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M-B-A in Business Analytics at Kalinga University
Raipur, Chhattisgarh
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About the Specialization
What is Business Analytics at Kalinga University Raipur?
This Business Analytics program at Kalinga University focuses on equipping future managers with advanced analytical skills to interpret complex data, derive actionable insights, and drive strategic business decisions. In the rapidly evolving Indian corporate landscape, where data-driven strategies are paramount, this program emphasizes a blend of theoretical knowledge and practical application, preparing students to tackle real-world challenges with cutting-edge tools and techniques.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-demand field of data science and business intelligence, as well as working professionals looking to upskill or transition into analytical roles. Aspiring managers with a keen interest in data interpretation, problem-solving, and strategic thinking will find this specialization particularly rewarding. Candidates with a quantitative background or a strong aptitude for statistics and technology will benefit significantly.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Operations Research Analyst. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals commanding INR 10-25 LPA or more. The curriculum aligns with industry certifications like Tableau, Power BI, and Python for Data Science, fostering growth trajectories in analytics-driven Indian companies and MNCs.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and Analytical Base- (Semester 1-2)
Focus intensely on subjects like Business Statistics and Research Methods, Managerial Economics, and Financial & Management Accounting. Actively participate in labs (Computer Application in Management, Data Analytics for Business Decisions) to gain proficiency in MS Excel, statistical software (R/Python basics), and data visualization tools. Seek additional online courses for foundational statistics and programming.
Tools & Resources
NPTEL courses on Statistics, Coursera/edX for ''''Introduction to R/Python'''', MS Excel advanced tutorials, Practice problem sets from textbooks
Career Connection
A solid foundation in quantitative methods and data handling is crucial for any business analytics role, enabling effective data interpretation and problem-solving.
Enhance Communication and Presentation Skills- (Semester 1-2)
Leverage the Communication Skills & Personality Development course by actively practicing public speaking, group discussions, and presentations. Join college debate clubs or Toastmasters-like groups. Seek opportunities to present project work to faculty and peers, focusing on clearly articulating analytical findings.
Tools & Resources
Toastmasters International, TED Talks for inspiration, Online guides for effective presentation design
Career Connection
Effectively communicating complex data insights to non-technical stakeholders is a critical skill for business analysts to influence decision-making.
Develop Problem-Solving Aptitude- (Semester 1-2)
Engage with case studies in subjects like Marketing Management and Financial Management, applying theoretical knowledge to real-world business problems. Actively solve analytical puzzles and logical reasoning questions to sharpen critical thinking. Participate in introductory business quiz competitions.
Tools & Resources
Online aptitude test platforms (e.g., Indiabix), Harvard Business Review case studies, Local college quiz competitions
Career Connection
Employers in India highly value candidates who can think critically and apply analytical frameworks to solve business challenges.
Intermediate Stage
Specialise in Core Analytics Technologies- (Semester 3)
Dive deep into Database Management for Analytics, Predictive Modeling, and Data Visualization. Master SQL, gain practical experience with Python/R for statistical modeling, and become proficient in a data visualization tool like Tableau or Power BI. Seek out certifications in these technologies.
Tools & Resources
SQLZoo, Kaggle datasets for practice, Tableau Public, Microsoft Power BI Desktop, Online courses for Python/R for Data Science
Career Connection
These are foundational technical skills directly required for Business Analyst and Data Scientist roles in Indian companies.
Gain Practical Industry Exposure through Internship- (During and after Semester 2, before Semester 3)
Actively seek and complete a summer internship (as part of MBA2BA306) in a data-driven role within a relevant industry. Focus on understanding real business problems, contributing to data analysis projects, and networking with professionals. Document all learnings and build a strong project report.
Tools & Resources
Internship search portals (LinkedIn, Internshala, Naukri), University career services, Professional networking events
Career Connection
Internships provide invaluable practical experience, bridge academic learning with industry demands, and often lead to pre-placement offers in India.
Participate in Data Science Competitions and Hackathons- (Semester 3 onwards)
Join online platforms like Kaggle, Analytics Vidhya, or participate in university/corporate-sponsored hackathons. Apply learned predictive modeling and data visualization skills to solve real-world datasets, build a portfolio of projects, and learn from top performers.
