BBA Business Analytics
BBA (Business Analytics): An overview

Business analytics is the process of transforming data into insights which help better business
decisions. Analytical tools such as Data management, data visualization, predictive modelling, data
mining, forecasting simulation, and optimization are the key to Business Analytics. It also makes use
of statistical, quantitative, and operational analysis, besides data visualizations to present the
findings. Thus, a business analyst has to balance technical skills with strong communication skills.
The core areas of business analytics include:
 identifying new patterns and relationships with data mining;
 using quantitative and statistical analysis to design business models;
 conducting A/B and multi-variable testing based on findings;
 forecasting future business needs, performance, and industry trends with predictive
modelling; and
 communicating your findings in easy-to-digest reports to colleagues, management, and
customers.
Earlier tools like database management and analysis techniques are no longer adequate to process
where unstructured data such as product reviews and social media posts. Business analytics, address
the new methods for organizing, drawing insights from, and making predictions based on the
steadily increasing amount of information and frequently incorporate computer science and other
technical knowledge.

Curriculum Structure
SEMESTER 1 SEMESTER 2 SEMESTER 3 SEMESTER 4 SEMESTER 5 SEMESTER 6
English: Course – 1 English: Course – 2 Business Communication Cost Accounting (Open Course) Strategic Management
Business Environment Analysis Business mathematics and quantitative techniques Marketing Management Financial Management Research Methodology Supply Chain Management
Managerial Economics Entrepreneurship, Business models and Industry analysis Business Information System DBMS Business Ethics and Environmental values Management project
Business Statistics Essential Statistics for Business Analytics Human Resource Management Digital Marketing analytics Business transformation using AI and analytics Application of Business Analytics
Business Accounting Principles and Methodology of Management Business Analytics Tools Business intelligence and Data Visualization Business analytics for decision making Data mining and machine learning
Excel for decision making (practical) Analysis using r (practical) Data Analysis using SQL (practical) Data visualization using power BI (practical) Data visualization using Tableau and KNIME (practical) Data analysis using Python (practical)
Programme Structure

The programme is spread across 6 semesters consists of twenty-two core courses including a project
carrying a total of 84 credits, five complementary courses with 19 credits, two Common courses
(English) carrying 8 credits, an Open course carrying 3 credits and a research project carrying 1
credit. The practical components of the course carry 6 credits. In addition to this, a candidate has to
undergo a 1-month internship with a business organisation and a 40-hour mandatory community
service.

Scope of the programme

We live in the age of data which continues grow exponentially. Although the widespread use of
information technology in the past decades has helped in converting row data into information
there has been a shortage of well-trained professionals in converting such information into insights.
It is estimated that currently there is a requirement of over 1.5 million managers and analysts with
the know-how to use the analysis of Big Data to make effective decisions. Across all industries,
opportunities for business analysts have exploded, as major organizations have adopted data-driven
and technology-focused approaches. This includes healthcare, marketing, logistics, ecommerce,
finance, food service and restaurants, entertainment, professional sports, and even casinos.

The estimated demand for analytics professionals across the world in the coming decade is as
follows*:
 Business Analysts, who seek to make organizations more efficient, will see 14% growth.
 Operations Research Analysts, called upon to solve challenging organizational issues with
data, will see 26% more positions available.
 Market Research Analysts, who examine market conditions to forecast demand for products
and services, will see 20% more growth.
 Financial Analysts, who provide guidance regarding investments and other financial
decisions, are expected to see 6% more openings.

Beyond these roles, other careers with leading employers include:

 Management Analyst/Consultant
 Data Analyst/Scientist
 Business Intelligence Analyst
 Program and Marketing Managers
 Big Data Analytics Specialist
 Research Analyst
 Manager of Services or Manufacturing Operations
 Business Intelligence and Performance Management Consultants
 Pricing and Revenue Optimization Analyst

*  Report by McKinsey Global Institute