Name: Master's
Price: 47700 USD

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QS Rank:

258

University of Canterbury

Canterbury

New Zealand

Overview

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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

Average Age

Average Work Experience

3 Years

Diversity

Europe:

10%

North America:

Africa:

South America:

Asia:

15%

New Zealand:

70%

Others:

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

Eligibility Criteria

English Proficiency Tests

PTE
58
IELTS
6.5
TOEFL
90

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

Fees and Funding

Tuition Fees

$47,700 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Canterbury offers a variety of scholarships for students pursuing a Master of Applied Data Science. These scholarships are based on academic merit, financial need, or a combination of the two. The university also offers scholarships from external organizations, such as the New Zealand Institute of Statistics and the Royal Society of New Zealand.

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.