engineer
- Data Scientist
- Full Stack Developer
- Enterprise Data Designz
- Big Data Engineer
- Software Developer
- Database &System Analyst
- Business Intelligence Analyst
- Senior Data Analyst
- Artificial Intelligence Advisor
- Data Analytics Manager
- Mobile Application Developer
- Senior Solutions Architect
Program Intake: September, January, May and July
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