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The Master of Data Analytics (MDA) is designed to produce professionals ready to pursue an analytics-focused career within the public and private sectors. The program, building on students’ core competencies in computer science and statistics, equips them with a set of highly sought-after, interdisciplinary technical data analytics skills. Students are also provided with the opportunity to customize their learning experience through the selection of two specialty fields. The program culminates with an internship where students will get practical, hands-on experience using the analytics skills in a workplace environment.
Programme overview
Main Subject
Library and Information Management
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master of Data Analytics (MDA) is designed to produce professionals ready to pursue an analytics-focused career within the public and private sectors. The program, building on students’ core competencies in computer science and statistics, equips them with a set of highly sought-after, interdisciplinary technical data analytics skills. Students are also provided with the opportunity to customize their learning experience through the selection of two specialty fields. The program culminates with an internship where students will get practical, hands-on experience using the analytics skills in a workplace environment.
Admission Requirements
3+
94+
7+
Admission Requirements: (1) Applicants must possess a four-year degree from an accredited university with a minimum average of 75% across courses taken in the last two full-time equivalent years of the undergraduate degree. Equivalent qualifications may be considered based on the standards of the discipline or profession; (2) The Master of Data Analytics program builds on students’ existing skills and knowledge in computer science and statistics. Successful applicants will have the following basic level of mathematical and computer science background, as demonstrated by achieving an average of at least 75% in the following list of fundamental courses: at least one half-course of calculus and one half-course of linear algebra; at least one half-course of calculus-based probability, at least one half-course of calculus-based statistics; and at least two half-courses of computer programming; (3) In addition, evidence of a certain level of mathematical maturity must be demonstrated by having successfully completed a mathematically mature course at the third or fourth year undergraduate level, with a mark of at least 75%. For full details about the admission requirements, please click Data Analytics on the above right sidebar of this webpage.
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Analytics (MDA) (Taught)
Western University, London, Canada
# 36QS Subject Rankings
12 monthsProgramme duration
Library and Information ManagementMain Subject Area
Programme overview
Main Subject
Library and Information Management
Degree
Other
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Library and Information Management
Degree
Other
Study Level
Masters
Study Mode
On Campus
Admission Requirements
Admission Requirements: (1) Applicants must possess a four-year degree from an accredited university with a minimum average of 75% across courses taken in the last two full-time equivalent years of the undergraduate degree. Equivalent qualifications may be considered based on the standards of the discipline or profession; (2) The Master of Data Analytics program builds on students’ existing skills and knowledge in computer science and statistics. Successful applicants will have the following basic level of mathematical and computer science background, as demonstrated by achieving an average of at least 75% in the following list of fundamental courses: at least one half-course of calculus and one half-course of linear algebra; at least one half-course of calculus-based probability, at least one half-course of calculus-based statistics; and at least two half-courses of computer programming; (3) In addition, evidence of a certain level of mathematical maturity must be demonstrated by having successfully completed a mathematically mature course at the third or fourth year undergraduate level, with a mark of at least 75%. For full details about the admission requirements, please click Data Analytics on the above right sidebar of this webpage.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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