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MBA in Business Analytics at Manel Srinivas Nayak Institute of Management
Dakshina Kannada, Karnataka
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About the Specialization
What is Business Analytics at Manel Srinivas Nayak Institute of Management Dakshina Kannada?
This Business Analytics program at Manel Srinivas Nayak Institute of Management focuses on equipping students with advanced analytical skills and tools to derive actionable insights from complex data. Given India''''s rapidly digitizing economy, this specialization is highly relevant, addressing the increasing demand for data-driven decision-making across various sectors. The program emphasizes a blend of theoretical knowledge and practical application, preparing graduates for key roles in the burgeoning Indian analytics industry.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the data science and analytics domain, as well as working professionals looking to upskill or transition into data-centric roles. Individuals with a strong quantitative aptitude and a keen interest in leveraging data for strategic business advantage will find this program rewarding. It also caters to career changers aspiring to join the fast-growing Indian analytics workforce.
Why Choose This Course?
Graduates of this program can expect diverse career paths such as Data Analyst, Business Intelligence Consultant, Predictive Modeler, or Machine Learning Engineer in Indian companies. Entry-level salaries typically range from INR 4-7 lakhs per annum, growing significantly with experience. The program aligns with industry-recognized certifications in data science tools, providing a strong foundation for rapid professional growth in India''''s competitive tech and consulting sectors.
Student Success Practices
Foundation Stage
Strengthen Core Quantitative Skills- (Semester 1-2)
Dedicate time to master foundational subjects like Business Statistics and Operations Research. Practice problem-solving daily to build a strong analytical base crucial for advanced analytics concepts. Form study groups to discuss complex topics and clarify doubts.
Tools & Resources
Khan Academy for Statistics, NPTEL courses for Operations Research, Reference books
Career Connection
A solid quantitative foundation is critical for excelling in data modeling and interpretation, essential skills for any Business Analytics professional.
Develop Proficiency in Spreadsheet Software- (Semester 1-2)
Become highly proficient in Microsoft Excel through regular practice. Utilize its functions for data manipulation, visualization, and basic statistical analysis, as it remains a fundamental tool in many Indian businesses for initial data handling.
Tools & Resources
Microsoft Excel tutorials, Online courses (Coursera, Udemy), Practical business case studies
Career Connection
Strong Excel skills are a common prerequisite for entry-level data roles and significantly enhance efficiency in data-related tasks.
Engage in Early Coding Exposure- (Semester 1-2)
While not a primary focus in early semesters, begin exploring basic programming concepts, especially Python. Attend introductory workshops or online courses to get comfortable with syntax and fundamental data structures. This prepares you for later specialized coding subjects.
Tools & Resources
Codecademy Python basics, HackerRank for coding challenges, Python for Everybody (Coursera)
Career Connection
Early coding exposure demystifies programming, making the transition to advanced analytics tools like Python and R smoother for future job roles.
Intermediate Stage
Undertake Industry-Relevant Mini-Projects- (Semester 3)
Actively seek and participate in mini-projects that apply analytical concepts to real-world business scenarios. Leverage institutional connections for small-scale industry problems or create mock projects based on publicly available datasets. Focus on problem definition, data collection, and basic analysis.
Tools & Resources
Kaggle datasets, Open Government Data (OGD) Platform India, Internal college hackathons
Career Connection
Practical project experience demonstrates applied knowledge, which is highly valued by Indian employers during internships and placements.
Build a Portfolio of Analytical Work- (Semester 3)
Start compiling a digital portfolio (e.g., GitHub, personal website) showcasing completed projects, data visualizations, and analytical reports. Document your methodology and insights clearly for each project. This will be a key asset during internship and job applications.
Tools & Resources
GitHub, LinkedIn profile, Personal blog/website
Career Connection
A strong portfolio acts as a tangible proof of your skills and initiative, significantly boosting your profile for recruiters in the Indian analytics job market.
Network with Industry Professionals- (Semester 3)
Attend industry seminars, guest lectures, and workshops organized by the institute or local industry bodies. Connect with professionals on LinkedIn, seeking informational interviews to understand industry trends and job roles in Business Analytics in India.
Tools & Resources
LinkedIn, Industry conferences (e.g., Data Science Congress), Alumni network events
Career Connection
Networking opens doors to internship opportunities, mentorship, and insights into the specific demands of the Indian analytics job market, aiding in career path clarification.
Advanced Stage
Specialize in a Niche and Master Tools- (Semester 4)
Choose a specific area within Business Analytics (e.g., Marketing Analytics, Financial Analytics) based on your interest and career goals. Deep dive into relevant tools like Python (Pandas, Scikit-learn), R, SQL, and visualization tools like Tableau or Power BI. Aim for proficiency, not just familiarity.
Tools & Resources
Advanced online courses (Udemy, Coursera, edX), Official documentation for tools, Specialized books
Career Connection
Specialized skills and tool mastery make you a highly sought-after candidate for specific roles in India''''s diverse analytics landscape, commanding better salary packages.
