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MBA in Business Analytics at Guru Nanak Dev University
Amritsar, Punjab
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About the Specialization
What is Business Analytics at Guru Nanak Dev University Amritsar?
This Business Analytics program at Guru Nanak Dev University focuses on equipping students with advanced analytical skills to transform raw data into actionable business insights. Recognizing India''''s rapidly expanding digital economy and data-driven decision-making, the curriculum emphasizes quantitative techniques, statistical modeling, and data visualization tools, preparing graduates for a dynamic industry landscape. The program''''s interdisciplinary approach integrates management principles with cutting-edge analytics methodologies.
Who Should Apply?
This program is ideal for recent graduates across diverse disciplines, including commerce, engineering, and statistics, who aspire to build a career in the data analytics domain. It also caters to working professionals seeking to upskill their analytical capabilities and transition into roles requiring data-driven decision-making. Individuals with a strong aptitude for numbers, problem-solving, and an eagerness to leverage technology for business growth will find this specialization highly rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths in India as Business Analysts, Data Scientists, Management Consultants, or Predictive Modelers in various sectors like finance, retail, IT, and healthcare. Entry-level salaries typically range from INR 4-8 lakhs per annum, with experienced professionals earning significantly more. The program aligns with the growing demand for analytics professionals, offering a strong foundation for professional certifications in data science and business intelligence.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Semester 1-2)
Actively engage with core MBA subjects (Management, Finance, Marketing, HR) to understand business processes. Use case studies to link theoretical concepts to real-world scenarios. This foundational knowledge is crucial for applying analytics effectively later.
Tools & Resources
Harvard Business Review cases, NPTEL courses on core management, industry journals
Career Connection
A strong grasp of business context ensures that analytical insights are relevant and impactful, making graduates valuable to employers seeking strategic thinkers.
Build a Strong Quantitative and Statistical Base- (Semester 1-2)
Pay close attention to Business Statistics and Research Methodology courses. Supplement classroom learning with online tutorials and practice problems in probability, hypothesis testing, and regression. This forms the bedrock for advanced analytics.
Tools & Resources
Khan Academy, Coursera (Statistics for Data Science), R/Python basic tutorials
Career Connection
Proficiency in statistics is non-negotiable for any analytics role, directly improving problem-solving abilities and readiness for analytical tools.
Develop Foundational Digital Literacy and Software Skills- (Semester 1-2)
Become highly proficient in Microsoft Excel for data manipulation and basic analysis, and other office tools. Explore introductory concepts of databases and data visualization. These are essential tools for any business professional.
Tools & Resources
Excel functions, Pivot Tables, basic SQL tutorials, online Excel courses
Career Connection
Strong software skills are entry-level requirements for almost all corporate roles, and especially for preparing data for analytics tasks.
Intermediate Stage
Deep Dive into Business Analytics Tools and Techniques- (Semester 3)
Focus intensely on Business Analytics specific subjects like Business Statistics for Analytics, Data Warehousing & Data Mining, and Predictive Modeling. Spend extra time on practical labs using Python/R or specialized software. Join hackathons or data challenges.
Tools & Resources
Kaggle, DataCamp, Analytics Vidhya, RStudio, Anaconda (Python distribution)
Career Connection
Mastery of these tools and techniques differentiates a general MBA from a specialized Business Analytics professional, directly impacting eligibility for specialist roles.
Undertake Industry Internships and Live Projects- (Semester 3 (Summer after Semester 2))
Actively seek and complete a relevant summer internship (as per MBA-307) or live projects that involve applying analytics to real business problems. Document learnings and build a portfolio of executed projects.
Tools & Resources
LinkedIn, university career services, industry networking events, company websites
Career Connection
Practical experience is highly valued by employers; internships provide exposure, networking opportunities, and a tangible demonstration of skills to prospective recruiters.
Network and Participate in Analytics Communities- (Semester 3)
Join professional groups, attend webinars, and connect with alumni and industry experts in the field of business analytics. Participate in university clubs focused on data science or business.
Tools & Resources
LinkedIn Groups, meetups, industry conferences, college alumni network
Career Connection
Networking can open doors to mentorship, job opportunities, and staying updated with industry trends, which is crucial for career progression in a fast-evolving field.
Advanced Stage
Specialize in Advanced Analytics and Visualization- (Semester 4)
Concentrate on advanced topics like Big Data Analytics, Visualization, and Prescriptive Analytics. Develop expertise in tools like Tableau, Power BI, Hadoop, or Spark. Create compelling data dashboards and reports.
Tools & Resources
Tableau Public, Power BI Desktop, documentation for Hadoop/Spark
Career Connection
High-level proficiency in advanced tools and the ability to effectively communicate insights through visualization are critical for senior analyst or data lead roles.
Focus on a Capstone Project or Dissertation- (Semester 4)
Dedicate significant effort to the Dissertation/Project Work (MBA-407). Choose a challenging business problem, apply comprehensive analytical techniques, and present a well-structured solution. This demonstrates independent research and application skills.
Tools & Resources
Academic databases, research papers, project management software, statistical software
Career Connection
A strong capstone project serves as a practical demonstration of accumulated skills and analytical prowess, significantly enhancing employability and interview performance.
Prepare for Placements and Professional Certifications- (Semester 4)
Actively engage with the placement cell, refine resumes, and practice interview skills (especially case studies and technical questions). Consider industry certifications like Microsoft Certified: Azure Data Scientist Associate or Google Data Analytics Professional Certificate to boost credentials.
