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MBA in Business Analytics at GITAM (Gandhi Institute of Technology and Management)
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Business Analytics at GITAM (Gandhi Institute of Technology and Management) Visakhapatnam?
This Business Analytics program at GITAM, Visakhapatnam, focuses on equipping future managers with data-driven decision-making skills. It integrates core management principles with advanced analytical techniques to address contemporary business challenges, highly relevant in India''''s rapidly digitalizing economy. The program emphasizes practical application and leverages cutting-edge tools, setting it apart as a key differentiator in the competitive Indian job market where data proficiency is increasingly sought after across all sectors.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds seeking entry into high-growth analytics roles within Indian corporates and startups. It also caters to working professionals aiming to upskill their analytical capabilities for career advancement or those looking to transition into the burgeoning field of data science and business intelligence in India. Candidates with a strong quantitative aptitude and a keen interest in problem-solving through data are particularly well-suited for this specialization.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Supply Chain Analyst in leading Indian and multinational companies. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with professional certifications like Tableau, Power BI, and various machine learning platforms, fostering strong growth trajectories in India''''s data-intensive industries.
Student Success Practices
Foundation Stage
Master Core Analytical Tools & Statistics- (Semester 1-2)
Dedicate time to thoroughly understand statistical concepts (hypothesis testing, regression) and excel functionalities beyond basic usage. Utilize online courses and practice datasets to build a strong foundation in Business Analytics using Spreadsheets. This ensures a solid base for advanced analytical techniques taught later.
Tools & Resources
Microsoft Excel, Khan Academy Statistics, Coursera/edX introductory data analysis courses
Career Connection
Strong statistical and Excel skills are foundational for almost all entry-level business analyst roles in India and form the bedrock for learning more complex software and methodologies.
Engage in Interdisciplinary Case Studies- (Semester 1-2)
Actively participate in group case study discussions covering various business functions. Focus on identifying how data and quantitative techniques can solve problems in marketing, finance, and operations. Seek feedback from professors and peers to refine analytical thinking and communication skills.
Tools & Resources
Harvard Business Review cases, IIMB Case Repository, Peer study groups
Career Connection
This develops critical thinking and problem-solving abilities, essential for understanding diverse business challenges and articulating data-driven solutions in consulting or corporate strategy roles.
Build a Strong Professional Network- (Semester 1-2)
Attend industry webinars, guest lectures, and alumni meet-ups organized by the institution. Connect with professionals on LinkedIn, especially those in analytics roles in India. Start building relationships that can provide mentorship, internship leads, and insights into industry trends.
Tools & Resources
LinkedIn, GITAM Alumni Network events, Industry association webinars
Career Connection
Networking is crucial for uncovering hidden job opportunities, getting referrals, and gaining a competitive edge in the Indian job market, leading to better internship and placement prospects.
Intermediate Stage
Specialize and Acquire Technical Proficiencies- (Semester 3)
Based on interests, choose electives wisely (e.g., Marketing Analytics, Financial Analytics). Deep dive into specific tools like Tableau/Power BI for visualization, and Python/R for data mining and machine learning. Complete online certifications to validate these skills.
Tools & Resources
Tableau Public, Power BI Desktop, Python (Anaconda Distribution), RStudio, Kaggle for practice datasets
Career Connection
Possessing specialized technical skills in demand areas like machine learning or data visualization directly impacts eligibility for specialized roles such as Data Scientist or Data Visualization Expert in India.
Undertake Industry-Relevant Mini-Projects- (Semester 3)
Proactively seek out mini-projects or internships where you can apply learned analytical techniques to real-world business problems. Collaborate with faculty or local startups to work on live datasets. Document your methodologies and results rigorously to build a portfolio.
Tools & Resources
Local startups/SMEs, GITAM faculty research projects, Online project platforms (e.g., Upwork for small gigs)
Career Connection
Practical experience significantly boosts your resume, demonstrating your ability to translate theoretical knowledge into tangible business value, making you a preferred candidate for Indian companies.
Participate in Data Science Competitions- (Semester 3)
Regularly participate in data science and analytics competitions on platforms like Kaggle or Analytics Vidhya. This hones problem-solving, coding, and teamwork skills under pressure. Top performers often gain visibility from recruiters and earn valuable experience.
Tools & Resources
Kaggle.com, AnalyticsVidhya.com, HackerRank (for coding practice)
Career Connection
Success in these competitions is a strong signal of analytical prowess to recruiters and can directly lead to interviews and job offers from top tech and analytics firms in India.
