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BBA-HONS-HONS-WITH-RESEARCH-GENERAL in Business Analytics at Symbiosis International University
Pune, Maharashtra
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About the Specialization
What is Business Analytics at Symbiosis International University Pune?
This Business Analytics program at Symbiosis International University focuses on equipping students with the quantitative and analytical skills necessary to interpret complex business data. In the vibrant Indian market, data-driven decision-making is paramount across sectors, making this specialization highly relevant. The program stands out by integrating core management principles with cutting-edge analytical tools, preparing graduates for real-world challenges.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the rapidly expanding field of data science and analytics in India. It also caters to working professionals aiming to upskill for managerial or strategic roles that require strong analytical capabilities. Career changers from non-technical backgrounds with a keen interest in data are welcome, provided they possess a foundational aptitude for mathematics and logical reasoning.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Scientist, Market Research Analyst, and Consultant. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA in Indian companies. The curriculum aligns with requirements for professional certifications like Tableau or Python for Data Science, enhancing growth trajectories in a competitive job market.
Student Success Practices
Foundation Stage
Build Foundational Analytical Skills- (Semester 1-2)
Focus on mastering core mathematical and statistical concepts from Business Mathematics and Statistics courses. Actively participate in problem-solving sessions and ensure a strong grasp of data interpretation basics, which are critical for advanced analytics.
Tools & Resources
Khan Academy, NCERT Mathematics (Class 11-12) for fundamentals, Peer study groups
Career Connection
A solid foundation is essential for understanding and applying complex analytical models, directly impacting your ability to excel in future data roles and interviews.
Develop Essential Software Proficiency- (Semester 1-2)
Beyond classroom learning, dedicate time to self-learn and practice advanced functionalities of MS Excel, particularly for data cleaning, manipulation, and basic visualization. This practical skill is immediately applicable in internships and entry-level analytical roles.
Tools & Resources
Microsoft Excel certifications, Online tutorials (e.g., Udemy, Coursera for Excel), Practical exercises
Career Connection
Proficiency in Excel is a fundamental requirement for almost all business analyst roles in India, making you immediately employable and productive.
Cultivate Effective Business Communication- (Semester 1-2)
Hone your written and verbal communication skills through active participation in group discussions, presentations, and report writing. Effective communication is vital for translating complex analytical insights into actionable business strategies for stakeholders.
Tools & Resources
Toastmasters International (student clubs), Business communication workshops, Practice presenting case studies
Career Connection
Strong communication skills differentiate analysts, enabling them to lead projects, influence decisions, and present findings clearly to non-technical teams and management.
Intermediate Stage
Deep Dive into Analytical Tools and Programming- (Semester 3-5)
Go beyond the syllabus in subjects like Business Analytics, Data Analytics using Excel, and Python for Business Analytics. Work on mini-projects using real datasets, focusing on practical application of statistical methods and programming languages (Python).
Tools & Resources
Kaggle for datasets and competitions, HackerRank for coding practice, DataCamp/DataQuest for guided learning paths
Career Connection
Hands-on experience with Python and advanced Excel makes you a strong candidate for data analyst and junior data scientist roles, demonstrating practical problem-solving abilities.
Seek Industry Exposure through Internships & Projects- (Semester 4-5)
Actively pursue short-term internships, virtual internships, or industry-sponsored projects. Apply theoretical knowledge to real-world business problems and build a portfolio of analytical projects, showcasing your capabilities to potential employers.
Tools & Resources
LinkedIn for internship search, Internshala, College career services, Networking with alumni
Career Connection
Internships provide invaluable industry context, practical skills, and networking opportunities, significantly boosting your placement prospects and helping you understand corporate culture.
Engage in Data Visualization & Storytelling- (Semester 5)
Master tools like Tableau or Power BI to transform raw data into compelling visual dashboards. Practice presenting your analytical insights clearly and concisely, focusing on the ''''story'''' the data tells and its business implications.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop (free), YouTube tutorials for visualization best practices
Career Connection
The ability to visually communicate complex data is a critical skill for business analysts, enabling effective decision-making and stakeholder buy-in in any organization.
Advanced Stage
Specialize in Advanced Analytics & Machine Learning- (Semester 6-8)
Focus on the advanced specialization courses like Big Data Analytics, Machine Learning, and Deep Learning. Work on capstone projects or research papers that apply these sophisticated techniques to solve complex business problems, demonstrating a deep understanding.
Tools & Resources
Google Colab for Python ML/DL, TensorFlow/PyTorch documentation, Academic papers and research journals
Career Connection
Mastery of advanced analytics positions you for specialized roles like ML Engineer, AI Analyst, or advanced Data Scientist, commanding higher salaries and greater impact.
Prepare for Placements & Professional Certifications- (Semester 6-8)
Engage rigorously in placement preparation activities, including mock interviews, aptitude tests, and resume building workshops. Consider pursuing industry-recognized certifications in cloud analytics (e.g., AWS, Azure) or specific tools (e.g., Advanced Python for Data Science) to enhance your profile.