Undertake a Comprehensive Research Project- (Semester 4)
The Business Research Project (Part-II) in Semester 4 is crucial. Choose a complex, industry-relevant problem, apply advanced analytical techniques, and produce a high-quality report and presentation. This capstone project is often key for placements.
Tools & Resources
Academic research papers, Industry reports, Mentorship from faculty and industry experts
Career Connection
A well-executed research project showcases your ability to independently tackle business problems, a major differentiator in final placements at top Indian companies.
Engage in Mock Interviews and Case Preparations- (Semester 4)
Actively participate in mock interview sessions, focusing on both technical and behavioral questions specific to analytics roles. Practice solving business cases, as many Indian companies use case studies to assess problem-solving skills during interviews.
Tools & Resources
College career services, Online interview platforms, Case interview prep books/websites
Career Connection
Thorough preparation for interviews and case studies significantly improves your chances of securing preferred placements in competitive Indian analytics firms.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree with minimum 50% aggregate marks (45% for SC/ST/Category-I). Must have a valid score in PGCET/KMAT/CMAT/XAT/MAT/GMAT. As per Mangalore University Regulations.
Duration: 4 semesters / 2 years
Credits: 122 Credits
Assessment: Internal: 30% (for Theory papers), 50% (for Practical/Project papers), External: 70% (for Theory papers), 50% (for Practical/Project papers)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis and Forecasting, Production and Cost Analysis, Market Structure and Pricing Decisions, Capital Budgeting, Macroeconomic Variables and Business |
| MBA 402 | Organizational Behaviour | Core | 4 | Introduction to OB, Perception and Learning, Motivation and Leadership, Group Dynamics and Team Building, Organizational Culture and Change, Stress Management |
| MBA 403 | Accounting for Managers | Core | 4 | Introduction to Accounting, Financial Statements, Cost Accounting, Budgetary Control, Break-even Analysis, Financial Statement Analysis |
| MBA 404 | Business Statistics | Core | 4 | Introduction to Statistics, Data Representation and Measures, Probability and Distributions, Hypothesis Testing, Correlation and Regression, Time Series Analysis |
| MBA 405 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Company Law, Intellectual Property Rights, Cyber Laws |
| MBA 406 | Business Communication & Research Methods | Core | 4 | Communication Process, Oral and Written Communication, Report Writing, Research Process, Data Collection Methods, Research Design |
| MBA 407 | Indian Business Environment & Ethics | Core | 4 | Economic Environment, Political & Legal Environment, Socio-Cultural Environment, Technological Environment, Business Ethics, Corporate Governance |
| MBA 408 | Managerial Skill Development-I (Soft Skills) | Practical | 2 | Self-Awareness, Interpersonal Skills, Presentation Skills, Group Discussion, Interviewing Skills, Stress Management |
| MBA 409 | Computer Applications for Business | Practical | 2 | MS Office Suite (Word, Excel, PowerPoint), Internet and E-mail, Tally ERP, Data Analysis Tools, Cloud Computing Basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 451 | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation and Targeting, Product Management, Pricing Strategies, Promotion Mix, Channels of Distribution |
| MBA 452 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation Management |
| MBA 453 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Capital Structure |
| MBA 454 | Operations Management | Core | 4 | Introduction to Operations Management, Facilities Location and Layout, Production Planning and Control, Inventory Management, Quality Management, Project Management |
| MBA 455 | Operations Research | Core | 4 | Introduction to OR, Linear Programming, Transportation Problem, Assignment Problem, Network Analysis (PERT/CPM), Decision Theory |
| MBA 456 | Entrepreneurship & Ethics for Sustainable Development | Core | 4 | Entrepreneurship Process, Business Plan Preparation, Forms of Business Organization, Funding Sources, Social Entrepreneurship, Sustainable Development Goals |
| MBA 457 | Strategic Management | Core | 4 | Introduction to Strategic Management, Strategic Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Corporate Social Responsibility |
| MBA 458 | Managerial Skill Development-II (Quantitative Skills) | Practical | 2 | Data Interpretation, Logical Reasoning, Quantitative Aptitude, Case Study Analysis, Presentation of Quantitative Data, Problem Solving |
| MBA 459 | Internship Report & Viva Voce | Project | 4 | Summer Internship, Report Writing, Presentation Skills, Viva Voce, Industry Exposure, Practical Application of Management Concepts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 501 | International Business | Core | 4 | Introduction to International Business, Theories of International Business, Global Trade Environment, Foreign Exchange Management, International Marketing, Global Strategic Management |
| MBA 502 | Strategic Human Resource Management | Core | 4 | SHRM Framework, HR as a Strategic Partner, Talent Management, HR Scorecard, Global HRM, HR Analytics |