Advanced Stage
Execute a High-Impact Major Project- (Semester 4)
Choose a challenging Major Project that addresses a complex business problem using advanced analytics. Aim for quantifiable outcomes and demonstrate a deep understanding of data lifecycle, model building, and deployment. Seek mentorship from industry experts.
Tools & Resources
Advanced ML frameworks (TensorFlow, PyTorch), Cloud platforms (AWS, Azure, GCP), Industry mentors
Career Connection
A strong major project acts as a capstone, showcasing your full skill set to potential employers, especially for senior analyst or data science roles requiring end-to-end project execution capability.
Leverage Internship for Placement Conversion- (Semester 4)
Treat your Internship Project as an extended job interview. Exceed expectations, network internally, and actively seek opportunities to solve critical business problems. Demonstrate initiative and deliver clear, data-driven insights that add value to the organization.
Tools & Resources
Company-specific data/tools, Internal mentorship, Feedback from supervisors
Career Connection
Exceptional performance during the internship significantly increases the chances of receiving a Pre-Placement Offer (PPO), which is a common and highly desirable route to full-time employment in India.
Refine Interview Skills and Portfolio Presentation- (Semester 4)
Practice technical interviews covering statistics, machine learning, SQL, and Python. Develop compelling presentations of your projects, focusing on problem, methodology, key findings, and business impact. Prepare for behavioral questions and salary negotiations specific to the Indian market.
Tools & Resources
LeetCode, HackerRank SQL, Mock interviews with career services/alumni, Personal website/GitHub for portfolio
Career Connection
Mastering interview techniques and presenting a strong, well-articulated portfolio are crucial for converting opportunities into successful placements in competitive Indian analytics roles.
Program Structure and Curriculum
Eligibility:
- Graduation (Bachelors Degree) with a minimum of 50% aggregate marks or equivalent in any discipline from a recognized University.
Duration: 2 years (4 semesters)
Credits: 86 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 101MBB101 | Management Process & Organizational Behaviour | Core | 3 | Management Concepts and Functions, Organizational Structure and Design, Individual and Group Behavior, Motivation and Leadership Theories, Organizational Culture and Change Management, Stress Management |
| 101MBB102 | Business Communication | Core | 3 | The Communication Process, Oral Communication Skills, Written Communication (Reports, Memos), Presentation and Public Speaking, Negotiation and Conflict Resolution, Intercultural Communication |
| 101MBB103 | Business Economics | Core | 3 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Decisions, Macroeconomic Environment, National Income and Business Cycles |
| 101MBB104 | Quantitative Techniques for Management | Core | 3 | Linear Programming, Transportation and Assignment Problems, Decision Theory and Game Theory, Queuing Theory and Simulation, Network Analysis (PERT/CPM), Statistical Inference and Regression |
| 101MBB105 | Financial Accounting & Analysis | Core | 3 | Accounting Principles and Concepts, Preparation of Financial Statements, Analysis and Interpretation of Financial Statements, Fund Flow and Cash Flow Statements, Budgetary Control and Variance Analysis, International Financial Reporting Standards |
| 101MBB106 | Marketing Management | Core | 3 | Core Marketing Concepts, Consumer Behavior and Market Segmentation, Product and Brand Management, Pricing Strategies, Promotion and Integrated Marketing Communication, Channel Management and Digital Marketing |
| 101MBB107 | Legal and Ethical Aspects of Business | Core | 3 | Indian Contract Act, Company Law and SEBI Regulations, Consumer Protection Act, Ethics in Business and Corporate Social Responsibility, Corporate Governance, Intellectual Property Rights |
| 101MBB108 | Business Analytics using Spreadsheets | Core | 3 | Introduction to Business Analytics, Data Manipulation in Excel, Statistical Functions for Analysis, Data Visualization with Charts, Optimization and Decision Tools, Forecasting and Predictive Modeling |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 101MBB201 | Human Resource Management | Core | 3 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits, Industrial Relations and Labor Laws |
| 101MBB202 | Financial Management | Core | 3 | Time Value of Money, Capital Budgeting Decisions, Cost of Capital and Capital Structure, Working Capital Management, Dividend Policy, Sources of Finance and Financial Markets |
| 101MBB203 | Production & Operations Management | Core | 3 | Operations Strategy and Competitiveness, Process Design and Layout, Capacity Planning and Location Decisions, Inventory Management, Quality Management and Lean Operations, Supply Chain Management |
