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MBA-INFORMATION-TECHNOLOGY-SICSR in Data Analytics at Symbiosis International University (SIU)
Pune, Maharashtra
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About the Specialization
What is Data Analytics at Symbiosis International University (SIU) Pune?
This Data Analytics program at Symbiosis International University''''s SICSR focuses on equipping future managers with advanced analytical skills to derive actionable insights from complex datasets. With India''''s rapid digital transformation, there''''s immense demand for professionals who can leverage data for strategic decision-making, driving business growth across various sectors like e-commerce, finance, and healthcare. The program differentiates itself by blending robust management principles with cutting-edge analytical tools and techniques.
Who Should Apply?
This program is ideal for fresh graduates from engineering, science, commerce, or management backgrounds seeking entry into the booming data analytics field in India. It also caters to working professionals aiming to upskill for data-driven roles or career changers transitioning to the analytics domain. Candidates with a foundational understanding of mathematics, statistics, or programming will find the curriculum highly engaging and beneficial for accelerated learning.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, Data Scientist, or Analytics Consultant in top Indian and multinational companies. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning upwards of INR 15-30 LPA. The program aligns with industry certifications like Tableau Certified Associate, Google Data Analytics Professional, and Microsoft Certified: Azure Data Scientist Associate, fostering significant growth trajectories.
Student Success Practices
Foundation Stage
Build a Strong Analytical & Programming Foundation- (Semester 1-2)
Focus intently on core subjects like Business Statistics and Object-Oriented Programming (Python). Dedicate extra time to practice coding challenges and statistical problem-solving. Join peer study groups to clarify concepts and collaboratively tackle assignments.
Tools & Resources
Python (Anaconda, Jupyter Notebook), Statistical software (R/SPSS for basics), Online platforms like HackerRank, LeetCode, Coursera for foundational courses
Career Connection
Mastering these fundamentals is crucial for understanding advanced analytics and is a prerequisite for most entry-level data roles, significantly impacting internship and placement opportunities.
Engage Actively in Business Contextual Learning- (Semester 1-2)
Pay close attention to core management subjects (Marketing, Finance, Operations, HR). Understand how data analytics integrates into these functions. Participate in case studies and discussions that bridge technical skills with business problems.
Tools & Resources
Harvard Business Review cases, Industry news publications (e.g., Economic Times, Livemint), Business simulation games
Career Connection
A strong grasp of business fundamentals allows analysts to provide meaningful, actionable insights, making them more valuable in corporate settings and enhancing their chances of securing strategic roles.
Cultivate Effective Communication & Presentation Skills- (Semester 1-2)
Utilize Business Communication courses to hone your writing and presentation abilities. Practice articulating complex analytical findings clearly and concisely to non-technical audiences. Volunteer for class presentations and participate in debates.
Tools & Resources
Microsoft PowerPoint/Google Slides, Canva for visual aids, Toastmasters (if available)
Career Connection
Effective communication is paramount for data professionals; it enables you to ''''sell'''' your insights to stakeholders, a critical skill for career progression and leadership roles in analytics.
Intermediate Stage
Deep Dive into Data Analytics Tools & Technologies- (Semester 3)
Beyond coursework, invest time in hands-on practice with specialized tools for Data Warehousing, BI, and Machine Learning. Work on mini-projects to build a portfolio. Consider pursuing relevant certifications.
Tools & Resources
Tableau Public/Power BI Desktop, SQL (MySQL/PostgreSQL), Python libraries (Pandas, NumPy, Scikit-learn), Cloud platforms (AWS/Azure/GCP free tiers)
Career Connection
Proficiency in industry-standard tools makes you highly marketable. Certifications validate your skills, giving you a competitive edge in Indian job market for roles like BI Developer or Data Scientist.
Seek Industry Exposure Through Internships and Projects- (Semester 3)
Actively apply for summer internships in data analytics roles. Take on challenging capstone projects that involve real-world datasets and business problems. Network with industry professionals through college events and LinkedIn.
Tools & Resources
LinkedIn for networking, Internship portals (Internshala, Naukri), Kaggle for datasets and competitions
Career Connection
Practical industry experience is invaluable. It helps you apply classroom knowledge, build a professional network, and often leads directly to pre-placement offers, accelerating your career launch in India.
Participate in Analytics Competitions & Hackathons- (Semester 3)
Engage in data science competitions (e.g., Kaggle, Analytics Vidhya) to test your skills against peers. These platforms offer opportunities to work on diverse problems and learn from top practitioners, enhancing your problem-solving abilities.
Tools & Resources
Kaggle.com, Analytics Vidhya community, Local tech hackathon events
Career Connection
Success in competitions demonstrates your practical skills and innovation to potential employers, making your resume stand out and showcasing your ability to deliver under pressure, highly valued by Indian tech firms.
Advanced Stage
Master a Specific Analytics Sub-domain- (Semester 4)
Choose a specialization track (e.g., NLP, Prescriptive Analytics, Big Data) and delve deeper through advanced electives, online courses, and personal projects. Become proficient in domain-specific tools and methodologies.
Tools & Resources
Advanced Python libraries (TensorFlow, PyTorch, NLTK), Domain-specific software (e.g., Hadoop, Spark), Specialized MOOCs from edX/Coursera
Career Connection
Developing expertise in a niche area of data analytics makes you a specialist, opening doors to advanced and higher-paying roles in specialized consulting firms or specific industry verticals in India.
Focus on Capstone Project for Portfolio Building- (Semester 4)
Dedicate significant effort to your Capstone Project. Choose a complex, industry-relevant problem, apply comprehensive analytical techniques, and produce a high-quality deliverable. This project becomes your primary portfolio piece.
