Level 7

Take the next step in your data science and information technology (IT) career

Learn what it takes to make sense of data and how to use it to drive innovative solutions to real-world problems from forecasting the effects of climate change to predicting health outcomes for hospital patients.

Programme highlights

Get the training to use your analytical and problem-solving skills to leverage the true value of data for organisations all over the world.

You will be well equipped for a career in this exciting and constantly changing field as you learn to design, develop and use front and back-end data manipulation, security and data warehousing processes and technologies to support decision making and solve business problems.

As well as a strong grounding in analytical, technical and theoretical concepts this degree also uses hands-on practical methods and teaches important people skills like communication and management skills.

At the culmination of this programme, you’ll be able to do a real-world project where you can apply your skills in the workplace.

    Entry requirements

    Entry requirements

    Applicants must meet the following criteria for admission into the programme:
    • Successfully completed a bachelor’s degree in any field excluding the specific graduate diploma field; or
    • Successfully completed a Level 6 or 7 Diploma and relevant work and/or life experience (equivalent to a Bachelor’s degree); or
    • Evidence of equivalent practical, professional or educational experience e.g. three-five years’ full-time work experience (relevant to ICT studies).
    English language entry requirements

    Applicants must have sufficient competence in the English language to undertake this programme which is taught and assessed in English. This will be demonstrated by meeting the current NZQA requirements.

    For the minimum English language requirements refer to: manukau.ac.nz/english-req

    Special & discretionary admission

    Any ākonga who is 20 years of age or older and has not reached the general admission requirements for their intended programme is eligible for Special Admission. Te Pūkenga works with the ākonga to ensure they are prepared for their intended programme. Any ākonga who is not yet 20 years of age and has not reached the general admission requirements for their intended programme may be eligible for Discretionary Admission. In assessing whether to grant Discretionary Admission, the delegated authority focuses on the applicant’s level of preparedness for their intended programme.

    Need IELTS?

    Book your British Council IELTS test with us.

    You will complete your test in one day, plus get free online tuition to help you succeed. We offer paper-based or computer-delivered IELTS. Choose computer-delivered IELTS and get your results in 3-5 days.

    Give yourself credit with Recognition of Prior Learning (RPL)

    Did you know you can use the knowledge and experience you already have to your advantage?

    Your previous work experience and on-the-job skills, volunteering, professional development, and other providers’ qualifications can be recognised as prior learning, matched against credits in our courses, and put towards your qualification – potentially saving you money and possibly helping you to complete your qualification faster Learn more.

    Programme structure

    Programme structure

    You will need to complete the below seven courses (120 credits):

    Level 6

    563.684 Big data analysis (15 credits)

    This course is designed to understand essential attributes, contemporary issues, opportunities, risks and challenges of big data; to explain the concepts and techniques of data integration, cleansing, processing and analysing; to design and implement a data warehouse; to understand the modelling requirement, approaches and complexities of data mining; and to create decision models and produce reports and business intelligence to support complex decision scenarios.
    Prerequisite: 564.532 Introduction to Databases;502.524 Fundamentals of Business Intelligence.

    563.685 Business statistics for decision modelling (15 credits)

    The purpose of this course is to understand, construct and apply statistical models to assist business decision-making and problem-solving; and to demonstrate an understanding of forecasting strategies, detecting trends and making predictions from regression analysis and simulation of time series data;

    563.686 Data analytics and intelligence (15 credits)

    The purpose of this course is to explain how businesses can use big data analytics to drive business growth and discover how data analytics will change the way organisations make products, market services and engage with customers; and to analyse big data sets using visualisation techniques to create decision scenarios.
    Prerequisite: 502.524 Fundamentals of Business Intelligence.

    Level 7

    563.783 Management of ICT (15 credits)

    The purpose of this course is to learn and apply appropriate frameworks, architectures, tools and techniques for analysing business and ICT infrastructure to prepare ICT strategies, policies, protocols and action plans; to align business processes with information systems processes; to prepare an ICT risk management plan, and to understand the influence of ICT innovations in organisational management;
    Prerequisite: 561.590 Business Information Systems; and 563.683 Change and Project Management in IT.

    563.784 Advanced data analytics (15 credits)

    This course focuses on designing, developing and implementing an advanced business intelligence system from a big data set using a data analytic tool. The students learn how to translate a business problem into the design of a data analysis strategy; to develop an advanced business intelligence solution that performs data manipulations using a variety of models in a selected big data analytic environment, and to critically examine and interpret the model outputs and test the performance of models;
    Prerequisite: 563.686 Data Analytics and Intelligence

    563.785 Hot topic in data analytics (15 credits)

    The purpose of this course is to apply the concepts, techniques, tools and models of big data and data analytics to create a useful solution for a given business problem in a selected industry.

    563.786 GDICT industry project (30 credits)

    The opportunity to design, implement and evaluate a project for a client by integrating the theory learnt in underpinning courses and applying this practically in an industry environment.
    Prerequisite: Level 7 courses in selected major.

    Do you want to study a single course, without enrolling into the full programme?

    Courses within some of our programmes may be offered as an individual Certificate of Proficiency (COP). Programme entry requirements and course fees apply. For more information, please speak to our friendly Ask Me! team.

    Careers and pathways

    Career opportunities

    Opportunities for employment include:

    • IT manager, web developer
    • Programmer
    • Software developer
    • Software architect
    • Systems analyst
    • Business analyst
    • Network/software support specialist
    • Multimedia developer
    • User experience designer
    • Network/database administrator
    • Business and data analytics professional
    • IT project manager (incorporating business analytics and intelligence).

    For potential salaries visit careers.govt.nz.

    Free study for the first year of your Level 3 or above qualification may be available under the government’s fees-free study scheme. Visit feesfree.govt.nz for eligibility criteria and more information. Students must be eligible to study as a domestic student. All free study is subject to funding confirmation. Proof of residency status required. Entry criteria, and some costs, may also apply. Eligibility for student allowances or student loans may vary. Contact StudyLink for more information.

    Information is correct as at 25 March 2024. 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 2024 fee structure. The indicative programme fees for 2024 do not include the Compulsory Student Services Fee (CSSF). The CSSF is an additional levy to your 2024 programme or course fees. Further information about the CSSF can be found here www.manukau.ac.nz/cssf. Programmes stated as eligible for free study in 2024 are based on the 2023 fee structure and subject to funding confirmation for 2024. 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 part of Te Pūkenga – New Zealand Institute of Skills and Technology. Te Pūkenga is accredited under the provisions of the Education and Training Act 2020. International students must study in class and will not be able to enrol for online study options.