.png&w=1920&q=75)
MBA in Business Analytics at Chetan Business School Institute of Management and Research
Dharwad, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Business Analytics at Chetan Business School Institute of Management and Research Dharwad?
This Business Analytics program at Chetan Business School Institute of Management and Research focuses on equipping students with advanced analytical skills to interpret complex business data. In the rapidly evolving Indian market, data-driven decision-making is paramount, and this specialization addresses the critical demand for professionals who can leverage technology and statistical methods to uncover insights and drive strategic growth for businesses. It emphasizes practical application and industry relevance.
Who Should Apply?
This program is ideal for fresh graduates from any discipline who possess strong quantitative aptitude and a desire to enter the burgeoning field of data science and analytics. It also suits working professionals, particularly those in marketing, finance, or operations, looking to upskill and transition into data-centric roles. Furthermore, it attracts career changers aiming to leverage analytics for a competitive edge in various Indian industries.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Data Analyst, Business Intelligence Developer, Marketing Analyst, Financial Analyst, or Supply Chain Analyst in India''''s leading IT, consulting, e-commerce, and financial services companies. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA, demonstrating strong growth trajectories. The curriculum also aligns with certifications in tools like Tableau, Python, and R, enhancing employability.
Student Success Practices
Foundation Stage
Master Quantitative & Statistical Foundations- (Semester 1-2)
Dedicate significant time to thoroughly understand the quantitative methods and business statistics concepts taught. Utilize online platforms like Khan Academy or NPTEL for supplementary learning and practice solving diverse problems to build a strong analytical base.
Tools & Resources
Khan Academy, NPTEL, university library resources, peer study groups
Career Connection
A solid foundation in statistics and quantitative methods is crucial for advanced analytics, forming the bedrock for future data modeling and interpretation roles.
Develop Strong Communication & Presentation Skills- (Semester 1-2)
Actively participate in all communication and business skills workshops. Practice presenting ideas clearly, concisely, and persuasively. Join debating clubs or Toastmasters to refine public speaking, as analysts need to effectively communicate insights to non-technical stakeholders.
Tools & Resources
Toastmasters International, LinkedIn Learning courses on presentation skills, university communication center
Career Connection
The ability to translate complex data into understandable business narratives is highly valued in the Indian job market for analytics consultants and project leads.
Build Foundational Computing Proficiency- (Semester 1-2)
Go beyond basic MS Office skills. Focus on mastering advanced Excel functions, VLOOKUP, Pivot Tables, and introductory SQL queries. Explore free online courses for Python or R basics, as these are fundamental languages in business analytics.
Tools & Resources
Microsoft Excel, Codecademy, DataCamp (free tiers), W3Schools for SQL
Career Connection
Proficiency in these tools forms the essential groundwork for almost any entry-level data analyst or business intelligence role, making you immediately productive.
Intermediate Stage
Engage in Data-Driven Projects and Competitions- (Semester 3)
Proactively seek out and participate in internal university projects, case studies, and external data analytics competitions (e.g., Kaggle, Analytics Vidhya). Apply theoretical knowledge to real-world datasets to build a strong portfolio and gain practical problem-solving experience.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub, university project labs
Career Connection
A strong portfolio of completed projects is often more impactful than grades for securing internships and jobs in analytics firms and tech companies across India.
Network with Industry Professionals & Alumni- (Semester 3)
Attend industry seminars, workshops, and guest lectures frequently organized by the institution. Connect with speakers, alumni, and professionals on platforms like LinkedIn. Informational interviews can provide insights into career paths and potential mentorship.
Tools & Resources
LinkedIn, university alumni network events, industry conferences
Career Connection
Networking is crucial in the Indian job market for referrals, understanding industry trends, and discovering hidden job opportunities in analytics teams.
Master Specialization-Specific Tools & Software- (Semester 3)
Dedicate extra time to gaining advanced proficiency in the analytical tools covered in specialization subjects, such as R, Python (Pandas, NumPy, Scikit-learn), Tableau, or Power BI. Pursue relevant certifications to validate your skills.