Tools & Resources
Kaggle.com, AnalyticsVidhya.com, GitHub for project showcasing
Career Connection
Showcasing practical projects and competition wins significantly boosts your resume for analytics roles and demonstrates problem-solving prowess to Indian employers.
Advanced Stage
Master Advanced Analytics and AI/ML Applications- (Semester 4)
Focus on subjects like Artificial Intelligence and Machine Learning in Business, Big Data Technologies, and Marketing Analytics. Understand the practical applications of AI/ML algorithms, Big Data frameworks (Hadoop, Spark), and specific industry analytics. Develop capstone projects leveraging these advanced tools.
Tools & Resources
AWS/Azure/GCP free tier for cloud big data, TensorFlow/PyTorch for ML, Advanced online courses in specific AI/ML domains, Industry whitepapers
Career Connection
Staying updated with AI/ML and Big Data is crucial for leadership roles in analytics and for securing positions in cutting-edge tech companies in India.
Develop a Comprehensive Project/Dissertation- (Semester 4)
Undertake a significant research project or dissertation (MBA2BA406) that addresses a complex business problem using advanced analytical techniques. This should be a culmination of all learned skills, demonstrating your ability to independently conceptualize, execute, and present a data-driven solution.
Tools & Resources
Academic research papers, Industry reports, Statistical software (R/Python), Visualization tools
Career Connection
A well-executed project acts as a powerful portfolio piece, showcasing your expertise and research capabilities to potential employers during final placements.
Prepare for Placements and Professional Networking- (Semester 4 (especially towards the end))
Actively engage with the university''''s placement cell. Refine your resume, prepare for technical and HR interviews, and practice aptitude tests. Network with alumni and industry professionals through LinkedIn and campus recruitment events to understand industry expectations and uncover hidden job opportunities.
Tools & Resources
University placement cell resources, Mock interview platforms, LinkedIn, Professional networking events, Company career pages
Career Connection
Effective placement preparation and networking are key to securing desired job roles in top Indian companies upon graduation.
Program Structure and Curriculum
Eligibility:
- Any Graduate with minimum 50% Marks and 45% for ST/SC/OBC Candidate.
Duration: 2 years (4 semesters)
Credits: 96 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA1BA101 | Management Process and Organizational Behaviour | Core | 4 | Management Concepts and Functions, Organizational Behaviour Foundations, Perception, Personality, Learning, Motivation, Leadership, Group Dynamics, Conflict Management, Change Management |
| MBA1BA102 | Managerial Economics | Core | 4 | Basic Economic Principles, Demand and Supply Analysis, Production and Cost Theories, Market Structures and Pricing Strategies, Macroeconomic Environment of Business |
| MBA1BA103 | Business Environment and Ethics | Core | 4 | Components of Business Environment, Economic and Political-Legal Environment, Socio-Cultural and Technological Environment, International Business Environment, Corporate Social Responsibility and Ethics |
| MBA1BA104 | Financial and Management Accounting | Core | 4 | Accounting Concepts and Principles, Preparation of Financial Statements, Cost Accounting Techniques, Budgeting and Variance Analysis, Financial Statement Analysis and Ratios |
| MBA1BA105 | Business Statistics and Research Methods | Core | 4 | Introduction to Statistics and Data Collection, Measures of Central Tendency and Dispersion, Probability and Sampling, Hypothesis Testing and ANOVA, Correlation, Regression and Research Design |
| MBA1BA106 | Computer Application in Management (Practical) | Lab | 2 | MS Word and Document Formatting, MS Excel for Data Analysis and Reporting, MS PowerPoint for Presentations, Basic Internet Applications, Introduction to Data Analysis Tools |
| MBA1BA107 | Communication Skills & Personality Development | Core | 2 | Principles of Effective Communication, Verbal and Non-Verbal Communication, Listening Skills and Presentation Techniques, Group Discussion and Interview Skills, Personality Traits and Time Management |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA1BA201 | Human Resource Management | Core | 4 | HRM Concepts and Functions, HR Planning, Recruitment, and Selection, Training and Development, Performance Management and Compensation, Industrial Relations and Employee Grievances |
