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MBA in Business Analytics at Alva's Institute of Engineering and Technology
Dakshina Kannada, Karnataka
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About the Specialization
What is Business Analytics at Alva's Institute of Engineering and Technology Dakshina Kannada?
This Business Analytics program at Alva''''s Institute of Engineering and Technology focuses on equipping students with advanced analytical skills to extract insights from data, driving strategic business decisions. Leveraging statistical modeling, machine learning, and data visualization, the program addresses the escalating demand for data-savvy professionals in India''''s rapidly growing digital, e-commerce, and financial sectors. Its curriculum emphasizes practical application and industry relevance.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds like Engineering, Commerce, or Science who possess strong analytical aptitude and aspire for a career in data-driven roles. It also suits working professionals from IT, marketing, or finance seeking to upskill in analytics for career advancement. Additionally, entrepreneurs looking to leverage data for business growth and competitive advantage will find this specialization highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths such as Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, or Consultant. Entry-level salaries typically range from 4-8 LPA, with experienced professionals earning 10-25 LPA or more, reflecting high industry demand. The program aligns with emerging roles in AI/ML and positions graduates for significant growth trajectories within Indian and multinational corporations.
Student Success Practices
Foundation Stage
Build Strong Analytical Foundations- (Semester 1-2)
Focus intensely on mastering core concepts in statistics, probability, and foundational programming languages like Python or R, which are critical for business analytics. Utilize free online courses from platforms like NPTEL or Coursera''''s ''''Data Science Specialization'''' to supplement classroom learning and solidify understanding.
Tools & Resources
NPTEL, Coursera (Data Science Specialization), Python/R basics
Career Connection
A robust foundation in statistics and programming is the bedrock for all advanced analytical roles, directly impacting your ability to handle complex datasets and develop effective models in your future career.
Engage in Early Problem-Solving- (Semester 1-2)
Actively participate in business case competitions and join analytical clubs within the institution. Practice breaking down complex real-world business problems and identifying data-driven solutions, even with limited initial knowledge. This hones critical thinking and problem-solving skills, vital for aspiring business analysts.
Tools & Resources
Case Study repositories, Institutional Analytical Clubs
Career Connection
Developing problem-solving acumen early will make you a more attractive candidate for roles requiring strategic thinking and practical application of analytical skills in the Indian market.
Develop Software Proficiency Basics- (Semester 1-2)
Start learning fundamental analytical tools such as advanced Microsoft Excel functions, SQL for database querying, and an introduction to data visualization tools like Tableau or Power BI. Focus on practical application through small projects and exercises to accelerate skill acquisition and prepare for industry demands.
Tools & Resources
Microsoft Excel, SQL tutorials (e.g., Codecademy), Tableau Public/Power BI Desktop
Career Connection
Proficiency in these foundational tools is often a prerequisite for entry-level analyst roles, enabling you to immediately contribute to data extraction and preliminary analysis tasks.
Intermediate Stage
Deep Dive into Predictive Modeling and Machine Learning- (Semester 3-4)
Concentrate on advanced statistical modeling techniques, machine learning algorithms, and deep learning concepts relevant to business. Apply these learnings through hands-on capstone projects, hackathons, and personal projects. Utilize platforms like Kaggle to work with real-world datasets and build a project portfolio.
Tools & Resources
Kaggle, Scikit-learn (Python), TensorFlow/Keras, Advanced R packages
Career Connection
Mastering predictive analytics and machine learning directly prepares you for roles like Data Scientist and Advanced Business Analyst, which are highly valued in India''''s tech and finance sectors.
Secure and Maximize Industry Internships- (Semester 3-4)
Actively seek and secure internships in data analytics roles within IT, finance, e-commerce, or consulting firms. Apply learned concepts to real business challenges, build an industry network through mentorship, and gain invaluable practical experience that is highly regarded by Indian recruiters. Focus on tangible project outcomes.
Tools & Resources
LinkedIn, Internshala, College Placement Cell
Career Connection
Internships are crucial for gaining real-world exposure, building a professional network, and often lead to pre-placement offers, significantly boosting your employability in the competitive Indian job market.
Cultivate Data Storytelling and Presentation Skills- (Semester 3-4)
Develop the ability to translate complex analytical findings into clear, concise, and actionable business insights for non-technical stakeholders. Practice presentations rigorously, create compelling dashboards, and refine your communication skills through mock interviews, workshops, and student speaking forums.
Tools & Resources
Tableau/Power BI for dashboards, Presentation software (PowerPoint, Google Slides), Toastmasters International
Career Connection
Strong data storytelling is essential for roles requiring client interaction and strategic influence, enabling you to effectively communicate value and drive decisions in Indian enterprises.
