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MBA in Business Analytics at Bhadra Institute of Management & Information Science Studies
Davangere, Karnataka
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About the Specialization
What is Business Analytics at Bhadra Institute of Management & Information Science Studies Davangere?
This Business Analytics program at Bhadra Institute of Management & Information Studies focuses on equipping students with advanced analytical skills to interpret complex business data. In the rapidly digitizing Indian economy, data-driven decision-making is paramount, making this specialization crucial for navigating competitive market landscapes and identifying strategic opportunities. It uniquely blends managerial insights with robust analytical techniques.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the burgeoning field of data science and analytics, offering a strong foundation. It also caters to working professionals aiming to upskill in data interpretation and strategic analytics for career advancement. Furthermore, career changers from conventional domains looking to transition into data-intensive roles within Indian industries will find this curriculum highly beneficial.
Why Choose This Course?
Graduates can expect diverse career paths in India, including Data Analyst, Business Intelligence Analyst, Marketing Analyst, Financial Analyst, and Consultant roles. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning 10-25+ LPA. The program aligns with industry certifications in tools like Python, R, and Tableau, fostering significant growth trajectories in Indian tech and consulting firms.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Semester 1-2)
Focus intensely on foundational subjects like Managerial Economics, Business Statistics, and Financial Management. These are critical for understanding business context before applying analytics. Engage in case studies to link theory with practical Indian business scenarios and enhance problem-solving.
Tools & Resources
Harvard Business Review cases, NPTEL courses on core management, Economic Times for current affairs
Career Connection
A strong grasp of business fundamentals allows graduates to interpret analytical results in a meaningful strategic context, making them more effective in decision-making roles within Indian companies.
Develop Quantitative and Analytical Skills- (Semester 1-2)
Build a solid base in business statistics and operations research. Practice problem-solving using tools like Excel. Form study groups to tackle complex quantitative problems and ensure conceptual clarity regularly, preparing for advanced analytical methods.
Tools & Resources
Khan Academy for statistics, Excel tutorials, PGCET/KMAT quantitative aptitude materials
Career Connection
Essential for any analytics role, these skills form the bedrock for advanced predictive and descriptive modeling, crucial for entry-level and mid-level data analyst positions in India.
Enhance Communication & Presentation Skills- (Semester 1-2)
Actively participate in presentations, group discussions, and role-plays. Focus on clearly articulating business problems and solutions, especially through the Business Communication subject. Seek feedback from professors and peers to refine speaking and writing abilities consistently.
Tools & Resources
Toastmasters International (if available), Online public speaking courses, Peer feedback sessions
Career Connection
Strong communication is vital for presenting analytical insights to non-technical stakeholders in Indian corporate settings, significantly improving project leadership and consulting career prospects.
Intermediate Stage
Deep Dive into Specialization Tools and Techniques- (Semester 3)
Dedicate significant time to mastering core analytics tools and techniques taught in subjects like Data Analytics Using Excel, Data Warehousing, and Big Data Analytics. Work on mini-projects to apply these concepts practically and build confidence in data handling.
Tools & Resources
Kaggle datasets, Free courses on Coursera/edX for Python/R/Tableau, LinkedIn Learning
Career Connection
Practical proficiency in industry-standard tools directly translates to readiness for specific analytics roles in the Indian market and better performance in technical interviews and job functions.
Engage in Industry-Relevant Projects & Internships- (Semester 3-4)
Actively seek out internships or live projects that align with Business Analytics, even if unpaid initially. Collaborate with local startups or SMEs to gain real-world data experience. Document every project meticulously to build a robust portfolio.
Tools & Resources
College placement cell, LinkedIn, Internshala, Local business networks
Career Connection
Practical experience through internships and projects builds a strong portfolio, highly valued by Indian recruiters, and often leads to pre-placement offers or direct job opportunities.
