Data Science is a recent but a rapidly growing field providing students with exciting career paths, and vertical mobility in education pathways. The B.Sc. program in Data Science gives students a basic foundation in three special, but interrelated, branches of Mathematical Sciences namely, Computer Science, Statistics, and Mathematics. The knowledge of Data Science has not only become inevitable but also relevant for analysing and manipulating voluminous and/or complex data; which in the information era of 21stcentury is a reality of the day. Students of B.Sc. in Data Science program will learn computer programming, data analysis and database systems, and will learn to think critically about the process of handing and understanding data. The B.Sc. in Data Science program is a first-degree program that blends practical use of Data Science methods with the theoretical properties underpinning the performance of the methods and algorithms.
Duration
The rigorous course work is spread over 6 semesters including projects
Number of Seats
Eligibility
Candidate must have passed 10 + 2 or equivalent examination including IB Diploma (IB certificate awarded is not eligible) with Mathematics /Mathematics & Statistics/Statistics as compulsory subject & 50% aggregate marks in any stream (Science, Commerce, Arts).
Candidate with IB Diploma is eligible only if he/she has offered Mathematics /Mathematics & Statistics at SL/HL.
Admission Criteria
Merit list will be based on performance of the candidate in Mathematics/ Statistics /Mathematics & Statistics marks obtained in 10+2 or Equivalent examination.
Salient Features
Program Objectives
Pedagogy
The course lays emphasis on the overall development of computational and analytical skills of a student coupled with an expansion of his/her knowledge base through an interdisciplinary course. The course comprises of lectures and practical on the basic concepts of Statistics, Mathematics, and Computer Science in the first year. Subsequently moving to the second year, the students are exposed to the core subjects of Statistics and Mathematics. From the third semester student has to do a project in any of the core subject taught in that semester. In the fifth semester, students will be exposed to the papers such Machine Learning techniques. In final semester subject of Deep learning techniques other statistical papers will make student ready to pursue further study in the field of Data Science.
The course is designed in consultation with our Board of Studies, which comprises of experts from academia, research institutions and industry. Thus, the course is tailor made to fulfill the requirements needed to keep pace with the current & future developments in industry.
While the student will have ample opportunity to acquire hands-on training on modern softwares wherever necessary, he/she will also be able to benefit from the expertise of one or more supervisors, wherever needed.
Along with the permanent faculties, the regular lectures are also conducted by visiting faculties who are experts in their respective fields. Apart from the course work, the Faculty also conducts Guest lectures by eminent academicians and statisticians to ensure learner centric environment.
Value Proposition
·Aims to provide a strong foundation for the student in the field of Data Science
·Rigorous training on the foundational subjects of Statistics, Mathematics, Computer Science and Deep learning
·Experiential hands on training on a host of critical tools and technologies related to Data Science
·Early initiation of students to research oriented projects for gaining better understanding of the subjects
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