Master of Applied Technologies (Level 9) (Strands in Data Analytics and Cyber Security) in Auckland New Zealand | Manukau Institute of Technology

Manukau Institute of Technology | Auckland New Zealand
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
NZD 30,500
(c. USD17,882.15)
Attendance
Full-time

High-level problem solvers are needed to keep up with the constantly evolving IT industry. Designed in conjunction with industry experts this programme will provide you with the tools and knowledge to solve tomorrow’s complex IT problems. With blended delivery, this programme is perfect if you’re wanting to earn and learn. Study online and attend group sessions with your peers and a facilitatorsubject expert. Studying part-time gives you the opportunity to be working in industry while completing your studies. You will undertake an applied research project that is connected to your own practice and industry experience. You can choose a specialist strand in: Data analytics or Cyber security.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.0

Qualification Requirements

Applicants must have one of the following, or equivalent:

For direct entry into the final applied research project:

  • Bachelor honours degree in a relevant discipline; or
  • Postgraduate diploma in a relevant discipline; or

For entry into the Master of Applied Technologies by coursework and applied research project:

  • A recognised bachelor degree in a relevant discipline, with merit achievement, deemed to be an average grade of B or higher in all final-year courses*. Candidates with a B- or better average grade may be admitted to the Postgraduate Diploma in Applied Technology, and may be allowed to continue to the applied research project upon attaining an average grade of B or better; or
  • A professional qualification in a relevant discipline, recognised as being equivalent to merit achievement in a bachelor degree and documentary evidence of outcomes in the discipline work environment to demonstrate an ability to perform in the programme and commit to achieving its outcomes, including recommendations from employers or professional colleagues.

*For Data Analytics pathways, the candidate’s previous qualification should be in an area related to either Data Science, Data Analytics, Computer Science, Software Engineering, Information Systems, Computer Engineering, Machine Learning, or Business Intelligence. Graduates of other disciplines may be accepted on a case-by-case basis and upon approval from the School of Digital Technologies.

IELTS test: Academic score of 6.5 with no band score lower than 6.0; TOEFL Paper-based test (pBT): Score of 590 (with an essay score of 5.5 TWE); TOEFL Internet-based test (iBT): Score of 79 (with a writing score of 21); Cambridge English Examinations: C1 Advanced or C2 Proficiency with a score of 176. No less than 169 in each skill.

Tuition NZD 30,500

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