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MBA in Business Analytics at Bapuji Academy of Management and Research
Davangere, Karnataka
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About the Specialization
What is Business Analytics at Bapuji Academy of Management and Research Davangere?
This Business Analytics program at Bapuji Academy of Management and Research focuses on equipping students with advanced analytical skills to extract actionable insights from complex data. Given the rapid digital transformation and data explosion in India, the program is highly relevant, preparing professionals for data-driven decision-making. It integrates statistical, computational, and business knowledge to address real-world challenges across various industries in the Indian market.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-demand field of data science and analytics, offering a robust foundation in tools and techniques. It also caters to working professionals looking to upskill in analytics to enhance their career prospects or transition into data-centric roles. Individuals with a strong quantitative aptitude and a keen interest in business problem-solving would find this program particularly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Scientist, Data Engineer, and Management Consultant across sectors like e-commerce, banking, healthcare, and telecom. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The program aligns with industry needs, fostering skills critical for certifications in tools like Python, R, SQL, Tableau, and Power BI, accelerating growth in Indian companies.
Student Success Practices
Foundation Stage
Strengthen Quantitative & Analytical Base- (Semester 1-2)
Focus on excelling in Business Statistics and Quantitative Techniques. Utilize online platforms for conceptual clarity and practice problems regularly to build a solid mathematical foundation.
Tools & Resources
Khan Academy, NPTEL, Specific textbooks
Career Connection
A strong quantitative foundation is critical for all higher-level analytics courses and is a primary screening criterion for analytics roles in India.
Master Core Business Concepts- (Semester 1-2)
Develop a holistic understanding of marketing, finance, and human resources. Actively participate in case studies and group discussions to link analytical skills with business scenarios.
Tools & Resources
Harvard Business Review cases, Industry reports, Business newspapers
Career Connection
Business acumen is essential for any successful analyst; it ensures insights are relevant and actionable within an organizational context.
Build Foundational IT & Communication Skills- (Semester 1-2)
Become proficient in MS Office Suite and basic data management. Simultaneously, hone presentation and business communication skills through class presentations and mock interviews.
Tools & Resources
Microsoft Learn, LinkedIn Learning, College communication workshops
Career Connection
Effective communication of complex data insights is as crucial as the analysis itself for gaining stakeholder buy-in and career progression.
Intermediate Stage
Deep Dive into Data Technologies- (Semester 3)
Actively engage with courses like Data Warehousing, Data Mining, and Business Intelligence. Work on mini-projects using tools like SQL for database management and exploratory data analysis.
Tools & Resources
SQL tutorials (W3Schools, Mode Analytics), Kaggle, Tableau Public, Power BI Desktop
Career Connection
Proficiency in data extraction, transformation, and foundational BI tools is a prerequisite for most junior analytics positions in the Indian market.
Explore Big Data Ecosystems- (Semester 3)
Gain conceptual understanding and hands-on exposure to Big Data technologies like Hadoop and Spark through workshops, online courses, and academic projects.
Tools & Resources
Cloudera/Hortonworks sandboxes (if available), Databricks community edition, Online courses (edX/Coursera)
Career Connection
Understanding Big Data is vital for roles in organizations dealing with large datasets, providing a competitive edge in the Indian job market.
Cultivate Critical Thinking & Problem-Solving- (Semester 3)
Actively participate in case competitions and industry problem-solving challenges. Apply theoretical knowledge from Strategic Management to real-world business scenarios.
Tools & Resources
Indian B-school case competitions, Harvard Business Publishing case studies, Industry webinars
Career Connection
The ability to translate business problems into analytical questions and derive strategic solutions is highly valued by Indian recruiters.
Advanced Stage
Master Machine Learning for Business- (Semester 4)
Focus intensely on Machine Learning concepts for business analytics. Implement various algorithms (regression, classification, clustering) using Python or R on diverse datasets.
Tools & Resources
Python (scikit-learn, pandas), R (caret, tidyverse), Kaggle competitions, Google Colab
Career Connection
ML skills are foundational for roles like Data Scientist and Advanced Business Analyst, commanding higher salaries in India.
Develop Data Visualization & Communication Expertise- (Semester 4)
Build a strong portfolio of interactive dashboards and reports using tools like Tableau or Power BI. Practice storytelling with data to effectively communicate insights to non-technical stakeholders.
Tools & Resources
Tableau Public, Power BI community, Dribbble for inspiration, Presentation skills workshops
Career Connection
Excellent visualization and communication skills bridge the gap between technical analysis and business decisions, crucial for leadership roles.
Execute a Capstone Project & Seek Industry Internship- (Semester 4)
Undertake a comprehensive project applying all learned skills to a real-world business problem. Secure an internship to gain practical industry experience and build professional networks.
Tools & Resources
Faculty mentors, Industry contacts, Project management tools, Institutional placement cell
Career Connection
The capstone project and internship are crucial for demonstrating practical application, often leading directly to pre-placement offers or securing first jobs in Indian companies.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree (10+2+3 or 10+2+4 pattern) from a recognized university with at least 50% aggregate marks (45% for SC/ST/CAT-1 candidates of Karnataka). Must have appeared for a valid entrance exam (KMAT/PGCET/CMAT/XAT/MAT/ATMA/GMAT).
