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MBA in Business Analytics at Shanmugha Arts Science Technology & Research Academy (SASTRA)
Thanjavur, Tamil Nadu
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About the Specialization
What is Business Analytics at Shanmugha Arts Science Technology & Research Academy (SASTRA) Thanjavur?
This MBA Business Analytics program at Shanmugha Arts, Science, Technology & Research Academy (SASTRA Deemed University) is meticulously designed to cultivate a new generation of management professionals adept at leveraging data for strategic advantage. It focuses on equipping students with a robust blend of advanced analytical skills, business acumen, and an ethical understanding of data usage. In the dynamically evolving Indian economy, where data-driven insights are crucial for competitive edge and sustainable growth, this specialization bridges the gap between traditional management theory and cutting-edge analytical methodologies. The program''''s interdisciplinary approach ensures graduates are not only proficient in data science tools and techniques but also deeply understand their application across various business functions, addressing the significant demand for such integrated skill sets in the Indian market.
Who Should Apply?
This program is ideally suited for ambitious fresh graduates from diverse academic backgrounds, including engineering, commerce, mathematics, and statistics, who possess a strong quantitative aptitude and a keen interest in data-driven problem-solving. It also serves as an excellent pathway for early to mid-career working professionals, such as junior managers, IT specialists, or marketing analysts, who are looking to upskill, transition into more analytical roles, or lead data initiatives within their organizations. Furthermore, career changers with a foundational understanding of business operations and a strong desire to enter the booming analytics industry in India will find the comprehensive curriculum both challenging and rewarding, preparing them for pivotal roles in a data-centric environment.
Why Choose This Course?
Graduates of this program are well-prepared to embark on high-growth career paths as Business Analysts, Data Scientists, Marketing Analysts, Financial Analysts, Supply Chain Analysts, or Consultants across a multitude of industries in India and globally. Entry-level salaries for freshers typically range from INR 6-10 LPA in Indian companies and startups, with experienced professionals and those in leadership roles commanding significantly higher packages, often upwards of INR 15-25 LPA or more, depending on expertise and sector. The curriculum is thoughtfully designed to align with essential industry-recognized certifications in data science tools and platforms, significantly enhancing employability and accelerating career growth trajectories in analytics leadership roles across sectors like e-commerce, banking, healthcare, manufacturing, and retail within the Indian subcontinent.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and Programming Base- (Semester 1-2)
Dedicate significant time to mastering quantitative methods (statistics, operations research) and fundamental programming languages like Python or R, which are crucial for subsequent analytics courses. Practice problem-solving daily to solidify concepts learned in modules like Quantitative Methods for Business and Business Analytics Tools Lab I.
Tools & Resources
DataCamp, Coursera, Khan Academy, GeeksforGeeks, Jupyter Notebooks
Career Connection
A solid foundation is non-negotiable for any analytics role in the Indian market, enabling students to handle complex data and build models effectively during internships and future placements.
Engage Actively in Lab Sessions & Case Studies- (Semester 1-2)
Maximize learning from ''''Business Analytics Tools Lab'''' sessions. Don''''t just complete assignments; explore alternative approaches, participate in discussions, and analyze real-world case studies to understand how theoretical concepts apply in diverse Indian business scenarios and to develop practical problem-solving skills.
Tools & Resources
Lab manuals, University provided software (e.g., MS Excel, statistical packages), Harvard Business Review cases on analytics, Peer study groups
Career Connection
Develops practical skills in data manipulation and tool usage, making students highly job-ready for analytical tasks during internships and full-time roles in India''''s data-driven companies.
Cultivate Effective Business Communication- (Semester 1-2)
Participate actively in group discussions, presentations, and report writing assignments from courses like Business Communication. Seek feedback from professors and peers, understanding that conveying complex analytical insights clearly and concisely is as important as generating them for Indian corporate stakeholders.
Tools & Resources
Toastmasters International (if available), University writing center, Public speaking practice groups, Presentation software
Career Connection
Strong communication is vital for presenting findings to non-technical business leaders and clients in Indian organizations, enhancing leadership potential and ensuring project success.
Intermediate Stage
Deep Dive into Data Mining & Machine Learning- (Semester 3)
Go beyond classroom lectures by implementing data mining and machine learning algorithms using real datasets from courses like Data Mining for Business Decisions and Machine Learning for Business. Explore various libraries (Scikit-learn, Pandas, TensorFlow) in Python/R to gain hands-on proficiency and understand their business applications.
Tools & Resources
Kaggle datasets, GitHub for open-source projects, Jupyter notebooks, Google Colab, Specialized ML books
Career Connection
These core skills are essential for Data Scientist and ML Engineer roles in India''''s booming tech and product companies, significantly boosting employability and opening doors to advanced analytics careers.
