QS Rank:
240
Queen's University, Kingston
Ontario
,Canada
Program Name
Master of Science in Data Science and Machine Learning
Deadline
January 15th, 2024
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at Queen's University, Kingston, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at Queen's University, Kingston include masters in data science, bachelors in data science, boot camps, and short courses.
Course Level | Post Graduation |
Course Duration | 12-14 months |
Average Tuition Fee | INR 15-60 lakhs per year |
Top Job Roles | Data Scientist, Data Analyst, Data Manager, Data Architect, etc. |
Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at Queen's University, Kingston, one can expect to dive into essential concepts in the mentioned areas:
- Applied Statistics
- Database Systems and Data Preparation
- Practical Machine Learning
Subjects Under Masters in Data Science at Queen's University, Kingston
The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at Queen's University, Kingston are as follows:
- Statistics
- Coding
- Business Intelligence
- Data Structures
- Mathematics
- Algorithm
- Programming
- Software engineering
- Artificial intelligence
- Machine learning
- Systems architecture
These subjects can be adjusted based on a university curriculum and specialisation.
Scope of MS in Data Science at Queen's University, Kingston
Being in the list of the hottest courses, MS in Data Science at Queen's University, Kingston offers immense opportunities for students with various intriguing and growth-oriented job roles.
- The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
- The top salaried sectors that an international student can explore after pursuing their data scientist masters program at Queens are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at Queens, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
12 Months
Median Salary
$75,000
Ranking
#240
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
20
Average Age
25
Average Work Experience
2 Years
Diversity
Others:
10%Quebec:
15%Ontario:
45%British Columbia:
10%Alberta:
5%Manitoba:
3%Saskatchewan:
2%Career Outcomes
Median Earnings After Graduation
$75,000 / year
Prospective Job Roles
Statistician
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Data Architect
Machine Learning Engineer
Top recruiters
Eligibility Criteria
English Proficiency Tests
IELTS
7
TOEFL
88
PTE
65
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Standard Deadline | |
---|---|
Fall | Jan 15, 2024 |
Fees and Funding
Tuition Fees
$38,782 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Queen's University International Scholarship
FAQs
The application fee to pursue Data Science and Machine Learning at Queen's University, Kingston is CAD 110 for international students.
The annual tuition fee to pursue Data Science and Machine Learning at Queen's University, Kingston is CAD 38782.
The Data Science and Machine Learning at Queen's University, Kingston has 3 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the Queen's University, Kingston. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Queen's University, Kingston requirements before submitting a score.
Data Science and Machine Learning can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of Queen's University, Kingston, they can easily pursue Data Science and Machine Learning. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at Queen's University, Kingston can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Queen's University, Kingston website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Queen's University, Kingston by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
A student can complete Data Science and Machine Learning at Queen's University, Kingston with in 12.
The deadline to submit an admission application for Data Science and Machine Learning at Queen's University, Kingston is Application deadline Fall (Standard Deadline) - date - 15/01/2024
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