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PGDM in Business Analytics at Jaipuria Institute of Management, Noida
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is Business Analytics at Jaipuria Institute of Management, Noida Gautam Buddh Nagar?
This Business Analytics program at Jaipuria Institute of Management, Noida, focuses on equipping future managers with critical data-driven decision-making skills. It integrates core management principles with advanced analytical tools and techniques, highly relevant for the burgeoning Indian digital economy. The program emphasizes practical application, preparing students to tackle real-world business challenges using insights derived from complex datasets.
Who Should Apply?
This program is ideal for fresh graduates from any discipline seeking entry into data-intensive management roles, as well as working professionals looking to upskill in analytics for career advancement. It also suits career changers transitioning into the rapidly growing data and analytics industry, especially those with an aptitude for quantitative analysis and problem-solving.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Operations Analyst roles. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with industry demand for analytics professionals, fostering growth trajectories in top Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Trimester 1-3)
Dedicate time to thoroughly understand foundational subjects like Business Statistics, Managerial Economics, and Marketing Management. These core concepts form the bedrock for applying analytics effectively. Engage actively in lectures, participate in case discussions, and clarify doubts promptly with faculty. Utilize peer study groups to reinforce learning.
Tools & Resources
Textbooks, Business journals, Online platforms like Coursera/edX for foundational business courses
Career Connection
A strong grasp of business fundamentals is crucial for translating data insights into actionable business strategies, making you a more effective and business-savvy analyst, highly valued by Indian employers.
Develop Essential Analytical Software Skills- (Trimester 1-3)
Beyond classroom learning, invest extra hours in hands-on practice with tools introduced in core courses like Computer Applications and Business Statistics. Focus on Excel for data manipulation and basic statistical software. Practice regularly to build muscle memory and efficiency in data handling.
Tools & Resources
Microsoft Excel, R Studio, Python (Anaconda Distribution), Practice datasets from Kaggle/Analytics Vidhya
Career Connection
Proficiency in widely used analytical software enhances your resume and significantly improves your chances for internships and entry-level positions in Indian analytical firms and corporate analytics departments.
Build a Strong Quantitative Aptitude- (Trimester 1-3)
Regularly practice quantitative techniques and problem-solving. This includes improving logical reasoning and data interpretation skills beyond what''''s taught directly in class. Participate in college quizzes and competitive tests to sharpen your analytical mind.
Tools & Resources
Quant-focused puzzle books, Online aptitude test platforms, GRE/GMAT quantitative sections for practice
Career Connection
Strong quantitative aptitude is a critical skill for any analytics role in India, aiding in complex problem-solving during interviews and day-to-day analytical tasks, ensuring a competitive edge.
Intermediate Stage
Deep Dive into Specialization Tools and Concepts- (Trimester 4-5)
As you enter the Business Analytics specialization, dedicate significant effort to mastering Python, Power BI, and R. Work through additional projects, datasets, and online tutorials beyond assignments. Contribute to open-source projects or build small personal projects to apply concepts rigorously.
Tools & Resources
Python libraries (Pandas, NumPy, Scikit-learn), Power BI Desktop, R packages (dplyr, ggplot2), DataCamp, Udemy courses
Career Connection
Deep expertise in core analytics tools and concepts from Trimester 4-5 directly translates into readiness for specialized roles like Data Analyst or Business Intelligence Developer, highly sought after in India.
Seek Industry Internships and Live Projects- (Trimester 4-5)
Actively pursue internships or live projects, even if unpaid initially, to gain practical exposure. Apply concepts learned in Big Data Analytics, Machine Learning, and Marketing Analytics to real business problems. Network with industry professionals through college events and LinkedIn.
Tools & Resources
College placement cell, LinkedIn, Internshala, Industry workshops
Career Connection
Internship experience is invaluable for placements in India, demonstrating your ability to apply theoretical knowledge to practical scenarios, build a professional network, and understand corporate culture.
Participate in Analytics Competitions and Hackathons- (Trimester 4-5)
Engage in data science competitions on platforms like Kaggle, Analytics Vidhya, or college-organized hackathons. This helps in developing problem-solving skills under pressure, learning new techniques, and building a portfolio of practical achievements. Collaborate with peers to leverage diverse skill sets.
Tools & Resources
Kaggle, Analytics Vidhya, HackerEarth, GitHub for project showcasing
Career Connection
Winning or even participating in such competitions boosts your profile, providing tangible proof of your analytical prowess and problem-solving capabilities, which Indian recruiters highly value.
