QS Rank:
235
University of Waikato
Waikato
,New Zealand
Program Name
BCMS(Hons) in Data Analytics
Overview
View Official page
Bachelor of Data Analytics in Genetic Data Analytics is one of the most favoured degree
programs undertaken by students from the University of Waikato. The reason for the
popularity of this degree course is that it has consistently ranked on reputed global
educational platforms.
The course is designed to give fundamental and advanced knowledge in the
Genetic Data Analytics. International students enrolled in a BS Degree in Genetic Data Analytics at the
University of Waikato experience quality education and comprehensive hands-on
practical learning.
The qualified teachers, high-end classrooms, interactive curriculum, cost-effective
tuition fees and merit-based scholarships offer students the opportunity to develop
holistically. Overall, graduating with a BS Degree in Data Analytics at
University of Waikato will make students job ready.
Why Study Data Analytics at University of Waikato
- Most preferred by international students
- Provides enough hands-on learning experience
- Study in high-end classrooms from experienced teachers
- An array of internship and work opportunities all customised after course completion to prepare the students for the real world
Duration
48 Months
Median Salary
$55,000
Ranking
#761
US World and News Report
#235
QS World University Rankings
Class Profile
Class Size
200
Average Age
22
Average Work Experience
1 Years
Diversity
Others:
2%North America:
2%South America:
1%New Zealand:
75%Asia:
15%Europe:
5%Career Outcomes
Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Data Engineer
Teacher
Entrepreneur
Marketing Analyst
Operations Analyst
Data Analyst
Financial Analyst
Quantitative Analyst
Risk Analyst
Data Scientist
Business Analyst
Actuary
Consultant
Machine Learning Engineer
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
80
IELTS
6
PTE
50
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
Passport
Academic LOR
Resume
Application Deadlines
Fees and Funding
Tuition Fees
$33,090 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Waikato Institute of Technology
The Waikato Chamber of Commerce
The Waikato Employers' Federation
FAQs
A student can complete Data Analytics at University of Waikato with in 48.
The annual tuition fee to pursue Data Analytics at University of Waikato is NZD 33090.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Waikato. 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 Waikato requirements before submitting a score.
Data Analytics 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 Waikato, they can easily pursue Data Analytics. 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 Waikato 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 Waikato website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Waikato 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.
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