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MBA in Business Analytics at Aditya Institute of Management Studies and Research
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at Aditya Institute of Management Studies and Research Bengaluru?
This Business Analytics program at Aditya Institute of Management Studies and Research focuses on equipping students with advanced analytical skills to interpret complex data for strategic business decisions. It addresses the growing demand for data-savvy professionals in the Indian market, particularly across e-commerce, finance, and healthcare sectors. The program emphasizes practical application and industry-relevant tools, preparing graduates for key analytical roles.
Who Should Apply?
This program is ideal for fresh graduates from any discipline seeking entry into data-driven roles, as well as working professionals looking to upskill in analytics. Individuals with a strong aptitude for numbers and problem-solving, and those aspiring for leadership positions in data science or business intelligence in India, will find this curriculum highly beneficial for career advancement.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Developer, or Management Consultant, with entry-level salaries often ranging from INR 4-7 LPA, growing significantly with experience. They will be well-prepared for roles in major Indian corporations and multinational companies operating in the region, aligning with dynamic industry demand.
Student Success Practices
Foundation Stage
Master Core Business Statistics and Analytical Tools- (Semester 1-2)
Dedicate time to thoroughly understand business statistics, probability, and foundational data analytics concepts taught in early semesters. Simultaneously, get hands-on with Excel for data manipulation and basic visualization, which are critical for any business role in India. Focus on problem-solving with data sets.
Tools & Resources
Khan Academy for Statistics, Microsoft Excel tutorials, VTU e-learning resources, NCERT Statistics books
Career Connection
A strong statistical base and Excel proficiency are non-negotiable for entry-level analytical roles, enabling efficient data handling and basic insights for Indian businesses across sectors.
Build Foundational Network and Communication Skills- (Semester 1-2)
Actively participate in group projects and college events to enhance teamwork and presentation skills. Join student clubs related to business or technology. Practice presenting findings clearly and concisely, focusing on business impact. Networking early with peers and faculty lays groundwork for future collaborations.
Tools & Resources
LinkedIn, Toastmasters (if available locally), College career services workshops, TED Talks for inspiration
Career Connection
Effective communication and networking enhance team collaboration, interview performance, and professional visibility, significantly boosting placement prospects in Indian corporate environments.
Explore Business Domains and Current Industry Trends- (Semester 1-2)
Regularly read business newspapers like The Economic Times and Mint, and follow industry reports by NASSCOM or Deloitte specific to India. Understand how different sectors (e-commerce, finance, manufacturing) leverage data. This helps in identifying areas of interest for specialization and projects early on.
Tools & Resources
The Economic Times, Mint, Business Standard, Industry newsletters, NASSCOM reports
Career Connection
Domain knowledge is key for applying analytics effectively. Understanding Indian industry trends helps tailor skills for relevant job roles and demonstrates foresight to recruiters, leading to better career matches.
Intermediate Stage
Develop Proficiency in Programming and Advanced Analytics Tools- (Semester 3)
Beyond theoretical knowledge, dedicate significant time to mastering programming languages like Python or R for data analysis. Get hands-on with advanced tools for data mining, big data (e.g., Hadoop, Spark concepts), and business intelligence (e.g., Power BI, Tableau). This practical skill set is highly valued in the Indian analytics job market.
Tools & Resources
Coursera/edX courses for Python/R, Kaggle for datasets and competitions, Power BI/Tableau free trials, Google Colab for practice
Career Connection
Proficiency in these tools makes you a strong candidate for analyst and BI developer roles, allowing you to directly contribute to data projects in Indian companies and gain a competitive edge.
Engage in Mini-Projects and Case Study Competitions- (Semester 3)
Apply classroom learnings to real-world mini-projects. Form teams to participate in national-level case study competitions focused on business problems. This hones problem-solving abilities and provides practical exposure, which is highly regarded by Indian recruiters as proof of applied skills.
Tools & Resources
Inter-college competitions, Industry-sponsored hackathons, Data science platforms like Analytics Vidhya, Harvard Business Review cases
Career Connection
Project experience and competition wins strengthen your resume, providing tangible evidence of your analytical capabilities and practical application of skills to potential employers.
