programme overview
This programme provides the student with a unique opportunity to develop himself/herself in the following areas:
- Quantitative techniques from basics to advanced
- A comprehensive suite of analytics tools—including Excel, SQL, Power BI, and open-source technologies such as Python and Machine Learning—is integrated into the learning process.
- Qualitative research methods and design thinking principles are applied to real-world industry challenges, enabling students to uncover unique opportunity spaces and approach to solutions.
- An emphasis on information design which helps transform data into very intuitive infographics and visual analytics solutions
- A strong business foundation - this is offered in the form of core courses similar to other PGDM programs giving an understanding of all functional areas of a business as well as a range of elective courses and verticals which provide deeper insights into specific horizontal and industry-specific issues - all of which is so important for the interpretation of data
Programme Vision
• To nurture future business leaders by inculcating research and analytical skills to enhance data-driven sustainable innovative business decisions.
Programme Mission
The Mission of the PGDM Research and Business Analytics program is:
- M1: Equip students with research and analytical technologies to identify opportunities and solve complex business problems.
- M2: Develop skills to interpret the data for business insights and effective communication
- M3: Instill a sense of ethical decision-making and sustainable development practices for both organizations and society.
programme educational objectives
- Understand the business problem to propose solutions using data and cutting edge technologies & analytical techniques.
- Enhance research and business intelligence capabilities by learning appropriate tools and technologies.
- Develop data interpretation skills to derive business insights for enabling better decisions making.
- Adhere to ethical and sustainable guidelines to ensure data security, integrity, and confidentiality.
Program Specific Outcomes(PSOs)
- Identify analytical business problems and apply analytical technologies to provide innovative solutions. (“Complex Problem Solving”)
- Recommend business strategies based on data driven decisions using analytical tools and techniques (“Data-Dirven Decisions”)
Program Outcomes
- Leadership
- Innovation
- Critical and Analytical Thinking
- Communication Skills
- Global Perspective
- Role of Self in the Organization and Society
programme usp
- Industry-vetted Curriculum with emphasis on identifying and solving Business problems using analytical techniques and cutting-edge technologies
- Enhancement of Research and Business Intelligence capabilities
- Innovation and Design Thinking Exercises
- Bloomberg Lab – Teaches Foundational finance and analytics concepts. Data Visualization and Data mining, Portfolio management and ESG Analytics and Bloomberg Market concepts certifications
- Art of Integrative thinking in the age of Analytics
class profile 2024-2026 batch
The programme draws in students from diverse cultural, personal and professional backgrounds, across India. All of whom, wish to empathize, contribute and excel in the fast-changing world of retail.
education
Diversity
Work Experience
Fresher
73%
1-2 years
11%
2-3 years
13%
3 & Above
3%
Age
20-22 yrs
75%
23-25 yrs
20%
26-28 yrs
2%
30 yrs & Above
3%
Gender
Male
64%
Female
36%
programme structure
Quantitative Techniques and Analytics
- Capstone Project
- Deep Learning
- Strategic Analysis
- Ethics and Governance in Data Science
