.png&w=1920&q=75)
MBA in Business Analytics at Maharshi Dayanand University, Rohtak
Rohtak, Haryana
.png&w=1920&q=75)
About the Specialization
What is Business Analytics at Maharshi Dayanand University, Rohtak Rohtak?
This Business Analytics program at Maharshi Dayanand University, Rohtak, Haryana, focuses on equipping students with advanced analytical skills to interpret complex data for strategic business decisions. It addresses the growing demand in the Indian market for professionals who can leverage data science techniques to derive actionable insights, making it a critical differentiator for modern business leaders.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into data-driven roles across diverse sectors and working professionals aiming to upskill in cutting-edge analytics. It also caters to career changers transitioning into the thriving analytics industry in India, providing a strong foundation for those with quantitative aptitude and an interest in solving business problems.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths like Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Supply Chain Analyst in Indian companies and MNCs. Entry-level salaries typically range from INR 4-7 LPA, with significant growth trajectories for experienced professionals, often aligning with certifications like those from SAS or IBM.
Student Success Practices
Foundation Stage
Master Foundational Business & Statistical Concepts- (Semester 1-2)
Focus rigorously on core MBA subjects like Business Statistics, Managerial Economics, and Research Methodology. Build a strong quantitative base, which is crucial for advanced analytics. Utilize online resources for statistics practice and engage in peer-led study groups.
Tools & Resources
NPTEL courses on Statistics, Khan Academy, Textbooks, Peer study groups
Career Connection
A solid understanding of these fundamentals is essential for correctly interpreting data and applying analytical models in later stages, directly impacting analytical job interviews.
Develop Proficiency in Spreadsheet & Basic Programming Tools- (Semester 1-2)
Beyond basic computer applications, extensively practice advanced Excel functions (pivot tables, lookup, macros) and begin learning a foundational programming language like Python (with libraries like Pandas, NumPy) or R for data manipulation and visualization.
Tools & Resources
Microsoft Excel, Python (Anaconda distribution), RStudio, Online tutorials (Coursera, DataCamp free courses)
Career Connection
These are entry-level requirements for almost all analytics roles. Early proficiency allows students to tackle more complex projects and secure better internships.
Cultivate Problem-Solving and Case Study Approach- (Semester 1-2)
Actively participate in class discussions and solve business case studies to develop critical thinking and problem-solving skills. Formulate business problems from raw data scenarios and propose data-driven solutions.
Tools & Resources
Harvard Business Review cases, MDU case study competitions, General business newspapers (Economic Times)
Career Connection
Recruiters highly value candidates who can articulate solutions to real-world business challenges, which is a direct outcome of strong case study practice.
Intermediate Stage
Deep Dive into Specialization Specific Tools & Techniques- (Semester 3)
As soon as Business Analytics electives begin, intensely focus on tools like SQL for database management, and advanced Python/R for data mining, machine learning, and big data concepts. Actively work on mini-projects using real datasets.
Tools & Resources
SQL (MySQL, PostgreSQL), Python (scikit-learn, TensorFlow/Keras), R (caret, tidyverse), Kaggle datasets, GitHub for project showcases
Career Connection
Hands-on expertise with these tools is non-negotiable for Business Analytics roles. Projects demonstrate practical application and problem-solving abilities to potential employers.
Seek Applied Internships and Industry Exposure- (Semester 3 (Summer Placement))
Actively search for and complete a meaningful internship during the summer placement (MBA-309) focusing on data analysis or business intelligence roles. Network with industry professionals through webinars and university events.
Tools & Resources
LinkedIn, MDU Placement Cell, Industry seminars, Alumni network
Career Connection
Internships provide invaluable real-world experience, practical skill application, and often lead to pre-placement offers, significantly boosting job prospects.
Participate in Data Science Competitions and Hackathons- (Semester 3-4)
Engage in online data science competitions (e.g., Kaggle, Analytics Vidhya) and university hackathons. This helps in building a portfolio, testing skills against real problems, and learning from diverse approaches.
