MBA in Business Analytics

As Big Data becomes a major challenge for most companies, our active and globally connected MBA program in Business Analytics equips students to hone technical, computational, management practices, leadership and communication skills to lead organizations through crucial business decisions. The program also offers comprehensive training in data mining, data analysis and data visualization techniques to improve prediction analysis and develop steep marketing intelligence.

Career Prospects

Business analytics is the process of collecting, storing, and analyzing data to help a business improve its efficiency and increase its revenue. If an organization uses a data-driven approach in its decision-making process, then analytics plays a major role in their approach to decision making. According to MarTech, the digital universe has 2.7 Zettabytes of data, and if most of it is unstructured, analyzing it all will require a lot of data analysts. This means there are a lot of career opportunities in business analytics now more than ever.

Our Associate

Business Analytics by Institute of Analytics (IoA)

Business Analytics by Institute of Analytics (IoA) The MBA Business Analytics is accredited by the Institute of Analytics (IoA), UK. The accreditation provides an opportunity to apply for an Associate Membership at IoA after the course completion.

Program Outcome:

Ability to apply analytics techniques to analyze and interpret the data
Ability to use tools such as Python, R etc. to solve business analytics problem
Recognize the importance and value of mathematical and statistical thinking, training, and approaches to problem-solving, for a diverse variety of disciplines
Have necessary skills and understanding to take up advanced topics in the area of analytics and thus, enhance their career
Analyze the relationship between strategic decision making and corporate financing decisions.
Students will work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and to generate actionable insights

Curriculum Structure

Business Communication
Business Economics
Statistics for Managers
Indian Ethos and Business Ethics
Business Law
Financial Reporting Statement and Analysis
Marketing Management
Organizational Behaviour
Open Elective
Report Writing and Presentation Skills
Entrepreneurship Eco System (PCL - 1)

Indian Economic Policies and Reforms
Operations Research
Finance for Managers
Consumer Behaviour and Insights
Human Resource Management
Data Analytics with Python
Programming for Analytics
Data Analytics with R
Supply Chain Analytics
Open Elective
Skill Enhancement Course
Entrepreneurship Eco System (PCL - 1)

Global Business Management
Operations Management
Business Research Methods
Strutured Query Language
Predictive Analytics
Financial Analytics
Marketing Analytics
Human Resource Analytics
Security Analysis and Portfolio Management
Machine Learning for Business Application
Text and Image Data Analytics
Skill Enhancement Course
Summer Internship Project
Master Thesis
Entrepreneurship Project (PCL 2)

Strategic Management
Organization Design
Deep Learning and Trained Models
Econometrics
Business Intelligence
Blockchain Technology
Advanced Machine Learning
Framework for Business Analytics
Business Process Re-engineering
Big Data and Web Analytics
Skill Enhancement Course
Master Thesis
Entrepreneurship Project (PCL 2)

Program Structure

Theory

Makes you industry-ready
Syllabus is in line with industry expectations
Emphasis on skills and competencies

Application

Helps you apply concepts on real-world situations
Experiential learning through live projects

Practice

Practice with practitioners
Live sessions with industry experts
Consistent interactions with practitioners

Research

Assemble information to support theories
Advanced understanding in an area of study
Increases knowledge and promotes learning
Tools and techniques for implementing and developing new solutions

TAP-R model of real learning

One or two courses (subjects) are scheduled at a stretch– till the completion You complete a course and attend exam You don’t have to learn multiple subjects at same time! Upto 20% of the sessions are by industry experts All of the assignments are project-centric / live projects based Tools and Labs will bring in experiential learning Entrepreneurial culture is built-in