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MBA in Business Analytics at Datta Meghe Institute of Medical Sciences (Deemed to be University)
Wardha, Maharashtra
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About the Specialization
What is Business Analytics at Datta Meghe Institute of Medical Sciences (Deemed to be University) Wardha?
This Business Analytics program at Datta Meghe Institute of Higher Education and Research focuses on equipping students with advanced analytical skills to interpret complex business data. It addresses the growing demand in the Indian industry for professionals capable of driving data-informed decision-making. The program differentiates itself by blending core management principles with cutting-edge analytics tools and techniques.
Who Should Apply?
This program is ideal for fresh graduates from commerce, science, or engineering backgrounds seeking entry into the high-growth field of data analytics. It also suits working professionals looking to upskill in analytics or career changers aiming to transition into data-driven roles across diverse Indian industries. A foundational understanding of mathematics and statistics is beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths such as Business Analyst, Data Scientist, Analytics Consultant, or Market Research Analyst in India. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program prepares students for industry-recognized certifications in analytics tools, boosting their growth trajectories in Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Core Analytical Tools & Software- (Semester 1-2)
Dedicate time to thoroughly learn foundational analytical tools like MS Excel, basic SQL, and introductory statistical software (e.g., R or Python basics for data handling). Attend workshops, complete online tutorials, and practice regularly with sample datasets to build a strong base.
Tools & Resources
MS Excel (Advanced features), SQL (W3Schools, HackerRank), Python (DataCamp, Coursera), R (R-Studio, Swirl), College workshops
Career Connection
Proficiency in these tools is non-negotiable for entry-level analytics roles, demonstrating practical skill and speeding up initial job performance. It''''s often assessed in technical rounds during placements.
Develop Strong Statistical & Mathematical Foundations- (Semester 1-2)
Beyond classroom learning, actively reinforce concepts from Business Statistics and Managerial Economics. Solve extra problems, participate in study groups, and use online resources to solidify understanding of probability, hypothesis testing, and regression analysis. Focus on the ''''why'''' behind the methods.
Tools & Resources
Khan Academy (Statistics), NPTEL courses, Textbooks (e.g., Business Statistics by Levin & Rubin), Peer study groups
Career Connection
A strong theoretical foundation is crucial for understanding complex algorithms in later semesters and for critical problem-solving in data science roles, giving an edge in competitive analytical positions.
Cultivate Effective Business Communication- (Semester 1-2)
Actively participate in presentations, debates, and group discussions to hone both oral and written communication skills. Practice articulating technical concepts in simple business language. Read business journals and case studies to understand industry lexicon and improve comprehension.
Tools & Resources
Toastmasters International (if available), college''''s communication labs, Harvard Business Review articles, Mock presentation sessions
Career Connection
Effective communication is vital for presenting analytical insights to non-technical stakeholders, securing internships, and excelling in client-facing or management consulting roles post-MBA.
Intermediate Stage
Engage in Applied Projects and Case Studies- (Semester 3-4)
Seek opportunities to apply theoretical knowledge by working on mini-projects, participating in case competitions (e.g., those by top Indian companies or B-schools), or undertaking faculty-guided research. Focus on solving real-world business problems using analytics techniques learned.
Tools & Resources
Kaggle competitions, LinkedIn Learning (case study analysis), College''''s incubation center, Faculty research projects
Career Connection
Practical project experience is highly valued by recruiters as it demonstrates problem-solving ability, technical application, and teamwork, significantly boosting internship and placement prospects.
Build a Portfolio of Analytical Work- (Semester 3-4)
Create a repository of your projects, code (e.g., Python/R scripts), and visualizations on platforms like GitHub or a personal website. Include detailed explanations of problem statements, methodologies, and key findings. Ensure proper documentation and clear presentation of results.
Tools & Resources
GitHub, Tableau Public, Power BI Desktop, WordPress/Wix for personal portfolio website
Career Connection
A well-curated portfolio serves as a tangible demonstration of your skills and initiative, often being a deciding factor for hiring managers in analytics roles, especially in Indian tech and consulting firms.
Network with Industry Professionals and Alumni- (Semester 3-4)
Actively connect with professionals in the analytics domain through LinkedIn, college alumni networks, and industry events/webinars. Seek informational interviews to understand industry trends, job roles, and required skills. This can lead to mentorship and internship opportunities.
