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MBA in Business Analytics at Guru Nanak Dev Engineering College, Bidar
Bidar, Karnataka
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About the Specialization
What is Business Analytics at Guru Nanak Dev Engineering College, Bidar Bidar?
This Business Analytics program at Guru Nanak Dev Engineering College focuses on equipping students with crucial skills to leverage data for strategic decision-making in diverse Indian industries. It integrates statistical methods, data mining, and machine learning techniques, addressing the growing demand for data-driven insights in sectors like e-commerce, finance, and manufacturing across India. The program emphasizes practical application and industry relevance.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for numbers and problem-solving, seeking entry into high-growth analytics roles. It also suits working professionals looking to upskill in data science or career changers aiming to transition into the burgeoning field of business intelligence and data analytics within the Indian corporate landscape.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Business Analyst, Data Analyst, Market Research Analyst, or Analytics Consultant in India, with entry-level salaries typically ranging from INR 4-7 LPA, growing significantly with experience. The program provides a strong foundation for various analytics certifications and advanced roles in top Indian and multinational companies operating in the country.
Student Success Practices
Foundation Stage
Strengthen Quantitative and Communication Basics- (Semester 1-2)
Focus intensely on Quantitative Methods and Business Communication subjects. Utilize online platforms for additional learning in statistics and practice public speaking in class discussions and college events to build confidence.
Tools & Resources
Coursera (Business Statistics courses), Khan Academy (Probability), Toastmasters International (local chapters)
Career Connection
Strong analytical and communication skills are foundational for any business analytics role, enabling effective data interpretation and clear presentation of insights.
Master Excel and Begin Programming- (Semester 1-2)
Beyond coursework, dedicate time to mastering advanced Excel functions like pivot tables, VLOOKUP, and basic macros. Simultaneously, start learning a foundational programming language such as Python (for data manipulation) or R.
Tools & Resources
Microsoft Excel tutorials, DataCamp, Codecademy (Python/R courses), Kaggle (beginner datasets)
Career Connection
Excel is ubiquitous in business operations, and basic programming skills are essential for handling larger datasets and automation in modern analytics roles.
Active Participation in Business Clubs and Case Competitions- (Semester 1-2)
Join college business or analytics clubs, participate in internal case study competitions, and form peer learning groups. This helps in applying theoretical knowledge, developing teamwork, and gaining practical exposure to real-world business problems.
Tools & Resources
College Business/Analytics Club, Inter-departmental case competitions, Online business case libraries
Career Connection
Enhances problem-solving, critical thinking, and presentation skills, which are crucial for success in consulting and analytical roles within the Indian job market.
Intermediate Stage
Deep Dive into Core Analytics Tools and Concepts- (Semester 3)
Focus on mastering concepts from Data Mining, Business Intelligence, and chosen Business Analytics electives. Get hands-on experience with SQL for database management, and data visualization tools like Tableau or Power BI.
Tools & Resources
SQLZoo, Tableau Public, Power BI Desktop, Python libraries (Pandas, NumPy, Scikit-learn), RStudio
Career Connection
Direct skill alignment with industry requirements for Data Analyst, Business Intelligence Developer, and Junior Data Scientist roles.
Undertake Industry-Relevant Internships- (Summer after Semester 2 / During Semester 3 break)
Actively seek and complete an internship in the analytics department of a company (startups, mid-sized firms, or MNCs in India). Apply classroom knowledge to real-world datasets and business challenges during this crucial period.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry contacts and alumni network
Career Connection
Provides invaluable practical experience, strengthens your resume, and often leads to pre-placement offers, accelerating your career in analytics.
Build a Professional Online Portfolio- (Semester 3)
Document your personal projects, internship experiences, and case study solutions on platforms like GitHub or a personal website. Showcase your data cleaning, analysis, visualization, and modeling skills with clear explanations.
Tools & Resources
GitHub, Kaggle Notebooks, Personal blog/website platforms (e.g., WordPress, Medium), LinkedIn profiles
Career Connection
A strong portfolio is crucial for demonstrating practical skills and project experience to potential employers during interviews in the competitive Indian job market.
Advanced Stage
Specialized Project Work and Advanced Certifications- (Semester 4)
Focus your final project work on a complex, industry-specific business analytics problem, ideally in collaboration with a company. Pursue advanced certifications in areas like cloud analytics (AWS, Azure) or specialized tools (e.g., Google Analytics, SAS).
Tools & Resources
Project mentors, Industry partners, Online certification providers (Coursera, edX, NPTEL for specialized analytics)
Career Connection
Demonstrates deep expertise in a niche area and adds significant value to job applications, particularly for advanced entry-level or specialized roles in analytics.
Intensive Placement Preparation and Networking- (Semester 4)
Actively participate in campus placement drives, mock interviews, and group discussions. Network with alumni and industry professionals through LinkedIn and college events. Tailor resumes and cover letters to specific analytics job descriptions.
Tools & Resources
College placement cell, LinkedIn, Alumni network, Online interview preparation platforms (e.g., Glassdoor, InterviewBit)
Career Connection
This is crucial for securing desirable placements in leading analytics firms and corporate analytics departments across India, maximizing your job prospects.
Continuous Learning and Industry Trend Tracking- (Semester 4 and beyond)
Stay updated with the latest trends in Artificial Intelligence, Machine Learning, and emerging analytics technologies by reading industry blogs, journals, and attending webinars. Participate in hackathons or data challenges to continually refine your skills.
