Postgraduate Certificate in Applied Technologies (Level 8)*

(Strands in Data Analytics and Cyber Security)

*Pending approval

Programme highlights

Are you looking to take the next-step in your IT career? Or want to boost your IT knowledge and qualifications before you start working?

Get skilled up with our digital technologies post graduate certificate in just 16 weeks.

This programme will provide you with specialist skills and knowledge so you can go confidently into the workforce or expand on your existing industry experience.

You can choose a specialist strand in:

  • Data Analytics or
  • Cyber Security.

This programme is designed in conjunction with industry experts so what you learn is relevant in the workplace.

Upon successful completion of this programme you could pathway into the diploma in applied technologies in only 16 weeks.

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

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

Study Method Full-time, Part-time
Credits 60
International Fees Enquire upon application
Māori and Pasifika Trades Training Scholarship Not Available
Qualification Post Graduate Certificate

MIT degree grads earn more*

Recently analysed Government data shows that MIT degree holders have the highest employment rates in the country five years after finishing their degrees. They can also expect to be among the best paid. Explore your study options and become one of MIT grads who earn more.

*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.

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

Test your English level to help you plan.

Take our free online English test to get a basic indication of your English level. This will help you understand what programmes you can apply for and what preparation you may require before you start your programme of study.


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Career opportunities

Opportunities for employment include:

Data analytics

  • Data insight analyst
  • Big data engineer
  • Project coordinator
  • Data scientist.

Cyber security

  • Security administrator
  • Developer/engineer
  • Incident handler
  • Security developer/engineer.

Programme structure

You will need to complete the below compulsory course (15 credits):

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.

Plus, you will also need to complete two compulsory courses and one elective course from your chosen strand (45 credits):

Data Analytics strand

Compulsory 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.

Elective 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

Compulsory 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.

Elective courses

Cyber Law (15 credits)

Analyse local and international laws regarding issues around cyber security 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.