Seek Mentorship and Explore Internship Opportunities- (Semester 3)
Identify faculty or senior industry professionals working in analytics in India and seek their guidance. Actively look for summer internships or part-time projects in startups or larger corporations. Practical exposure is invaluable for understanding corporate culture and applying academic knowledge effectively.
Tools & Resources
College placement cell, LinkedIn, Industry conferences/webinars, Mentorship platforms
Career Connection
Internships are often a direct pipeline to full-time roles in India, providing real-world experience and a chance to build professional references and valuable industry connections.
Advanced Stage
Specialize in a Niche and Build a Strong Portfolio- (Semester 4)
Choose specific elective tracks (e.g., Marketing Analytics, Financial Analytics, Machine Learning) and build deep expertise. Create a portfolio of diverse projects showcasing your specialized skills in data cleaning, modeling, and visualization. This tailored approach makes you highly attractive for niche roles in the Indian market.
Tools & Resources
GitHub for project showcases, Personal website/blog, Specialized online courses from NPTEL/Coursera
Career Connection
A strong, specialized portfolio differentiates you, proving your readiness for advanced analytical roles and increasing your chances of securing higher-paying positions in your chosen domain.
Prepare Rigorously for Placements and Interviews- (Semester 4)
Begin placement preparation early by practicing aptitude tests, technical interviews (SQL, Python, ML concepts), and HR interviews. Focus on articulating project experiences and analytical thought processes. Leverage college placement cells for mock interviews and resume reviews, crucial for the competitive Indian job market.
Tools & Resources
InterviewBit, HackerRank, College placement resources, Glassdoor for company-specific interview questions, Previous year placement papers
Career Connection
Systematic preparation directly translates into better performance in campus placements and off-campus interviews, securing desirable job offers from leading companies in India.
Stay Updated with Emerging Technologies and Certifications- (Semester 4)
The analytics field evolves rapidly. Continuously learn about new tools (e.g., cloud platforms like AWS/Azure/GCP for data engineering, advanced ML frameworks) and methodologies. Consider industry-recognized certifications (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) to enhance your credentials in India.
Tools & Resources
Online tech blogs, Medium articles, Official documentation of cloud providers, Credly for certifications, IEEE/ACM publications
Career Connection
Staying updated and certified demonstrates proactiveness and commitment, making you a valuable asset for companies seeking innovation and continuous improvement in their analytics capabilities.
Program Structure and Curriculum
Eligibility:
- Recognized Bachelor’s Degree of minimum 3 years duration obtained at least 50% (45% in case of candidate belonging to reserved category) in the qualifying Examination. KMAT / CMAT / PGCET / ATMA / MAT scores.
Duration: 2 years (4 semesters)
Credits: 100 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA11 | Management and Organizational Behavior | Core | 4 | Management Principles and Functions, Organizational Behavior Foundations, Motivation Theories and Leadership, Group Dynamics and Team Building, Organizational Culture and Change Management, Conflict and Stress Management |
| 22MBA12 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Decisions, Profit Management, Capital Budgeting under Uncertainty |
| 22MBA13 | Accounting for Managers | Core | 4 | Financial Accounting Principles, Financial Statement Analysis, Cost Accounting Concepts, Budgeting and Variance Analysis, Marginal Costing and Decision Making, Working Capital Management |
| 22MBA14 | Business Statistics | Core | 4 | Descriptive Statistics and Probability, Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression Analysis, Time Series and Forecasting |
| 22MBA15 | Legal and Business Environment | Core | 4 | Indian Contract Act, Companies Act and SEBI, Consumer Protection Act, Industrial Policies and Regulations, Monetary and Fiscal Policies, Global Economic Environment and WTO |
| 22MBA16 | Marketing Management | Core | 4 | Marketing Concepts and Environment, Consumer and Business Markets, Product and Brand Management, Pricing Strategies, Promotion and Distribution Channels, Services Marketing and Digital Marketing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA21 | Business Research Methods | Core | 4 | Research Process and Design, Data Collection Methods, Sampling Techniques, Measurement and Scaling, Data Analysis and Interpretation, Report Writing and Ethics in Research |