Tools & Resources
Medium (Towards Data Science), Analytics India Magazine, Kaggle competitions, Industry conferences (virtual/local)
Career Connection
Ensures long-term career growth and adaptability in the rapidly evolving analytics landscape, making graduates future-ready for dynamic roles in Indian tech and business sectors.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree (10+2+3 pattern) with 50% aggregate marks (45% for SC/ST/CAT-1 candidates of Karnataka), and a valid score in KMAT/PGCET/CMAT/MAT.
Duration: 4 semesters / 2 years
Credits: 100 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MBA11 | Management and Organizational Behavior | Core | 4 | Management Process, Planning and Organizing, Leadership and Motivation, Organizational Behavior, Perception and Personality, Group Dynamics and Conflict Management |
| 20MBA12 | Business Environment | Core | 4 | Economic Environment, Socio-Cultural Environment, Political-Legal Environment, Technological Environment, Global Environment, Economic Reforms and Policies |
| 20MBA13 | Managerial Economics | Core | 4 | Demand Analysis, Production Analysis, Cost Analysis, Market Structures, Pricing Strategies, Capital Budgeting |
| 20MBA14 | Accounting for Managers | Core | 4 | Financial Accounting Concepts, Journal and Ledger, Financial Statements, Ratio Analysis, Fund Flow Statement, Cash Flow Statement |
| 20MBA15 | Quantitative Methods | Core | 4 | Basic Statistics, Probability Distributions, Sampling Theory, Hypothesis Testing, Correlation and Regression, Decision Theory |
| 20MBA16 | Business Communication | Core | 4 | Principles of Communication, Oral Communication, Written Communication, Non-verbal Communication, Business Reports, Presentations and Interviews |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MBA21 | Marketing Management | Core | 4 | Marketing Concepts, Marketing Mix, Product Life Cycle, Pricing Decisions, Promotion Strategies, Distribution Channels |
| 20MBA22 | Financial Management | Core | 4 | Time Value of Money, Capital Budgeting, Cost of Capital, Working Capital Management, Dividend Policy, Financial Markets |
| 20MBA23 | Human Resource Management | Core | 4 | HR Planning, Recruitment and Selection, Training and Development, Performance Appraisal, Compensation Management, Industrial Relations |
| 20MBA24 | Operations Management | Core | 4 | Production Systems, Facility Layout, Inventory Management, Quality Management, Project Management, Supply Chain Management |
| 20MBA25 | Research Methodology | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Hypothesis Testing, Report Writing |
| 20MBA26 | Entrepreneurship and Ethics | Core | 4 | Entrepreneurial Process, Business Plan, Sources of Finance, Small Business Management, Business Ethics, Corporate Social Responsibility |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MBA31 | Strategic Management | Core | 4 | Strategic Management Process, Environmental Scanning, Strategy Formulation, Strategy Implementation, Strategic Control, Corporate Level Strategies |
| 20MBA32 | International Business | Core | 4 | Globalization, International Trade Theories, Foreign Direct Investment, International Financial Markets, Regional Economic Integration, International Marketing |
| 20MBA33 | Internship Report | Core | 2 | Industry Experience, Organizational Study, Problem Identification, Data Analysis, Report Writing, Presentation Skills |
| 20MBABA301 | Data Mining for Business Decisions | Elective (Business Analytics) | 3 | Data Mining Concepts, Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms, Predictive Modeling |
| 20MBABA302 | Foundations of Business Analytics | Elective (Business Analytics) | 3 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization, Excel for Analytics |
| 20MBABA303 | Business Intelligence and Data Warehousing | Elective (Business Analytics) | 3 | Business Intelligence Concepts, Data Warehousing Architecture, ETL Process, Online Analytical Processing (OLAP), Data Marts, BI Tools and Applications |
| 20MBABA304 | Prescriptive Analytics | Elective (Business Analytics) | 3 | Optimization Techniques, Decision Analysis, Simulation Modeling, Linear Programming, Integer Programming, Queuing Theory |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MBA41 | Management Information Systems | Core | 4 | Information Systems Concepts, IT Infrastructure, E-commerce, Decision Support Systems, Enterprise Systems, IT Security and Control |
| 20MBABA401 | Big Data Analytics | Elective (Business Analytics) | 3 | Big Data Concepts, Hadoop Ecosystem, MapReduce Framework, HDFS, NoSQL Databases, Streaming Data Analytics |
| 20MBABA402 | Social Media and Web Analytics | Elective (Business Analytics) | 3 | Web Analytics Tools, Social Media Metrics, SEO and SEM, Content Analytics, Sentiment Analysis, Campaign Performance Measurement |
| 20MBABA403 | Financial Analytics | Elective (Business Analytics) | 3 | Financial Modeling, Portfolio Optimization, Risk Analytics, Credit Scoring Models, Time Series Analysis in Finance, Fraud Detection |
| 20MBABA404 | Marketing Analytics | Elective (Business Analytics) | 3 | Customer Segmentation, Churn Prediction, Campaign Optimization, Pricing Analytics, Marketing Mix Modeling, Customer Lifetime Value |
| 20MBABA405 | HR Analytics | Elective (Business Analytics) | 3 | Workforce Planning, Talent Acquisition Analytics, Performance Analytics, Retention Analytics, Compensation Analytics, Employee Engagement Metrics |
| 20MBA42 | Project Work | Core | 10 | Problem Definition, Literature Review, Methodology Design, Data Collection and Analysis, Report Writing, Project Presentation |
