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PGDM-RESEARCH-BUSINESS-ANALYTICS in General at Prin. L. N. Welingkar Institute of Management Development and Research
Bengaluru, Karnataka
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About the Specialization
What is General at Prin. L. N. Welingkar Institute of Management Development and Research Bengaluru?
This Post Graduate Diploma in Management Research & Business Analytics program at Prin. L. N. Welingkar Institute of Management Development & Research, Bengaluru focuses on equipping students with advanced analytical skills, data interpretation capabilities, and strategic business decision-making techniques. It is designed to meet the escalating demand for data-savvy professionals in the rapidly expanding Indian analytics industry, offering a blend of management acumen and cutting-edge analytical tools. The program emphasizes practical application and industry relevance in the current economic landscape.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds such as engineering, commerce, statistics, or any discipline seeking entry into the data-driven economy. It also caters to working professionals aiming to upskill in analytics for career advancement or those looking to transition into highly sought-after roles like Business Analyst, Data Scientist, or Analytics Consultant within various Indian industries. A strong aptitude for quantitative reasoning and problem-solving is a beneficial prerequisite.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths in India across sectors like IT, BFSI, E-commerce, Healthcare, and Consulting. Entry-level salaries typically range from INR 6-12 LPA, with significant growth potential as experience accumulates and expertise deepens. Roles include Business Intelligence Developer, Data Analyst, Market Research Analyst, and Machine Learning Engineer, aligning with global professional certifications like IIBA CBAP or analytics vendor certifications, enhancing their professional trajectory in Indian companies.
Student Success Practices
Foundation Stage
Strengthen Quantitative and Logical Foundations- (Trimester 1-3)
Actively engage in problem-solving sessions for quantitative methods and business statistics. Utilize online platforms for reinforcing concepts and practice case studies involving data interpretation to build a strong analytical base.
Tools & Resources
Statistical software (Excel, basic R), Online math/stats tutorials (Khan Academy, NPTEL), Business case study libraries
Career Connection
A robust foundation is crucial for advanced analytics, enabling accurate data modeling and insightful business recommendations, which are highly valued by Indian employers for entry-level roles.
Develop Foundational Programming Skills- (Trimester 2-3)
Beyond classroom learning, dedicate time to self-learning Python and R, focusing on data manipulation, basic statistics, and visualization libraries. Participate in introductory coding challenges to apply concepts practically.
Tools & Resources
DataCamp, Coursera (Python for Data Science, R Programming), Kaggle practice datasets, GeeksforGeeks
Career Connection
These are core competencies for almost all analytics roles in India, from data analyst to data scientist, and are frequently assessed in technical rounds of job interviews.
Engage in Peer Learning and Discussion Groups- (Trimester 1-3)
Form study groups to review course material, solve challenging problems together, and prepare for exams and presentations. This fosters diverse perspectives and strengthens understanding of complex business and analytical concepts.
Tools & Resources
Collaborative online tools (Google Docs, Microsoft Teams), Internal discussion forums, Library resources for group study
Career Connection
Enhances communication, teamwork, and problem-solving skills, which are critical for success in cross-functional analytics teams and project environments in Indian corporate settings.
Intermediate Stage
Undertake Data-Driven Mini-Projects and Build a Portfolio- (Trimester 4-5)
Identify datasets from public repositories or business case studies and apply predictive modeling, data visualization, and reporting techniques. Document the entire process from problem definition to insights and build a portfolio.
Tools & Resources
Jupyter Notebooks, Google Colab, Tableau Public, Power BI, UCI Machine Learning Repository, Kaggle Competitions
Career Connection
Building a portfolio of practical projects is essential for demonstrating applied skills to Indian recruiters and provides concrete examples for technical and behavioral interview discussions.
Seek Industry Internships and Relevant Certifications- (Trimester 4 (Summer Internship Project) and Trimester 5)
Actively search for summer internships in analytics roles within Indian companies or MNCs with Indian operations. Pursue certifications in specific tools (e.g., Tableau, AWS Cloud Practitioner) or methodologies to validate expertise.
Tools & Resources
LinkedIn Jobs, Internshala, Company career pages, Online certification platforms (Tableau, Microsoft, AWS, SAS)
Career Connection
Internships provide crucial industry experience and networking opportunities, often leading to pre-placement offers. Certifications enhance resume credibility and differentiate candidates in the competitive Indian job market.
Participate in Analytics Competitions and Hackathons- (Trimester 4-5)
Join national or institutional analytics competitions and hackathons to solve challenging business problems using data. This sharpens problem-solving abilities, exposes students to new techniques, and provides networking avenues.
Tools & Resources
Kaggle, HackerEarth, Institution-organized events, Industry-sponsored data challenges
Career Connection
Success in such events demonstrates a competitive edge, practical application skills, and a proactive attitude, making candidates highly attractive to Indian analytics firms and technology companies.
Advanced Stage
Focus on Capstone Project Excellence and Business Impact- (Trimester 6)
Dedicate significant effort to the final major project, ideally industry-sponsored, and execute it thoroughly from problem framing, data collection, model building, to deploying and reporting insights. Aim for a demonstrable business impact.
Tools & Resources
Advanced Python/R libraries, Cloud platforms (Azure, GCP), Version control (Git), Project management tools
Career Connection
The capstone project is often the strongest indicator of a candidate''''s ability to deliver value, serving as a primary talking point and portfolio piece for final placements in top Indian analytics companies and consulting firms.
Intensive Placement Preparation and Networking- (Trimester 5-6)
Attend placement workshops, practice aptitude tests, mock interviews, and group discussions specifically tailored for analytics and consulting roles. Network proactively with alumni and industry professionals through various channels.
Tools & Resources
Placement cell resources, Online aptitude test platforms, Mock interview services, LinkedIn for professional networking
Career Connection
Strategic and focused preparation significantly increases the chances of securing desired roles and competitive packages in leading Indian analytics and IT services companies.
Cultivate Leadership and Communication in Analytics- (Trimester 5-6)
Take leadership roles in team projects, present findings clearly and concisely to faculty and peers, and practice translating complex technical jargon into actionable business language for diverse audiences.
Tools & Resources
Presentation software (PowerPoint, Google Slides), Public speaking workshops, Case study discussions and debates
Career Connection
In Indian corporate environments, the ability to effectively communicate data-driven recommendations to non-technical stakeholders is as crucial as technical prowess for career progression into leadership and client-facing analytics roles.
