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MBA in Business Analytics at Manjula K Ponda College of Management
Bhopal, Madhya Pradesh
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About the Specialization
What is Business Analytics at Manjula K Ponda College of Management Bhopal?
This Business Analytics MBA program at Manjula K Ponda College of Management focuses on equipping students with advanced analytical skills to interpret complex data, derive actionable insights, and make strategic business decisions. In the rapidly evolving Indian market, data-driven strategies are paramount. This program differentiates itself by blending core management principles with specialized tools and techniques for data analysis, catering directly to the growing industry demand for analytics professionals across various sectors.
Who Should Apply?
This program is ideal for fresh graduates with a quantitative aptitude seeking entry into fast-growing analytics roles, as well as working professionals looking to upskill their decision-making capabilities. It is also suitable for career changers transitioning into the data-driven industry. While a background in mathematics, statistics, or engineering is beneficial, any graduate with a strong analytical mindset can thrive, leveraging their prior domain knowledge.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Analyst, Analytics Consultant, or Marketing/HR/Financial Analyst in Indian companies and MNCs. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA. The program aligns with industry demands, often leading to roles that leverage professional certifications in tools like Tableau, Power BI, or Python for analytics.
Student Success Practices
Foundation Stage
Master Business Statistics and Excel- (Semester 1-2)
Dedicate time to thoroughly understand business statistics concepts and become highly proficient in Microsoft Excel for data manipulation and basic analysis. These fundamental skills are non-negotiable for any analytics role and are extensively used in initial MBA subjects.
Tools & Resources
Microsoft Excel (Advanced functions, Pivot Tables), Statistics textbooks, Online courses on Coursera/Udemy for business statistics
Career Connection
Strong statistical and Excel skills form the backbone of entry-level analyst roles, enabling efficient data handling and basic reporting, which are crucial for internship and initial placement opportunities.
Engage in Inter-Departmental Case Competitions- (Semester 1-2)
Participate actively in college-level or inter-college business case study competitions. This helps in applying theoretical knowledge, improving problem-solving skills, and working effectively in teams, often under pressure.
Tools & Resources
Case study resources (Harvard Business Review cases), College''''s case club, Peer study groups
Career Connection
These competitions enhance analytical thinking, presentation skills, and the ability to articulate solutions, all highly valued traits in management and consulting roles in the Indian job market.
Build a Strong Foundational Network- (Semester 1-2)
Actively network with faculty, alumni, and guest speakers from the industry during college events. Attend workshops and seminars to understand career trajectories and industry expectations. Early connections can provide mentorship and future opportunities.
Tools & Resources
LinkedIn, College alumni network events, Industry seminars and webinars
Career Connection
A robust professional network is invaluable in India for internships and placements, providing insights into specific company cultures and opening doors to hidden job markets.
Intermediate Stage
Learn R or Python for Data Analysis- (Semester 3-4)
Concurrently with specialized analytics subjects, dedicate significant time to self-learn and master either R or Python programming for data analysis, including libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. These are industry-standard tools.
Tools & Resources
Python (Anaconda distribution), R Studio, Online platforms (DataCamp, Kaggle, freeCodeCamp), University''''s computer labs
Career Connection
Proficiency in R/Python is a critical requirement for advanced analytics and data science roles, making graduates highly competitive for specialized positions in Indian tech and consulting firms.
Undertake Industry-Relevant Mini-Projects- (Semester 3-4)
Beyond academic requirements, seek out and complete small, practical analytics projects using publicly available datasets (e.g., from Kaggle) or real-world problems. Focus on applying predictive modeling and data mining techniques learned in class.
Tools & Resources
Kaggle.com, UCI Machine Learning Repository, GitHub for project showcasing
Career Connection
A portfolio of practical projects demonstrates applied skills to potential employers, which is highly regarded in the Indian analytics job market for validating capabilities beyond theoretical knowledge.