Build a Portfolio of Business Analytics Projects- (Semester 3)
Start working on individual or group projects that solve real business problems, potentially leveraging publicly available datasets or collaborating with startups for mini-projects. Document your approach, findings, and measurable impact clearly to showcase your analytical capabilities.
Tools & Resources
Tableau Public, Power BI, GitHub for hosting code, LinkedIn for showcasing projects, Project management tools
Career Connection
A strong project portfolio is crucial for demonstrating practical skills to Indian recruiters, differentiating candidates during competitive placement interviews and highlighting problem-solving abilities.
Actively Network with Industry Professionals- (Semester 3)
Attend industry seminars, workshops, and guest lectures organized by the university or external bodies. Connect with speakers, alumni working in analytics, and professionals on platforms like LinkedIn to gain insights into industry trends and identify potential internship or job opportunities in the Indian analytics ecosystem.
Tools & Resources
LinkedIn, University alumni network, Industry events (virtual or local in Thanjavur/Chennai), Professional associations
Career Connection
Networking opens doors to mentorship, internships, and full-time job opportunities, especially in the competitive and relationship-driven Indian job market, enhancing visibility and access.
Advanced Stage
Specialize through Electives & Advanced Tooling- (Semester 4)
Strategically choose electives that align with your career aspirations (e.g., Financial Analytics, Marketing Analytics). Deepen your knowledge in these specific domains and master industry-standard tools relevant to your chosen specialization, perhaps pursuing relevant certifications.
Tools & Resources
Industry-specific platforms (e.g., Bloomberg Terminal for finance, Google Analytics for marketing), Advanced certifications (e.g., AWS, Microsoft Azure, Google Cloud data analytics certifications)
Career Connection
Specialization makes you a more targeted and valuable candidate for specific, high-demand roles in sectors booming in India, such as Fintech, E-commerce, or Healthcare analytics.
Focus on Comprehensive Project Work & Internship II- (Semester 4)
Treat your final ''''Project Work & Viva Voce'''' as a capstone experience, aiming for a real-world problem with measurable business impact. During Internship II, proactively seek challenging tasks and contribute meaningfully to the organization, striving to convert it into a potential pre-placement offer.
Tools & Resources
Advanced analytical tools, Project management software, Mentor guidance from faculty and industry, Company-specific data access
Career Connection
A well-executed final project and strong performance in Internship II are critical for demonstrating readiness for full-time roles and securing desirable placements in top Indian and multinational companies.
Master Placement Preparation & Mock Interviews- (Semester 4)
Actively participate in campus placement drives, prepare tailored resumes and cover letters emphasizing analytical skills and project experience, and engage in numerous mock interviews. Focus on both technical data analytics questions and behavioral aspects relevant to Indian corporate culture and specific company values.
Tools & Resources
University placement cell, Online interview preparation platforms (e.g., LeetCode, HackerRank, Glassdoor), Peer practice sessions, Resume builders
Career Connection
Thorough preparation is paramount to successfully navigating the competitive campus placement process and securing coveted job offers in analytics roles across diverse industries in India.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with a minimum of 50% aggregate marks, along with a valid score in CAT/XAT/MAT/CMAT/NMAT/ATMA/CET or SASTRA''''s Business School Aptitude Test.
Duration: 2 years (4 semesters)
Credits: 90 Credits
Assessment: Internal: 40% (for Theory), 50% (for Practical/Project), External: 60% (for Theory), 50% (for Practical/Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 200MGT101 | Management Principles & Practices | Core | 3 | Evolution of Management Thought, Planning and Decision Making, Organizing and Staffing, Leading and Controlling, Managerial Ethics and Social Responsibility |
| 200MGT102 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Theory, Market Structures and Pricing Strategies, Macroeconomic Indicators, Business Cycles and Policies |
| 200MGT103 | Accounting for Management | Core | 3 | Financial Accounting Principles, Cost Accounting Concepts, Budgeting and Variance Analysis, Financial Statement Analysis, Capital Budgeting Decisions |
| 200MGT104 | Quantitative Methods for Business | Core | 3 | Descriptive Statistics, Probability Distributions, Hypothesis Testing, Regression Analysis, Operations Research Techniques |
| 200MGT105 | Organisational Behavior & Human Resource Management | Core | 3 | Individual Behavior and Personality, Group Dynamics and Teamwork, Organizational Culture and Climate, Human Resource Planning, Recruitment, Selection and Performance Management |
| 200MGT106 | Marketing Management | Core | 3 | Marketing Concepts and Environment, Consumer Behavior and Market Segmentation, Product Life Cycle and Branding, Pricing Strategies, Promotion and Distribution Channels |
