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B.Sc. Data Science and Analytics Integrated with Institute of Analytics UK, Institute of Mathematics UK, Royal Statistical Society UK *

Why take this course?

The B.Sc. Data Science and Analytics Integrated with Institute of Analytics UK, Institute of Mathematics UK, Royal Statistical Society 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?

What opportunities might the Course lead to?

Some of the roles the student might get into are

Few of the Recruiting Partners are

Degree Awarded

Bachelor of Science

Course Commencement

June 2020


The minimum qualification required to apply is, pass in the 10+2 examination in Science or Commerce with Mathematics and Statistics as core subjects 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
  • Sec - I
Semester II
  • English - II
  • Descriptive Statistics*
  • Financial Statement Analysis
  • Economics - II
  • AECC - I
  • SEC - II
Semester III
  • Probability Theory and Theoretical Distribution
  • Structural Query Language
  • Business Analytics (IOA)  
  • Business Analytics Programming (IOA)
  • Financial Management  
  • AECC - II
  • SEC - III
Semester IV
  • Business Forecasting (IAO)
  • Sampling Distributions and Statistical Inference
  • Research Methodology 
  • SEC - IV
  • GE - I
  • GE - II
Semester V
  • Financial Management  
  • Business Simulation (IOA)
  • Analytics for Logistics
  • DSE - I  
  • DSE - II 
  • GE - III
Semester VI
  • Design of Experiments and Multivariate Analysis
  • Econometrics
  • DSE - III
  • DSE - IV
  • DSE - V 
  • GE - IV


Discipline Specific Elective
  • Data Manipulation and Data Cleaning using R / Big Data Analytics - I
  • Analytical Tools - Python / Deep Learning - II
  • Predictive Modeling using SAS / Artificial Intelligence - III
  • Advanced Analytics / Data Mining - IV
  • Operations Research / Project - V
Generic Electives
  • Financial Analytics / Psychology - I
  • Marketing Analytics / Cultural Studies - II 
  • Business Environment / Digital Marketing - III
  • HR Analytics / Gandhian Thoughts - IV  
Ability Enhancing Compulsory Courses (AECC)
  • Environment Studies - I 
  • Communicative English - II
Skill Enhancement Courses
  • Mind Management and Human Values (Compulsory) - II
  • ICT for Analytics - I / Academic Writing - I
  • ICT for Analytics - II / Data Visualization - III
  • Analytics Narration / Statistical Tools - SPSS - IV