| 101MBB204 | Research Methodology & Business Intelligence | Core | 3 | Research Design and Problem Formulation, Data Collection Methods and Sampling, Hypothesis Testing and Data Analysis, Report Writing and Presentation, Introduction to Business Intelligence, Data Warehousing and Data Mining Concepts |
| 101MBB205 | Information Technology for Business | Core | 3 | IT Infrastructure and Systems, Database Management Systems, Enterprise Resource Planning (ERP), E-commerce and Digital Business, Cloud Computing and Mobile Technologies, Information Security and Cyber Threats |
| 101MBB206 | International Business | Core | 3 | Globalization and International Trade Theories, Foreign Direct Investment, Foreign Exchange Markets and Currency Risk, International Financial Management, Global Marketing Strategies, Cross-cultural Management |
| 101MBB207 | Project Management | Core | 3 | Project Lifecycle and Management Process, Project Planning and Scheduling (PERT/CPM), Project Costing and Budgeting, Project Risk Management, Resource Allocation and Monitoring, Project Closure and Evaluation |
| 101MBB208 | Entrepreneurship | Core | 3 | Nature of Entrepreneurship and Innovation, Idea Generation and Opportunity Recognition, Business Plan Development, Sources of Funding and Venture Capital, Start-up Ecosystem in India, Legal and Regulatory Framework for Start-ups |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 101MBB301 | Strategic Management | Core | 3 | Strategic Analysis and Environmental Scanning, Strategy Formulation and Choice, Strategy Implementation and Control, Corporate Level Strategies, Business Level Strategies, Corporate Governance and Ethics |
| 101MBB302 | Business Simulation | Core | 3 | Introduction to Business Simulation, Decision Making in Dynamic Environments, Strategic Planning through Simulation, Market Dynamics and Competitive Strategy, Financial Performance Analysis in Simulation, Teamwork and Communication Skills |
| 101MBB303 | Value Added Course | Core | 2 | |
| 101MBAA301 | Data Mining & Machine Learning | Elective | 3 | Introduction to Data Mining, Data Preprocessing and Exploration, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Association Rule Mining, Model Evaluation and Deployment |
| 101MBAA302 | Big Data Analytics | Elective | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Apache Spark and its Components, Stream Processing and Real-time Analytics, Data Lakes and Data Governance |
| 101MBAA303 | Data Visualization & Storytelling | Elective | 3 | Principles of Data Visualization, Tools: Tableau/Power BI Introduction, Designing Effective Charts and Graphs, Creating Interactive Dashboards, Storytelling with Data, Infographics and Visual Communication |
| 101MBAA304 | Social Media Analytics | Elective | 3 | Introduction to Social Media Analytics, Social Network Analysis, Sentiment Analysis for Social Data, Web Analytics and Digital Marketing Metrics, Influencer Identification and Engagement, Social Listening and Trend Spotting |
| 101MBAA305 | Marketing Analytics | Elective | 3 | Customer Segmentation and Targeting, Market Mix Modeling, Customer Lifetime Value (CLV), Churn Prediction and Retention Strategies, A/B Testing and Campaign Optimization, Attribution Modeling |
| 101MBAA306 | Financial Analytics | Elective | 3 | Risk Analytics and Management, Portfolio Optimization, Algorithmic Trading Strategies, Fraud Detection Techniques, Credit Scoring Models, Financial Forecasting |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 101MBAA401 | Predictive Analytics | Elective | 3 | Time Series Forecasting Models, Advanced Regression Techniques, Ensemble Methods (Boosting, Bagging), Neural Networks and Deep Learning Basics, Model Validation and Performance Metrics, Deployment of Predictive Models |
| 101MBAA402 | Prescriptive Analytics | Elective | 3 | Optimization Techniques, Simulation for Decision Making, Decision Trees and Rule-based Systems, Recommender Systems, Reinforcement Learning Fundamentals, A/B Testing for Optimization |
| 101MBAA403 | Text Mining & Natural Language Processing | Elective | 3 | Text Preprocessing and Tokenization, N-grams and Feature Extraction, Named Entity Recognition, Topic Modeling (LDA), Advanced Sentiment Analysis, NLP Applications in Business |
| 101MBAA404 | Supply Chain Analytics | Elective | 3 | Demand Forecasting in Supply Chain, Inventory Optimization Models, Logistics and Route Optimization, Supply Chain Network Design, Risk Analytics in Supply Chain, Supplier Performance Analytics |
| 101MBB405 | Major Project & Viva Voce | Project | 6 | Problem Identification and Scope Definition, Literature Review and Research Design, Data Collection and Analysis, Solution Development and Implementation, Report Writing and Documentation, Presentation and Viva Voce Examination |
| 101MBB406 | Internship Project & Viva Voce | Project | 6 | Industry Problem Identification, Application of Analytical Tools, Data-driven Problem Solving, Company-specific Report Generation, Presentation to Industry Mentors, Viva Voce Examination |
