1. Saint Marys University
  2. Program
  3. Masters
  4. M.Sc. in Computing and Data Analytics

M.Sc. in Computing and Data Analytics

16 Months On Campus Masters Program

Saint Marys University

Program Overview

Gartner projects that over 75% of enterprises will be using AI by the end of 2024, driving a 5x increase in streaming data and analytics infrastructures. With these staggering levels of growth, there is a huge demand for data-savvy professionals with the ability to analyze, communicate, and innovate in a data-centric economy. Simultaneously, the demand for conventional computing expertise (computer programming, product development, quality engineering, etc.) also continues to rise.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.

Program Key Stats

$27365



Eligibility Criteria


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6.5
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Additional Information & Requirements

The MSc CDA follows the general admission requirements and procedures of the Faculty of Graduate Studies and Research, as outlined in the Graduate Academic Calendar.In addition, applicants must meet or provide evidence for the following criteria:Applicants require a four-year Bachelor of Science in Computing Science degree (or equivalent in a quantitative field) with a cumulative GPA equal to 70%, Letter of Intent describing how the program will benefit your educational and career goals.An up-to-date CV,Applicants must successfully complete a programming test.Applicants must successfully complete a technical interview

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Applications Architect
  • Enterprise Architect
  • Data Architect
  • Infrastructure Architect
  • Data Enginee

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