Admissions: +91 7337620222 |
[email protected]
International Admissions: +91 9606045274

Admission Contact: +91 7337620222 |
[email protected]

International Admissions: +91 8046501767

Brochure

MBA

Enquire

Program Code

008

Entry Year

2022

Duration

2 Years (4 Semesters)

Credits

102

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

Computer Applications for Business
Business Communication
Legal and Business Environment
Organization Design
Managerial Economics
Marketing Management
Organizational Behavior
Business Statistics and Analytics for Decision Making
Financial Reporting, Statements and Analysis

Indian Financial System and Financial Markets
Quantitative Techniques
Marketing Research
Finance for Managers
Indian Economy and Policy
Human Resources Management
Programming with R
Descriptive Analytics and Data Visualization
Tableau
Spreadsheet and Modelling with Spreadsheet
Framework of Business Analytics
Organizational Study

Operations Management
Project Management
Management Skills for Effectiveness
Corporate Social Responsibility and Sustainability
Data Analytics with Python
Machine Learning
Text and Image Data Analytics
SQL with Oracle, R and Python
Financial Analytics
Security Analysis and Portfolio Management
Business Process Modeling and Advance Data Management

Entrepreneurship
Indian Ethos and Business Ethics
Corporate Strategy
Chatbot Development
Deep Learning and Trained Models
HR, Marketing, Retail and Supply Chain Analytics
Risk Modeling and Econometrics
Business Process Reengineering
SIP and Research

Program Structure

Step - 1

Theory

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

Step - 2

Application

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

Step - 3

Practice

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

TAP 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