Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer, and AI/ML Research Associate are the positions this program is designed to prepare you for. All of them draw on a shared foundation — Python for building models, SQL for retrieving data, statistics for assessing results, and a BI tool for presenting findings — yet they vary in how much time is devoted to modelling, to data infrastructure, and to communicating with stakeholders.
| Role |
Core Tools |
| Data Scientist |
Python, SQL, Scikit-learn, TensorFlow, Power BI |
| ML Engineer |
Python, TensorFlow, Docker, MLflow, FastAPI |
| Data Analyst |
SQL, Excel, Python, Power BI |
| Business Intelligence Analyst |
Power BI, Tableau, SQL, DAX |
| Data Engineer |
SQL, Python, ETL tools, cloud data platforms |
| AI/ML Research Associate |
Python, PyTorch/TensorFlow, NLP libraries |
Typically, graduates begin their careers as Data Scientists, Data Analysts, or ML Engineers, and then narrow their focus after gaining two to four years of experience, once they have taken ownership of a few complete modelling or deployment projects.