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MBA in Business Analytics at S.S. Agrawal Institute of Management & Technology
Navsari, Gujarat
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About the Specialization
What is Business Analytics at S.S. Agrawal Institute of Management & Technology Navsari?
This Business Analytics program at S.S. Agrawal Institute of Management & Technology focuses on equipping students with advanced analytical skills to interpret complex data and drive strategic business decisions. In the rapidly digitizing Indian economy, industries across finance, retail, and healthcare are seeing immense demand for data-savvy professionals, making this specialization highly relevant for aspiring managers.
Who Should Apply?
This program is ideal for fresh graduates with a quantitative aptitude seeking entry into data-driven roles, and working professionals looking to upskill in analytics for career advancement. Individuals from engineering, commerce, or science backgrounds who are keen to leverage data for business advantage, regardless of prior analytics experience, will find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Analyst, Consultant, or Analytics Manager. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program aligns with industry certifications in tools like Python, R, and Tableau, enhancing growth trajectories in Indian and global companies.
Student Success Practices
Foundation Stage
Master Quantitative and Analytical Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand core subjects like Quantitative Analysis and Economics for Managers. Focus on building a strong foundation in statistics, probability, and basic data interpretation, as these concepts are critical for advanced analytics. Utilize online courses from NPTEL or Coursera to supplement classroom learning in these areas.
Tools & Resources
NPTEL courses, Coursera/edX for Statistics/Probability, GTU prescribed textbooks
Career Connection
A strong quantitative base is essential for all analytical roles, improving problem-solving abilities and readiness for specialized analytics tools and techniques in later semesters.
Develop Foundational Software Skills- (Semester 1-2)
Start learning essential tools early. Focus on Microsoft Excel for data manipulation and visualization, and begin exploring introductory programming concepts in Python or R. Attend workshops or use online tutorials to get hands-on experience, even if these are not direct syllabus components initially.
Tools & Resources
Microsoft Excel, Python (Anaconda Distribution), R (RStudio), DataCamp/Kaggle for beginners
Career Connection
Early proficiency in these tools makes subsequent specialization subjects easier to grasp and positions students favorably for internships requiring basic data handling skills.
Engage in Peer Learning and Discussion Groups- (Semester 1-2)
Form study groups with classmates to discuss challenging concepts, solve case studies, and prepare for exams. Actively participate in classroom discussions to clarify doubts and gain diverse perspectives on business problems and management theories.
Tools & Resources
Classroom discussions, Peer study groups, Online forums for specific subjects
Career Connection
Enhances understanding, builds communication skills crucial for teamwork in analytics projects, and develops a strong academic support network.
Intermediate Stage
Deep Dive into Specialization Electives- (Semester 3-4)
Choose Business Analytics electives strategically in Semesters 3 and 4 based on career interests. Beyond classroom learning, undertake mini-projects in Python/R, focusing on data management, predictive, or prescriptive analytics. Explore real-world datasets from platforms like Kaggle to apply learned concepts.
Tools & Resources
Python (libraries like Pandas, NumPy, Scikit-learn), R, SQL, Kaggle datasets
Career Connection
Hands-on experience with specialized tools and techniques directly builds a portfolio for analytics roles and clarifies preferred career paths within Business Analytics.
Secure and Maximize Summer Internship Experience- (Semester 3 (during the break after Sem 2))
Actively seek a summer internship in an analytics-focused role within an Indian company or startup. Focus on applying theoretical knowledge to real business problems, building industry contacts, and understanding organizational workflows. Document project contributions meticulously for future interviews.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
A successful internship provides invaluable practical experience, strengthens your resume, and often leads to pre-placement offers or strong referral opportunities.
Build a Portfolio of Analytics Projects- (Semester 3-4)
Beyond academic projects, work on self-initiated projects or participate in hackathons focusing on Business Analytics challenges. Include a variety of projects showcasing data cleaning, modeling, visualization, and interpretation skills, preferably using different tools and techniques.
Tools & Resources
GitHub (for project hosting), Kaggle Competitions, Analytics Vidhya, Personal blog/website
Career Connection
A strong project portfolio is crucial for demonstrating practical skills to potential employers and can differentiate you in the competitive Indian job market.
Advanced Stage
Master Data Visualization and Storytelling- (Semester 4)
Proficiency in communicating insights is as important as analysis. Focus on mastering tools like Tableau or Power BI and practicing effective data storytelling. Attend workshops, complete online courses, and ensure all projects are presented with clear, impactful visualizations and narratives.
Tools & Resources
Tableau Desktop/Public, Microsoft Power BI, Databricks, Online courses on Data Storytelling
Career Connection
Effective data visualization and storytelling skills are highly valued in analytics roles, enabling graduates to translate complex data into actionable business recommendations for Indian companies.
Focus on Dissertation/Project Work for Specialization- (Semester 4)
Utilize the Dissertation/Project Work in Semester 4 to delve deep into a specific area of Business Analytics. Choose a topic that aligns with current industry trends in India (e.g., e-commerce analytics, fintech analytics, supply chain optimization) and use advanced tools and methodologies. This provides a capstone experience.
Tools & Resources
Academic databases, Industry reports, Advanced Python/R libraries, Mentorship from faculty/industry experts
Career Connection
A well-executed dissertation can serve as a significant portfolio piece, demonstrating expertise and research capability relevant to senior analytics or consulting roles.