Tools & Resources
DataCamp, Coursera, Udemy, official documentation for RStudio, Tableau Public
Career Connection
Expert command over industry-standard tools is a primary requirement for roles in data science and business intelligence, opening doors to advanced positions and higher earning potential.
Advanced Stage
Undertake a Robust Industry Internship/Project- (Semester 4)
Secure a meaningful internship in a company''''s analytics division or choose a comprehensive project that solves a real business problem. Focus on delivering measurable impact and clearly documenting your methodology and results to showcase your capabilities.
Tools & Resources
Company internship portals, university placement cell, faculty mentorship for projects
Career Connection
Internships often lead to pre-placement offers (PPOs) in Indian companies, providing direct entry into the workforce with practical experience.
Refine Placement Preparation with Case Studies- (Semester 4)
Actively prepare for placement interviews by practicing technical questions related to SQL, Python/R, statistics, and machine learning. Work on numerous business analytics case studies and mock interviews to hone your problem-solving and communication under pressure.
Tools & Resources
LeetCode, HackerRank, InterviewBit, company-specific interview prep guides, university placement training
Career Connection
Strong preparation in technical and case study analysis significantly increases your chances of securing competitive placements in top-tier analytics roles in India.
Explore Advanced Analytics & Niche Areas- (Semester 4)
Beyond core curriculum, delve into specialized areas like Deep Learning, NLP, IoT Analytics, or Cloud Analytics (AWS, Azure, GCP). Consider an online certification in a niche area to differentiate yourself in the competitive job market.
Tools & Resources
edX, Udacity, AWS/Azure/GCP free tier accounts, specialized online courses
Career Connection
Developing expertise in niche, high-demand areas can lead to specialized roles and faster career progression in leading technology and analytics firms in India.
Program Structure and Curriculum
Eligibility:
- A candidate who has passed a Bachelor’s Degree of 3 years duration with 50% marks (45% for SC/ST/CAT-1) from any recognized University and who has qualified in MAT/KMAT/CMAT/PGCET.
Duration: 2 years / 4 semesters
Credits: 104 Credits
Assessment: Internal: Varies by subject type (e.g., Theory: 30%, Practical: 50%), External: Varies by subject type (e.g., Theory: 70%, Practical: 50%)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB101 | Management and Organisational Behaviour | Core | 4 | Management Concepts, Organisational Behaviour Nature, Personality and Perception, Motivation Theories, Group Dynamics and Leadership, Organisational Culture and Change |
| MB102 | Business Economics | Core | 4 | Managerial Economics, Demand Analysis and Forecasting, Production and Cost Analysis, Market Structures and Pricing, Macroeconomic Environment, Business Cycles |
| MB103 | Accounting for Business Decisions | Core | 4 | Accounting Fundamentals, Financial Statements Analysis, Cost Concepts and Classification, Budgetary Control, Working Capital Management, Cash Flow Analysis |
| MB104 | Quantitative Methods for Business | Core | 4 | Basic Statistics, Probability Distributions, Hypothesis Testing, Correlation and Regression, Time Series Analysis, Decision Theory |
| MB105 | Marketing Management | Core | 4 | Marketing Concepts, Market Segmentation, Targeting, Positioning, Product Life Cycle, Pricing Strategies, Promotion Mix, Distribution Channels |
| MB106 | Business Environment & Law | Core | 4 | Indian Business Environment, Economic Policies, Legal Aspects of Business, Company Law Fundamentals, Consumer Protection Act, Environmental Regulations |
| MB107 | Communication & Business Skills | Core | 2 | Communication Process, Oral and Written Communication, Business Correspondence, Presentation Skills, Group Discussion Techniques, Interview Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB201 | Human Resource Management | Core | 4 | HRM Concepts, HR Planning and Recruitment, Training and Development, Performance Appraisal, Compensation Management, Industrial Relations |
