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MBA in Business Analytics at Don Bosco Institute of Management Studies and Computer Applications
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at Don Bosco Institute of Management Studies and Computer Applications Bengaluru?
This Business Analytics program at Don Bosco Institute of Management Studies and Computer Applications focuses on equipping future managers with critical data-driven decision-making skills. India''''s rapidly expanding digital economy and the rise of data-centric businesses across sectors like e-commerce, finance, and healthcare underscore the relevance of this specialization. The program differentiates itself by integrating theoretical knowledge with practical tools and techniques, addressing the growing industry demand for analytics professionals capable of translating complex data into actionable business insights within the Indian context.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds, including commerce, science, and engineering, who seek an entry into the high-demand field of data science and business analytics. It also caters to working professionals aiming to upskill and transition into analytics roles, leveraging their domain expertise with new data capabilities. Individuals with a strong analytical bent, an interest in technology, and a desire to solve business problems using data will find this specialization particularly rewarding, providing a clear pathway into India''''s thriving analytics sector.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths such as Business Analyst, Data Scientist, Data Consultant, Marketing Analyst, Financial Analyst, and Operations Analyst in Indian and multinational companies operating in India. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals potentially earning INR 15-30 lakhs or more. The growth trajectory is steep, with opportunities to lead analytics teams or specialize in advanced areas like AI/ML. The curriculum aligns with industry-recognized skills, enhancing employability for certifications in popular analytics tools.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Semester 1-2)
Develop a strong understanding of core management concepts (Marketing, Finance, HR, Operations, Economics) as they form the bedrock for analytical applications. Focus on how data plays a role in each function.
Tools & Resources
Regularly review class notes, Investopedia for finance terms, Khan Academy for economics, Business journals, Study groups
Career Connection
A solid grasp of business context ensures that analytical insights are relevant and actionable, making graduates valuable in any business domain.
Build a Strong Statistical and Analytical Base- (Semester 1-2)
Prioritize understanding Business Statistics and Research Methods thoroughly. This includes grasping concepts of probability, hypothesis testing, regression, and data collection methodologies. Practice problem-solving rigorously.
Tools & Resources
Excel for basic statistics, R/Python basics tutorials, Textbook practice problems, Online courses on Coursera/edX for foundational statistics
Career Connection
These foundational skills are indispensable for any analytics role, enabling accurate data interpretation and sound methodology application.
Enhance Communication and Presentation Skills- (Semester 1-2)
Actively participate in class discussions, give presentations, and refine written communication. Learn to articulate complex analytical ideas clearly and concisely, a crucial skill for presenting findings to non-technical stakeholders.
Tools & Resources
Toastmasters-style clubs, Grammarly, Mock presentations with peers, Feedback on presentations
Career Connection
Effective communication ensures that valuable insights are understood and adopted by decision-makers, directly impacting career progression in client-facing or internal consulting roles.
Intermediate Stage
Advanced Stage
Program Structure and Curriculum
Eligibility:
- Graduates with a Bachelor’s Degree in any faculty / discipline from a recognized University / Institution (UGC/AICTE/AIU approved) with a minimum of 50% aggregate marks (45% for SC/ST/Category-I candidates of Karnataka). Candidates must have appeared for any of the entrance examinations like CMAT / MAT / PGCET / ATMA / KMAT / XAT / CAT / GMAT.
