Master of Science Data Analytics

Master big data methodologies to find valuable trends and patterns buried in complex datasets using machine learning. Students learn data mining tools, machine learning methods, and big data concepts, applying theory to real datasets using Hadoop, KNIME, PostgreSQL, Python, and Tableau.

[Masters] Academic Requirement: Applicants need to hold a Second-Class Honours equivalent degree in a relevant subject, or possess equivalent professional experience and/or qualifications with a minimum of 60%.Alternatively, an equivalent recognised Bachelor's degree in a relevant subject may be considered and will be assessed on a case-by-case basis. | [Masters] English Language Requirement : ✅ PTE: Overall 50 with no band less than 50✅ TOEFL iBT: Overall 73 with no section less than 18✅ IELTS: Overall 6 with no band less than 6*Note: English proficiency requirements may vary from program to program | [Bachelors] Academic Requirement: Applicants need to have completed a Kaplan Diploma, Polytechnic Diploma, or other Private Diplomas or Foreign Qualifications with a minimum of 60%. All qualifications will be assessed on a case-by-case basis. | [Bachelors] English Language Proficiency Requirement: ✅ PTE: An overall score of 51 is accepted✅ TOEFL iBT: An overall score of 71 is required✅ I