Tools & Resources
Placement cell resources, Online interview platforms (e.g., LeetCode for problem-solving), Professional certification bodies
Career Connection
Strategic placement preparation and relevant certifications significantly increase your chances of securing competitive roles in top-tier companies and kickstarting a successful career.
Cultivate a Professional Network & Thought Leadership- (Semester 7-8)
Actively network with alumni, industry professionals, and faculty. Attend webinars, conferences, and industry events to stay updated on trends. Consider contributing to academic research or industry blogs to establish thought leadership in Business Analytics.
Tools & Resources
LinkedIn for professional networking, Industry meetups/conferences, Medium/Towards Data Science for blogging
Career Connection
A strong professional network opens doors to job opportunities, mentorship, and collaboration, while thought leadership establishes your credibility and expertise in the field.
Program Structure and Curriculum
Eligibility:
- Standard XII (10+2) or equivalent examination passed from any recognized Board with minimum 50% marks (45% for Scheduled Caste/Scheduled Tribes).
Duration: 3 years (6 semesters) for Hons / 4 years (8 semesters) for Hons with Research
Credits: 144 for Hons / 192 for Hons with Research Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AECC 1 | English Language | Ability Enhancement Compulsory Course | 3 | Communication Skills, Grammar & Vocabulary, Comprehension & Writing, Presentation Skills, Report Writing |
| CC 1 | Principles of Management | Core Course | 4 | Introduction to Management, Planning & Decision Making, Organizing & Staffing, Directing & Motivation, Controlling & Coordination |
| CC 2 | Business Economics | Core Course | 4 | Introduction to Economics, Demand & Supply Analysis, Production & Cost, Market Structures, Macroeconomics & Business Cycles |
| CC 3 | Business Accounting | Core Course | 4 | Accounting Fundamentals, Journal & Ledger, Trial Balance & Financial Statements, Ratio Analysis, Introduction to Cost Accounting |
| SEC 1 | Introduction to MS Office | Skill Enhancement Course | 3 | MS Word for Business, Advanced Excel Functions, PowerPoint for Presentations, Outlook for Communication, Data Management in MS Office |
| GE 1 | Environmental Studies | Generic Elective Course | 3 | Ecosystems & Biodiversity, Natural Resources, Environmental Pollution, Global Environmental Issues, Environmental Management |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AECC 2 | Business Communication | Ability Enhancement Compulsory Course | 3 | Verbal & Non-Verbal Communication, Formal & Informal Communication, Business Correspondence, Presentation & Negotiation Skills, Digital Communication |
| CC 4 | Organizational Behaviour | Core Course | 4 | Foundations of OB, Perception & Learning, Motivation & Leadership, Group Dynamics & Team Building, Conflict Management & Change |
| CC 5 | Business Mathematics | Core Course | 4 | Set Theory & Functions, Matrix Algebra, Calculus for Business, Financial Mathematics, Linear Programming |
| CC 6 | Marketing Management | Core Course | 4 | Introduction to Marketing, Consumer Behaviour, Market Segmentation & Targeting, Product & Pricing Strategies, Promotion & Distribution |
| SEC 2 | Entrepreneurship Development | Skill Enhancement Course | 3 | Entrepreneurial Mindset, Business Idea Generation, Business Plan Development, Funding for Start-ups, Legal Aspects of Entrepreneurship |
| GE 2 | Computer Applications | Generic Elective Course | 3 | Introduction to Computers, Operating Systems, Networking Fundamentals, Data Security, Web Technologies |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 7 | Production & Operations Management | Core Course | 4 | Operations Strategy, Process Design, Capacity Planning, Inventory Management, Quality Management |
| CC 8 | Human Resource Management | Core Course | 4 | HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation & Benefits |
| CC 9 | Business Statistics | Core Course | 4 | Data Collection & Presentation, Probability & Distributions, Hypothesis Testing, Correlation & Regression, Time Series Analysis |
| CC 10 | Financial Management | Core Course | 4 | Financial Goals, Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Policy |
| SEC 3 | Professional Ethics & Values | Skill Enhancement Course | 3 | Ethical Theories, Corporate Social Responsibility, Business Ethics Dilemmas, Whistleblowing, Global Business Ethics |
| GE 3 | Generic Elective (from other domains) | Generic Elective Course | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 11 | Research Methodology | Core Course | 4 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis & Interpretation, Report Writing |
| CC 12 | International Business | Core Course | 4 | Globalization & Trade Theories, International Trade Environment, Foreign Exchange Management, International Marketing, Global Business Strategies |
| CC 13 | Business Law | Core Course | 4 | Contract Law, Sale of Goods Act, Consumer Protection Act, Company Law, Intellectual Property Rights |