| MBA 503 | Business Research Project (Part-I) | Project | 4 | Problem Identification, Literature Review, Research Design, Data Collection Plan, Data Analysis Techniques, Report Structure |
| MBA BA 504 | Business Analytics | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Warehousing, Data Visualization |
| MBA BA 505 | Data Mining for Business Decisions | Elective (Business Analytics) | 4 | Introduction to Data Mining, Data Preprocessing, Classification Techniques, Clustering Techniques, Association Rule Mining, Text Mining |
| MBA BA 506 | Financial Analytics | Elective (Business Analytics) | 4 | Financial Data Sources, Portfolio Analytics, Risk Analytics, Fraud Detection, Algorithmic Trading, Financial Forecasting |
| MBA BA 507 | Marketing Analytics | Elective (Business Analytics) | 4 | Customer Analytics, Product Analytics, Pricing Analytics, Promotion Analytics, Web Analytics, Social Media Analytics |
| MBA BA 508 | HR Analytics | Elective (Business Analytics) | 4 | Introduction to HR Analytics, Workforce Planning, Recruitment Analytics, Performance Analytics, Retention Analytics, Compensation Analytics |
| MBA BA 509 | Healthcare Analytics | Elective (Business Analytics) | 4 | Healthcare Data Sources, Clinical Analytics, Operational Analytics, Financial Analytics in Healthcare, Public Health Analytics, Predictive Modeling in Healthcare |
| MBA BA 510 | Supply Chain Analytics | Elective (Business Analytics) | 4 | Supply Chain Data Management, Demand Forecasting, Inventory Optimization, Logistics Analytics, Supplier Relationship Management, Network Optimization |
| MBA BA 511 | Retail Analytics | Elective (Business Analytics) | 4 | Customer Segmentation, Sales Forecasting, Inventory Management, Store Performance Analysis, E-commerce Analytics, Loyalty Programs |
| MBA BA 512 | Web and Social Media Analytics | Elective (Business Analytics) | 4 | Web Traffic Analysis, SEO Analytics, Social Media Metrics, Sentiment Analysis, Campaign Effectiveness, Google Analytics |
| MBA BA 513 | Big Data Analytics | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce, Spark, NoSQL Databases, Big Data Technologies |
| MBA BA 514 | Artificial Intelligence for Business | Elective (Business Analytics) | 4 | Introduction to AI, Machine Learning Basics, Deep Learning Concepts, Natural Language Processing, Computer Vision, AI Applications in Business |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 551 | Management Information System & Cyber Security | Core | 4 | MIS Fundamentals, Decision Support Systems, Enterprise Systems, Cyber Security Principles, Network Security, Data Privacy |
| MBA 552 | Business Research Project (Part-II) | Project | 8 | Data Collection and Analysis, Interpretation of Results, Report Writing, Thesis Presentation, Viva Voce, Ethical Considerations |
| MBA BA 553 | Prescriptive Analytics | Elective (Business Analytics) | 4 | Introduction to Prescriptive Analytics, Optimization Techniques, Simulation Modeling, Decision Analysis, Game Theory, Predictive-Prescriptive Integration |
| MBA BA 554 | Data Visualization | Elective (Business Analytics) | 4 | Principles of Data Visualization, Chart Types, Dashboard Design, Interactive Visualizations, Tools for Visualization (Tableau, Power BI), Storytelling with Data |
| MBA BA 555 | Cloud Computing for Analytics | Elective (Business Analytics) | 4 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Cloud Data Storage, Cloud Analytics Platforms, Security in Cloud, Big Data on Cloud |
| MBA BA 556 | Python for Business Analytics | Elective (Business Analytics) | 4 | Python Basics, Data Structures, Pandas for Data Manipulation, NumPy for Numerical Operations, Matplotlib/Seaborn for Visualization, Machine Learning Libraries (Scikit-learn) |
| MBA BA 557 | R for Business Analytics | Elective (Business Analytics) | 4 | R Basics, Data Import/Export, Data Manipulation (dplyr), Data Visualization (ggplot2), Statistical Modeling in R, R Packages for Analytics |
| MBA BA 558 | Econometrics for Business | Elective (Business Analytics) | 4 | Introduction to Econometrics, Simple Regression, Multiple Regression, Time Series Econometrics, Panel Data Analysis, Econometric Software (Eviews, R) |
| MBA BA 559 | Machine Learning for Business Decisions | Elective (Business Analytics) | 4 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Ensemble Methods, Model Evaluation, Business Applications of ML |
| MBA BA 560 | Business Intelligence & Data Warehousing | Elective (Business Analytics) | 4 | BI Architecture, Data Warehousing Concepts, ETL Process, OLAP, Reporting Tools, Data Marts |
| MBA BA 561 | Risk Analytics | Elective (Business Analytics) | 4 | Risk Measurement, Credit Risk, Market Risk, Operational Risk, Risk Modeling, Regulatory Compliance |
| MBA BA 562 | Financial Modelling | Elective (Business Analytics) | 4 | Spreadsheet Modeling, Financial Statement Modeling, Valuation Models, Scenario Analysis, Sensitivity Analysis, Corporate Finance Models |
| MBA BA 563 | Deep Learning for Business | Elective (Business Analytics) | 4 | Neural Network Fundamentals, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transfer Learning, Deep Learning Frameworks (TensorFlow, PyTorch), Business Applications |