Advanced Stage
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree of minimum 3 years duration or equivalent, obtained from a recognized University/Institution with 50% aggregate marks (45% for SC/ST/Category-I candidates of Karnataka origin). Must clear PGCET/CMAT/K-MAT/MAT/XAT/ATMA.
Duration: 4 semesters / 2 years
Credits: 82 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA221 | Management & Organisational Behaviour | Core | 4 | Introduction to Management, Planning and Organizing, Directing and Controlling, Individual Behaviour in Organization, Group Dynamics and Leadership |
| MBA222 | Accounting for Business Decisions | Core | 4 | Financial Accounting Principles, Cost Accounting Concepts, Management Accounting Techniques, Analysis of Financial Statements, Budgeting and Variance Analysis |
| MBA223 | Business Statistics & Analytics | Core | 4 | Descriptive Statistics, Probability and Distributions, Hypothesis Testing, Correlation and Regression Analysis, Introduction to Business Analytics |
| MBA224 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Strategies, Macroeconomic Environment, Business Cycles and Policies |
| MBA225 | Legal Aspects of Business | Core | 4 | Indian Contract Act 1872, Sale of Goods Act 1930, Consumer Protection Act 2019, Company Law Fundamentals, Intellectual Property Rights |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA226 | Marketing Management | Core | 4 | Marketing Environment and Strategy, Consumer and Business Markets, Segmentation, Targeting, Positioning, Product and Brand Management, Pricing, Promotion, and Distribution |
| MBA227 | Financial Management | Core | 4 | Introduction to Financial Management, Capital Budgeting Decisions, Working Capital Management, Capital Structure Theories, Dividend Policy Decisions |
| MBA228 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| MBA229 | Operations & Supply Chain Management | Core | 4 | Operations Strategy and Productivity, Process Design and Layout, Inventory Management, Quality Management and Control, Supply Chain Design and Management |
| MBA2210 | Research Methods & Business Communication | Core | 4 | Research Design and Process, Data Collection and Sampling, Statistical Tools for Analysis, Report Writing and Presentation, Business Correspondence and Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2211 | Strategic Management | Core | 4 | Concept of Strategy, Strategic Analysis and Formulation, Strategic Choice and Implementation, Corporate Governance and Ethics, Strategic Control and Evaluation |
| MBA22EBB1 | Foundations of Business Analytics | Elective - Business Analytics | 3 | Introduction to Business Analytics, Data Collection and Preprocessing, Descriptive Analytics Techniques, Diagnostic Analytics, Introduction to Prescriptive Analytics |
| MBA22EBB2 | Data Warehousing & Data Mining | Elective - Business Analytics | 3 | Data Warehousing Concepts, ETL Process and Data Marts, Introduction to Data Mining, Classification Techniques, Clustering and Association Rules |
| MBA22EBB3 | Predictive Analytics | Elective - Business Analytics | 3 | Regression Models, Time Series Analysis and Forecasting, Introduction to Machine Learning, Decision Trees and Ensemble Methods, Model Evaluation and Validation |
| MBA22EBB5 | Data Visualization for Business | Elective - Business Analytics | 3 | Principles of Data Visualization, Data Storytelling, Dashboard Design and Best Practices, Tools: Tableau and Power BI, Geographic Visualizations and Infographics |
| MBA22SDC | Skill Development Course | Skill Development | 2 | Professional Communication Skills, Leadership and Team Building, Entrepreneurial Mindset, Digital Literacy and Tools, Personal Effectiveness |
| MBA22CIP/RR | Internship / Research Paper | Project/Internship | 2 | Industry Exposure, Practical Application of Concepts, Data Collection and Analysis, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2212 | Entrepreneurship & Innovation Management | Core | 4 | Entrepreneurial Process, Business Idea Generation, Business Plan Development, Startup Ecosystem and Funding, Innovation Management Strategies |
| MBA22EBB6 | Optimization & Simulation for Business Decisions | Elective - Business Analytics | 3 | Linear Programming, Network Models, Simulation Modeling, Decision Analysis, Queueing Theory |
| MBA22EBB7 | Marketing Analytics | Elective - Business Analytics | 3 | Customer Analytics, Web and Digital Analytics, Campaign Effectiveness Measurement, Market Research Analytics, Marketing Mix Modeling |
| MBA22EBB8 | Financial Analytics | Elective - Business Analytics | 3 | Financial Modeling Techniques, Risk Analytics, Investment and Portfolio Analytics, Fraud Detection Analytics, Financial Forecasting |
| MBA22EBB9 | HR Analytics | Elective - Business Analytics | 3 | Workforce Planning Analytics, Recruitment and Retention Analytics, Performance and Compensation Analytics, Employee Engagement Metrics, HR Dashboards and Reporting |
| MBA22PW | Project Work | Project | 6 | Problem Identification, Literature Review, Methodology Design, Data Analysis and Interpretation, Report Writing and Presentation |