Tools & Resources
LinkedIn, Alumni Association events, Industry conferences (e.g., NASSCOM, TiE events), Virtual networking platforms
Career Connection
Networking opens doors to hidden job markets, provides valuable career guidance, and helps secure referrals, which are often critical for securing desirable positions in competitive Indian job markets.
Advanced Stage
Undertake a Comprehensive Dissertation/Capstone Project- (Semester 4)
Choose a challenging, industry-relevant topic for your dissertation project that allows you to apply multiple analytical techniques. Work closely with faculty mentors and, if possible, collaborate with an industry partner. Aim to deliver actionable insights and demonstrable business value.
Tools & Resources
Advanced R/Python libraries (e.g., scikit-learn, TensorFlow, PyTorch), Cloud platforms (AWS, Azure, GCP), Industry datasets (if available)
Career Connection
A robust capstone project showcases your ability to independently tackle complex problems, a key requirement for senior analyst or data scientist roles, and provides an excellent talking point during placement interviews.
Prepare Rigorously for Placements & Interviews- (Semester 4)
Beyond technical skills, focus on developing strong problem-solving, critical thinking, and behavioral interview skills. Practice aptitude tests, mock interviews (both technical and HR), and group discussions. Stay updated on current affairs and specific company knowledge for potential employers.
Tools & Resources
Placement cell workshops, Online aptitude platforms (e.g., IndiaBix), Mock interview sessions with career counselors/alumni, Glassdoor for company-specific interview questions
Career Connection
Thorough preparation ensures you perform confidently in all stages of the recruitment process, increasing your chances of securing placements with top-tier companies in the Indian business analytics landscape.
Specialize and Acquire Advanced Certifications- (Semester 4 and post-graduation)
Based on career interests, delve deeper into a specific niche within business analytics (e.g., AI/ML, Cloud Analytics, Financial Analytics). Pursue advanced certifications from reputable platforms or vendors to validate specialized skills and demonstrate continuous learning.
Tools & Resources
Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate, SAS/Tableau certifications
Career Connection
Specialized certifications make you highly competitive for niche roles, demonstrate commitment to continuous professional development, and often lead to higher starting salaries and faster career progression in India''''s dynamic analytics market.
Program Structure and Curriculum
Eligibility:
- A candidate should have a Bachelor’s Degree with 50% marks in aggregate (45% for reserved category) or an equivalent qualification recognized by the University, UGC or equivalent bodies.
Duration: 2 years (4 semesters)
Credits: 115 Credits
Assessment: Internal: 40% (for theory subjects), External: 60% (for theory subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101 | Management Concepts and Processes | Core | 4 | Introduction to Management, Planning and Decision Making, Organizing and Staffing, Directing, Leading and Controlling, Social Responsibility and Ethics |
| MBA102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Decisions, Macroeconomic Environment and Business Cycles |
| MBA103 | Accounting for Management | Core | 4 | Introduction to Accounting, Financial Statements, Analysis of Financial Statements, Cost Accounting, Budgetary Control and Standard Costing |
| MBA104 | Business Statistics | Core | 4 | Introduction to Statistics and Data, Measures of Central Tendency and Dispersion, Probability and Probability Distributions, Sampling and Hypothesis Testing, Correlation and Regression Analysis |
| MBA105 | Organizational Behavior | Core | 4 | Introduction to Organizational Behavior, Individual Behavior, Group Behavior, Organizational Structure and Culture, Organizational Change and Development |
| MBA106 | Business Communication | Core | 4 | Fundamentals of Communication, Oral Communication, Written Communication, Effective Presentation Strategies, Cross-Cultural Communication |
| MBA107 | Computer Applications in Management (Practical) | Practical | 2 | MS Word for Business, MS Excel for Data Analysis, MS PowerPoint for Presentations, Internet and Web Applications, Database Management Basics |
| MBA108 | Seminar | Practical/Project | 1 | Seminar Topic Selection, Literature Review, Presentation Skills, Report Writing, Oral Defense |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Recruitment, Training and Development, Performance Management and Compensation, Industrial Relations and HR Challenges |
| MBA202 | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product and Pricing Decisions, Place and Promotion Decisions, Services Marketing and Digital Marketing |