Pursue a Focused Summer Internship- (End of Semester 2 / During Semester 3 break)
Actively seek and secure a summer internship in a company specifically within a Business Analytics role. Prioritize gaining hands-on experience in data extraction, cleaning, analysis, and reporting under professional guidance.
Tools & Resources
College placement cell, Internship portals (Internshala, LinkedIn Jobs), Direct company applications
Career Connection
A relevant internship provides invaluable industry exposure, often leads to pre-placement offers, and significantly boosts employability for full-time analytics roles in India.
Advanced Stage
Develop Advanced Visualization and Storytelling Skills- (Semester 4)
Master data visualization tools like Tableau or Power BI. Focus on creating impactful dashboards and learning to communicate complex analytical insights clearly and concisely to non-technical stakeholders, emphasizing the ''''story behind the data''''.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop (free version), Online tutorials, YouTube channels focusing on data storytelling
Career Connection
Effective data visualization and communication are crucial for roles involving business intelligence, analytics consulting, and managerial positions where insights must be translated into business actions for Indian enterprises.
Specialize and Certify in a Niche Area- (Semester 4)
Choose a specific analytics domain (e.g., Marketing Analytics, Financial Analytics, Supply Chain Analytics) and pursue an advanced online certification. This deepens expertise and makes you a specialist, which is highly sought after by Indian companies for specific roles.
Tools & Resources
Certifications from Google Analytics, SAS, IBM, AWS, Specialized courses on platforms like edX or Coursera
Career Connection
Niche specialization with certification demonstrates commitment and advanced knowledge, significantly enhancing job prospects and potential salary in targeted analytics fields within the Indian market.
Intensive Placement Preparation and Mock Interviews- (Semester 4)
Engage in rigorous placement preparation, including mock interviews focusing on both technical analytics questions (SQL, Python, statistics) and behavioral questions. Practice presenting your major project effectively to recruiters.
Tools & Resources
Placement cell workshops, Peer mock interview groups, Online aptitude and interview preparation sites, Industry-specific interview guides
Career Connection
Thorough preparation ensures confidence and readiness for placement drives, maximizing the chances of securing desirable analytics roles with top Indian and multinational companies.
Program Structure and Curriculum
Eligibility:
- Graduation in any discipline with 50% marks (45% for SC/ST/OBC (non creamy layer))
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 | Management Process & Organizational Behavior | Core | 4 | Management Fundamentals, Planning & Organizing, Directing & Controlling, Organizational Behavior Foundations, Motivation & Leadership, Group Dynamics & Conflict |
| MBA-102 | Managerial Economics | Core | 4 | Economic Principles for Management, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing, Business Cycles, Macroeconomic Indicators |
| MBA-103 | Accounting for Managers | Core | 4 | Financial Accounting Principles, Cost and Management Accounting, Financial Statement Analysis, Budgeting and Variance Analysis, Working Capital Management, Capital Budgeting Basics |
| MBA-104 | Business Communication | Core | 4 | Communication Process, Oral and Written Communication, Non-verbal Communication, Presentation Skills, Business Correspondence, Digital Communication Ethics |
| MBA-105 | Business Statistics | Core | 4 | Data Collection and Presentation, Measures of Central Tendency and Dispersion, Probability and Distributions, Sampling Techniques, Hypothesis Testing, Correlation and Regression |
| MBA-106 | Indian Ethos & Business Ethics | Core | 4 | Indian Ethos in Management, Values and Culture, Ethical Theories, Corporate Governance, Corporate Social Responsibility (CSR), Environmental Ethics |
| MBA-107 | Digital Literacy & Data Analytics (Practical) | Core/Lab | 4 | Digital World Concepts, MS Office Proficiency, Internet and Email Usage, Cyber Security Awareness, Basic Data Analytics Tools (Excel), Data Interpretation Exercises |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201 | Research Methodology | Core | 4 | Research Process and Design, Sampling Methods, Data Collection Techniques, Questionnaire Design, Scaling and Measurement, Data Analysis and Report Writing |
