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MBA in Business Analytics at Guru Teg Bahadur Institute of Management & Technology
Ludhiana, Punjab
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About the Specialization
What is Business Analytics at Guru Teg Bahadur Institute of Management & Technology Ludhiana?
This Business Analytics MBA program at Guru Teg Bahadur Institute of Management & Technology, Ludhiana, focuses on equipping students with data-driven decision-making skills. India''''s rapidly expanding digital economy and e-commerce sectors create immense demand for analytics professionals, making this program highly relevant. It differentiates itself by integrating theoretical knowledge with practical tools for business applications.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-growth field of data science and analytics within business. Working professionals looking to upskill in modern analytical techniques for strategic roles, and career changers transitioning into tech-driven business environments, will also find it beneficial. A foundational understanding of mathematics or statistics is advantageous.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths as Business Analysts, Data Scientists, Marketing Analysts, or Consultants. Entry-level salaries typically range from INR 5-8 LPA, with experienced professionals earning significantly more. The program aligns with industry certifications in tools like Python, R, and Tableau, fostering strong growth trajectories in Indian companies.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Dedicate extra time to mastering foundational subjects like Business Statistics and Managerial Economics. Utilize online platforms for practice problems and conceptual clarity, ensuring a solid base for advanced analytics.
Tools & Resources
Khan Academy, Swayam, YouTube tutorials, supplementary textbooks, study groups
Career Connection
A strong quantitative background is indispensable for understanding complex analytical models, a core requirement for any data-driven role, improving chances in initial screening and technical interviews.
Excel and Basic Programming Proficiency- (Semester 1-2)
Actively participate in the ''''Spreadsheet Modelling for Business Decisions Lab'''' and independently learn advanced Excel functions and basic Python/R. Solve case studies using these tools beyond classroom assignments.
Tools & Resources
Microsoft Excel (Solver, Data Analysis Toolpak), DataCamp, Codecademy, Kaggle for datasets
Career Connection
Proficiency in Excel is a universal business skill, and basic programming in Python/R is crucial for data manipulation and early-stage analytics roles, making you a more attractive candidate for internships.
Develop Strong Communication Skills- (Semester 1-2)
Actively participate in the Communication Skills and Business Communication Skills Lab. Focus on improving presentation skills, group discussion techniques, and professional writing. Seek feedback from peers and faculty.
Tools & Resources
Toastmasters clubs (if available), presentation software (PowerPoint, Canva), grammar checkers (Grammarly)
Career Connection
Analytical insights are useless without effective communication. Strong communication ensures you can articulate findings to non-technical stakeholders, a critical skill for leadership and client-facing analytics roles.
Intermediate Stage
Engage in Data-Driven Case Competitions- (Semester 3)
Form teams and participate in inter-college or industry-sponsored business analytics case competitions. This provides hands-on experience in applying BI, Data Mining, and Predictive Analytics to real-world problems under pressure.
Tools & Resources
Analytics Vidhya, Dare2Compete, datasets from company websites
Career Connection
Such competitions enhance problem-solving, teamwork, and presentation skills, making your resume stand out and demonstrating practical application of theoretical knowledge to potential employers.
Build a Project Portfolio- (Semester 3)
Start working on self-initiated small projects using publicly available datasets (e.g., Kaggle) applying concepts from Business Intelligence, Data Mining, and Predictive Analytics. Document your methodologies and findings professionally.
Tools & Resources
Python (libraries like Pandas, Scikit-learn), R, SQL, Tableau/Power BI for visualization, GitHub for showcasing projects
Career Connection
A strong project portfolio acts as practical proof of your skills, essential for demonstrating capability during interviews and securing specialized analytics roles.
Network with Industry Professionals- (Semester 3)
Attend industry webinars, seminars, and workshops organized by the institute or local industry bodies in Ludhiana/Punjab. Connect with professionals on LinkedIn, seeking insights into current industry trends and potential mentorship opportunities.
Tools & Resources
LinkedIn, industry association websites (e.g., NASSCOM events), college alumni network
Career Connection
Networking provides valuable insights into career paths, unadvertised job opportunities, and helps build professional relationships that can be crucial for internships and future placements.
Advanced Stage
Focus on Specialization-Specific Certifications- (Semester 4)
Pursue industry-recognized certifications relevant to Business Analytics, such as Microsoft Certified: Azure Data Scientist, Google Data Analytics Professional Certificate, or certifications in Tableau/Power BI, enhancing your specialized skill set.
Tools & Resources
Coursera, Udemy, edX, official vendor certification programs (Microsoft, Google)
Career Connection
Certifications validate your expertise in specific tools and domains, making you highly competitive for specialized roles in Big Data, Social Media Analytics, or Marketing Analytics, and can boost salary expectations.
In-depth Project/Dissertation Work & Presentation- (Semester 4)
Leverage your Project Report/Dissertation Part-II to delve deeply into a complex business problem, applying advanced analytical techniques. Seek faculty mentorship, refine your presentation skills, and prepare thoroughly for the viva-voce.
Tools & Resources
Advanced statistical software (SAS, SPSS, R, Python), visualization tools, academic databases
Career Connection
A well-executed and presented dissertation demonstrates advanced research, analytical, and problem-solving capabilities, proving readiness for high-level analytical roles and enhancing interview performance.
Targeted Placement Preparation- (Semester 4)
Actively participate in campus placement drives, mock interviews, and resume workshops. Customize your resume and cover letter for specific Business Analytics roles, highlighting projects, certifications, and relevant skills acquired.