| 200MGT107 | Business Communication | Core | 2 | Principles of Effective Communication, Oral Communication Skills, Written Business Communication, Presentation Skills, Cross-Cultural Communication |
| 200MGT108 | Business Analytics Tools Lab – I | Core | 1 | Introduction to Spreadsheet Modeling, Data Import and Cleaning, Basic Data Visualization, Descriptive Statistics in Tools, Introduction to Statistical Software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 200MGT201 | Financial Management | Core | 3 | Time Value of Money, Capital Budgeting Techniques, Working Capital Management, Cost of Capital and Capital Structure, Dividend Policy Decisions |
| 200MGT202 | Operations Management | Core | 3 | Production Planning and Control, Inventory Management, Supply Chain Management, Quality Management and TQM, Lean Operations and Six Sigma |
| 200MGT203 | Research Methods for Management | Core | 3 | Research Design and Problem Formulation, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Ethics in Research |
| 200MGT204 | Big Data Technologies | Core | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Data Warehousing and Data Lakes, Cloud Computing for Big Data |
| 200MGT205 | Database Management for Business Analytics | Core | 3 | Relational Database Concepts, SQL Querying and Data Manipulation, Database Design and ER Modeling, Data Integrity and Normalization, Database Security and Administration |
| 200MGT206 | Prescriptive Analytics | Core | 3 | Optimization Techniques, Linear Programming, Simulation Modeling, Decision Analysis, Forecasting Models |
| 200MGT207 | Business Analytics Tools Lab – II | Core | 1 | Advanced SQL Practice, Statistical Analysis with R/Python, Data Cleaning and Preprocessing, Introduction to Business Intelligence Tools, Data Connectors and Dashboards |
| 200MGT208 | Internship – I | Core | 1 | Industry Exposure, Practical Application of Business Concepts, Project Report Writing, Professional Etiquette, Presentation of Findings |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 200MGT301 | Strategic Management | Core | 3 | Strategic Analysis and Formulation, Environmental Scanning, Competitive Advantage, Strategy Implementation, Strategic Control and Evaluation |
| 200MGT302 | Data Mining for Business Decisions | Core | 3 | Data Mining Process and Techniques, Classification Algorithms, Clustering Techniques, Association Rule Mining, Predictive Modeling |
| 200MGT303 | Machine Learning for Business | Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Deep Learning Fundamentals, Deployment of ML Models |
| 200MGT304 | Data Visualization and Storytelling | Core | 3 | Principles of Data Visualization, Designing Effective Dashboards, Tools (Tableau, Power BI), Data Storytelling Techniques, Interactive Visualizations |
| 200MGT305 | Econometrics for Business Analytics | Core | 3 | Linear Regression Models, Time Series Analysis, Panel Data Econometrics, Causality and Endogeneity, Econometric Forecasting |
| 200MGT306 | Business Analytics Tools Lab – III | Core | 1 | Data Mining Software Practice, Machine Learning Algorithm Implementation, Advanced Data Visualization Projects, Statistical Software Application, Cloud-based Analytics Platforms |
| Elective – I | Elective – I (Choose any one from the pool below) | Elective | 3 | Retail Analytics / HR Analytics, Financial Analytics / Marketing Analytics, Supply Chain Analytics / Business Process Analytics, Healthcare Analytics / Sports Analytics, Web & Social Media Analytics / Geo-Spatial Analytics / Block Chain & Crypto Currency Analytics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 200MGT401 | Elective – II (Choose any one from the pool given for Semesters III & IV) | Elective | 3 | Retail Analytics / HR Analytics, Financial Analytics / Marketing Analytics, Supply Chain Analytics / Business Process Analytics, Healthcare Analytics / Sports Analytics, Web & Social Media Analytics / Geo-Spatial Analytics / Block Chain & Crypto Currency Analytics |
| 200MGT402 | Elective – III (Choose any one from the pool given for Semesters III & IV) | Elective | 3 | Retail Analytics / HR Analytics, Financial Analytics / Marketing Analytics, Supply Chain Analytics / Business Process Analytics, Healthcare Analytics / Sports Analytics, Web & Social Media Analytics / Geo-Spatial Analytics / Block Chain & Crypto Currency Analytics |
| 200MGT403 | Elective – IV (Choose any one from the pool given for Semesters III & IV) | Elective | 3 | Retail Analytics / HR Analytics, Financial Analytics / Marketing Analytics, Supply Chain Analytics / Business Process Analytics, Healthcare Analytics / Sports Analytics, Web & Social Media Analytics / Geo-Spatial Analytics / Block Chain & Crypto Currency Analytics |
| 200MGT404 | Project Work & Viva Voce | Project | 8 | Problem Identification and Scoping, Data Collection and Analysis, Solution Design and Implementation, Report Writing and Documentation, Oral Presentation and Defense |
| 200MGT405 | Internship – II | Core | 1 | Advanced Industry Exposure, Application of Specialization Skills, Corporate Project Management, Networking and Professional Development, Final Internship Report |