Advanced Stage
Build a Comprehensive Analytics Portfolio- (Trimester 6)
Compile all your projects, case studies, and competition submissions into a professional portfolio (e.g., GitHub, personal website). Showcase your skills in data cleaning, visualization, modeling, and interpretation. Tailor your portfolio to reflect the type of analytics role you aspire to.
Tools & Resources
GitHub, Jupyter Notebooks, Google Colab, Personal blog/website
Career Connection
A strong portfolio is essential for job applications in India, acting as a live resume that demonstrates your practical skills and understanding, significantly increasing your chances for interviews and placements.
Focus on Placement Specific Skill Refinement- (Trimester 6)
Identify common interview questions, case studies, and technical challenges for business analytics roles in India. Practice mock interviews, group discussions, and aptitude tests. Refine your communication skills to articulate complex analytical findings clearly to non-technical stakeholders.
Tools & Resources
Mock interview platforms, GD/PI coaching (if needed), Industry whitepapers, Business case study books
Career Connection
Targeted preparation ensures you excel in the rigorous Indian campus placement process, securing desirable roles and demonstrating readiness for industry expectations.
Undertake an Impactful Capstone Project- (Trimester 6)
Choose a substantial final project, ideally sponsored by an industry partner, that allows you to integrate knowledge from Data Mining, Business Intelligence, and other electives. Focus on delivering measurable business value and meticulously document your methodology and results in the Project Report.
Tools & Resources
Industry connections (through college), Relevant datasets, Advanced analytics software
Career Connection
A well-executed capstone project, especially with industry relevance, is a powerful differentiator in the Indian job market, demonstrating your ability to lead and deliver complex analytical solutions, paving the way for advanced roles.
Program Structure and Curriculum
Eligibility:
- Graduation with minimum 50% marks or equivalent CGPA in any discipline from a university recognized by AIU/AICTE/UGC. Candidates appearing for final year examinations of Bachelor''''s degree can also apply. All applicants for the PGDM programs are required to take CAT/MAT/XAT/CMAT/GMAT score.
Duration: 2 years (6 Trimesters)
Credits: 110 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PG101 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Market Structures, Pricing Strategies, Production and Cost Analysis, Business Decision Making |
| PG102 | Accounting for Managers | Core | 3 | Financial Statements Analysis, Cost Accounting Concepts, Budgeting Techniques, Break-even Analysis, Fund Flow and Cash Flow Statements |
| PG103 | Organisational Behaviour | Core | 3 | Individual Behaviour, Group Dynamics and Teamwork, Motivation Theories, Leadership Styles, Organisational Culture and Change |
| PG104 | Business Statistics | Core | 3 | Descriptive Statistics, Probability Distributions, Hypothesis Testing, Correlation and Regression Analysis, Sampling Methods |
| PG105 | Marketing Management I | Core | 3 | Marketing Environment, Consumer Behaviour, Market Segmentation, Targeting, Positioning, Product Life Cycle, Branding Strategies |
| PG106 | Operations Management I | Core | 3 | Production Planning, Inventory Management, Quality Control Techniques, Supply Chain Basics, Facility Layout and Location |
| PG107 | Management & Communication Skills | Core | 2 | Verbal and Non-verbal Communication, Presentation Skills, Business Writing, Interpersonal Communication, Conflict Resolution |
| PG108 | Quantitative Techniques | Core | 3 | Linear Programming, Transportation Problems, Assignment Problems, Decision Theory, Queuing Theory |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PG201 | Financial Management I | Core | 3 | Financial Goals and Objectives, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Capital Structure Theories |
| PG202 | Human Resource Management | Core | 3 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| PG203 | Marketing Management II | Core | 3 | Distribution Channels, Promotion Strategies, Digital Marketing Introduction, Service Marketing, Pricing Decisions |
| PG204 | Operations Management II | Core | 3 | Process Improvement, Lean Operations and Six Sigma, Project Scheduling and Control, Quality Management Systems, Operations Strategy Formulation |
| PG205 | Business Environment & Law | Core | 3 | Economic Environment, Political and Legal Environment, Social and Cultural Environment, Global Business Environment, Ethical Aspects of Business |
| PG206 | Business Research Methods | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing |
| PG207 | Corporate Social Responsibility | Core | 3 | CSR Concepts and Theories, Stakeholder Management, Ethical Governance, Sustainability Reporting, Social Impact Assessment |
