Data fluency
Collect, clean, explore, and communicate insights with professional analytical rigor.
DSAI
Data Science & AI
The Faculty of Data Science & AI trains professionals who turn data into decisions — from analytics and visualization to machine learning systems that create business value.
Faculty profile
About Data Science & AI
The Faculty of Data Science & AI trains professionals who turn data into decisions — from analytics and visualization to machine learning systems that create business value.
What you will master
A curriculum designed around the skills employers hire for — not abstract theory alone.
Applied ML
Build practical models and evaluate them against real business and product goals.
AI systems thinking
Connect models to pipelines, APIs, and responsible deployment practices.
Career pathways
Graduates from this faculty commonly progress into roles such as:
- Data Analyst
- Junior Data Scientist
- ML Associate
- Business Intelligence Analyst
- AI Product Analyst
How learning works
A clear learning experience from first lesson to verifiable credential.
Learning format
Notebooks, datasets, and guided projects with mentor feedback loops.
Assessment
Analytical assignments, model evaluations, and a portfolio-ready capstone.
Credential
Graduate with a Randatech certificate that can be verified instantly.
Departments
Specialist units within this faculty that shape curriculum depth and delivery.
General Studies
Core pathways within Data Science & AI.
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