Tools & Resources
Integrated Development Environments (e.g., VS Code), Version control (Git/GitHub), Cloud computing services
Career Connection
A robust Capstone Project demonstrates your end-to-end problem-solving capabilities and serves as a powerful talking point during interviews, directly influencing placement success and the quality of offers received.
Intensive Placement Preparation and Mock Interviews- (Semester 4)
Engage in rigorous preparation for placements including resume building, behavioral interview practice, and technical interview drills focusing on data structures, algorithms, SQL, and case studies. Participate in mock interviews with faculty and alumni.
Tools & Resources
Interview prep books (e.g., Cracking the Coding Interview), Glassdoor for company-specific interview questions, Alumni network for mentorship
Career Connection
Thorough preparation is critical for navigating the competitive Indian job market. It increases confidence, sharpens interview skills, and maximizes your chances of securing preferred job roles and compensation packages.
Program Structure and Curriculum
Eligibility:
- Graduate from any recognized University/Institution of National Importance with a minimum of 50% marks or equivalent grade (45% for Scheduled Caste/Scheduled Tribes). Appearance in SNAP (Symbiosis National Aptitude Test) followed by Group Exercise, Personal Interview and Written Ability Test.
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 |
|---|---|---|---|---|
| 2023020101 | Management Principles and Practices | Core | 3 | Management Theories, Functions of Management, Organizational Structure, Decision Making, Ethical Management |
| 2023020102 | Business Statistics | Core | 3 | Probability and Distributions, Hypothesis Testing, Regression Analysis, Time Series Analysis, Sampling Methods |
| 2023020103 | Financial Accounting and Reporting | Core | 3 | Accounting Principles, Financial Statements, Ratio Analysis, Cash Flow Statement, Company Accounts |
| 2023020104 | Managerial Economics | Core | 3 | Demand and Supply, Market Structures, Pricing Strategies, Cost Analysis, National Income |
| 2023020105 | Business Communication | Core | 2 | Verbal Communication, Non-verbal Communication, Report Writing, Presentation Skills, Cross-cultural Communication |
| 2023020106 | IT Infrastructure Management | Core | 4 | Network Infrastructure, Cloud Computing Basics, Data Center Management, Operating Systems, IT Service Management |
| 2023020107 | Object Oriented Programming for Business | Core | 4 | Programming Concepts (Python), Data Structures, Control Flow, Functions and Modules, Object-Oriented Concepts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2023020201 | Marketing Management | Core | 3 | Marketing Mix, Consumer Behavior, Market Segmentation, Product Life Cycle, Digital Marketing Basics |
| 2023020202 | Financial Management | Core | 3 | Capital Budgeting, Working Capital Management, Cost of Capital, Sources of Finance, Risk and Return |
| 2023020203 | Human Resource Management | Core | 3 | HR Planning, Recruitment and Selection, Performance Management, Training and Development, Employee Relations |
| 2023020204 | Operations Management | Core | 3 | Production Planning, Inventory Management, Quality Management, Supply Chain Management, Process Design |
| 2023020205 | Research Methodology | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis Tools, Report Writing |
| 2023020206 | Database Management Systems | Core | 4 | Relational Databases, SQL Queries, Database Design, Normalization, Database Security |
| 2023020207 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design, Testing Strategies, Project Management |
| 2023020208 | Business Analytics Fundamentals | Core | 3 | Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization, Analytics Tools (Excel, Tableau basics) |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2023020301 | Strategic Management | Core | 3 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Corporate Governance, Competitive Advantage |
| 2023020302 | Entrepreneurship Development | Core | 3 | Entrepreneurial Process, Business Plan Development, Funding Sources, Innovation Management, Start-up Ecosystem |
| 2023020303 | Data Warehousing and Data Mining | Elective | 4 | Data Warehouse Architecture, ETL Processes, OLAP Cubes, Data Mining Techniques, Association Rule Mining |
| 2023020304 | Business Intelligence and Data Visualization | Elective | 4 | BI Concepts, Dashboard Design, Power BI/Tableau, Data Storytelling, Reporting Tools |
| 2023020305 | Machine Learning for Business | Elective | 4 | Supervised Learning, Unsupervised Learning, Regression Models, Classification Algorithms, Model Evaluation |
| 2023020306 | Big Data Technologies | Elective | 4 | Hadoop Ecosystem, Spark Framework, NoSQL Databases, Distributed Computing, Cloud-based Big Data |
| 2023020307 | Summer Internship Project | Project | 6 | Problem Identification, Data Collection, Analysis and Interpretation, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2023020401 | Legal Aspects of Business and Cyber Security | Core | 3 | Indian Contract Act, Company Law, Cyber Laws (IT Act 2000), Data Privacy Regulations, Cyber Security Threats |
| 2023020402 | Advanced Statistical Methods for Business Analytics | Elective | 4 | Multivariate Analysis, Factor Analysis, Cluster Analysis, ANOVA, Structural Equation Modeling |
| 2023020403 | Text Analytics and Natural Language Processing | Elective | 4 | Text Preprocessing, Sentiment Analysis, Topic Modeling, Word Embeddings, Chatbot Development |
| 2023020404 | Prescriptive Analytics and Optimization | Elective | 4 | Optimization Techniques, Simulation Modeling, Decision Trees, Supply Chain Optimization, Revenue Management |
| 2023020405 | Web and Social Media Analytics | Elective | 4 | Web Traffic Analysis, Google Analytics, Social Media Metrics, Audience Segmentation, Campaign Performance |
| 2023020406 | Capstone Project | Project | 8 | Problem Formulation, Methodology Design, Implementation and Testing, Results and Discussion, Project Defense |
