Data Science Boom Escalates, Colleges To Increase Cut-Off Marks For Statistics Courses

The data science and AI boom has begun to exhibit effects on other parts of the talent pipeline. Universities have now begun increasing the cut-off marks for statistics across Pune, showing the rising need for statisticians in data science.

Undergraduate courses in colleges now have over 90% as the cut-off rates for statistics. The course is normally open for any students who have taken science and have an aptitude for numbers and logic. Seats are also scaling up in numbers, owing to the higher demand for Bachelor’s and Master’s courses for statistics.

Moreover, with the rise of big data and analytics, there is a need for statisticians and similarly skilled professionals in the job market. A variety of verticals such as banking, financial services, market research, and more heavily utilize statistics and, by extension, statisticians.

Master’s courses specifically have seen a higher rate of adoption owing to the idea that more qualifications net better careers. These are usually individuals who wish to take up data analytics in a software company, said Prakash Dixit, head of the department of statistics at Modern College, Pune.

Data science heavily requires statistics as a base for many reasons. The science itself has statistics at its basis, with better insights coming from understanding the data properly. Statisticians also have the ability to detect bias in the collected data through scientific methodology.

This, along with a background in computer science and handling large amounts of data, is usually the kind of candidate many big companies are looking for. Many have noticed this trend and are looking to make it a part of their career as well, owing to the lucrative pay and growth in the future.

The startup boom is also to blame for the increase in awareness in the field, as smaller companies are innovating better ways to apply data science. The need for technical and qualified talent is now driving the realignment of colleges to the job market.

More Great AIM Stories

Anirudh VK
I am an AI enthusiast and love keeping up with the latest events in the space. I love video games and pizza.

More Stories


8th April | In-person Conference | Hotel Radisson Blue, Bangalore

Organized by Analytics India Magazine

View Event >>

30th Apr | Virtual conference

Organized by Analytics India Magazine

View Event >>

Yugesh Verma
All you need to know about Graph Embeddings

Embeddings can be the subgroups of a group, similarly, in graph theory embedding of a graph can be considered as a representation of a graph on a surface, where points of that surface are made up of vertices and arcs are made up of edges

Yugesh Verma
A beginner’s guide to Spatio-Temporal graph neural networks

Spatio-temporal graphs are made of static structures and time-varying features, and such information in a graph requires a neural network that can deal with time-varying features of the graph. Neural networks which are developed to deal with time-varying features of the graph can be considered as Spatio-temporal graph neural networks. 

Vijaysinh Lendave
How to Evaluate Recommender Systems with RGRecSys?

A recommender system, sometimes known as a recommendation engine, is a type of information filtering system that attempts to forecast a user’s “rating” or “preference” for an item. In this post, we will look at RGRecSys, a library that performs constraint evaluation of recommender systems.

Yugesh Verma
A guide to explainable named entity recognition

Named entity recognition (NER) is difficult to understand how the process of NER worked in the background or how the process is behaving with the data, it needs more explainability. we can make it more explainable.

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM