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M-B-A in Business Analytics at Soundarya Institute of Management & Science
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at Soundarya Institute of Management & Science Bengaluru?
This Business Analytics program at Soundarya Institute of Management & Science focuses on equipping students with the skills to transform raw data into actionable business insights. Recognizing the escalating demand for data-driven decision-making across Indian industries, the program integrates statistical analysis, machine learning, and data visualization techniques. It differentiates itself by combining core management principles with cutting-edge analytical tools, preparing graduates for the dynamic Indian market.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into the booming data analytics field, working professionals looking to upskill and leverage data in their current roles, and career changers transitioning into data-centric industries. Candidates from backgrounds in commerce, engineering, statistics, or mathematics with a strong analytical aptitude will find this specialization particularly rewarding for navigating India''''s competitive job landscape.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Consultant, Marketing Analyst, HR Analyst, and Financial Analyst in companies ranging from startups to large corporations. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 10-20 LPA. The program also aligns with global professional certifications in data science and analytics, fostering strong growth trajectories in Indian companies.
Student Success Practices
Foundation Stage
Master Foundational Analytics Tools- (Semester 1)
Dedicate consistent time to learn and practice fundamental data analysis tools like Microsoft Excel for data manipulation and basic statistics, and begin exploring Python or R for more advanced computational tasks. Participate in online tutorials and complete extra exercises to solidify these core competencies.
Tools & Resources
Microsoft Excel (Data Analysis ToolPak), Python (Jupyter notebooks with Pandas, NumPy), R (RStudio), online courses from platforms like Coursera (e.g., ''''Python for Everybody'''')
Career Connection
These tools are the bedrock for any analytics role, making you immediately productive in data entry, cleaning, and initial insights generation in an Indian business context.
Actively Engage in Business Case Discussions- (Semester 1)
Leverage common core subjects like Managerial Economics and Marketing Management by actively participating in case study discussions. Focus on identifying business problems, understanding data''''s role in decision-making, and articulating your analytical perspective. Form study groups to simulate real-world problem-solving.
Tools & Resources
Business school case studies (e.g., Ivey, HBR), current business news (Economic Times, Business Standard), peer group discussions
Career Connection
Develops critical thinking and communication skills essential for business analyst and consultant roles, allowing you to translate technical findings into business language for Indian companies.
Start Building an Analytics Portfolio- (Semester 1)
Even in the first semester, start working on small data projects using readily available public datasets (e.g., from government portals, Kaggle). Focus on descriptive analytics – cleaning data, calculating basic statistics, and creating simple visualizations. Document your code and insights clearly.
Tools & Resources
Kaggle datasets, Google Sheets, Tableau Public or Power BI Desktop (free versions), GitHub for version control
Career Connection
Provides tangible evidence of your skills, differentiating you in early internship applications and showcasing your proactive approach to learning in India''''s competitive job market.
Intermediate Stage
Intensify Data Science Skill Application- (Semester 2)
Build upon the foundation by applying more advanced statistical techniques and machine learning algorithms learned in Quantitative Techniques for Business Decisions and specialized electives. Work on projects that involve predictive modeling, utilizing Python/R for data preprocessing, model building, and evaluation.
Tools & Resources
Scikit-learn (Python), caret (R), advanced Excel functions, analytics blogs (e.g., Analytics Vidhya, Towards Data Science), Kaggle competitions
Career Connection
This deepens your technical proficiency, making you a stronger candidate for data scientist and advanced analyst roles, crucial for handling complex data challenges in Indian industries.
Seek Relevant Internships and Workshops- (Semester 2)
Actively look for summer internships or part-time roles in data analytics, business intelligence, or market research firms. Attend industry workshops, seminars, and webinars focusing on emerging analytics trends and technologies. Network with professionals to understand real-world applications.
Tools & Resources
LinkedIn, Internshala, college placement cell, industry associations (e.g., NASSCOM events), company websites
Career Connection
Provides invaluable practical experience, industry exposure, and networking opportunities that are critical for securing placements and understanding the expectations of Indian employers.
Participate in Analytics Competitions- (Semester 2)
Challenge yourself by participating in data hackathons and analytics competitions on platforms like Kaggle, Analytics Vidhya, or even inter-college events. This fosters competitive learning, problem-solving under pressure, and exposes you to diverse datasets and business problems.
Tools & Resources
Kaggle, HackerEarth, Analytics Vidhya''''s DataHack platform, team collaboration tools
Career Connection
Enhances your resume with demonstrable achievements, develops teamwork and time management skills, and can lead to recognition or even direct hiring opportunities from Indian tech firms.
Advanced Stage
Execute a Capstone Project/Internship with Impact- (Semesters 3-4)
For your mandatory project work and internship, choose a problem that directly addresses a significant business challenge for a company. Focus on end-to-end implementation, from data collection and analysis to presenting actionable recommendations. Aim for measurable business impact.
Tools & Resources
Project management software, advanced analytics platforms (e.g., cloud services like AWS/Azure/GCP), visualization tools (Tableau/Power BI), mentor guidance
Career Connection
This provides a robust portfolio piece, demonstrating your ability to deliver real business value, which is highly sought after by Indian companies for roles requiring independent problem-solving and strategic thinking.
