Institute of Technology or Polytechnic

Ara Institute of Canterbury
Ara Institute of Canterbury logo

Bachelor of Information and Communications Technologies (Data Engineering)

This course is available

On-Campus

Level of Study

Bachelor's Degree

Duration

3 years

Next start date

Expected Feb 2027

Campus

Christchurch - City Campus

Visit provider website

Summary

The Data Engineering pathway provides the high-level technical expertise required to design, build and maintain the complex "plumbing" of the modern digital economy. While data scientists find insights, data engineers build the systems that make those insights possible.

During your studies you’ll master the technologies and practices required to manage massive datasets, ensuring data is accessible, high-quality and secure. The programme covers the full data lifecycle from collection and storage to sophisticated transformation, visualisation and pipeline automation.

Crucially, you’ll explore these technical skills within the unique context of Aotearoa New Zealand, mastering data governance, AI ethics, and Māori data sovereignty to ensure your technical solutions are socially responsible and culturally grounded.

Key highlights
  • Build high‑demand industry skills in one of the fastest‑growing areas of ICT
  • Gain hands-on experience with industry leading platforms (AWS, Azure, Google Cloud)
  • Work with real data systems used to store, process and analyse large datasets
  • Master the “DataOps” required to fuel machine learning and AI models
  • Become an expert in responsible data handling, addressing AI bias and data privacy
  • Gain real-world experience in your final year through a work-integrated learning project, where you’ll apply your skills in an industry setting
What you’ll learn (technical competencies)
  • Designing automated ETL (Extract, Transform, Load) and ELT workflows
  • Database design and advanced database concepts like SQL, NoSQL, and NewSQL architecture
  • Working with distributed computing frameworks like Spark or Hadoop
  • Cloud computing and distributed systems
  • Artificial intelligence and machine learning
  • Data-driven decision making
  • Data governance and ethical data practices

Entry criteria

Academic Requirements

University Entrance as specified by the New Zealand Qualifications Authority (NZQA)

OR New Zealand Certificate in Study and Employment Pathways (Level 4) Construction and ICT Pathway

OR a qualification on the New Zealand Qualifications Framework at Level 4 or above in a related discipline.

If you have undertaken examinations other than NCEA (e.g. International Baccalaureate, Cambridge Examination), Ara will assess your qualification for academic entry equivalency.

Alternative Requirements

Still want to study but don't meet the Academic Requirements?

If you show that you have equivalent skills for tertiary study gained through study, work and/or life experience, you may be able to gain alternative entry.

This may include Recognition of Prior Learning, please contact Ara for advice.

English Requirements

What if English is not my first Language?

If English is not your first language, we want to make sure that you will be successful in your chosen programme of study.

  • Please provide a result from a test or qualification on the acceptable alternatives
    • English Proficiency Outcomes Chart.
  • If you are a New Zealand Citizen or Permanent Resident, complete an Admission and Enrolment form and Ara will contact you regarding a free assessment.

What if I have achieved New Zealand University Entrance?

If you have achieved New Zealand University Entrance requirements, you are not required to provide evidence of English language skills.

Selection Requirements

Applicants who meet the entry requirements will be accepted into the programme in the order that completed applications are received.

Share this course

Share this course

Disclaimer