| MBA1BA202 | Marketing Management | Core | 4 | Marketing Concepts and Philosophies, Marketing Mix: Product, Price, Place, Promotion, Consumer Behaviour and Market Segmentation, Product Life Cycle and Branding Strategies, Marketing Research and STP |
| MBA1BA203 | Financial Management | Core | 4 | Goals of Financial Management, Time Value of Money, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure |
| MBA1BA204 | Production & Operations Management | Core | 4 | Introduction to Operations Management, Facility Layout and Location, Inventory Management Techniques, Quality Management and Control, Supply Chain Management and Logistics |
| MBA1BA205 | Legal Aspects of Business | Core | 4 | Indian Contract Act 1872, Sale of Goods Act 1930, Negotiable Instruments Act 1881, Companies Act 2013, Consumer Protection Act 2019 and Cyber Laws |
| MBA1BA206 | Data Analytics for Business Decisions (Practical) | Lab | 2 | Introduction to Data Analytics Process, Data Cleaning and Preprocessing, Exploratory Data Analysis, Introduction to Statistical Software (R/Python), Data Visualization Techniques |
| MBA1BA207 | Foreign Language / General Aptitude & Reasoning | Core | 2 | Quantitative Aptitude, Logical Reasoning, Verbal Ability and English Comprehension, Data Interpretation and Sufficiency, Problem Solving Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2BA301 | Business Policy and Strategic Management | Core | 4 | Strategic Management Process, Environmental Scanning and Industry Analysis, Strategy Formulation: Corporate, Business, Functional, Strategy Implementation and Evaluation, Corporate Governance and Ethics |
| MBA2BA302 | Entrepreneurship Development | Core | 4 | Concept and Nature of Entrepreneurship, Idea Generation and Opportunity Assessment, Business Plan Preparation, Sources of Funding and Legal Aspects, Marketing and Growth Strategies for Start-ups |
| MBA2BA303 | Database Management for Analytics | Elective | 4 | Database Concepts and Relational Model, SQL for Data Retrieval and Manipulation, Data Warehousing and Data Marts, ETL Process and Data Integration, Introduction to NoSQL and Big Data |
| MBA2BA304 | Predictive Modeling for Business Analytics | Elective | 4 | Introduction to Predictive Analytics, Linear and Logistic Regression Models, Classification Algorithms: Decision Trees, SVM, Time Series Forecasting, Model Evaluation and Validation Techniques |
| MBA2BA305 | Data Visualization and Storytelling | Elective | 4 | Principles of Effective Data Visualization, Types of Charts and Graphs, Dashboard Design and Best Practices, Storytelling with Data for Business Insights, Tools: Tableau/Power BI Introduction |
| MBA2BA306 | Summer Internship | Project | 2 | Practical Industry Exposure, Application of Management Concepts, Problem Identification and Solution, Project Report Writing, Presentation of Findings |
| MBA2BA307 | Open Elective - I | Elective | 2 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2BA401 | International Business | Core | 4 | Globalization and International Trade Theories, Balance of Payments and Foreign Exchange Markets, International Marketing Strategies, Global Human Resource Management, International Financial Management |
| MBA2BA402 | Operation Research & Supply Chain Management | Core | 4 | Linear Programming and Transportation Problem, Assignment Problem and Network Analysis, Queuing Theory and Inventory Control, Supply Chain Design and Strategy, Logistics and Warehousing Management |
| MBA2BA403 | Artificial Intelligence and Machine Learning in Business | Elective | 4 | Introduction to AI and ML Concepts, Supervised and Unsupervised Learning, Deep Learning Basics and Neural Networks, Natural Language Processing (NLP), Business Applications of AI/ML |
| MBA2BA404 | Big Data Technologies | Elective | 4 | Understanding Big Data Ecosystem, Hadoop Distributed File System (HDFS), MapReduce Framework, Apache Spark for Big Data Processing, NoSQL Databases and Cloud Computing for Big Data |
| MBA2BA405 | Marketing Analytics | Elective | 4 | Customer Analytics and Segmentation, Marketing Mix Modeling, Web and Social Media Analytics, Campaign Optimization and ROI Analysis, Pricing Analytics and Churn Prediction |
| MBA2BA406 | Project / Dissertation & Viva | Project | 4 | Research Methodology and Design, Data Collection and Analysis Techniques, Report Writing and Documentation, Problem Solving and Critical Thinking, Presentation and Viva-Voce |
