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MBA in Business Analytics at Chandigarh Business School of Administration
S.A.S. Nagar, Punjab
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About the Specialization
What is Business Analytics at Chandigarh Business School of Administration S.A.S. Nagar?
This Business Analytics program at Chandigarh Business School of Administration focuses on equipping future managers with data-driven decision-making skills. It integrates core management principles with advanced analytical techniques. In the rapidly evolving Indian business landscape, where data is king, this specialization addresses the critical demand for professionals who can leverage insights to drive growth and efficiency across various sectors.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds seeking entry into the analytics domain, particularly those with a quantitative aptitude. It also serves working professionals looking to upskill in data analytics for career advancement. Furthermore, career changers transitioning into data-centric roles within industries like e-commerce, finance, and healthcare in India will find this curriculum highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths such as Business Analyst, Data Scientist, Data Consultant, or Analytics Manager in India. Entry-level salaries typically range from INR 5-8 LPA, growing significantly with experience. The program aligns with industry-recognized certifications in data science and analytics, enhancing professional credibility and opening doors to leadership roles in Indian and multinational corporations.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Semester 1-2)
Focus on building a strong understanding of foundational management subjects like Economics, Finance, and Marketing. Actively participate in lectures, review case studies, and engage in group discussions to grasp interdisciplinary concepts essential for business analytics applications.
Tools & Resources
Textbooks, HBR Case Studies, NPTEL videos on management principles, Business news dailies
Career Connection
A solid business understanding is crucial for contextualizing data problems, making you a more effective and business-savvy analyst, highly valued by Indian companies.
Build Analytical Tool Proficiency (SQL & Basic Python/R)- (Semester 1-2)
Alongside theoretical subjects, dedicate significant time to hands-on practice with data management and statistical tools. Start with SQL for database querying and introduce yourself to Python or R for basic data manipulation and statistical analysis, using online tutorials and datasets.
Tools & Resources
LeetCode SQL, HackerRank Python/R, Kaggle beginner datasets, DataCamp/Coursera introductory courses
Career Connection
Early proficiency in these tools is a non-negotiable skill for entry-level analytics roles in India, giving you a competitive edge during internships and placements.
Cultivate Structured Problem-Solving- (Semester 1-2)
Develop a habit of breaking down complex business problems into smaller, manageable analytical questions. Practice this through case competitions, classroom assignments, and by analyzing real-world business scenarios discussed in economic newspapers.
Tools & Resources
Case study books, Business magazines (e.g., Business Today, Forbes India), Mock case interviews
Career Connection
Indian employers highly value candidates who can approach business challenges systematically and translate them into actionable analytical tasks.
Intermediate Stage
Engage in Real-World Analytics Projects- (Semester 3)
Actively seek out opportunities for mini-projects or internships where you can apply concepts learned in Business Intelligence, Predictive Analytics, and Big Data. Focus on problem definition, data cleaning, model building, and deriving actionable insights.
Tools & Resources
Kaggle competitions, Open-source datasets, Institution-led project work, Industry contact network for live projects
Career Connection
Practical project experience is crucial for building a portfolio that showcases your problem-solving capabilities to potential Indian employers.
Deep Dive into Advanced Analytical Techniques- (Semester 3)
Beyond coursework, explore specialized areas like advanced machine learning algorithms, deep learning, or specific industry applications of analytics. Participate in workshops, online courses, or read research papers to broaden your knowledge.
Tools & Resources
TensorFlow/PyTorch tutorials, Specialized MOOCs (e.g., Stanford''''s ML course), Academic journals
Career Connection
Specializing in cutting-edge techniques can differentiate you in the competitive Indian analytics job market and prepare you for advanced roles.
Network with Industry Professionals- (Semester 3)
Attend industry conferences, webinars, and networking events (physical or virtual) to connect with analytics professionals. Leverage platforms like LinkedIn to build professional relationships and gain insights into industry trends and job opportunities in India.
Tools & Resources
LinkedIn, Industry-specific meetups, Alumni network, Professional associations (e.g., NASSCOM)
Career Connection
Networking is vital for internships, mentorship, and uncovering unadvertised job opportunities in the Indian market, especially in rapidly growing sectors.
Advanced Stage
Master Communication & Storytelling with Data- (Semester 4)
Refine your ability to translate complex analytical findings into clear, compelling narratives for non-technical audiences. Practice creating impactful presentations and reports, focusing on the business implications of your analysis.
Tools & Resources
Tableau/Power BI for dashboard design, Public speaking workshops, Presentation skills courses, Peer feedback on project presentations
Career Connection
In India, analytical roles increasingly demand strong communication skills to influence business decisions, making this a critical skill for career progression.
Comprehensive Placement Preparation- (Semester 4)
Dedicate substantial time to preparing for interviews, including technical rounds, case studies, and behavioral questions. Practice coding tests, review core concepts, and participate in mock interviews tailored for analytics roles.
Tools & Resources
InterviewBit, Glassdoor interview experiences, College placement cell workshops, Peer group discussions
Career Connection
Thorough preparation significantly boosts your chances of securing placements with top Indian and multinational companies seeking analytical talent.
Specialized Domain Application & Portfolio Building- (Semester 4)
Choose a specific industry domain (e.g., Healthcare Analytics, Fintech Analytics) and apply your analytical skills to solve problems within that domain. Develop a strong portfolio of projects demonstrating your expertise, including your capstone project and summer internship.
