next COHORT starts - NOVEMBER 2025

Data Science & AI
industry training
program

The Data Science & AI Program is designed for IT and non-IT professionals who are interested in transitioning their careers into data science, analytics, machine learning and artificial intelligence.

Our graduates help power these companies

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Deloitte-2
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DataInsight-1
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Deloitte-2
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Overview

The Data Science & AI program, available in 24 weeks part-time or 12 weeks full-time, is designed for professionals aiming to transition into data science, analytics, machine learning and artificial intelligence.

The program includes pre-work, intensive practical training, industry award and a job outcomes program 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.

 1. The Demand for Tech Talent

The tech industry in Australia is experiencing significant growth, creating numerous job opportunities for skilled professionals in the field.

The U.S. Bureau of Labor Statistics sees strong growth in the data science field and predicts the number of jobs will increase by about 28% through 2026. 

 

Australia is expected to catch up to the US tech market in the next 3 years with the Australian data scientist salary average surging, and expected to range between $150k–$180k. 

 

The demand for tech talent is growing both in Australia and globally.

2. What is Practical Training?

Practical training is essential for preparing professionals for real-world challenges in the tech industry. Hands-on experience & learning from industry experts.

Learn from industry experts on how to tackle real-world problems.

 

Develop business solutions for companies and governments.

 

Simulate commercial projects to gain practical experience.

3. La Trobe University & Institute of Data

La Trobe University and the Institute of Data offer leading tech training programs in Australia, focusing on in-demand skills and industry-relevant certifications.

Receive an LTU Certificate of Completion upon graduating.

 

Earn an Institute of Data Industry Certification upon graduation.

 

Join 100's of professionals for career progression.

Data Science & Artificial Intelligence (AI) Program

 

Next program starts 

3rd November 2025 (Full-time)

4th November  2025 (Part-time)

With the practical training program you will...

Practical Training Program-MTU

Be ready to practice Data Science & AI

The program 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.

Practical Training Program-MTU

Receive the best training and the latest curriculum

The program 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.

Practical Training Program-MTU

Be more attractive to employers

The program results in a LTU 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.

Practical Training Program-MTU

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.

Program 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.

lecture

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.

business

Job outcomes

You will undergo a Job Outcomes Program 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.

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Post course

1000+ employers have hired our graduates.

We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

Charting a New Course: Ryan Stamp’s Journey from Digital Marketing to Data Science Triumphs

“I realised that if I wanted to enter the industry, I needed to upskill because it’d been about ten years since university, and the data space had changed significantly.

The Institute of Data certification ticked many boxes - mostly being able to complete the program part-time outside of work.”

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As a young professional, Ryan Stamp had set his sights on an overseas experience. Then the pandemic hit. Ryan shelved his overseas plans and was forced into reassessing his career. It was during this time that he rediscovered his interest in data science.

Ryan Stamp

Digital Marketing to Data Science

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 (Tableau)

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 and LLMs

Web Scraping

Text Pre-processing

Sentiment Analysis

Large Language Models

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

Generative AI and Machine Learning Deployment

Generative AI Models

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 Program

Consultation and Presentation training

Data Science Practice

Capstone Project

Download Course Outline

Gain hands-on experience in Data Science & AI.

93% job outcome success rate.
1000+ Employers have hired our certified professionals
Get certified in just 12 or 24 weeks

Frequently asked questions

Fees and Payment

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

Program Entry Requirements

  • Completion of a diploma in any field of studies
  • Completion of any previous qualification undertaken in English or obtained IELTS 5.5
  • Completion of assigned online pre-work provided to you when you enrol

Time Commitment: Part Time Program

24 weeks intensive remote or in-class training | 2 night classes per week + 1 Saturday class every other week

Time Commitment: Full Time Program

12 weeks intensive remote or in-class training | Monday-Friday

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