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Graduate Diploma in Data Analytics (Level 7)

Schedule

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Duration

1 Academic Year

Delivery

Hybrid

Campus

Auckland CBD

Credits

120

Fees Domestic

$7,774

Fees International

This programme is not available for international students

Data Analytics is at the crossroads of technology, statistics, and business strategy. The New Zealand Diploma in Data Analytics (Level 7) is designed to equip you with the analytical and technical expertise to collect, clean, and interpret data from diverse sources — enabling organisations to improve productivity, efficiency, and decision-making. Through practical, hands-on data analytics projects and collaborative learning, you’ll gain in-demand skills in Python, R, SQL, statistical analysis, machine learning, and business intelligence tools. Graduates of this Data Analytics programme will be ready to turn complex datasets into actionable insights that drive business growth and strategic success in New Zealand and beyond.

GDDA604 – Data Collection and Analysis

This course will provide students the knowledge to utilise various methods of collecting data from a wide range of sources. Students will explore different ways of transforming, analysing, and interpreting data to make data-driven business decisions.

Technology used:
Python, SQL

GDDA612 – Data Transformation and Management

This course equips students with the skills to collect, clean, and transform data from various sources, preparing it for processing. Students will learn to import pre-processed data into data stores, query and manipulate data sets, and export data in appropriate formats for further use.

Technology used:
Python, SQL/NoSQl, BeautifulSoup, Scrapy, or Selenium

GDDA707 – Advanced Data Engineering

This course provides the skills to examine and apply data-modeling technologies, relational and non-relational data models, extraction, transformation, and loading (ETL) operations, and data engineering on big data platforms.

Technology used:
Python, SQL, ETL, Cassandra, Hive, MongoDB, Apache Hadoop ecosystem (HDFS, Yarn, Zookeeper, Kafka, Spark)

GDDA708 – Machine Learning and AI

This course provides students with the knowledge and skills to apply supervised and unsupervised machine learning algorithms in Artificial Intelligence (AI). Students will learn to evaluate and optimise these algorithms to improve business decisions and AI-based applications.

Technology used:
Python, TensorFlow, Scikit-learn

GDDA709 – Big Data Analytics

This course provides the opportunity to investigate, evaluate and implement different big data technologies.

Technology used:
Hadoop, Yarn, HDFS, MapReduce, Hive, Apache Spark, Machine learning, Spark Machine Learning libraries

GDDA713 – Capstone Project

The Capstone Project allows students to apply critical thinking, creativity, problem-solving, communication, and technical skills to solve a real-world problem. It showcases their industry knowledge and abilities, addressing a client brief and fulfilling the graduate profile outcomes.

Technology used:
SQL, Python, AI and Machine Learning, Big data analytics, Statistical models

GDDA716 – Emerging Trends and Technologies in Data Analytics

This course provides students with an opportunity to explore emerging trends and technologies in the field of data analytics. Students will apply research methodologies, analyse issues surrounding the trends and technologies, conduct SWOT analysis for applicability to a business to produce research output, and communicate research outputs to technical or non-technical audiences.

For International Students
Applicants must hold a relevant and recognised Degree Level qualification equivalent to at least 360 credits at NZQA Level 7 or equivalent. Applicants aged 20 years or above who have not met the General Admission and Entry Requirements may be eligible for special admission. Talk to us if you want to know more
International English Language Test System (IELTS) Academic score of 6.0 with no individual band score lower than 5.5; or equivalent
Hold a valid study visa

Data Analyst
Database Developer Administrator
Social Media Data Analyst
Quantitative Analyst
Marketing Data Analyst
Business Intelligence Analyst

Gain access to Higher level study at our Partner Universities*

Take your data career to new heights

You’ll complete a capstone project that challenges you to apply your critical thinking, creativity, and technical skills to solve a real-world business problem. This hands-on experience, combined with the comprehensive knowledge gained throughout the programme, prepares you for a wide range of roles including Data Analyst, Business Intelligence Analyst, Marketing Data Analyst, Machine Learning Analyst, and Data Warehouse Engineer. Graduates leave equipped to turn complex data into actionable insights that are highly sought after across industries.

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Schedule and Fees

Auckland CBD

Start Date

End Date

Fees *(GST inclusive)

NZD $7,774

Payment options

Pay in 2 instalments of ——— per certification; or
‍Weekly payment options available to ——–.

Join our alumni network
Create a job-ready portfolio
Learn from industry experts
Live classes
NZQA Certified
Gain project experience
Weekly payment options
10-weeks mentored work experience

This programme is not available for international students.

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Further Study Options

Pathways to graduate and post-graduate programmes at universities, in New Zealand or overseas, or to Te Pūkenga or Private Training Establishments (PTEs) in New Zealand.

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