Network with Professionals & Participate in Competitions- (Semester 3-4)
Attend industry meetups, webinars, and conferences (virtual or local) focused on data analytics in India. Participate in hackathons and data science competitions to test skills, gain exposure, and build a professional network within the analytics community.
Tools & Resources
Data Science Community meetups, Analytics Vidhya, GitHub, Local university tech fests
Career Connection
Expands professional contacts, opens doors to mentorship and potential job referrals, and enhances visibility for placement opportunities within the competitive Indian analytics ecosystem.
Advanced Stage
Specialize and Build a Portfolio- (Semester 4)
Focus on a niche within Business Analytics (e.g., Marketing Analytics, Financial Analytics, Supply Chain Analytics). Develop 2-3 in-depth projects demonstrating expertise in these areas, using advanced tools like R/Python and visualization software, for your capstone project.
Tools & Resources
GitHub for project showcasing, Industry-specific datasets, Advanced courses on specific analytics domains
Career Connection
A specialized portfolio showcases deep expertise, making candidates highly attractive for specific roles in Indian companies like FinTechs, E-commerce, or specialized consulting firms, commanding better compensation.
Intensive Placement Preparation- (Semester 4)
Start rigorous preparation for campus placements focusing on quantitative aptitude, logical reasoning, and case study interviews. Practice HR interview questions tailored to the Indian job market and conduct mock interviews to refine responses and confidence.
Tools & Resources
Placement training provided by the institute, Online aptitude test platforms (e.g., IndiaBix), Mock interview sessions
Career Connection
Maximizes chances of securing desired roles with competitive packages in leading Indian and multinational companies, ensuring a smooth transition from academics to corporate life.
Develop Leadership and Ethical Data Handling Skills- (Semester 4)
Take on leadership roles in student clubs or projects. Understand the ethical implications of data privacy and AI bias, crucial in the evolving regulatory landscape of India. Participate in discussions on responsible AI and data governance principles.
Tools & Resources
Ethics in AI/Data Science workshops, Industry reports on data privacy (e.g., NASSCOM), Leadership training programs
Career Connection
Beyond technical skills, ethical leadership is highly valued for managerial and team lead positions in the long run, especially with India''''s growing focus on data protection laws and corporate governance.
Program Structure and Curriculum
Eligibility:
- Any Bachelor’s Degree with 50% marks (45% for SC/ST/Cat-I) & Valid score in PGCET/KMAT/CMAT/MAT/XAT/ATMA/CAT/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 |
|---|---|---|---|---|
| 21MBA101 | MANAGERIAL ECONOMICS | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structure, Pricing Policies |
| 21MBA102 | ORGANIZATIONAL BEHAVIOUR | Core | 4 | Introduction to Organizational Behavior, Individual Behavior, Group Behavior, Organizational Change, Leadership |
| 21MBA103 | ACCOUNTING FOR MANAGERS | Core | 4 | Introduction to Accounting, Financial Statements, Cost Accounting, Budgetary Control, Capital Budgeting |
| 21MBA104 | BUSINESS STATISTICS | Core | 4 | Introduction to Statistics, Probability Theory, Sampling and Estimation, Hypothesis Testing, Correlation and Regression |
| 21MBA105 | INDIAN BUSINESS ENVIRONMENT | Core | 4 | Economic Reforms, Social-Cultural Environment, Political and Legal Environment, Technological Environment, Global Business Environment |
| 21MBA106 | BUSINESS COMMUNICATION | Core | 4 | Communication Process, Oral Communication, Written Communication, Non-Verbal Communication, Presentation Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MBA201 | MARKETING MANAGEMENT | Core | 4 | Marketing Concepts, Consumer Behavior, Marketing Mix, Product Life Cycle, Digital Marketing |
