If you wish to build or pivot your career in data science, machine learning and artificial intelligence, and willing to invest 11 months in learning it, the IDMA FT program is for you! Blending industrial and academic material it is the only comprehensive integrated program in DS, ML and AI. Developed for STEM graduates, who are just out of college or working professionals.

Most of the existing programs in DS, ML or AI do not integrate all of the three aspects for you to become a practitioner in the field. Additionally, nearly none of these programs also cover, what we like to call, the edges of data science. Which, on the left is data engineering, and on the right, is deployment and prototyping.
Most programs only focus on building models in the development environment, which is useless for implementation! The IDMA FT/PT program is deeply integrated with the Data Science MicroMasters® from MIT, which provides you with deep knowledge which is unparalleled in online or in-person learning. This is augmented by extensive hands-on industry cases, real life data sets, big data engineering and ML Ops.

Nearly all DS-ML-AI programs only showcase cases, data sets and analysis from a developed world context. While this is essential for learning, it does not allow you to understand the problems of data in the Indian context.
In IDMA we teach an entire module on DS-ML-AI from the Indian context. We believe this is essential for anyone interested in working with Indian data, Indian start-ups and even the government or government agencies.

1. Neural Networks?
Yes. The program comprehensively covers Artificial Neural Networks (ANN) using Multi Layered Perceptrons for classification problems, Convolutional Neural Networks (CNN) for video analytics, Recurrent Neural Networks (RNN) for NLP and time series data, with relevant libraries (Keras, Tensorflow and PyTorch) and hands-on cases.
2. Probability and Statistics?
The foundation of all ML and AI is in probability/statistics, optimization and linear algebra. Most so-called ‘data scientists’ do not understand these basics and thus try to implement libraries in a GIGO (Garbage-In-Garbage-Out) mindset.
Our IDMA program covers these topics in detail but not as separate ‘theory’ material. These are treated as concepts and learning that we connect back closely to actual models and real-world applications.
3. Python and R?
Python – the fastest growing software in the world is our primary tool for the program. You can also access most ML-AI libraries (Tensorflow, Keras and Pytorch) through Python.
We also teach R because it is a software that is currently being used by many organizations. Additionally, R serves as a powerful tool for statistical analysis and visualization.
4. Tensorflow or PyTorch?
We believe that as future creators you need to be tools agnostic. The IDMA program helps you master both Tensorflow and PyTorch because each comes with its own set of pros and cons. Tools will keep changing and evolving. But core concepts, programming skills and business applications remain set in stone.

1. Programming?
No, we don’t expect you to have any pre-knowledge of programming. But if you have coded in the past, it will help you pick up the coding parts of the program faster. The program will start by setting the foundation.
Please note that entry to the IDMA FT is competitive, and knowledge of programming might help your application stand out.
2. Mathematics/Statistics?
Working with data and analysing does not mean that you need to come from a math/stat background.
But you will need to be comfortable with math and around numbers – because that is the language of data science.
Please refer to the mathematical requirements for MIT MicroMasters® courses to get a sense of the background. This is a transformational program. We expect it to change your life – so be prepared for the heavy lifting.
3. Computer Science?
If you have attended classes in algorithms, data structures, programming, etc in your graduation then you have the advantage. In any case, having a STEM background will help you. There are exceptionally successful data scientists who come from backgrounds in other engineering disciplines, economics, math, statistics, finance and similar numbers-based fields.

1. Create a New Algorithm?
Yes, ofcourse! The IDMA FT is arguably the only program which teaches you how to do that. Just be focused and understand the nuances of the material covered – learn from our leading global faculty – and soon you will be able to create an algorithm from scratch.

2. Create a New Library?
Absolutely. Again, we provide you the programming chops and the algorithms knowledge to create a new library in any area of DS-ML-AI. This will ensure that you are not only dependent on libraries created by others, nor are you one of those data scientists who never can create production ready code.

3. Create a Product Prototype?
Definitely. Remember the edges of DS-ML-AI? We believe that the edges have fat tails and we need to know those as much as we need to know the algorithms. Thus, we will teach you how to deploy your product using Flask, Django and R-Studio.

If you can’t work with the data, how would you effectively implement it in your algorithms? Through this program, we will take you to the edges of data. Ensuring that you can work with structured and unstructured data, in the cloud and on your systems – data which is big or small, and are able to clean it effectively for use in ML-AI algorithms.