Master of Data Science

University of Auckland

Master's degree

Study Discipline: Science & Mathematics

Study Programme Details

City:

Country: New Zealand

Admission Sessions: Autumn Session

Study Format: Full Time, Part Time

Mode of Study: Fully on Site

Programme Type

Master's degree

Duration

18 Months

Scholarship Available

Yes

Language

English

About this Study Course

Embark on a transformative journey into the world of data science, where decisions are crafted using measurable, data-driven insights. Our Master of Data Science program goes beyond theory, immersing you in the dynamic realm of turning raw data into actionable knowledge. Explore the latest industry advancements, gaining the skills to harness the power of data for strategic decision-making.

Overview

In an era where the ability to convert data into information, knowledge, and innovative products is paramount, our Master of Data Science program stands at the forefront. Through a robust core curriculum blending Computer Science and Statistics, you’ll acquire a unique skill set in data science. This program equips you to comprehend, process, and manage data effectively, extracting valuable insights. Graduates emerge as critical, reflective practitioners, ready to pursue professional goals and engage in further postgraduate study.

Admission Requirements

IELTS 6.5 and the writing test score 6.0
C2 Proficiency – Cambridge English Qualifications with pass grade A, B or C.
C1 Advanced – Cambridge English Qualifications with pass grade A, B or C.
TOEFL iBT 90 and the writing test score 20
You must have completed an undergraduate degree in a relevant subject from a recognised university (or similar institution).

COMPSCI 752 Big Data Management
COMPSCI 760 Datamining and Machine Learning
STATS 762 Regression for Data Science
STATS 769 Advanced Data Science Practice

Domestic studentsNZ$10,275.60
International studentsNZ$50,564 – $50,810

Future Career Outcomes

Graduates of the Master of Data Science program are poised for a future where data-driven decision-making is paramount. With a skill set honed in the latest advancements in the field, our alumni contribute to cutting-edge research, drive innovation, and occupy pivotal roles in industries such as finance, healthcare, technology, and beyond. Future career outcomes include leadership in data strategy, AI implementation, and shaping the direction of organizations through data-driven insights.