• Course Title : Master In Data Science (MDS)
• Category/Level : Masters
• Course Duration (months) : 24 months
• Cost Range (NPR) :
• Affiliated to : Tribhuvan University

Course Description:

The Modern Computerized World demands the human resource having all three – analytical ability, data processing capability, and fast computing efficiency, i.e., the combined knowledge of Mathematics, Statistics, and Computer Science and Information Technology. Tribhuvan University has taken up this as a challenge and has decided to run a Bachelor’s and Master’s Degree Program in Mathematical Sciences that will help produce at least a critical mass of experts with sound knowledge of fundamentals of Mathematics, Statistical and Analytical capability, and fluent computational skills. To run these programs, Tribhuvan University established the School of Mathematical Sciences under the Institute of Science and Technology in 2016 at Kirtipur as its autonomous body.

Computational simulations are everywhere and the amount of data available for many enterprises is increasing exponentially. The internet makes these large quantities of data readily available for many enterprises. Many areas of science, engineering, and industry are now concerned with building and evaluating mathematical models, exploring them computationally, and analyzing enormous amounts of observed and computed data. These activities are all inherently mathematical in nature. Thus, the Master’s Program in Data Science is an ideal program to start at the School of Mathematical Sciences, TU.

Objectives
This interdisciplinary program is the first of its kind in the country. After graduation, the students will be able to
> Collect, clean, store, and query data from a variety of private and public data sources.
> Assess, evaluate and respond to decision-making needs and requirements.
> Apply appropriate analytic techniques to provide estimates that support decision-making and action.
> Communicate actionable information and findings in easy-to-understand written, oral, and visual formats.

Data Science Jobs
> Data scientists possess the technical savvy to unravel complex queries and the creativity to know how to get there. They work to gain insights, and ultimately find purpose in petabytes worth of unorganized, scattered and often disparate data.
> Data scientists translate big data into innovative ideas. Now big data is no longer a hassle for IT to handle. It is a virtual gold mine of information, just waiting for data scientists to translate into innovative ideas that have implications for commercial and even social change.
> Data scientists obtain, organize, and manipulate data to gain insights. They also communicate those insights to strategists and decision makers.
> Data scientists possess a deep understanding of the organizations and industries. They support and know which questions to ask; questions that involve looking into the invisible relationship between disparate data sets.