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MBA-BUSINESS-ANALYTICS-SCMHRD in General at Symbiosis International University (SIU)
Pune, Maharashtra
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About the Specialization
What is General at Symbiosis International University (SIU) Pune?
This MBA Business Analytics program at SCMHRD focuses on equipping future leaders with data-driven decision-making skills crucial for the evolving Indian market. It integrates management principles with advanced analytical techniques, preparing students to leverage big data, AI, and machine learning to solve complex business challenges. The program aims to meet the significant industry demand for skilled analytics professionals.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-growth field of business analytics, working professionals looking to upskill in data science and strategic decision-making, and career changers transitioning to data-intensive roles. Applicants typically possess a strong quantitative aptitude and a desire to merge business acumen with analytical prowess.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Data Analysts, Business Intelligence Consultants, Data Scientists, and Analytics Managers in IT, finance, and e-commerce sectors. Entry-level salaries typically range from INR 6-12 LPA, with significant growth potential. The curriculum aligns with requirements for professional certifications like Tableau or Google Analytics.
Student Success Practices
Foundation Stage
Build a Strong Analytical Foundation- (Semester 1-2)
Focus rigorously on core subjects like Quantitative Techniques, Data Modelling, and Data Mining with R. Actively participate in problem-solving sessions and utilize online platforms to practice coding and statistical analysis. Form study groups to discuss concepts and clarify doubts.
Tools & Resources
RStudio, SQL platforms (e.g., LeetCode SQL), Coursera/edX courses on basic statistics, GeeksforGeeks
Career Connection
Mastering these fundamentals is critical for cracking technical rounds in interviews for analyst roles and building a robust base for advanced analytics.
Develop Robust Business Acumen- (Semester 1-2)
Engage deeply with management subjects like Financial & Management Accounting, Marketing, and Operations. Understand how analytical insights translate into strategic business decisions. Read business journals and case studies to connect theoretical knowledge with real-world scenarios in the Indian context.
Tools & Resources
Harvard Business Review, Economic Times, live case discussions, business simulation games
Career Connection
A strong understanding of business functions makes you a more effective business analyst, able to communicate data insights in a business-relevant manner, enhancing value for Indian companies.
Network and Seek Early Exposure- (Semester 1-2)
Actively participate in college clubs related to analytics or data science. Attend guest lectures and workshops by industry experts. Begin building a professional network with peers, seniors, and faculty. Look for opportunities to undertake small academic projects using public datasets.
Tools & Resources
LinkedIn, college career services, Kaggle for datasets, industry events
Career Connection
Early networking can open doors to mentorship, internship opportunities, and a better understanding of industry expectations within the Indian job market.
Intermediate Stage
Excel in Applied Analytics and Tools- (Semester 3)
Focus on hands-on application of concepts learned in Predictive Analytics, Big Data, and Data Visualization. Become proficient in industry-standard tools like Tableau/Power BI, Hadoop, and Python/R for machine learning. Work on projects that solve realistic business problems, leveraging insights from the Summer Internship Project.
Tools & Resources
Tableau Public, Power BI Desktop, Jupyter Notebooks, PyCharm, Google Colab, relevant industry certifications
Career Connection
Demonstrable proficiency in these tools and practical project experience are critical for securing roles in data science and advanced analytics, highly valued by Indian employers.
Engage in Industry Immersion (SIP)- (Between Semester 2 and 3)
Maximize the learning experience during the Summer Internship Project (SIP). Actively seek out challenging projects, collaborate with industry mentors, and apply theoretical knowledge to real-world business problems within an Indian corporate setting. Document findings meticulously and seek feedback.
Tools & Resources
Company-specific tools, project management software, industry reports
Career Connection
A successful SIP is often a direct pathway to a Pre-Placement Offer (PPO) and provides invaluable practical experience, significantly boosting employability in India.
Develop Specialized Skills and Portfolio- (Semester 3)
Beyond core subjects, explore advanced topics like Text Mining, AI/ML, or Decision Science. Build a strong portfolio of projects showcasing diverse analytical techniques and problem-solving abilities. Participate in hackathons and data science competitions to hone skills and gain recognition.
Tools & Resources
Kaggle, GitHub, specific AI/ML frameworks (TensorFlow, PyTorch), industry-specific datasets
Career Connection
A specialized skill set and a robust project portfolio differentiate you in the competitive Indian job market for roles requiring advanced analytical capabilities.
Advanced Stage
Master Strategic Thinking and Project Execution- (Semester 4)
Apply a holistic business perspective to analytics projects. Focus on subjects like Strategic Management, Digital Transformation, and Project Management. Develop the ability to lead end-to-end analytics initiatives, from problem definition to solution deployment, keeping business impact in mind.
Tools & Resources
Agile methodologies, project management tools (Jira, Asana), strategic frameworks
Career Connection
This prepares students for leadership roles where they can drive data strategy and manage analytics teams effectively within Indian organizations.
Ace the Capstone Project and Dissertation- (Semester 4)
Dedicate significant effort to the Capstone Project and Industry Dissertation. Choose a topic that aligns with career aspirations and allows for the application of advanced analytics to a complex, real-world business problem. Work closely with faculty and industry mentors for guidance and rigorous review.
Tools & Resources
Research databases, statistical software, presentation tools, academic writing resources
Career Connection
High-quality capstone projects and dissertations are powerful resume enhancers, demonstrating deep domain expertise and the ability to deliver impactful solutions, crucial for top placements.
Strategic Career Planning & Placement Preparation- (Semester 4)
Actively engage with the placement cell, attend resume building workshops, and practice mock interviews specifically for analytics roles. Research target companies and tailor applications to their requirements. Network aggressively with alumni and industry professionals to identify opportunities.
