Facebook Twitter Google+ YouTube Linkedin Instagram

B.Sc. in Data Science and Analytics Integrated with IoA (Institute of Analytics) + Royal Economic Society + Royal Statistical Society of UK *

Why take this course?

The B.Sc. in Data Science and Analytics course is integrated with IoA (Institute of Analytics) + Royal Economic Society + Royal Statistical Society of UK. The course is accredited by IoA – Institute of Analytics and students will be eligible for graduate membership of IoA after the course completion. The students are eligible for membership at Royal Statistical Society and Royal Economic Society- UK. The Institute of Analytics (IoA) is the professional body for analytics and data science professionals in UK and International. IoA promotes greater awareness, understanding and innovation in Analytics. Royal Statistical Society is the world’s leading organizations to promote the importance of statistics and data. RSS is a professional body for all statisticians and data analysts. The Royal Economic Society is one of the oldest and most prestigious economic associations in the world. It is a learned society to promote the study of economic science. Students will be registered as student members in the beginning of the course and will be progressed to graduate membership on graduation.

*The program is awaiting potential external accreditation from IoA (Institute of Analytics), UK

What will I experience?

  • Economic reasoning to the analysis of selected contemporary economic problems
  • Economic problem solving skills to discuss the opportunities and challenges of the increasing globalization of the world economy
  • Ability to apply analytics techniques to analyze and interpret the data
  • Ability to use tools such as Python, R, etc. for solving business analytics problems
  • Recognize the importance and value of mathematical and statistical thinking, training, and approach to problem solving on a diverse variety of disciplines
  • Ability to understand the business problem with their knowledge in different functional areas of management
  • Analyze the efficiency and equity implications
  • Ability to perform descriptive, predictive and prescriptive analytics
  • Have necessary skills and understanding to take up advanced topics in the area of analytics and thus enhance their career

What opportunities might the Course lead to?

Some of the roles the student might get into are

  • Data Science
  • Information Technology and computing
  • Business, Management, Consulting
  • Statisticians
  • Risk Analyst
  • Content Analyst
  • Business Analyst
  • Econometrician

Few of the Recruiting Partners are

  • IBM
  • Infosys
  • TCS
  • Netapp
  • Amazon
  • KPMG
  • EY
  • Deloitte
  • JP Morgan

Degree Awarded

Bachelor of Science

Course Commencement

June 2019

Eligibility

The minimum qualification required to apply is, pass in the 10+2 examination in Science or Commerce from PUC / ISC / CBSE or equivalent board. A course recognized as equivalent thereto by the University.

Study Campus

Admissions Office



Curriculum Structure & Teaching

Semester I
  • English – I
  • Database Management System
  • Basic Mathematics
  • Management Concepts and Marketing Management
  • Economics – I
  • ICT for Analytics – I / Academic Writing
Semester II
  • English – II
  • Descriptive Statistics
  • Financial Statement Analysis
  • Economics – II
  • Environment Studies
  • Mind Management and Human Values (Compulsory)
Semester III
  • Probability Theory and Theoretical Distribution
  • Structural Query Language
  • Business Analytics
  • Business Analytics Programming
  • Financial Management
  • Communicative English
  • ICT for Analytics – II / Data Visualization

 

Semester IV
  • Business Forecasting
  • Sampling Distributions and Statistical Inference
  • Research Methodology
  • Analytics Narration / Statistical Tools - Spss
  • Financial Analytics / Psychology
  • Marketing Analytics / Cultural Studies
Semester V
  • Financial Management
  • Business Simulation
  • Analytics for Logistics
  • Discipline Specific Elective (DSE) – I
  • Discipline Specific Elective (DSE) – II
  • Business Environment / Digital Marketing
Semester VI
  • Design of Experiments and Multivariate Analysis
  • Econometrics
  • Discipline Specific Elective (DSE) - III
  • Discipline Specific Elective (DSE) - IV
  • Discipline Specific Elective (DSE) - V
  • HR Analytics / Gandhian Thoughts

Discipline Specific Elective

  • DSE – I: Data Manipulation and Data Cleaning using R / Big Data Analytics
  • DSE – II: Analytical Tools – Python / Deep Learning
  • DSE – III: Predictive Modeling using SaS / Artificial Intelligence
  • DSE – IV: Advanced Analytics / Data Mining
  • DSE – V: Operations Research / [email protected]