Duration: 2 years / 4 semesters
Credits: 90 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101 | Management and Organizational Behavior | Core | 4 | Nature of Management, Planning and Organizing, Directing and Controlling, Introduction to Organizational Behavior, Personality, Perception, and Learning, Motivation, Leadership, and Stress Management |
| MBA102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Strategies, Macroeconomic Environment, National Income and Business Cycles |
| MBA103 | Accounting for Managers | Core | 4 | Introduction to Accounting, Financial Statements Analysis, Depreciation Methods, Inventory Valuation, Cash Flow Statement, Budgeting and Variance Analysis |
| MBA104 | Business Statistics & Research Methods | Core | 4 | Introduction to Statistics, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression Analysis, Research Design and Data Collection |
| MBA105 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Environment and Research, Consumer and Industrial Buying Behavior, Market Segmentation, Targeting, and Positioning, Product and Pricing Decisions, Promotion and Distribution Decisions |
| MBA106 | Business Communication | Core | 4 | Fundamentals of Business Communication, Oral Communication Skills, Written Communication Skills, Non-verbal Communication, Presentation and Public Speaking, Business Etiquette and Cross-Cultural Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment and Selection, Training and Development, Performance Appraisal, Compensation Management, Industrial Relations and Employee Welfare |
| MBA202 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Working Capital Management, Dividend Policy and Capital Structure |
| MBA203 | Operations Management | Core | 4 | Introduction to Operations Management, Facility Location and Layout, Production Planning and Control, Inventory Management, Quality Management and TQM, Project Management Techniques |
| MBA204 | Entrepreneurship Development | Core | 4 | Concept of Entrepreneurship, Entrepreneurial Process and Characteristics, Business Plan Preparation, Sources of Finance for Startups, Small and Medium Enterprises (MSMEs), Government Policies and Challenges for Entrepreneurs |
| MBA205 | Business Environment & Ethics | Core | 4 | Economic Environment and Policy, Political, Legal, and Technological Environment, Socio-Cultural Environment, Concept of Business Ethics, Corporate Social Responsibility (CSR), Ethical Dilemmas in Business |
| MBA206 | Management Information System | Core | 4 | Introduction to MIS, Information Systems in Business, Database Management Systems, Decision Support Systems, E-commerce and M-commerce, IT Security and Cyber Law |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Company Law, Negotiable Instruments Act, Intellectual Property Rights |
| MBA302 | International Business | Core | 4 | Globalization and International Trade Theories, Balance of Payments, Foreign Exchange Markets and Risk Management, International Financial Institutions, Regional Economic Groupings, Entry Strategies into International Business |
| MBA303GE | Data Analytics for Business Decisions | Generic Elective | 4 | Introduction to Data Analytics, Data Collection and Preparation, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization Techniques |
| MBA304BA | Business Analytics for Managers | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Data Mining Concepts and Applications, Analytics Decision Frameworks, Descriptive and Diagnostic Analytics, Predictive and Prescriptive Analytics, Business Analytics Tools and Techniques |
| MBA305BA | Applied Business Statistics | Elective (Business Analytics) | 4 | Review of Probability and Distributions, Advanced Hypothesis Testing, ANOVA and Chi-Square Tests, Multiple Regression Analysis, Time Series Analysis and Forecasting, Application of Statistical Software |
| MBA306BA | Database Management Systems & Data Warehousing | Elective (Business Analytics) | 4 | Database Concepts and Models, Entity-Relationship Modeling, Structured Query Language (SQL), Normalization and Data Integrity, Data Warehousing Concepts, ETL Process and OLAP |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA401 | Strategic Management | Core | 4 | Introduction to Strategic Management, Strategic Analysis and Formulation, Strategy Implementation, Strategic Control and Evaluation, Corporate Governance, Ethics in Strategic Management |
| MBA402 | Internship & Dissertation | Project/Internship | 6 | Project Identification and Proposal, Literature Review and Research Design, Data Collection and Analysis, Report Writing and Documentation, Presentation and Viva-voce, Application of Business Research Methods |
| MBA403BA | Big Data Analytics | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases (Cassandra, MongoDB), Spark and its Components, Big Data Processing and Storage, Real-time Data Analytics |
| MBA404BA | Machine Learning for Business Analytics | Elective (Business Analytics) | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Deep Learning Fundamentals, Machine Learning in Business Applications |
| MBA405BA | Business Intelligence & Data Visualization | Elective (Business Analytics) | 4 | Introduction to Business Intelligence, BI Architecture and Components, Data Modeling for BI, Principles of Data Visualization, Dashboard Design and Storytelling, BI Tools (e.g., Tableau, Power BI) |
