Admissions open — 2026 / 2027
Three years of building things that work — from your first line of Python to models running in production. In the final year you apply it where IIFA already teaches: game, film, interiors, animation and fashion.
Data science is the work of turning raw, messy records into an answer someone can decide on — collecting it, cleaning it, modelling it, and presenting it so the result is understood by people who will never read the code.
The diploma runs that whole chain. You start with Python, statistics and SQL, move through machine learning and deep learning, and finish by putting a model somewhere it can actually be used — behind an API, in a dashboard, or inside a production pipeline.
What makes this course different is the last year. IIFA is a design and media college, so instead of ending on generic business case studies, semesters V and VI put artificial intelligence to work in the studios next door: agent behaviour for game design, computer vision for animation and VFX, generative layout for interiors, trend forecasting for fashion, and edit assistance for film. You leave with a portfolio, not just a transcript.
Thirty-six subjects, coded DSA 101 to DSA 606. The first two years build computing, mathematics, statistics and data systems; the third applies them to IIFA studio briefs, an eight-week internship and a major project. Roughly 40% theory to 60% practical and studio work.
Computing, mathematics and data
Outcome A documented data summary and a simple working program — the first portfolio entry.
Data preparation and analysis
Outcome A full analysis project: collection, cleaning, SQL queries, visualisation and interpretation.
Machine learning and data systems
Outcome A tested machine learning project with a data pipeline, dashboard and evaluation report.
Deep learning and artificial intelligence applications
Outcome A working application with a defensible evaluation, an interface and documented limits.
Artificial intelligence for multimedia and creative industries
Outcome An IIFA creative-technology prototype with a baseline comparison and a plan for semester six.
Industry practice and creative products
Outcome A completed internship, a deployed creative product and an evidence-based technical portfolio.
One language runs through the whole course, but the libraries around it change by the year — so the emphasis is on being able to pick up a new one, not on memorising the current favourite.
Python
NumPy
Pandas
Jupyter
Git
scikit-learn
TensorFlow
Keras
PyTorch
XGBoost
Hugging Face
OpenCV
spaCy
Matplotlib
Seaborn
Plotly
Power BI
Tableau
Streamlit
Apache Spark
PostgreSQL
MongoDB
Flask
FastAPI
Docker
Linux
Every industry that produces records now wants someone who can read them — and the studios, agencies and retailers IIFA already places into are hiring for it as fast as the banks are.
The placement cell works with every programme on campus, this one included. These are the studios, agencies and brands IIFA students have joined.
Admissions 2026–27
Seats on the Diploma in Data Science and Artificial Intelligence are limited by lab capacity. Register and the admissions team will call you back with the fee break-up, scholarship options and the next batch date.
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