Tools & Resources
College placement cell, online interview practice platforms (Pramp, LeetCode for technical rounds if applicable), career counseling
Career Connection
Thorough preparation ensures you are well-equipped to articulate your value proposition to potential employers, significantly increasing your chances of securing a desirable placement in top analytical firms or departments.
Program Structure and Curriculum
Eligibility:
- Graduation (Min 50% Marks for General category & 45% for SC/ST category) from a recognized University
Duration: 4 semesters / 2 years
Credits: 112 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-101 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Macroeconomics and Business Cycles |
| MBA-102 | Organisational Behaviour | Core | 4 | Introduction to OB, Individual Behaviour (Perception, Learning), Attitudes and Values, Motivation and Leadership, Group Dynamics and Team Building, Organizational Culture and Change Management |
| MBA-103 | Accounting for Management | Core | 4 | Fundamentals of Accounting, Financial Statements Analysis, Cost Accounting Concepts, Budgeting and Budgetary Control, Standard Costing and Variance Analysis, Capital Budgeting |
| MBA-104 | Business Statistics | Core | 4 | Introduction to Statistics, Measures of Central Tendency and Dispersion, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression Analysis |
| MBA-105 | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product Decisions, Pricing Decisions, Promotion Decisions, Place (Distribution) Decisions |
| MBA-106 | Business Environment | Core | 4 | Indian Business Environment Overview, Economic Environment, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, International Business Environment |
| MBA-107 | Communication Skills | Practical | 2 | Basics of Communication, Verbal and Non-verbal Communication, Written Communication (Reports, Emails), Oral Communication (Presentations, Meetings), Interpersonal Communication, Cross-cultural Communication |
| MBA-108 | Computer Applications in Management | Practical | 2 | Introduction to Computers and IT, Operating Systems and Software, Database Management Systems (DBMS), Networking and Internet, E-commerce and Digital Business, Information Systems for Management |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Capital Structure, Working Capital Management |
| MBA-202 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Recruitment, Selection and Induction, Training and Development, Performance Management, Compensation Management |
| MBA-203 | Operations Management | Core | 4 | Introduction to Operations Management, Operations Strategy, Product Design and Process Selection, Location and Layout Decisions, Inventory Management, Supply Chain Management |
| MBA-204 | Research Methodology | Core | 4 | Introduction to Research, Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing |
| MBA-205 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act, Intellectual Property Rights |
| MBA-206 | Business Analytics | Core | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization, Big Data Concepts |
| MBA-207 | Business Communication Skills Lab | Practical | 2 | Presentation Skills Practice, Group Discussion Techniques, Interview Skills Practice, Role Playing Scenarios, Business Writing Practice, Public Speaking Exercises |
| MBA-208 | Spreadsheet Modelling for Business Decisions Lab | Practical | 2 | Excel Basics for Business, Data Analysis Tools in Excel, Financial Modeling in Excel, Optimization using Solver, Statistical Functions, Dashboards and Reporting |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301 | Strategic Management | Core | 4 | Concept of Strategy, Strategic Analysis (SWOT, PESTEL), Strategy Formulation, Strategy Implementation, Strategic Control, Corporate Governance and Ethics |
| MBA-302 | Entrepreneurship Development | Core | 4 | Concept of Entrepreneurship, Idea Generation and Opportunity Analysis, Business Plan Preparation, Sources of Finance for Startups, Legal and Regulatory Framework, Growth Strategies and Challenges |
| MBA-BA303A | Business Intelligence | Elective | 4 | Introduction to Business Intelligence, Data Warehousing, ETL Processes, Data Mining Techniques, Reporting and Dashboarding, BI Tools and Applications |
| MBA-BA304A | Data Mining for Business Decisions | Elective | 4 | Introduction to Data Mining, Data Preprocessing, Classification Algorithms, Clustering Techniques, Association Rule Mining, Text Mining and Web Mining |
| MBA-BA305A | Predictive Analytics for Business | Elective | 4 | Introduction to Predictive Analytics, Regression Analysis, Time Series Forecasting, Decision Trees, Neural Networks, Model Evaluation and Deployment |
| MBA-306 | Open Elective | Open Elective | 4 | Subjects from other functional areas like Finance, HR, Marketing |
| MBA-307 | Project Report/Dissertation Part-I | Project | 6 | Problem Identification, Literature Review, Research Design Formulation, Data Collection Planning, Preliminary Data Analysis, Proposal Writing and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-401 | International Business Management | Core | 4 | Introduction to International Business, Theories of International Trade, Foreign Exchange Market, International Financial Management, Global Marketing Strategies, International HR Management |
| MBA-BA402A | Big Data Analytics | Elective | 4 | Introduction to Big Data, Hadoop Ecosystem, NoSQL Databases, Distributed Processing (Spark), Data Lakes and Data Warehouses, Real-time Analytics |
| MBA-BA403A | Social Media Analytics | Elective | 4 | Introduction to Social Media Analytics, Social Media Data Collection, Sentiment Analysis, Network Analysis, Content and Influencer Analytics, Social Media Monitoring Tools |
| MBA-BA404A | Marketing Analytics | Elective | 4 | Introduction to Marketing Analytics, Customer Lifetime Value, Market Mix Modeling, Campaign Performance Analysis, Web Analytics, Pricing and Promotion Analytics |
| MBA-405 | Project Report/Dissertation Part-II | Project | 10 | Advanced Data Analysis, Interpretation of Findings, Report Writing and Structuring, Recommendation Development, Final Presentation, Viva-Voce Preparation |
| MBA-406 | Summer Training | Project | 4 | Industry Immersion, Practical Skill Application, Corporate Problem Solving, Mentorship and Networking, Report Documentation, Presentation of Findings |