| 22MBA22 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money and Risk-Return, Capital Budgeting Decisions, Cost of Capital and Capital Structure, Dividend Policy Decisions, Mergers, Acquisitions and Corporate Restructuring |
| 22MBA23 | Human Resource Management | Core | 4 | HRM Functions and Strategy, Job Analysis and Design, Recruitment and Selection, Training and Development, Performance Management, Compensation, Benefits and Employee Relations |
| 22MBA24 | Operations Management | Core | 4 | Operations Strategy and Productivity, Product and Process Design, Capacity Planning and Facility Layout, Supply Chain Management, Inventory Management, Quality Management and Lean Systems |
| 22MBA25 | Data Analytics for Business Decisions | Core | 4 | Introduction to Data Analytics, Data Collection and Preparation, Descriptive Analytics Techniques, Introduction to Predictive Analytics, Data Visualization and Reporting, Applications of Analytics in Business |
| 22MBA26 | Entrepreneurship and Startup Management | Core | 4 | Entrepreneurial Process and Mindset, Business Idea Generation and Validation, Business Plan Development, Sources of Funding for Startups, Legal and Regulatory Aspects of Startups, Startup Growth Strategies and Challenges |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA31 | Strategic Management | Core | 4 | Strategy Formulation Process, Environmental Analysis (PESTEL, Porter''''s Five Forces), Internal Analysis (Resource-Based View), Corporate Level Strategies, Business Level Strategies, Strategy Implementation and Control |
| 22MBA32 | International Business | Core | 4 | Globalization and International Trade Theories, International Financial System, Foreign Direct Investment, Entry Modes into Foreign Markets, Cross-Cultural Management, Global Marketing and HR Strategies |
| 22MBA33 | Project Management & Finance | Core | 4 | Project Life Cycle and Planning, Project Scheduling (PERT/CPM), Project Risk Management, Project Cost Estimation and Budgeting, Sources of Project Finance, Project Monitoring and Evaluation |
| 22MBA381 | Data Mining for Business Decisions | Elective (Business Analytics) | 3 | Data Mining Process (CRISP-DM), Data Preprocessing Techniques, Classification Algorithms, Clustering Techniques, Association Rule Mining, Data Mining Tools and Applications |
| 22MBA382 | Big Data Analytics | Elective (Business Analytics) | 3 | Introduction to Big Data and Hadoop Ecosystem, Distributed File Systems (HDFS), MapReduce Programming, NoSQL Databases (MongoDB, Cassandra), Streaming Data Analytics, Big Data Security and Governance |
| 22MBA383 | Business Intelligence and Data Warehousing | Elective (Business Analytics) | 3 | Business Intelligence Concepts, Data Warehousing Architecture, ETL Process and Data Quality, OLAP and OLTP, Dashboarding and Reporting Tools, BI Implementation Challenges |
| 22MBA384 | Predictive Analytics | Elective (Business Analytics) | 3 | Regression Analysis (Linear, Logistic), Decision Trees and Random Forests, Time Series Forecasting, Neural Networks Basics, Ensemble Methods, Model Evaluation and Validation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA41 | Corporate Governance and Ethics | Core | 4 | Introduction to Corporate Governance, Role of Board of Directors, Stakeholder Theory and CSR, Business Ethics Principles, Ethical Decision Making Models, Whistle-blowing and Ethical Leadership |
| 22MBA481 | Machine Learning for Business | Elective (Business Analytics) | 3 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning Basics, Feature Engineering and Selection, ML Model Deployment and Ethics |
| 22MBA482 | Text Mining and Natural Language Processing | Elective (Business Analytics) | 3 | Text Data Preprocessing, Tokenization, Stemming, and Lemmatization, Sentiment Analysis, Topic Modeling, Named Entity Recognition, NLP Applications in Business |
| 22MBA483 | Marketing Analytics | Elective (Business Analytics) | 3 | Customer Lifetime Value, Market Basket Analysis, Digital Marketing Analytics, Campaign Optimization, Customer Segmentation and Churn Prediction, Marketing Mix Modeling |
| 22MBA484 | Financial Analytics | Elective (Business Analytics) | 3 | Financial Statement Analysis, Risk Analytics and Management, Portfolio Optimization, Algorithmic Trading Strategies, Credit Scoring Models, Fraud Detection Techniques |
| 22MBAMP | Internship / Project Work | Project | 6 | Problem Identification and Research Design, Literature Review and Objectives Formulation, Data Collection and Methodology, Data Analysis and Interpretation, Report Writing and Presentation, Viva Voce and Practical Application |