Tools & Resources
LinkedIn profile, GitHub repository, Personal website/blog, Industry-specific datasets
Career Connection
A specialized portfolio demonstrates real-world readiness and positions you as a valuable asset for companies in specific sectors within India''''s diverse economy.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with minimum 50% marks (45% for SC/ST) from a recognized University. Candidate must have a valid score in CMAT/MAT/XAT/ATMA/CET/GPAT or any other entrance test recognized by the respective Technical University/State Government.
Duration: 4 semesters
Credits: 104 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA23-BA101 | Management & Organisational Behaviour | Core | 4 | Introduction to Management, Planning & Organising, Directing & Controlling, Organisational Behaviour, Individual Behaviour, Group Dynamics |
| MBA23-BA102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Capital Budgeting |
| MBA23-BA103 | Accounting for Management | Core | 4 | Financial Accounting Fundamentals, Financial Statement Analysis, Cost Accounting, Budgetary Control, Marginal Costing, Standard Costing |
| MBA23-BA104 | Business Statistics | Core | 4 | Introduction to Statistics, Probability & Probability Distributions, Sampling & Estimation, Hypothesis Testing, Correlation & Regression, Time Series & Forecasting |
| MBA23-BA105 | Marketing Management | Core | 4 | Marketing Concepts, Market Segmentation, Product Life Cycle, Pricing Decisions, Promotion Strategies, Distribution Channels |
| MBA23-BA106 | Business Communication | Core | 3 | Communication Process, Verbal Communication, Non-verbal Communication, Written Communication, Presentations, Business Correspondence |
| MBA23-BA107 | Computer Applications for Business (Lab) | Lab | 2 | MS Office Suite, Data Analysis Tools, Internet Applications, Database Concepts, Presentation Tools, Business Software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA23-BA201 | Operations and Supply Chain Management | Core | 4 | Operations Management, Supply Chain Management, Inventory Management, Quality Management, Project Management, Lean Operations |
| MBA23-BA202 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Capital Structure, Working Capital Management, Dividend Policy |
| MBA23-BA203 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation Management |
| MBA23-BA204 | Research Methodology | Core | 4 | Research Process, Research Design, Data Collection Methods, Sampling, Data Analysis, Report Writing |
| MBA23-BA205 | Business Environment and Ethics | Core | 3 | Indian Business Environment, Economic Reforms, Social & Cultural Environment, Business Ethics, Corporate Governance, Corporate Social Responsibility |
| MBA23-BA206 | Data Management for Business Analytics | Core | 4 | Database Concepts, SQL, Data Warehousing, ETL Process, Data Modeling, Data Governance |
| MBA23-BA207 | Statistics for Business Analytics (Lab) | Lab | 2 | Statistical Software (R/Python), Descriptive Statistics, Inferential Statistics, Regression Analysis, Hypothesis Testing, Data Visualization |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA23-BA301 | Business Intelligence & Data Warehousing | Core | 4 | Business Intelligence Concepts, Data Warehousing Architecture, ETL Tools, OLAP, Data Marts, BI Tools |
| MBA23-BA302 | Predictive Analytics | Core | 4 | Introduction to Predictive Analytics, Regression Models, Classification Models, Time Series Forecasting, Machine Learning Basics, Model Evaluation |
| MBA23-BA303 | Big Data Analytics | Core | 4 | Big Data Concepts, Hadoop Ecosystem, Spark, NoSQL Databases, Distributed Computing, Big Data Architecture |
| MBA23-BA304 | Prescriptive Analytics | Core | 4 | Optimization Techniques, Linear Programming, Non-linear Programming, Simulation, Decision Analysis, Game Theory |
| MBA23-BA305 | Data Visualization & Communication | Core | 4 | Principles of Data Visualization, Chart Types, Dashboard Design, Tableau/Power BI, Storytelling with Data, Effective Communication |
| MBA23-BA306 | Business Analytics Project | Core | 6 | Problem Definition, Data Collection, Data Preprocessing, Model Building, Interpretation, Report Writing, Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA23-BA401 | Artificial Intelligence & Machine Learning for Business | Core | 4 | AI Fundamentals, Machine Learning Algorithms, Deep Learning Basics, Natural Language Processing, Computer Vision, AI Ethics |
| MBA23-BA402 | Business Analytics Strategy & Implementation | Core | 4 | Analytics Strategy, Data Governance, Ethics in Analytics, Change Management, ROI of Analytics, Analytics Adoption |
| MBA23-BA403 | Cloud Computing for Business Analytics | Core | 4 | Cloud Fundamentals, IaaS/PaaS/SaaS, AWS/Azure/GCP for Analytics, Data Storage in Cloud, Cloud Security, Serverless Analytics |
| MBA23-BA404 | Social Media Analytics | Core | 4 | Social Media Data Sources, Sentiment Analysis, Network Analysis, Influencer Identification, Campaign Measurement, Social Media Monitoring |
| MBA23-BA405 | Project Work/Dissertation | Core | 8 | Research Question Formulation, Literature Review, Methodology, Data Collection & Analysis, Findings, Discussion, Conclusion |
| MBA23-BA406 | Summer Internship Project (SIP) | Core | 4 | Industry Problem Solving, Practical Application, Report Writing, Presentation, Industry Mentorship, Skill Development |