Duration: 4 semesters / 2 years
Credits: 96 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA1.1 | Management and Organizational Behavior | Core | 4 | Management functions and roles, Organizational Behavior concepts, Personality and Perception, Motivation theories, Leadership and Group dynamics |
| MBA1.2 | Managerial Economics | Core | 4 | Demand and Supply analysis, Production and Cost theory, Market structures and pricing, National Income concepts, Business cycles |
| MBA1.3 | Accounting for Managers | Core | 4 | Financial accounting principles, Preparation of financial statements, Cost accounting concepts, Budgeting and Variance analysis, Financial ratio analysis |
| MBA1.4 | Business Statistics | Core | 4 | Data collection and presentation, Measures of central tendency and dispersion, Probability distributions, Sampling and Hypothesis testing, Correlation and Regression analysis |
| MBA1.5 | Business Communication | Core | 4 | Principles of effective communication, Oral and written communication, Presentation skills, Business reports and correspondence, Intercultural communication |
| MBA1.6 | Computer Applications in Business | Core | 4 | MS Office applications, Data organization and analysis tools, Internet and e-business applications, Database management basics, Ethical hacking and cybersecurity awareness |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2.1 | Marketing Management | Core | 4 | Marketing concepts and philosophies, Consumer behavior, Market segmentation and targeting, Product and Pricing strategies, Promotion and Distribution channels |
| MBA2.2 | Human Resource Management | Core | 4 | HRM functions and challenges, HR planning and recruitment, Training and development, Performance management, Compensation and employee welfare |
| MBA2.3 | Financial Management | Core | 4 | Financial objectives and decisions, Capital budgeting techniques, Working capital management, Capital structure theories, Dividend policy decisions |
| MBA2.4 | Quantitative Techniques for Management | Core | 4 | Operations Research introduction, Linear Programming, Transportation and Assignment problems, Network analysis (PERT/CPM), Decision theory and Queuing models |
| MBA2.5 | Research Methodology | Core | 4 | Research design process, Data collection methods, Sampling techniques, Data analysis and interpretation, Report writing and ethics in research |
| MBA2.6 | Entrepreneurship Development and Business Ethics | Core | 4 | Concept of entrepreneurship, Business plan development, Startup ecosystem in India, Ethical dilemmas in business, Corporate social responsibility |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA3.1 | Strategic Management | Core | 4 | Strategic analysis and formulation, Strategy implementation, Competitive advantage, Corporate level strategies, Strategic evaluation and control |
| MBA3.2 | International Business | Core | 4 | Globalization and trade theories, Foreign exchange markets, MNCs and international business strategies, Cross-cultural management, International marketing and finance |
| MBA3.3 | Data Warehousing & Data Mining | Discipline Specific Elective (Business Analytics) | 4 | Data warehousing architecture, ETL processes, Data cubes and OLAP, Data mining techniques (Classification, Clustering), Association rule mining |
| MBA3.4 | Business Intelligence | Discipline Specific Elective (Business Analytics) | 4 | Business Intelligence architecture, Data visualization and dashboards, Reporting tools and techniques, Online Analytical Processing (OLAP), Decision Support Systems (DSS) |
| MBA3.5 | Big Data Analytics | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop ecosystem (HDFS, MapReduce), NoSQL databases, Spark for Big Data processing, Cloud-based analytics platforms |
| MBA GE3.1 / MBA SD3.1 | Skill Development | Generic Elective / Skill Development | 4 | Soft skills development, Leadership and teamwork, Problem-solving and decision-making, Communication and presentation skills, Professional ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA4.1 | Project Management | Core | 4 | Project life cycle and phases, Project planning and scheduling, Risk management in projects, Cost control and budgeting, Agile project management methodologies |
| MBA4.2 | Corporate Governance & Ethics | Core | 4 | Principles of corporate governance, Board of directors and their roles, Stakeholder responsibilities, Ethical leadership in organizations, Corporate Social Responsibility practices |
| MBA4.3 | Machine Learning for Business Analytics | Discipline Specific Elective (Business Analytics) | 4 | Supervised learning algorithms, Unsupervised learning techniques, Regression and Classification models, Clustering methods, Deep learning fundamentals and applications |
| MBA4.4 | Data Visualization & Reporting | Discipline Specific Elective (Business Analytics) | 4 | Principles of effective data visualization, Dashboard design and storytelling, Tools like Tableau and Power BI, Infographics and interactive visualizations, Automated reporting and data integrity |
| MBA4.5 | Prescriptive Analytics & Optimization | Discipline Specific Elective (Business Analytics) | 4 | Introduction to prescriptive analytics, Optimization models (Linear Programming), Simulation techniques, Decision analysis and forecasting, Applications in supply chain and operations |
| MBA PW4.1 | Major Project Work / Internship & Viva-Voce | Project Work / Internship | 4 | Problem identification and definition, Literature review and research design, Data collection and analysis, Solution development and implementation, Report writing, presentation, and viva-voce |