| PG208 | Computer Applications | Core | 2 | MS Office Productivity Tools, Data Management using Spreadsheets, Presentation Tools, Internet for Business, Basic Data Analysis Tools |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PG301 | Financial Management II | Core | 3 | Mergers and Acquisitions, Risk Management in Finance, International Finance, Derivatives Market, Portfolio Management |
| PG302 | Macroeconomics | Core | 3 | National Income Accounting, Inflation and Unemployment, Fiscal Policy, Monetary Policy, Economic Growth and Development |
| PG303 | Digital Business | Core | 3 | E-commerce Models, Digital Marketing Strategies, Social Media Marketing, Analytics in Digital Business, Digital Transformation |
| PG304 | Project Management | Core | 3 | Project Planning and Initiation, Project Scheduling and Control, Risk Management in Projects, Resource Allocation, Project Closure |
| PG305 | Strategic Management | Core | 3 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Competitive Advantage, Corporate Governance |
| PG306 | Entrepreneurship | Core | 3 | Idea Generation and Validation, Business Plan Development, Startup Funding and Venture Capital, Legal Aspects of Startups, Growth Strategies for New Ventures |
| PG307 | Legal Aspects of Business | Core | 3 | Contract Law, Company Law Principles, Consumer Protection Act, Intellectual Property Rights, Cyber Law and E-Contracts |
| PG308 | Rural and Agri Business | Core | 3 | Rural Marketing Strategies, Agri-supply Chain Management, Rural Finance and Microfinance, Rural Entrepreneurship, Government Schemes for Rural Development |
| PG309 | Social Immersion Project | Core | 2 | Community Engagement, Problem Identification in Social Context, Field Research and Data Collection, Solution Development for Social Issues, Impact Assessment and Reporting |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PGBA401 | Data Science using Python | Elective | 3 | Python Fundamentals for Data Science, Data Manipulation with Pandas, Numerical Computing with NumPy, Data Visualization with Matplotlib/Seaborn, Introduction to Machine Learning Libraries |
| PGBA402 | Data Visualization using Power BI | Elective | 3 | Introduction to Power BI, Data Loading and Transformation (Power Query), Data Modeling with DAX, Dashboard Creation and Design, Interactive Reports and Storytelling |
| PGBA403 | Big Data Analytics | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark Architecture and Processing, NoSQL Databases (MongoDB, Cassandra), Big Data Technologies and Tools |
| PGBA404 | Machine Learning using R | Elective | 3 | R Programming for Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation and Selection, Predictive Analytics with R |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PGBA501 | Applied Predictive Modeling | Elective | 3 | Linear and Logistic Regression, Classification Models (Decision Trees, SVM), Time Series Forecasting, Model Validation and Tuning, Ensemble Methods |
| PGBA502 | Marketing Analytics | Elective | 3 | Customer Analytics, Sales Forecasting, Campaign Optimization, Web and Social Media Analytics, Pricing Analytics |
| PGBA503 | Web & Social Media Analytics | Elective | 3 | Web Traffic Analysis (Google Analytics), Social Media Metrics and KPIs, Sentiment Analysis, A/B Testing and Optimization, Digital Campaign Measurement |
| PGBA504 | Financial Analytics | Elective | 3 | Financial Risk Analytics, Portfolio Optimization, Algorithmic Trading Strategies, Fraud Detection Techniques, Credit Scoring Models |
| PGBA505 | Advanced Excel & VBA for Business | Elective | 3 | Advanced Excel Functions, Data Analysis Tools in Excel, Pivot Tables and Charts, VBA Programming Fundamentals, Macro Automation for Business Tasks |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PGBA601 | Supply Chain Analytics | Elective | 3 | Demand Forecasting in Supply Chain, Inventory Optimization, Logistics and Transportation Analytics, Supply Chain Network Design, Supply Chain Risk Analysis |
| PGBA602 | Cloud for Business | Elective | 3 | Cloud Computing Fundamentals, AWS/Azure/GCP Services Overview, Cloud Deployment Models, Data Storage in Cloud, Cloud Security Best Practices |
| PGBA603 | Data Mining Techniques | Elective | 3 | Association Rule Mining, Clustering Algorithms (K-Means, Hierarchical), Classification Trees, Text Mining and Natural Language Processing, Anomaly Detection |
| PGBA604 | Business Intelligence & Data Warehousing | Elective | 3 | Business Intelligence Architecture, ETL Processes, Data Warehouse Design (Star Schema), OLAP Concepts, BI Reporting Tools |
| PGBA605 | Project Report & Viva | Project | 6 | Problem Definition and Literature Review, Research Methodology, Data Collection and Analysis, Report Writing and Documentation, Presentation and Viva Voce |