| MB202 | Financial Management | Core | 4 | Financial Management Objectives, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Capital Structure Theories, Dividend Policy |
| MB203 | Production & Operations Management | Core | 4 | Operations Strategy, Facilities Planning, Production Planning and Control, Inventory Management, Quality Management, Supply Chain Management |
| MB204 | Research Methodology | Core | 4 | Research Process, Research Design, Sampling Techniques, Data Collection Methods, Data Analysis Techniques, Report Writing |
| MB205 | Entrepreneurship & Start-up Management | Core | 4 | Entrepreneurship Concepts, Business Idea Generation, Business Plan Development, Funding for Start-ups, Legal Aspects of Start-ups, Growth Strategies for Ventures |
| MB206 | Business Ethics & Corporate Governance | Core | 4 | Business Ethics Principles, Corporate Social Responsibility, Corporate Governance Models, Stakeholder Management, Ethical Decision Making, Sustainability in Business |
| MB207 | Managerial Computing (Skill Based) | Core | 2 | Computer Fundamentals, MS Office Applications, Data Analysis Tools, Internet and E-commerce, Database Management Basics, Business Software Applications |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB301 | Strategic Management | Core | 4 | Strategic Management Process, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Corporate Level Strategies |
| MB302 | International Business | Core | 4 | International Business Environment, Theories of International Trade, Foreign Exchange Management, Global Marketing Strategies, Foreign Direct Investment, International Financial Markets |
| MBA303 | Foundations of Business Analytics | Elective | 4 | Introduction to Business Analytics, Data Types and Sources, Data Warehousing Concepts, Data Mining Overview, Descriptive Analytics, Predictive and Prescriptive Analytics |
| MBA304 | Data Mining for Business Decisions | Elective | 4 | Data Mining Concepts, Classification Techniques, Clustering Algorithms, Association Rule Mining, Text Mining and Web Mining, Data Mining Software Tools |
| MBA305 | Predictive Analytics | Elective | 4 | Regression Models, Time Series Forecasting, Machine Learning Basics, Supervised Learning, Unsupervised Learning, Model Evaluation and Validation |
| MBAL301 | Business Analytics Lab I (R Programming) | Lab | 2 | Introduction to R, R Data Structures, Data Manipulation in R, Statistical Analysis with R, Data Visualization in R, R Packages for Analytics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB401 | Project Management & Entrepreneurial Finance | Core | 4 | Project Life Cycle, Project Planning and Scheduling, Project Risk Management, Project Financing, Entrepreneurial Funding Sources, Venture Capital and Angel Investors |
| MB402 | Innovation & Technology Management | Core | 4 | Innovation Process, Types of Innovation, Technology Transfer, Intellectual Property Rights, R&D Management, Technology Adoption and Diffusion |
| MBA403 | Big Data Analytics | Elective | 4 | Big Data Concepts, Hadoop Ecosystem, Spark Framework, NoSQL Databases, Data Streaming, Big Data Applications |
| MBA404 | Business Intelligence and Data Visualization | Elective | 4 | Business Intelligence Architecture, ETL Process, Data Modeling for BI, Dashboard Design, Reporting Tools, Data Storytelling |
| MBA405 | Marketing Analytics & Supply Chain Management | Elective | 4 | Marketing Metrics, Customer Segmentation, Customer Lifetime Value, Supply Chain Optimization, Inventory Analytics, Logistics Analytics |
| MBAL401 | Business Analytics Lab II (Python/Tableau) | Lab | 2 | Python Programming for Data Science, Data Analysis with Pandas, Data Visualization with Matplotlib/Seaborn, Tableau for Interactive Dashboards, SQL for Data Retrieval, Advanced Analytics Tools |
| MBP401 | Project Work / Internship | Project | 8 | Project Identification, Literature Review, Methodology Design, Data Collection and Analysis, Report Writing, Project Presentation and Viva |
