QS Rank:
258
University of Canterbury
Canterbury
,New Zealand
Program Name
Master's in Applied Data Science
Overview
There are numerous focus areas and types of masters programs one can pursue through higher education at University of Canterbury, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at University of Canterbury 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 University of Canterbury, 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 University of Canterbury
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 University of Canterbury 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 University of Canterbury
Being in the list of the hottest courses, MS in Data Science at University of Canterbury 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 U Canterbury are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at U Canterbury, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
12 Months
Median Salary
$55,000
Ranking
#338
US World and News Report
#258
QS World University Rankings
Class Profile
Class Size
25
Average Age
28
Average Work Experience
3 Years
Language Test Scores
Minimum Score
58 / 90
Minimum Score
6.5 / 9
Minimum Score
90 / 120
Diversity
Europe:
10%North America:
5%Africa:
1%South America:
1%Asia:
15%New Zealand:
70%Others:
9%Admissions
Application Requirements
Applicants must have a Bachelor's degree (or equivalent) in a relevant discipline, with a minimum GPA of 3.0. Applicants must also have strong programming skills and experience in data analysis. The program is highly competitive, and only a limited number of places are available. Applicants are encouraged to apply early.
What Really Matters When Applying
Online Application
Required
Application Fee
Required
Degree Certificate/Diploma
Required
Full Academic Transcript
Required
Evidence of English Language Proficiency
Required
A Copy Of The Personal Details Pages From Your Passport
Required
Academic LOR
Required
Transcript
Required
Resume
Required
Career Outcomes
Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Research Scientist
Data Visualization Specialist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Machine Learning Engineer
Top recruiters
Fees and Funding
Tuition Fees
$47,700 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
New Zealand Institute of Statistics
FAQs
The submission of these scores mainly depends on the type of degree/ course selected at the University of Canterbury. 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 University of Canterbury requirements before submitting a score.
Applied Data Science 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 University of Canterbury, they can easily pursue Applied Data Science. 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 University of Canterbury can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Canterbury website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Canterbury 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 Applied Data Science at University of Canterbury with in 12.
The application fee to pursue Applied Data Science at University of Canterbury is NZD 100 for international students.
The annual tuition fee to pursue Applied Data Science at University of Canterbury is NZD 47700.
The Applied Data Science at University of Canterbury has 2 semesters.
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