Tools & Resources
Kaggle, Analytics Vidhya, University tech clubs, Online coding platforms
Career Connection
Participation in such events showcases initiative, practical skills, and resilience, making candidates stand out to recruiters, especially for cutting-edge roles.
Advanced Stage
Develop Advanced Data Visualization and Storytelling Skills- (Semester 4)
Master tools like Tableau or Power BI (as covered in MBA-BA-405) to create compelling, interactive dashboards and reports. Practice communicating complex analytical findings clearly and concisely to non-technical stakeholders.
Tools & Resources
Tableau Desktop Public Edition, Microsoft Power BI Desktop, Data visualization best practices blogs, Presentation tools
Career Connection
The ability to translate data into actionable insights and present them effectively is a top skill sought by employers, leading to roles in Business Intelligence and Data Storytelling.
Undertake a Comprehensive Dissertation/Project in Analytics- (Semester 4)
Choose a challenging research problem for the MBA-409 Dissertation/Project focusing on a business analytics application. This capstone project should integrate all learned skills, from data collection to advanced modeling and insightful recommendations.
Tools & Resources
Academic journals, Research papers, Industry reports, Statistical software (SPSS, R, Python)
Career Connection
A well-executed dissertation serves as a substantial portfolio piece, demonstrating independent research, analytical depth, and problem-solving capabilities, crucial for specialized roles.
Focus on Targeted Placement Preparation and Mock Interviews- (Semester 4)
Prepare specifically for analytics-focused interviews, including technical questions on SQL, Python/R, statistics, and machine learning, alongside behavioral and case study questions. Attend mock interviews and feedback sessions.
Tools & Resources
GeeksforGeeks, LeetCode (for SQL/Python), Interview preparation guides, MDU Placement Cell, Alumni mentors
Career Connection
Tailored preparation maximizes chances of securing desired roles in top analytics companies by ensuring both technical proficiency and soft skills are refined.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with 50% marks (47.5% for SC/ST/Blind/Visually and Differently Abled candidates of Haryana only) or Master''''s Degree in any discipline with 50% marks (47.5% for SC/ST/Blind/Visually and Differently Abled candidates of Haryana only) or Final Examination of ICAI/ICSI/ICWAI.
Duration: 2 years (4 semesters)
Credits: 104 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-101 | Management Process & Organizational Behaviour | Core | 4 | Introduction to Management, Planning & Decision Making, Organizing & Staffing, Controlling, Organizational Behaviour Concepts, Leadership & Power |
| MBA-102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis & Forecasting, Production & Cost Analysis, Market Structures, Pricing Strategies, Capital Budgeting |
| MBA-103 | Accounting for Managers | Core | 4 | Introduction to Accounting, Accounting Cycle, Financial Statements, Cost Accounting, Budgetary Control, Financial Statement Analysis |
| MBA-104 | Business Environment | Core | 4 | Nature & Components of Business Environment, Economic Environment, Political & Legal Environment, Socio-Cultural Environment, Technological Environment, International Business Environment |
| MBA-105 | Business Statistics | Core | 4 | Introduction to Statistics, Measures of Central Tendency & Dispersion, Probability Theory, Probability Distributions, Sampling & Hypothesis Testing, Correlation & Regression |
| MBA-106 | Computer Applications in Management | Core | 4 | Information Technology Fundamentals, Data Processing & Databases, Networking & Internet, MS Office Applications, E-commerce, Introduction to MIS |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201 | Organizational Effectiveness & Change | Core | 4 | Organizational Design, Culture & Climate, Organizational Development, Change Management, Learning Organizations, Ethics in OB |
| MBA-202 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Capital Structure, Working Capital Management, Dividend Policy |
| MBA-203 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Environment, Consumer Behaviour, Market Segmentation, Product, Price, Promotion, Distribution Decisions |