Tools & Resources
SCMHRD Placement Cell, LinkedIn, Naukri.com, interview preparation platforms (e.g., Glassdoor)
Career Connection
Proactive and strategic placement preparation maximizes chances of securing desirable job offers from leading companies in India''''s booming analytics sector.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree with minimum 50% marks (45% for SC/ST) from any recognized University/Institution. Final year students can also apply. Must have a valid SNAP Test score.
Duration: 2 years (4 semesters)
Credits: 99 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| TBD | Introduction to Business Analytics | Core | 3 | Role of Business Analytics, Data Science Concepts, Data Visualization Fundamentals, Analytics Tools Overview, Business Intelligence |
| TBD | Managerial Economics | Core | 3 | Demand and Supply Analysis, Market Structures, Pricing Strategies, Production and Cost Analysis, Economic Decision Making |
| TBD | Financial & Management Accounting | Core | 3 | Financial Statements Analysis, Costing Methods, Budgeting and Control, Working Capital Management, Financial Ratios |
| TBD | Organizational Behaviour | Core | 3 | Individual Behaviour in Organizations, Group Dynamics and Teamwork, Motivation Theories, Leadership Styles, Organizational Culture |
| TBD | Quantitative Techniques & Operations Research | Core | 3 | Statistical Methods, Probability Distributions, Hypothesis Testing, Linear Programming, Decision Theory |
| TBD | Business Communication | Core | 3 | Verbal and Non-Verbal Communication, Presentation Skills, Report Writing, Interpersonal Communication, Cross-Cultural Communication |
| TBD | Data Modelling for Business Analytics | Core | 3 | Database Concepts, Relational Databases, SQL Queries, Data Warehousing Concepts, ETL Processes |
| TBD | Data Mining with R | Core | 3 | R Programming Fundamentals, Data Preprocessing in R, Classification Algorithms, Clustering Techniques, Association Rule Mining |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| TBD | Human Resource Management | Core | 3 | HR Planning, Recruitment and Selection, Performance Management, Training and Development, Compensation and Benefits |
| TBD | Marketing Management | Core | 3 | Marketing Mix, Consumer Behavior, Market Segmentation, Branding Strategies, Product Life Cycle |
| TBD | Operations Management | Core | 3 | Production Planning and Control, Inventory Management, Quality Management, Supply Chain Management, Operations Strategy |
| TBD | Financial Management | Core | 3 | Capital Budgeting, Cost of Capital, Dividend Policy, Risk and Return, Corporate Finance Decisions |
| TBD | Big Data Analytics using Hadoop & Spark | Core | 3 | Big Data Ecosystem, Hadoop Distributed File System, MapReduce Framework, Apache Spark, NoSQL Databases |
| TBD | Predictive Analytics | Core | 3 | Linear Regression, Logistic Regression, Time Series Analysis, Forecasting Models, Model Evaluation Metrics |
| TBD | Web & Social Media Analytics | Core | 3 | Web Analytics Tools (Google Analytics), Social Media Metrics, Sentiment Analysis, A/B Testing, Customer Journey Analysis |
| TBD | Data Visualization with Tableau/Power BI | Core | 3 | Principles of Data Visualization, Tableau Interface and Features, Power BI Dashboards, Interactive Visualizations, Storytelling with Data |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| TBD | Business Intelligence & Data Warehousing | Core | 3 | BI Architectures, Data Warehousing Concepts, OLAP and OLTP, Data Marts, Data Governance |
| TBD | Text Mining & Natural Language Processing | Core | 3 | Text Preprocessing, NLP Techniques, Sentiment Analysis, Topic Modeling, Named Entity Recognition |
| TBD | Decision Science & Optimization | Core | 3 | Decision Trees, Simulation Models, Optimization Algorithms, Game Theory, Multi-Criteria Decision Making |
| TBD | Artificial Intelligence & Machine Learning | Core | 3 | AI Fundamentals, Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Concepts |
| TBD | Data Privacy & Ethics | Core | 3 | Data Governance Frameworks, GDPR and Indian Data Laws, Ethical AI Principles, Data Security Measures, Privacy-Preserving Techniques |
| TBD | Project Management | Core | 3 | Project Life Cycle, Project Planning and Scheduling, Risk Management, Agile Methodologies, Project Monitoring and Control |
| TBD | Business Consulting (Live Projects) | Core | 3 | Consulting Frameworks, Problem-Solving Methodologies, Client Engagement, Data-Driven Recommendations, Project Delivery |
| TBD | Summer Internship Project (SIP) | Project | 6 | Real-world Business Problem Analysis, Data Collection and Cleaning, Analytical Model Development, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| TBD | Strategic Management | Core | 3 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Competitive Advantage, Corporate Governance |
| TBD | Digital Transformation | Core | 3 | Digital Strategy, Emerging Technologies (AI, IoT), Business Model Innovation, Change Management, Digital Ecosystems |
| TBD | Cyber Security & Digital Forensics | Core | 3 | Cybersecurity Threats, Network Security, Cryptography, Digital Forensics, Incident Response |
| TBD | Capstone Project | Project | 6 | End-to-end Project Execution, Problem Identification, Solution Design, Implementation and Evaluation, Report and Presentation |
| TBD | Industry Dissertation | Project | 6 | In-depth Research Methodology, Literature Review, Data Analysis, Critical Evaluation, Academic Writing |
| TBD | Entrepreneurship & Innovation | Core | 3 | Startup Ecosystem, Business Plan Development, Funding and Investment, Innovation Strategies, Venture Creation |
