Data Science and Artificial Intelligence Program.
Designed for IT and non-IT professionals who want to transition their career into data science, analytics, machine learning and artificial intelligence. 24 weeks part-time or 12 weeks full-time.
Built for real-world practice.
The Data Science & AI program is designed for professionals aiming to transition into data science, analytics, machine learning and artificial intelligence. The program includes pre-work, intensive practical training, an industry award and a job-outcomes program in collaboration with industry partners.
Course content is tailored to give you the skills demanded by businesses in today’s rapidly evolving job market — with cohorts running every 3–6 months.
Graduate ready to work.
Be ready to practice Data Science & AI
The program prepares students for real commercial work in data science, AI and big data — focused on practical in-class training, labs and real-life projects.
Receive the best training and the latest curriculum
Program trainers are actively working in the industry. The curriculum is developed by the Institute of Data Academic Committee with decades of experience in the data science industry.
Get more support and guidance
Join a valuable industry network with peers and mentors from your cohort. Dedicated career coaches guide you on how to connect with employers through targeted engagement, applications, and networking.
Be more attractive to employers
The program results in a Kodora AI Academy Certificate of Completion and an Institute of Data Industry Certification — signalling to employers that you are ready to join the industry.
Pre-work, classroom training, capstone, and job outcomes.
Pre-work
Curated online learning prepares every student with the required skills and knowledge to complete coursework and training.
In-class training
Professional classroom course led by expert industry trainers from leading consultancies and enterprises — the most sought-after practical training in the country.
Job outcomes
Position yourself for the best chance of a new job opportunity and/or internal promotion, with career coaches and access to our hiring network. 93% success rate within 180 days.
Competency-based assessment. No formal exam.
Competency is assessed through labs and a final capstone project — a real-life project assessed against standards set by the Academic Committee.
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
- Critical thinking training
Databases and APIs
- Relational and non-relational databases
- SQL
- Application Programming Interfaces (APIs)
Machine Learning — Supervised Learning
- Regression: feature modelling, evaluating regression models, overfitting and regularisation
- Classification: logistic regression, evaluating classification models, support vector machines, Bayesian inference
Machine Learning — Unsupervised Learning
- K-means clustering
- Principal components analysis
- Research & documentation training
Decision Trees and Ensemble Methods
- Decision trees
- Random forests
- Bias and variance
- Bagging, boosting, stacking
Natural Language Processing and LLMs
- Web scraping
- Text pre-processing
- Sentiment analysis
- Large language models
- Presentation skills training
Artificial Intelligence and Deep Learning
- Introduction to artificial intelligence
- Reinforcement learning
- Deep feedforward, recurrent and convolutional neural networks
Generative AI and ML Deployment
- Generative AI models
- Deployment of machine learning models
- Cluster computing, streaming data
- Storytelling training
Capstone Project and Job Outcomes Program
- Capstone project
- Consultation and presentation training
- Ongoing data science practice
- Job outcomes program
Entry requirements & time commitment.
Entry requirements
- Completion of a diploma in any field of studies
- Previous qualification in English or IELTS 5.5
- Completion of assigned online pre-work
Part-time program
- 24 weeks intensive remote or in-class training
- 2 night classes per week
- + 1 Saturday class every other week
Full-time program
- 12 weeks intensive remote or in-class training
- Monday – Friday
Frequently asked questions.
Start your application today.
Free · No obligation · No sales pressure