Tools & Resources
University Placement Cell, mock interview platforms, online certification programs (Coursera, edX)
Career Connection
Targeted preparation increases the chances of securing desired roles. Certifications validate skills to employers and enhance market value, proving commitment to professional development.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 4 semesters / 2 years
Credits: 96 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-101T | Management Principles and Practices | Core | 4 | Introduction to Management, Planning and Decision Making, Organizing and Staffing, Directing and Leading, Controlling and Coordination |
| MBA-102T | Organizational Behavior | Core | 4 | Introduction to OB, Individual Behavior (Perception, Learning, Motivation), Group Dynamics and Teamwork, Leadership and Power, Organizational Culture and Change |
| MBA-103T | Managerial Economics | Core | 4 | Nature of Managerial Economics, Demand Analysis and Forecasting, Production and Cost Analysis, Market Structures and Pricing Decisions, Profit Management |
| MBA-104T | Accounting for Management | Core | 4 | Introduction to Accounting, Financial Statements Analysis, Cost Accounting Principles, Budgeting and Variance Analysis, Fund Flow and Cash Flow Statements |
| MBA-105T | Business Statistics | Core | 4 | Data Collection and Presentation, Measures of Central Tendency and Dispersion, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing |
| MBA-106P | Computer Applications in Business Lab | Lab | 2 | MS Word for Business Documents, MS Excel for Data Analysis, MS PowerPoint for Presentations, Internet and E-commerce Basics, Database Management Concepts |
| MBA-107P | Soft Skills and Personality Development Lab | Lab | 2 | Effective Communication Skills, Presentation and Public Speaking, Group Discussion Techniques, Interview Preparation, Professional Etiquette |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201T | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Working Capital Management |
| MBA-202T | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation and Targeting, Product and Brand Management, Pricing Strategies, Promotion and Distribution Channels |
| MBA-203T | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Recruitment, Training and Development, Performance Management, Compensation and Employee Relations |
| MBA-204T | Operations Management | Core | 4 | Introduction to Operations Management, Production Planning and Control, Inventory Management, Quality Management, Supply Chain Management |
| MBA-205T | Research Methodology | Core | 4 | Introduction to Business Research, Research Design and Hypothesis, Data Collection Methods, Sampling Techniques, Data Analysis and Report Writing |
| MBA-206P | Business Communication Lab | Lab | 2 | Written Business Communication, Oral Communication Skills, Report and Proposal Writing, Business Correspondence, Effective Listening and Feedback |
| MBA-207P | Comprehensive Viva-Voce | Project/Viva | 2 | General Management Knowledge, Current Business Affairs, Analytical Skills Assessment, Problem-Solving Abilities, Application of Core Concepts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301T | Strategic Management | Core | 4 | Concept of Strategic Management, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| MBA-302T | Entrepreneurship & Project Management | Core | 4 | Entrepreneurial Concepts, Business Plan Development, Project Identification and Appraisal, Project Financing, Project Implementation and Control |
| MBA-303T (BA-1) | Introduction to Business Analytics | Elective (Business Analytics) | 4 | Fundamentals of Business Analytics, Data Collection and Preparation, Descriptive Analytics, Predictive and Prescriptive Analytics, Data Visualization Techniques |
| MBA-304T (BA-2) | Business Statistics for Analytics | Elective (Business Analytics) | 4 | Advanced Probability Distributions, Hypothesis Testing for Business Decisions, Regression Analysis and Correlation, Time Series Analysis, Forecasting Techniques |
| MBA-305T (BA-3) | Data Warehousing & Data Mining | Elective (Business Analytics) | 4 | Data Warehousing Concepts, ETL Processes and Data Quality, Introduction to Data Mining, Classification and Clustering Techniques, Association Rule Mining |
| MBA-306P (BA-4) | Spreadsheet Modeling for Business Analytics Lab | Lab (Business Analytics) | 2 | Advanced Excel Functions, What-If Analysis and Scenario Manager, Goal Seek and Solver, Pivot Tables and Charts for Analysis, Building Interactive Dashboards |
| MBA-307 (BA-5) | Summer Training Report & Viva-Voce | Project | 2 | Summer Internship Project Execution, Report Writing and Documentation, Presentation Skills, Viva-Voce Examination, Industry Problem Solving |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-401T | International Business | Core | 4 | Introduction to International Business, Theories of International Trade, Foreign Exchange Markets, International Financial Management, Global Marketing Strategies |
| MBA-402T | Business Ethics & Corporate Governance | Core | 4 | Foundations of Business Ethics, Ethical Decision Making, Corporate Social Responsibility, Principles of Corporate Governance, Role of Board of Directors |
| MBA-403T (BA-6) | Predictive Modelling for Business Analytics | Elective (Business Analytics) | 4 | Linear and Logistic Regression, Classification Models (Decision Trees, SVM), Time Series Forecasting Models, Introduction to Machine Learning, Model Evaluation and Validation |
| MBA-404T (BA-7) | Big Data Analytics & Visualization | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Data Visualization Tools (Tableau, Power BI) |
| MBA-405T (BA-8) | Advanced Business Analytics | Elective (Business Analytics) | 4 | Prescriptive Analytics and Optimization, Simulation Modeling, Network Analytics, Text Analytics and Sentiment Analysis, Artificial Intelligence in Business |
| MBA-406P (BA-9) | Business Analytics Software Lab (Python/R) | Lab (Business Analytics) | 2 | Python for Data Analysis (Pandas, NumPy), R for Statistical Computing, Machine Learning Libraries (Scikit-learn), Data Visualization with Matplotlib/Seaborn/ggplot2, Practical Application of Algorithms |
| MBA-407 | Dissertation/Project Work | Project | 2 | Research Problem Identification, Literature Review, Methodology Design, Data Analysis and Interpretation, Report Writing and Presentation |