| MBA203 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money and Capital Budgeting, Cost of Capital and Capital Structure, Working Capital Management, Dividend Policy and Corporate Finance |
| MBA204 | Operations Management | Core | 4 | Introduction to Operations Management, Process Design and Layout, Capacity and Production Planning, Inventory Management, Quality Management and Supply Chain |
| MBA205 | Research Methodology | Core | 4 | Introduction to Business Research, Research Design and Data Collection, Sampling Design and Data Preparation, Data Analysis and Hypothesis Testing, Report Writing and Ethics |
| MBA206 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act |
| MBA207 | Business Analytics | Core | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization Tools |
| MBA208 | Project Viva Voce | Practical/Project | 1 | Project Selection, Methodology, Data Collection, Analysis and Findings, Presentation and Defense |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301 | Strategic Management | Core | 4 | Introduction to Strategic Management, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control and Evaluation |
| MBA302 | Entrepreneurship Development | Core | 4 | Concept of Entrepreneurship, Entrepreneurial Environment, Business Idea Generation and Opportunity Evaluation, Business Plan Formulation, Sources of Finance and Institutional Support |
| MBA3BA01 | Data Mining and Warehousing | Elective - Business Analytics | 4 | Introduction to Data Mining, Data Preprocessing, Data Warehousing Concepts, Association Rule Mining, Classification and Prediction |
| MBA3BA02 | Big Data Analytics | Elective - Business Analytics | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Framework, Big Data Technologies, NoSQL Databases |
| MBA3BA03 | Business Forecasting | Elective - Business Analytics | 4 | Introduction to Forecasting, Time Series Analysis, Regression Analysis for Forecasting, Qualitative Forecasting Methods, Forecasting Model Evaluation |
| MBA3BA04 | Optimization Techniques for Business Analytics | Elective - Business Analytics | 4 | Introduction to Operations Research, Linear Programming, Transportation and Assignment Problems, Network Analysis, Game Theory and Simulation |
| MBA3BA05 | Web and Social Media Analytics | Elective - Business Analytics | 4 | Introduction to Web Analytics, Web Metrics and KPIs, Social Media Data Collection, Social Network Analysis, Tools for Web and Social Media Analytics |
| MBA3BA06 | Data Visualization for Business | Elective - Business Analytics | 4 | Introduction to Data Visualization, Principles of Effective Visualization, Types of Charts and Graphs, Dashboard Design, Data Storytelling |
| MBA303 | Summer Internship Project (Part I) | Project | 3 | Industry Exposure, Project Identification, Problem Definition, Literature Review, Preliminary Data Collection |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA401 | International Business Management | Core | 4 | Introduction to International Business, Theories of International Trade, Global Financial Environment, International Marketing Strategies, Global Human Resource Management |
| MBA402 | Total Quality Management | Core | 4 | Introduction to TQM, Quality Gurus and Philosophies, Statistical Process Control, Quality Management Tools, Quality Standards and Certifications |
| MBA4BA01 | Machine Learning for Business Analytics | Elective - Business Analytics | 4 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation and Selection, Applications in Business |
| MBA4BA02 | Artificial Intelligence in Business | Elective - Business Analytics | 4 | Introduction to AI, Knowledge Representation, Expert Systems, Natural Language Processing, AI Applications and Ethics in Business |
| MBA4BA03 | Predictive Modeling | Elective - Business Analytics | 4 | Introduction to Predictive Modeling, Linear and Logistic Regression, Decision Trees and Random Forests, Time Series Forecasting Models, Model Deployment and Monitoring |
| MBA4BA04 | Text Mining for Business Analytics | Elective - Business Analytics | 4 | Introduction to Text Mining, Text Preprocessing, Sentiment Analysis, Topic Modeling, Text Summarization and Visualization |
| MBA4BA05 | Cloud Computing for Business Analytics | Elective - Business Analytics | 4 | Introduction to Cloud Computing, Cloud Deployment Models, Cloud Service Models (IaaS, PaaS, SaaS), Big Data on Cloud, Cloud Security and Analytics Platforms |
| MBA4BA06 | Ethical Hacking and Data Security in Analytics | Elective - Business Analytics | 4 | Introduction to Cybersecurity, Vulnerability Assessment, Network Security, Data Privacy and Regulations, Ethical Hacking Methodologies |
| MBA403 | Dissertation Project | Project | 8 | Research Problem Formulation, Methodology Design, Data Analysis and Interpretation, Findings and Recommendations, Report Writing and Viva Voce |
