IELTS, Score of 6.5 in the academic module (with no individual band below 6.0)
Internet-based TOEFL, Score of 95 with a minimum writing score of 22 . The University of Otago TOEFL institution code is: 9483
(Please note we do not accept MyBest TOEFL scores)
Paper-based TOEFL, score of 587 (TWE 4.5) The University of Otago TOEFL institution code is: 9483
Cambridge Certificate in Advanced English (CAE), Minimum of 176
Cambridge Certificate of Proficiency in English (CPE), Minimum of 176
Pearson Test of English (PTE) Academic, Overall score of 64 with no communicative skills score below 57
LanguageCert, International ESOL: C1 Expert (LRWS) with a high pass overall and no less than a pass in each skill OR C2 Mastery (LRWS) with a pass overall and no less than a pass in each skill
University of Otago Language Centre ‘English for Otago’, English for Postgraduate Academic Purposes (EPAP), Grade C or higher
University of Auckland English Language Academy (ELA) pathway programmes, Successful completion of the English Pathway for Postgraduate Studies (EPPS) with a B Grade
University of Auckland Foundation Certificate in English for Academic Purposes (FCertEAP), Successful completion of the certificate with a B Grade
The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).
The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.
With more and more data being captured, there is growing need for people with the skills to manage large data collections, and make use of them through a range of data analysis techniques. It has been said that “data is the raw material of the 21st century”.
The Master of Business Data Science (MBusDataSc) is an interdisciplinary programme that encompasses understanding how data can be used in a business context, how large data sets can be managed, and how data can be analysed. The programme will also develop students’ skills in data analysis techniques and computing.
Graduates of the MBusDataSc will have advanced knowledge in areas including: understanding of opportunities for applying data analysis in business, awareness of ethical and privacy issues and mitigation approaches, understanding of technologies for managing large data sets and the ability to select and apply appropriate technologies, and an understanding of different techniques for analysing data and the ability to select and apply appropriate techniques.
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The three years curriculum comprises 2 phases:
Overseas Student Health Cover: 700 NZD per year