Overview

The Data Science & AI Programme can be taken in either 24 weeks part time or 12 weeks full time and is designed for career-driven professionals to transition into the big data and AI industry. The programme includes pre-work, intensive practical training, industry certification and a job outcomes programme in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.

Remote learning is available for this programme. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer to peer collaboration and instructor support.

Discuss with a Career Consultant

You can schedule a call with a Career Consultant to discuss this course.

THE DEMAND FOR TECH TALENT

The opportunity is massive in Aotearoa New Zealand and around the world. According to the Digital Skills Aotearoa Report, local tech companies have been creating approximately 2,000 new jobs a year on average for the past 10 years. In 2019, 555 new companies were created in the NZ tech sector alone, up three percent from 2018.

What is Practical Data Science Training?

Practical data science training is an essential requirement to practice as a Data Scientist or Data Analyst in Aotearoa New Zealand. Learn from industry experts on how to apply machine learning and AI techniques for businesses and government organisations including business consulting and simulating commercial projects. This means you will be ready to work as a Data Scientist or Data Analyst.

University of Canterbury's Tuihono UC Online & Institute of Data

Welcome to the Tuihono UC | UC Online and Institute of Data's most in-demand data science training programme.

Learn how to create predictive models by learning to wrangle, analyse, visualise, predict and find insight into data alongside the best data science trainers in Aotearoa New Zealand.

The Data Science & AI Programme is a structured training course designed to help you develop the practical skills you will need as a Data Scientist or Data Analyst. After completing your Data Science & AI Programme, you will receive a Data Science & AI Certificate of Completion from University of Canterbury's Tuihono UC Online and an Institute of Data® Industry Certification.

Hundreds of professionals choose the Institute of Data every year to prepare them for their future career after careful consideration of their desired career progression and to attain maximum return on investment for their education. Leading the future of the profession, the Institute of Data offers a collaborative and successful programme, driven to ensure you have the best start to your career.

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Data Science & Artificial Intelligence (AI) Programme 

The next programme starts

17 February 2025 (Full-time)

17 February 2025 (Part-time)



With the practical training programme you will...

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Be ready to practice data science

The programme is designed to prepare students for real commercial work in the area of data science, AI and big data. It is focused on practical in-class training, labs and real-life projects.

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Receive the best training and the latest curriculum

The programme trainers are actively working in the industry and will teach you how to practice data science and advanced analytics. The curriculum is developed by the Institute of Data Academic Committee with decades of experience working in the Data Science Industry.

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Be more attractive to employers

The programme results in the University of Canterbury's Tuihono UC Online Data Science & AI Certificate of Completion and an Institute of Data® Industry Certification which signals to employers that you are ready to join the industry. Your resume and profile will be reviewed by our Job Outcomes team to give you the best possible chance of success.

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Get more support and guidance

Join a valuable industry network with peers and mentors from your cohort. Our dedicated career coaches will guide you on how to effectively connect with employers through targeted industry engagement, job applications, and by participating in industry networking events.

Programme structure

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Pre-work

Students complete curated pre-work as an interactive online learning experience designed to prepare every student with the required skills and knowledge to complete all coursework and training.

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Remote or In Class Training

Students undertake a professional in-classroom course from a team of expert industry trainers from leading consultancies and enterprises to acquire the most sought-after practical training in the country.

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Job outcomes

You will undergo a Job Outcomes Programme which will help position you for the best chance of a new job opportunity and/or internal promotion. Land a job in one of the most sought after fields in tech with the guidance of professional career coaches and access to our hiring network.

How will I be assessed?

The programme uses competency-based assessment through the completion of labs and a final capstone project. There is no formal exam. The capstone project is a real-life project and is assessed against the competency-based assessment standards set by the Academic Committee.

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Industry Partners & Contacts


Post course

We'll help you transition into the big data, data science and artificial intelligence industry. We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

Syllabus Breakdown

Mathematics, Statistics and Programming for Data Science
  • Course Introduction and Overview
  • Programming Fundamentals for Data Science
  • Math & Statistics Fundamentals for Data Science
  • Data Science Practice (ongoing)
Exploratory Data Analysis and Data Science Practices
  • Data Cleaning and Quality Assessment
  • Data Visualisation
  • Statistical Testing
  • Succeeding as a Data Scientist in Industry
  • Mini Project 1 – Data Science Practice
  • Critical Thinking Training
Databases and APIs
  • Relational and Non-Relational Databases
  • SQL
  • Application Programming Interfaces (APIs)
  • Data Science Practice (ongoing)
Machine Learning - Supervised Learning - Regression
  • Introduction to Machine Learning
  • Feature Modelling
  • Evaluating Regression Models
  • Overfitting and Regularisation
  • Questioning Technique Training
Machine Learning - Supervised Learning - Classification
  • Logistic Regression
  • Evaluating Classification Models
  • Support Vector Machines
  • Bayesian Inference
  • Data Science Practice (ongoing)
Machine Learning - Unsupervised Learning
  • K-means Clustering
  • Principal Components Analysis
  • Research and Documentation Training
  • Mini Project 2 – Data Science Practice
Decision Trees and Ensemble Methods
  • Decision Trees
  • Random Forests
  • Bias and Variance
  • Bagging
  • Boosting
  • Stacking
  • Data Science Practice (ongoing)
Natural Language Processing (NLP)
  • Web Scraping
  • Text Pre-processing
  • Sentiment Analysis
  • Text Classification
  • Presentation Skills Training
  • Data Science Practice (ongoing)
Artificial Intelligence and Deep Learning
  • Introduction to Artificial Intelligence
  • Reinforcement Learning
  • Deep Feedforward Neural Networks
  • Recurrent Neural Networks
  • Convolutional Neural Networks
  • Mini Project 3 – Data Science Practice
Machine Learning Deployment and Cloud Computing
  • Introduction to Cloud Computing
  • Deployment of Machine Learning Models
  • Cluster Computing
  • Streaming Data
  • Storytelling Training
  • Capstone Project
Ongoing Modules
Additional Topics: Determined by Students and Lead Trainer
  • Job Outcomes Programme
  • Consultation and Presentation training
  • Data Science Practice
  • Capstone Project

FAQs

Fees and Payment

Speak to a career consultant about fee and fee support details.

Programme Entry Requirements
  • Bachelor degree in any field of studies
  • Any previous qualification undertaken in English or obtained IELTS 5.5
  • Complete the assigned online pre-work provided to you when you enrol
Time Commitment: Part Time Programme
24 weeks intensive remote training | 2 night classes per week + 1 fortnightly Saturday class
Time Commitment: Full Time Programme
12 weeks intensive remote training | Monday-Friday
Location
Remote
University of Canterbury Private Bag 4800
Christchurch 8140 New Zealand

Programme Partner of
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