| MBA-202 | Marketing Management | Core | 4 | Marketing Concepts and Environment, Market Segmentation & Targeting, Product and Pricing Decisions, Promotion and Distribution Strategies, Services Marketing, Digital Marketing Essentials |
| MBA-203 | Human Resource Management | Core | 4 | HR Functions and Planning, Recruitment and Selection, Training and Development, Performance Appraisal, Compensation and Benefits, Employee Relations |
| MBA-204 | Financial Management | Core | 4 | Financial System Overview, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Capital Structure Theories, Dividend Policy |
| MBA-205 | Operations Management | Core | 4 | Operations Strategy, Product and Process Design, Facility Layout and Location, Capacity and Inventory Planning, Quality Management, Project Management Techniques |
| MBA-206 | Business Environment | Core | 4 | Economic Environment, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, Global Business Environment, Economic Reforms in India |
| MBA-207 | Professional Skills (Practical) | Core/Lab | 4 | Personality Development, Advanced Communication Skills, Interview and Group Discussion Techniques, Negotiation Skills, Time and Stress Management, Team Building and Leadership |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301 | Strategic Management | Core | 4 | Strategic Management Process, Environmental Analysis, Strategic Formulation, Corporate Level Strategies, Business Level Strategies, Strategy Implementation and Control |
| MBA-302 | Management Information System | Core | 4 | MIS Concepts and Framework, Information Systems Types, Database Management Systems, Decision Support Systems, Enterprise Systems (ERP), E-Business and IT Security |
| MBA-BA-1 | Foundation of Business Analytics | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Data Types and Sources, Data Collection Methods, Descriptive Analytics, Inferential Analytics, Big Data Concepts |
| MBA-BA-2 | Data Mining & Warehousing | Elective (Business Analytics) | 4 | Data Warehousing Concepts, ETL Process and Data Modeling, OLAP and Data Cubes, Introduction to Data Mining, Classification and Clustering, Association Rule Mining |
| MBA-BA-3 | Predictive Modeling | Elective (Business Analytics) | 4 | Regression Analysis, Time Series Analysis, Logistic Regression, Decision Trees, Neural Networks Basics, Model Evaluation and Validation |
| MBA-303 | Summer Internship Project | Project | 2 | Industry Problem Identification, Data Collection and Analysis, Solution Recommendation, Report Writing, Presentation Skills, Practical Application of Concepts |
| MBA-304 | Viva Voce | Viva | 2 | Oral Examination, Internship Project Defense, Subject Knowledge Assessment, Communication Skills, Analytical Thinking, Problem-Solving Abilities |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-401 | Entrepreneurship & Project Management | Core | 4 | Entrepreneurial Process, Idea Generation and Feasibility, Business Plan Development, Project Identification, Project Appraisal and Analysis, Project Scheduling and Control |
| MBA-BA-4 | Data Visualization & Communication | Elective (Business Analytics) | 4 | Principles of Data Visualization, Effective Chart Types, Dashboard Design, Storytelling with Data, Data Reporting, Visualization Tools (Tableau, Power BI) |
| MBA-BA-5 | Marketing & HR Analytics | Elective (Business Analytics) | 4 | Marketing Analytics Fundamentals, Customer and Sales Analytics, Digital and Social Media Analytics, HR Analytics for Recruitment, Performance and Retention Analytics, Workforce Planning Metrics |
| MBA-BA-6 | Financial & Operations Analytics | Elective (Business Analytics) | 4 | Financial Risk Analytics, Portfolio Analytics, Fraud Detection Techniques, Supply Chain Analytics, Quality and Process Analytics, Operations Optimization |
| MBA-402 | Major Research Project | Project | 10 | Comprehensive Research Topic Selection, In-depth Literature Review, Advanced Data Collection and Analysis, Hypothesis Testing and Validation, Detailed Project Report, Research Presentation |
| MBA-403 | Viva Voce | Viva | 2 | Oral Defense of Major Project, Articulation of Research Findings, Critical Thinking and Argumentation, Understanding of Research Methodology, Presentation Skills Assessment, Overall Subject Domain Knowledge |