| MBA-204 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment & Selection, Training & Development, Performance Appraisal, Compensation Management |
| MBA-205 | Operations Management | Core | 4 | Introduction to Operations Management, Facilities Location & Layout, Production Planning & Control, Inventory Management, Quality Management, Project Management |
| MBA-206 | Research Methodology | Core | 4 | Introduction to Research, Research Design, Sampling Design, Data Collection Methods, Data Analysis, Report Writing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301 | Business Ethics & Corporate Social Responsibility | Core | 4 | Ethics in Business, Ethical Theories, Corporate Governance, CSR Models, Environmental Ethics, Sustainability |
| MBA-302 | Business Law | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act, Intellectual Property Rights |
| MBA-303 | Operations Research | Core | 4 | Introduction to OR, Linear Programming, Transportation Problem, Assignment Problem, Network Analysis (PERT/CPM), Decision Theory |
| MBA-BA-301 | Foundations of Business Analytics | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Data Management, Data Visualization, Data Mining Concepts, Descriptive & Predictive Analytics |
| MBA-BA-302 | Data Mining for Business Decisions | Elective (Business Analytics) | 4 | Data Mining Process, Classification Techniques, Clustering Algorithms, Association Rule Mining, Text Mining, Web Mining |
| MBA-BA-303 | Big Data Analytics | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce, HDFS, NoSQL Databases, Spark Analytics |
| MBA-BA-304 | Prescriptive Analytics & Optimization | Elective (Business Analytics) | 4 | Introduction to Prescriptive Analytics, Optimization Models, Linear Programming, Integer Programming, Simulation, Decision Trees |
| MBA-BA-305 | Business Forecasting | Elective (Business Analytics) | 4 | Introduction to Forecasting, Time Series Analysis, Regression Analysis for Forecasting, Qualitative Forecasting Methods, Forecasting Error Measurement, Practical Applications |
| MBA-309 | Summer Placement | Compulsory Project | 2 | Industrial Training, Project Report Preparation, Viva-Voce Examination |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-401 | Strategic Management | Core | 4 | Introduction to Strategic Management, Environmental Analysis, Strategic Formulation, Strategic Implementation, Strategic Evaluation & Control, Corporate Level Strategies |
| MBA-402 | International Business Management | Core | 4 | Introduction to International Business, International Trade Theories, Balance of Payments, Foreign Exchange Market, Global Strategic Alliances, Export-Import Procedures |
| MBA-403 | Management Information System | Core | 4 | Introduction to MIS, Information Systems Development, Database Management Systems, Decision Support Systems, Enterprise Resource Planning (ERP), E-Commerce & E-Governance |
| MBA-BA-401 | Marketing Analytics | Elective (Business Analytics) | 4 | Introduction to Marketing Analytics, CRM Analytics, Web Analytics, Social Media Analytics, Campaign Optimization, Marketing Mix Modeling |
| MBA-BA-402 | Financial Analytics | Elective (Business Analytics) | 4 | Introduction to Financial Analytics, Risk Analytics, Portfolio Optimization, Credit Scoring, Fraud Detection, Algorithmic Trading |
| MBA-BA-403 | HR Analytics | Elective (Business Analytics) | 4 | Introduction to HR Analytics, Workforce Planning, Recruitment Analytics, Performance Analytics, Retention Analytics, Compensation Analytics |
| MBA-BA-404 | Supply Chain Analytics | Elective (Business Analytics) | 4 | Introduction to Supply Chain Analytics, Demand Forecasting in SCM, Inventory Optimization, Logistics & Transportation Analytics, Supplier Performance Analytics, Risk Management in SCM |
| MBA-BA-405 | Data Visualization with Tableau/Power BI | Elective (Business Analytics) | 4 | Introduction to Data Visualization, Principles of Visual Design, Data Storytelling, Tableau Fundamentals, Power BI Fundamentals, Interactive Dashboards |
| MBA-409 | Dissertation/Project Report | Compulsory Project | 6 | Research Problem Identification, Literature Review, Data Collection & Analysis, Report Writing, Presentation, Viva-Voce |