Develop Communication & Storytelling Skills- (Semesters 3-4)
Focus on effectively communicating complex analytical findings to non-technical stakeholders. Practice creating clear, concise presentations and reports using data visualizations. Participate in mock interviews and presentation drills, emphasizing the ''''so what'''' of your analysis.
Tools & Resources
PowerPoint, Google Slides, Tableau Story Points, Power BI Dashboards, Toastmasters International clubs, presentation skills workshops
Career Connection
In Indian corporate settings, the ability to translate technical jargon into business insights is paramount for roles like Business Analyst, Consultant, and Product Manager, significantly impacting your career progression.
Strategic Career Planning & Networking- (Semesters 3-4)
Actively engage with the placement cell, alumni network, and industry professionals. Tailor your resume and LinkedIn profile to specific roles in Business Analytics, highlighting relevant projects and skills. Prepare thoroughly for technical and behavioral interviews, focusing on industry-specific questions.
Tools & Resources
College placement cell, LinkedIn, alumni portals, mock interview platforms, company career pages, industry events
Career Connection
Maximizes your chances of securing desired placements in top Indian and multinational companies, building a strong professional network that will support your long-term career growth in the analytics domain.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree with minimum 50% aggregate marks (45% for SC/ST, Category-I), and a valid score in KMAT/PGCET/CMAT/XAT/MAT/ATMA/GMAT. As per AICTE and University norms.
Duration: 4 semesters / 2 years
Credits: 96 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA101C | Management and Organisational Behaviour | Core | 4 | Management theories, Organizational behavior, Motivation and leadership, Communication and decision making, Group dynamics |
| 23MBA102C | Managerial Economics | Core | 4 | Demand and supply analysis, Production and cost analysis, Market structures, Pricing strategies, Macroeconomic environment |
| 23MBA103C | Accounting for Management | Core | 4 | Financial accounting principles, Cost accounting concepts, Management accounting tools, Financial statement analysis, Budgeting and control |
| 23MBA104C | Business Analytics for Management | Core | 4 | Introduction to business analytics, Data collection and preparation, Descriptive analytics techniques, Predictive and prescriptive analytics, Analytics tools and applications |
| 23MBA105C | Marketing Management | Core | 4 | Marketing concepts and environment, Market segmentation and targeting, Product and pricing strategies, Promotion and distribution decisions, Consumer and industrial buying behavior |
| 23MBA106C | Business Research Methods | Core | 4 | Research design and types, Data collection methods, Sampling techniques, Data analysis and interpretation, Report writing and ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA201C | Financial Management | Core | 4 | Financial objectives, Capital budgeting decisions, Working capital management, Capital structure and cost of capital, Dividend policy |
| 23MBA202C | Human Capital Management | Core | 4 | HR planning and recruitment, Training and development, Performance management, Compensation and benefits, Industrial relations and HR ethics |
| 23MBA203C | Operations and Supply Chain Management | Core | 4 | Operations strategy, Process design and layout, Quality management, Inventory management, Supply chain design and logistics |
| 23MBA204C | Entrepreneurship and Start-up Management | Core | 4 | Entrepreneurial process, Business plan development, Funding and legal aspects, Innovation and creativity, Start-up ecosystem in India |
| 23MBA205C | Legal and Business Environment | Core | 4 | Indian Contract Act, Company Law, Consumer Protection Act, Environmental laws, Business ethics and corporate governance |
| 23MBA206C | Quantitative Techniques for Business Decisions | Core | 4 | Probability and distributions, Hypothesis testing, Regression analysis, Time series forecasting, Decision theory and simulation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA304EC-BA1 | Data Warehousing and Data Mining | Elective | 4 | Data warehousing architecture, ETL process, Data cube and OLAP, Data mining concepts, Classification and clustering techniques |
| 23MBA304EC-BA2 | Big Data Analytics | Elective | 4 | Big data concepts and challenges, Hadoop ecosystem, MapReduce framework, NoSQL databases, Apache Spark fundamentals |
| 23MBA304EC-BA3 | Machine Learning for Business | Elective | 4 | Introduction to machine learning, Supervised learning algorithms, Unsupervised learning algorithms, Model evaluation and selection, Deep learning basics |
| 23MBA304EC-BA4 | Financial Analytics | Elective | 4 | Financial data sources, Time series analysis in finance, Risk analytics, Portfolio optimization, Financial forecasting and modeling |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA401EC-BA5 | Marketing Analytics | Elective | 4 | Customer segmentation and targeting, Predictive marketing models, Digital and social media analytics, Campaign optimization, Marketing ROI measurement |
| 23MBA401EC-BA6 | HR Analytics | Elective | 4 | Workforce planning and analytics, Recruitment and retention analytics, Performance analytics, Employee engagement metrics, Turnover prediction |
| 23MBA401EC-BA7 | Retail Analytics | Elective | 4 | Retail data sources and types, Sales forecasting, Inventory optimization, Customer loyalty and churn analysis, Pricing analytics |
| 23MBA401EC-BA8 | Business Intelligence | Elective | 4 | BI architecture and components, Data visualization techniques, Dashboards and reporting tools, OLAP and data cubes, Performance management with BI |
| 23MBA402PC | Industry Internship Program | Project/Internship | 4 | Practical application of skills, Industry exposure, Problem identification and analysis, Report writing, Presentation skills |
| 23MBA403PC | Project Work | Project/Internship | 4 | Research methodology, Data collection and analysis, Problem solving, Solution development, Thesis writing and defense |
