B.S Data Science at University Of Auckland [UNI OF AUCKLAND], Auckland Fees, Entry Requirement & Application Deadline

Bachelor of Science [B.S] [Data Science] From University of Auckland

Auckland, North IslandLocation
UniversitySchool type
Estd1883established year
30041enrollment
Public
7.3/10

Bachelor of Science [B.S] (Data Science)

3 years
Full Time
On Campus

$30,938 /Yr

NZ$55,247 /Yr
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Collegedunia Team

Content Curator | Updated 3+ months ago

  • Students will learn the essentials of data science through the study of data management, algorithmics and data analysis.
  • Students will study courses like Introduction to Statistics, Probability and its Applications, Principles of Programming, Principles of Computer Science, and General Mathematics.
  • During the program students will learn how to:
    • Process data and manage databases
    • Bring together data from disparate sources
    • Extract information and value from data

Tuition Fees

Year1st Year Fees
Tuition Fees$30938 (NZD 55247)

Other Expenses

HeadAvg Cost Per Year
Living Expenses$6178 (NZD 11032)
Total Cost$6178 (NZD 11032)

Previous Year Tuition Fees

Year1st Year Fees
2023$19739 (NZD 35249)
2021$22282 (NZD 39790)

Scores Required

6 / 9

Avg. Score in

IELTS

80 / 120

Avg. Score in

TOEFL

50 / 90

Avg. Score in

PTE


Required Document List

  • Transcript: Students must submit the official marks statements or transcripts that are provided by the college.
  • Certificates: Certificates like High School or University/College Certificates are to be submitted of education qualification.
  • Resume/CV: Outline of academic achievements and/or awards, publications, relevant work, and volunteer experience.
  • Test Results: Provide proof of English proficiency, if English is not the first language in student country, as proof of IELTS/TOEFL result scores is to be submitted.

Key Resources for Your Study Abroad Journey


Career and Placement after Course

Followings are the career opportunities for the students:

  • Data Mining Engineer
  • Machine Learning Engineer
  • Data Engineer/Data Architect
  • Data Scientist
  • Statistician
  • Data Solutions Analyst
  • Business Intelligence Analysts


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