Master of Technology in Data Science and Analytics

M. Tech Data Science and Analytics at the Indian Institute of Information Technology – Allahabad, is a four semesters program designed to develop the skills to analyze, interpret and infer from datasets complemented by a solid foundation of mathematical, statistical and information technology skills. This multidisciplinary program, also the first inter-departmental program at IIIT–Allahabad is steered by the Dept. of Applied Sciences and driven by a collaborative effort of faculties from the Dept. of Information Technology and Dept. of Management Studies. The curriculum designed is mindful of the diversity of students, industry demands and recent technology available for data scientists while emphasizing the foundational concepts for data science. The coursework is designed to include a balance of functional knowledge as well as practical learning spread over four semesters covering Mathematics, Statistics, Computer programming and emerging topics such as Big Data Analytics, Deep Learning, and Data Modeling tools to deal with large scale data.

Researchers and professionals who wish to shape their careers as Data Scientists to solve data driven decision making and problem solving in the fields of Information Technology, Applied Mathematics, Statistics, Biological Information System, Medical Informatics, Business Analytics, Data Science and Applied Physics, etc. should consider applying to this two years Master of Technology Program in Data Science and Analytics.

The explosive growth of data coupled with the increasing demands on data management systems has made effective data engineering a necessity for several diverse domains such as healthcare, fundamental sciences, data intensive technology, business and finance. Given the increasing complexity of data, the need for efficient data engineering techniques for mining useful (pertinent) information from the data is paramount. Information is now regarded as an asset, which facilitates decision-making processes in any organization, thereby saving the organization both time as well as money. Consequently, there is an increasing industry demand for specialized professionals in the area of Data Engineering. The current chasm between the number of opportunities and available resources in the domain of data science and analytics is undeniable.

Currently, very few institutions offer data science as degree programme that span two years including almost one year research exposure in this field. Data science is concerned with the acquisition, storage, retrieval, processing and finally the conversion of data into knowledge where the quantum of data is very large. Data Science heavily uses the more continuous aspects of mathematics together with considerable statistics. It is different from statistics insofar as there is an intense concentration on efficient algorithms to handle very large data sets, in some cases streamed data, and their realization via different architectures and platforms. Saying so, IIIT- Allahabad is having a pool of domain experts in the said above subject areas. Other disciplines that intensively use data science are the physical sciences (Physics, Astronomy, Biology, and Chemistry), Management, Economics and Finance, and Medicine. There is a growing realization that most of the knowledge lies in the data. For example, lot of cutting edge science (LHC, radio astronomy, genetic medicine, genomics and proteomics, molecular simulation, organic synthesis), commerce (supply chains, e-commerce, and finance), medicine (epidemiology, genetic medicine, drug discovery) would be impossible without data science. Consequently, there is a large amount of ongoing work in data science which is spread across disciplines. Given its importance, the need to bring the different disciplinary participants together on a common academic platform is just plain common sense.