Data Science Major - Bachelor of Computer and Information Sciences

Computer Science

A course by

AUT

Gain a Bachelor of Computer and Information Sciences degree majoring in Data Science at AUT. This programme equips you with skills in computing, machine learning, statistical modelling, and data-driven solution design for roles such as data analyst, data scientist, and data engineer.

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Interested in this course? Enquire now for Domestic & International pricing


This course starts anytime

NZQA Level 7 Certification (360 Credits)

Study Level

Advanced

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In-person study

Face-to-face learning in a physical classroom setting

City Campus, Auckland

It will take a total of 3 years


Core skills this course teaches


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Master core computing concepts

Develop foundational knowledge in programming, mathematics for computing, database systems, and IT project management.

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Analyse and interpret data

Use modern data analysis tools and techniques to extract insights from data and apply basic data analytics.

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Apply statistical and forecasting techniques

Utilise statistics for data science and forecasting methods to model and predict future trends.

What You're Signing Up For

The Data Science major within AUT's Bachelor of Computer and Information Sciences provides the skills necessary for careers in the growing field of data science. Students learn to manage, analyse, and extract insights from large and complex data sets, using advanced methods such as machine learning, statistical modelling, and data mining. The programme covers foundational computing knowledge, data analytics techniques, and builds up to advanced topics such as artificial intelligence and knowledge engineering, culminating in a research and development project with an industry or research partner.

Course Content

  • Programming Concepts and Techniques
  • Computing Technology in Society
  • IT Project Management
  • Database System Design
  • Collaborative Practices/Mahitahi
  • Mathematics for Computing
  • Data Analysis
  • Foundations of Data Science
  • Statistics for Data Science
  • Forecasting
  • Data Structures and Algorithms or Combinatorics and Graph Theory
  • Artificial Intelligence
  • Data Mining and Knowledge Engineering
  • Text and Vision or Nature Inspired Computing
  • Work-integrated Research and Development Project

What you need to know first

University Entrance or equivalent

Preferred: Calculus, Digital Technologies, Mathematics, or Statistics

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What sort of industry will this job lead to

  • Information Technology

  • Data Science

  • Business Intelligence

  • Technology

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Future employment opportunities might be

  • Data analyst

  • Data scientist

  • Data engineer