B.Voc (Data Science and Analytics)
B.Voc (Data Science and Analytics)
- About Program
- Vision & Mission
- Program Matrix
- Careers & Highlights
- Brochure
- Activities
- Publications
A three years UGC Sponsored Degree, Bachelor of Vocation in Data Science &Analytics is offered by the Department of Statistics and Analytics. In this program students are skilled as per NSQF requirement.
Data science relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics is concerned with turning Data into insights for making better decisions. Organizations may apply analytics to business data to describe and improve business performance. And, in today’s world there is no aspect of either business or technology that can stand on its own without Analytics.
The course is designed with inputs from Industry leaders to provide a broad spectrum of study and understanding.
These courses are spread across in a way to enhance the knowledge of students in a phased and logical manner. Subjects under Core and Programming Skills are handled by Industry Experts and the skill component is complemented by exposing students to hands-on sessions in the lab.
Head of Department
Dr. (Mrs) Lakshmi S.K. Assoc. Professor & Head M.Sc., Ph.D.Vision
- To impart skill-based education.
- To empower women with analytical and logical skills.
Mission
- To inculcate a scientific temper in students.
- To promote amongst students’ analytical skills in thought and writing.
- To work towards the creation of a strong and confident women workforce.
Objectives
- The curriculum is designed to bridge the academia-industry gap.
- To ensure that the students who graduate from this program are job-ready.
General Structure
Each semester carries 30 credits. As a part of the course, the students will learn: 1. Basic Skills Mathematics, Statistics, Economics, Principles of Finance, Business Communication, Business Environment. 2. Core Skills Econometrics, Data Warehousing and Business Intelligence, Data Mining, Data Visualization, Digital Marketing and Analytics, Applications of Analytics in Finance, FMCG and Retail, Healthcare and Pharma. 3. Programming Skills MS Excel, C, R, SAS, Python, MySQL, Tableau, and Power BI.Program Requirements
Any student who passed 10+2 with an aggregate of 60% with Mathematics/Statistics as one of the subject in Pre-University or equivalent course is eligible to take up this course.Testing and Evaluation
- Semesters I to IV – 5 papers each
- Semester V – 4 papers and project
- Semester VI – 3 papers and project
The students are provided with an opportunity to intern in different companies. The program equips the students with enough tools to make a mark as an Analyst/ Data Scientist. The program enables the student to be an industry-ready person at the end of three years.
Our students get placed in companies like Nielsen, Ernst and Young, Ducker Worldwide, Global Solutions, JP Morgan and Chase, etc.