Engage in Targeted Placement Preparation and Networking- (Semester 4)
Attend placement training sessions, participate in mock interviews, and refine your resume and LinkedIn profile to highlight analytics skills. Actively network with alumni and industry professionals through conferences, webinars, and informational interviews to explore job opportunities and gain insights into specific sectors.
Tools & Resources
Placement cell resources, LinkedIn, Industry conferences/webinars, Mock interview platforms
Career Connection
Effective placement preparation and strong networking significantly increase the chances of securing desirable job roles in top Indian companies and analytics firms upon graduation.
Program Structure and Curriculum
Eligibility:
- Any graduate with 50% marks (45% for SC/ST/SEBC/EWS candidates)
Duration: 2 years / 4 semesters
Credits: 82 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3710001 | Management Concepts & Applications | Core | 4 | Evolution of Management Thought, Planning and Decision Making, Organizing and Staffing, Directing and Controlling, Managerial Roles and Skills |
| 3710002 | Economics for Managers | Core | 4 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing, Macroeconomic Variables, Fiscal and Monetary Policy |
| 3710003 | Quantitative Analysis for Business Decisions | Core | 4 | Probability and Probability Distributions, Hypothesis Testing, Correlation and Regression Analysis, Time Series Analysis, Decision Theory |
| 3710004 | Accounting for Management | Core | 4 | Financial Accounting Principles, Analysis of Financial Statements, Cost Accounting Concepts, Budgetary Control, Standard Costing and Variance Analysis |
| 3710005 | Marketing Management | Core | 4 | Marketing Environment, Consumer Behavior, Market Segmentation, Targeting, Positioning, Product and Pricing Decisions, Promotion and Distribution Strategies |
| 3710006 | Business Communication | Core | 2 | Fundamentals of Communication, Verbal and Non-Verbal Communication, Business Correspondence, Report Writing and Presentation Skills, Group Discussion and Interview Techniques |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3720001 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management and Compensation, Industrial Relations and Employee Welfare |
| 3720002 | Financial Management | Core | 4 | Financial System and Capital Markets, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Dividend Policy and Corporate Valuation |
| 3720003 | Research Methodology | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Ethics in Research |
| 3720004 | Operations Management | Core | 4 | Production Systems and Plant Layout, Inventory Management, Quality Management and TQM, Supply Chain Management, Project Management Techniques |
| 3720005 | Legal Aspects of Business | Core | 4 | Indian Contract Act 1872, Sale of Goods Act 1930, Companies Act 2013, Consumer Protection Act 2019, Intellectual Property Rights |
| 3720006 | Business Ethics & Corporate Social Responsibility | Core | 2 | Ethical Theories and Dilemmas, Corporate Governance, CSR Models and Initiatives, Stakeholder Management, Sustainable Business Practices |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3730001 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis, Strategy Formulation and Choice, Strategy Implementation, Strategic Evaluation and Control |
| 3730002 | Enterprise Performance Management | Core | 4 | Performance Measurement Systems, Balanced Scorecard, Business Process Management, Risk Management and Compliance, Corporate Reporting and Analytics |
| 3730003 | Project Management | Core | 4 | Project Life Cycle, Project Planning and Scheduling, Project Organization and Teams, Resource Management and Cost Control, Project Risk Management |
| 3730004 | Summer Internship Project | Core | 4 | Problem Identification, Data Collection and Methodology, Data Analysis and Interpretation, Findings and Recommendations, Report Writing and Presentation |
| 3730701 | Data Management & Warehousing | Elective (Business Analytics) | 4 | Relational Database Concepts, SQL for Data Manipulation, Data Modeling and Schema Design, Data Warehousing Architecture, ETL Process and Data Marts |
| 3730702 | Predictive Analytics | Elective (Business Analytics) | 4 | Linear and Logistic Regression, Classification Techniques, Clustering Algorithms, Time Series Forecasting, Model Evaluation and Validation |
| 3730703 | Prescriptive Analytics | Elective (Business Analytics) | 4 | Optimization Techniques, Linear Programming, Simulation Modeling, Decision Analysis, Heuristic Methods |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3740001 | Global Business Management | Core | 4 | Theories of International Trade, Global Business Environment, Foreign Exchange Management, International Marketing Strategies, Cross-Cultural Management |
| 3740002 | Entrepreneurship & Startup Management | Core | 4 | Entrepreneurial Process, Idea Generation and Business Plan, Sources of Funding, Legal and Regulatory Aspects of Startups, Growth Strategies and Exit Routes |
| 3740003 | Dissertation/Project Work | Core | 4 | Problem Identification and Literature Review, Research Methodology and Data Collection, Data Analysis and Interpretation, Findings, Conclusions, and Recommendations, Thesis Writing and Viva Voce |
| 3740701 | Machine Learning for Business | Elective (Business Analytics) | 6 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Neural Networks and Deep Learning Basics, Model Deployment and Ethical AI |
| 3740702 | Big Data Analytics | Elective (Business Analytics) | 6 | Introduction to Big Data, Hadoop Ecosystem Components, Spark for Data Processing, NoSQL Databases, Stream Processing and Real-time Analytics |
| 3740703 | Data Visualization & Storytelling | Elective (Business Analytics) | 6 | Principles of Data Visualization, Choosing Appropriate Chart Types, Dashboard Design and Development, Tools like Tableau/Power BI, Storytelling with Data for Business Insights |