| CC 14 | Business Analytics | Core Course | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics Basics, Prescriptive Analytics Basics, Data-driven Decision Making |
| SEC 4 | Digital Marketing | Skill Enhancement Course | 3 | SEO & SEM, Social Media Marketing, Content Marketing, Email Marketing, Analytics for Digital Marketing |
| GE 4 | Generic Elective (from other domains) | Generic Elective Course | 3 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 15 | Corporate Governance & Ethics | Core Course | 4 | Corporate Governance Principles, Board of Directors, Stakeholder Management, Ethical Leadership, Regulatory Frameworks |
| CC 16 | E-Business | Core Course | 4 | E-commerce Models, Digital Payments, Supply Chain in E-Business, E-Marketing Strategies, Legal & Security Issues in E-Business |
| DSE 1 | Data Analytics using Excel | Discipline Specific Elective (Specialization) | 4 | Excel Data Functions, Data Cleaning & Transformation, PivotTables & Charts, What-If Analysis, Advanced Excel for Business Analysis |
| DSE 2 | Python for Business Analytics | Discipline Specific Elective (Specialization) | 4 | Python Fundamentals, Data Structures in Python, Pandas for Data Manipulation, NumPy for Numerical Operations, Introduction to Data Visualization with Python |
| DSE 3 | Data Visualization & Dashboarding | Discipline Specific Elective (Specialization) | 4 | Principles of Data Visualization, Chart Types & Best Practices, Dashboard Design, Using Tools like Tableau/Power BI, Storytelling with Data |
| OE 1 | Open Elective | Open Elective Course | 3 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 17 | Supply Chain Management | Core Course | 4 | Supply Chain Strategy, Logistics & Transportation, Inventory Management in SCM, Sourcing & Procurement, Supply Chain Analytics |
| CC 18 | Strategic Management | Core Course | 4 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Corporate Level Strategies, Competitive Advantage |
| DSE 4 | Big Data Analytics | Discipline Specific Elective (Specialization) | 4 | Introduction to Big Data, Hadoop Ecosystem, Spark for Big Data Processing, NoSQL Databases, Big Data Applications |
| DSE 5 | Machine Learning for Business | Discipline Specific Elective (Specialization) | 4 | Introduction to ML, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation, ML Applications in Business |
| DSE 6 | Business Intelligence | Discipline Specific Elective (Specialization) | 4 | BI Concepts, Data Warehousing, ETL Processes, OLAP, BI Tools & Applications |
| OE 2 | Open Elective | Open Elective Course | 3 | |
| RP 1 / Project | Research Paper 1 (Hons with Research) / Project (Hons) | Research Component / Project | 6 | Problem Identification, Literature Review, Methodology, Data Analysis, Report Writing/Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 19 | Global Business Environment | Core Course | 4 | International Economic Systems, Political & Cultural Environment, Legal & Regulatory Frameworks, Global Competitiveness, Emerging Markets |
| DSE 7 | Data Mining Techniques | Discipline Specific Elective (Specialization) | 4 | Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Techniques, Web Mining |
| DSE 8 | Predictive Analytics | Discipline Specific Elective (Specialization) | 4 | Regression Analysis, Time Series Forecasting, Classification Models, Ensemble Methods, Model Deployment |
| DSE 9 | Deep Learning for Business | Discipline Specific Elective (Specialization) | 4 | Neural Network Fundamentals, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks (TensorFlow/PyTorch), Business Applications of DL |
| RP 2 | Research Paper 2 | Research Component | 6 | Advanced Research Design, Data Collection, Advanced Statistical Analysis, Academic Writing, Peer Review Process |
| OE 3 | Open Elective | Open Elective Course | 3 |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC 20 | Innovation & Entrepreneurship | Core Course | 4 | Innovation Process, Types of Innovation, Entrepreneurial Ecosystems, Venture Capital & Funding, Start-up Scaling Strategies |
| DSE 10 | Natural Language Processing (NLP) for Business | Discipline Specific Elective (Specialization) | 4 | NLP Fundamentals, Text Preprocessing, Sentiment Analysis, Topic Modeling, Chatbots & Conversational AI |
| DSE 11 | Prescriptive Analytics | Discipline Specific Elective (Specialization) | 4 | Optimization Techniques, Simulation Modeling, Decision Analysis, Game Theory Applications, Resource Allocation |
| DSE 12 | Blockchain for Business | Discipline Specific Elective (Specialization) | 4 | Blockchain Fundamentals, Cryptography, Smart Contracts, Decentralized Applications (DApps), Blockchain Use Cases in Business |
| RP 3 | Research Paper 3 | Research Component | 6 | Independent Research Project, Data Validation, Critical Analysis, Thesis Development, Public Presentation |
| OE 4 | Open Elective | Open Elective Course | 3 | |
| Internship | Internship (Mandatory for Hons with Research) | Internship | 6 | Industry Exposure, Practical Skill Application, Project Implementation, Professional Networking, Corporate Reporting |
