Postgraduate Diploma in Applied Technologies (Level 8)*

(Strands in Data Analytics and Cyber Security)

*Pending approval

Programme highlights

Want to gain or advance your skills and knowledge in cybersecurity or data analytics?

Whether you are already working in the industry and looking to upskill or if you want to add specialist skills to an existing qualification this postgraduate diploma will provide you with in-depth knowledge to solve tomorrow’s complex IT problems.

You can choose a specialist strand in:

  • Data Analytics or
  • Cyber Security.

You will also undertake an applied project that is connected to your own practice and industry experience.

This programme has been designed in conjunction with industry experts so what you learn is relevant in the workplace. We also offer flexible study options so you can work and study at the same time.

Key facts

Start Month(s) May, July, October
Study Location(s) MIT Manukau
Level 8
Domestic fees Enquire upon application
Youth Guarantee Not Available
Programme Code *Pending approval

32 weeks full-time (excluding holiday weeks) or part-time

Study Method Full-time, Part-time
Credits 120
International Fees Enquire upon application
Māori and Pasifika Trades Training Scholarship Not Available
Qualification Post Graduate Diploma

MIT degree grads earn more*

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*Recently analysed government data shows that MIT degree holders have the highest employment rates and among the highest median earnings in the country five years after finishing their degrees. View the full report at

Entry requirements

Academic requirements:

To be admitted to this programme an applicant must meet the following requirements:

Applicants must have one of the following, or equivalent:

  • A recognised bachelor degree in a relevant discipline, with merit achievement, deemed to be an average grade of B- (65%) or higher in all level 7 courses*; 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.

English Language Requirements:
Applicants must have sufficient competence in the English language to undertake this programme, which is taught and assessed in English.  
International students: English Language Entry Requirements

For the minimum English language requirements refer to the requirements set out in the NZQF Programme and Accreditation Rules

Selection Criteria:
Applicants will be selected in order of successful application.

Exceptions to entry:
An applicant may be considered for special admission if they have:

  • An undergraduate degree in an unrelated discipline, with merit achievement, and have a minimum of two years’ appropriate work experience that is relevant to the aims of this qualification;
  • A graduate diploma qualification in the same or similar discipline, with a B- grade average or better, and has a minimum of two years’ appropriate work experience.

Provisional Entry

Students who have attained the age of 20 years and do not hold the minimum entry requirements for a programme will be eligible to be enrolled as a student where their previous educational, work or life experience indicates they have a reasonable likelihood of success. Students who have not attained the age of 20 years and do not hold the required minimum entry requirements for a programme may also be eligible to enrol in exceptional circumstances. Such decisions will be made by the Director/Head of School.

International students

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Career opportunities

Opportunities for employment include:

Data analytics

  • Business analyst
  • Business intelligence analyst
  • Data insight analyst
  • Big data engineer
  • Marketing analyst
  • Research analyst
  • Business performance analyst
  • Data or fraud analyst
  • Project coordinator
  • Data engineer/scientist
  • Data warehouse analyst
  • Quantitative analyst.

Cyber security

  • Fraud analyst
  • Digital forensic analyst
  • Incident analyst
  • Information assurance analyst
  • Malware analyst
  • Network forensic analyst
  • Operations analyst
  • Security administrator/consultant/developer.

Programme structure

You will need to complete two compulsory courses and one elective course (60 credits):

Compulsory courses

Research Methods in Applied Technologies (15 credits)

Learn research skills in your chosen field of applied technologies. This may include: literature reviews, writing research proposals, formulating research questions or hypotheses, and applying methods that answer research questions.

Applied Project (30 credits)

Critically analyse applied technologies through the lens of your chosen pathway. You will devise and conduct a small applied technologies-based investigative project in a practice-based learning environment through industry-relevant learning, or through a project aligned to your area of interest.

Elective courses

Design Thinking and Innovation (15 credits)

Learn the basic principles of right-brain thinking in order to access and leverage your ‘inner-designer’.

After a range of introductory exercises in creative thinking styles and behaviours, you will learn the basic stages of a design process. You will use a selection of design tools and methods so you can experience the typical elements in a design life cycle. These include:

  • Discovery
  • Interpretation
  • Ideation
  • Experimentation
  • Evolution.

Principles of User Experience Design (15 credits)

Learn the skills to analyse and evaluate the foundational principles, tools and best practices for the design of content and user experience across a range of applied technologies. Gain a holistic understanding of UX design, through a range of teaching methodologies and application in practice.

Plus, you will also need to complete one compulsory and one elective course from your chosen strand (60 credits):

Data Analytics strand

You will need to complete the below compulsory courses as well as one elective course related to your strand.

Compulsory strand courses

Data Analytics and Intelligence (15 credits)

Learn how data analytics create organisational values and learn how to demonstrate visual representation of big data sets for exploring business intelligence and opportunities.

Data Warehousing and Big Data (15 credits)

Understand the concept and challenges of big data, design and implementation of a data warehouse, and create sophisticated decision models and scenarios.

Advanced Data Analytics (15 credits)

Design, develop and implement an advanced Data Analytics system from a big data set using a data analytics tool.

Elective strand courses

Database Application Development (15 credits)

Design and develop a transaction management database applications using a mainstream platform and object library to present and manipulate data stored in a relational database, and to process data and generate reports.

Analytics Research Topic (15 credits)

Engage in self-study and research on a specified topic in your area of specialisation and present the outcomes of your research to a target audience in both written and presented formats.

Cyber Security strand

You will need to complete the below compulsory courses as well as one elective course related to your strand.

Compulsory strand courses

Cyber Security Concepts and Practice (15 credits)

Analyse real-world cybersecurity challenges that organisations face, and address them through current systems and processes.

Cryptography and Information Security (15 credits)

Get an introduction to modern cryptographic techniques in the context of information security in the workplace. You will develop an understanding of the different types of cryptosystems available, the practical issues of applying cryptographic methods and key issues in the management of information security.

Cyber Security Business and Data (15 credits)

Learn to negotiate the constantly changing use of data and information in a business environment that requires constant and ongoing cybersecurity awareness and attention. You will have access to live environments in which to practice offensive and defensive protection in a simulated environment.

Elective strand courses

Cyber Law (15 credits)

Analyse local and international laws regarding issues around cybersecurity as well as short and long term impact.

Cyber Security Research Topic (15 credits)

Engage in self-study and research on a specified topic in your area of specialisation and present the outcomes of your research to a target audience in both written and presented formats.

Key dates

To find the start date of your programme intake listed above, please view the MIT calendar and key dates.

Information is correct as at October 2019. Programme fees are based on a full-time student and may vary depending on your final selection of courses that make up your programme. To provide you with an indication of costs, the approximate fees quoted in this publication are based on the indicative 2020 fee structure. The indicative programme fees for 2020 do not include the Compulsory Student Services Fee (CSSF). The CSSF is an additional levy to your 2020 programme or course fees. Further information about the CSSF can be found here Programmes stated as eligible for free study in 2020 are based on the 2019 fee structure and subject to funding confirmation for 2020. All fees are in New Zealand Dollars. You will be advised of the current fees at the time of enrolment. All courses and programmes will proceed subject to numbers and academic approval. Manukau Institute of Technology is accredited under the provisions of the Education Act 1989. International students must study in class and will not be able to enrol for online study options.