| 21MBA202 | HUMAN RESOURCE MANAGEMENT | Core | 4 | HR Functions, HR Planning, Recruitment & Selection, Training & Development, Performance Management |
| 21MBA203 | FINANCIAL MANAGEMENT | Core | 4 | Financial Goals, Capital Structure, Working Capital Management, Dividend Policy, Financial Markets |
| 21MBA204 | OPERATIONS MANAGEMENT | Core | 4 | Operations Strategy, Facility Location, Production Planning, Inventory Management, Quality Management |
| 21MBA205 | BUSINESS RESEARCH METHODS | Core | 4 | Research Process, Research Design, Data Collection, Sampling Techniques, Data Analysis |
| 21MBA206 | OPERATIONS RESEARCH | Core | 4 | Linear Programming, Transportation Problem, Assignment Problem, Network Analysis, Game Theory |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MBA301 | STRATEGIC MANAGEMENT | Core | 4 | Strategic Planning, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| 21MBA302 | ENTREPRENEURSHIP DEVELOPMENT | Core | 4 | Entrepreneurial Process, Business Idea Generation, Business Plan, Sources of Finance, Small Business Management |
| 21MBA303 | SOFT SKILLS FOR MANAGERS | Soft Skill | 2 | Interpersonal Skills, Time Management, Stress Management, Conflict Resolution, Team Building |
| 21MBA304 (BA) | DATA ANALYTICS USING EXCEL | Elective (Business Analytics) | 4 | Introduction to Excel for Data Analysis, Data Preparation, Data Visualization, Statistical Functions, Pivot Tables |
| 21MBA305 (BA) | DATA WAREHOUSING AND DATA MINING | Elective (Business Analytics) | 4 | Data Warehousing Concepts, ETL Process, Data Mining Techniques, Classification, Clustering |
| 21MBA306 (BA) | BIG DATA ANALYTICS | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem, Spark, NoSQL Databases, Big Data Applications |
| 21MBA307 (BA) | MARKETING ANALYTICS | Elective (Business Analytics) | 4 | Introduction to Marketing Analytics, Customer Analytics, Pricing Analytics, Campaign Analytics, Web Analytics |
| 21MBA308 (BA) | FINANCIAL ANALYTICS | Elective (Business Analytics) | 4 | Introduction to Financial Analytics, Risk Analytics, Investment Analytics, Portfolio Management, Financial Modeling |
| 21MBA309 (BA) | HR ANALYTICS | Elective (Business Analytics) | 4 | Introduction to HR Analytics, Workforce Planning, Recruitment Analytics, Performance Analytics, Retention Analytics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MBA401 | INTERNATIONAL BUSINESS | Core | 4 | Globalization, International Trade Theories, International Financial Markets, Cross-Cultural Management, Global Marketing |
| 21MBA402 | PROJECT WORK | Project | 8 | Problem Identification, Literature Review, Methodology, Data Analysis, Report Writing |
| 21MBA403 (BA) | BUSINESS ANALYTICS TOOLS | Elective (Business Analytics) | 4 | Introduction to R/Python, Data Manipulation, Statistical Analysis, Machine Learning Algorithms, Data Visualization Libraries |
| 21MBA404 (BA) | PREDICTIVE ANALYTICS | Elective (Business Analytics) | 4 | Regression Analysis, Classification Models, Time Series Analysis, Forecasting Techniques, Model Evaluation |
| 21MBA405 (BA) | DATA VISUALIZATION | Elective (Business Analytics) | 4 | Principles of Data Visualization, Chart Types, Dashboard Design, Tableau/Power BI, Storytelling with Data |
| 21MBA406 (BA) | SUPPLY CHAIN ANALYTICS | Elective (Business Analytics) | 4 | Supply Chain Optimization, Demand Forecasting, Inventory Optimization, Logistics Analytics, Network Design |
| 21MBA407 (BA) | RETAIL ANALYTICS | Elective (Business Analytics) | 4 | Retail Data Sources, Customer Segmentation, Sales Forecasting, Merchandising Analytics, Store Operations Analytics |
| 21MBA408 (BA) | INTERNSHIP | Elective (Business Analytics) | 4 | Industry Exposure, Practical Skill Application, Report Writing, Presentation Skills, Project Implementation |
