"Krea has offered me the opportunity to explore all my interests in the same place, and has changed the way I approach problems and come up with impactful solutions".

Aishwarya Sivaramakrishnan

Cohort of 2022
Passionate about creating measurable social impact in the field of education, and dreams of moving to Germany and owning a library

Data Science
at Krea

Data Science is an interdisciplinary field that uses techniques from statistics, computer science and mathematics in conjunction with domain specific knowledge to extract knowledge and insights from structured and unstructured data to make informed decisions. Data Science can be applied in a wide range of fields, including business, computational sciences, social sciences, humanities, and political science. Data Science is relevant today because we live in a data driven world where data is ubiquitous. More notably, in the past decade this explosion of data, coupled with availability of affordable general-purpose tools and algorithms, has opened up opportunities for the development of specialised data analytics software and services across several domains.

The undergraduate programme in Data Science is intended to be a rigorous programme with an interdisciplinary flavour. The programme builds on the mathematical foundations of computing, complemented by hands-on experience through project work mentored by faculty to address some of the key problems in the field of artificial intelligence (AI), computational and data sciences with applications in computational sciences, computer vision, digital agriculture, econometrics, e-commerce, environmental studies, finance, medical imaging, supply chain management, etc.

The Approach

The Data Science programme at Krea is intended to be a rigorous program with an interdisciplinary flavour. The core courses have been designed to impart the necessary programming, computational, mathematical, and data-analytical skills to the students. The elective courses confer the necessary domain knowledge and enables students to apply the theoretical and practical knowledge learned through the required courses in a diverse set of domains. Additionally, the undergraduate programme in Data Science incorporates cutting edge tools and techniques employed by the industry. The courses are primarily project-based and provide students with opportunities to gain hands-on experience by analysing real-world data sets using various sophisticated tools for modeling, optimisation, data mining, and visualisation. Lastly, students are trained to conceive data through multiple branches of sciences and humanities that would play a vital role in approaching various interdisciplinary problems.

One of the distinguishing aspects of our interdisciplinary programme is the opportunity for our students to work with faculty and domain experts to build on solid analytical and conceptual foundations of computer science, statistics, and mathematics subjects to solve some real-world problems relevant to society. This is primarily driven by a research-based Capstone project in their final year, where students apply various artificial intelligence tools and techniques to solve some of the vital problems in computational sciences, business, social sciences and humanities.

Programme Details