Programme details

Master of Data Science – MDataSc

Enhance your skills with the Master of Data Science, where you'll integrate mathematics, computer science, statistics, artificial intelligence, and machine learning to tackle real-world challenges. This program provides a comprehensive foundation, enablin

Course description

Our graduates gain an advanced understanding of data science techniques, including machine learning and statistical methods, and their applications in big data. You will be able to critically analyze data requirements and sources across various fields, from the sciences, humanities, and social sciences to business and government.

The demand for data scientists in both commercial and state sectors is rapidly increasing, and the role of data scientist has consistently been ranked among the top jobs in recent years.

The Master of Data Science (MDataSc) program is professionally focused, including a five-week work placement with one of our industry partners. These partners range from data science consultancies and government departments to private companies. During this placement, you will apply your academic knowledge in a professional setting, enhancing your practical skills and professional competence.

Immigration benefits

This course qualifies for 5 points if applying for residency under the Skilled Migrant Category.

This course may qualify for the following visa rights:
In-study work rights
Partner visitor rights
Partner work rights
Post-study work rights

Career Prospects

Data science offers promising career prospects across various industries due to the increasing importance of data-driven decision-making and digital transformation. Here are some key career prospects in data science:

1. Data Scientis
2. Data Analyst
3. Machine Learning Engineer*
4. Big Data Engineer
5. Business Intelligence (BI) Developer
6. Data Engineer
7. AI Researcher
8. Data Architect
9. Quantitative Analyst (Quant)
10. Data Consultant
11. Data Science Manager/Director
12. Research Scientist

These roles span across industries such as finance, healthcare, e-commerce, telecommunications, and more. With the rapid growth of data generation and the adoption of data-driven strategies, data science professionals are in high demand globally.

Entry requirements

– A bachelor’s degree with a major in Data Science, Computer Science, or Statistics.
– To be accepted by the head of school or nominee as capable of proceeding with the proposed course of study.

EL requirement (any one of the following)
– IELTS (Academic): Minimum overall score of 6.5, with no sub-score below 6.0
– TOEFL (Internet-based test): Minimum score of 90, with at least 20 in writing
– Pearson Test of English: Minimum score of 58, with a ‘Communicative’ score of no less than 50
– EAP: Minimum final scores of 4, 4, 5, 5
– Cambridge English Qualifications: C1 Advanced or C2 Proficiency with a score of 176 or higher, with each skill score no less than 169
– New Zealand Certificates in English Language (NZCEL): Level 5 (Academic)
– NZAPA: English New Zealand Accredited Pathway Assessment Level 3, with no skill lower than Level 2

Victoria University

Credits
180 240

Duration
1 or 2 years

Intakes

February, July

International fees
42050 for 120 points, 63050 for full programme

Location

Qualification Type

Study level