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MBA in Business Analytics at Malaviya National Institute of Technology Jaipur
Jaipur, Rajasthan
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About the Specialization
What is Business Analytics at Malaviya National Institute of Technology Jaipur Jaipur?
This Business Analytics program at Malaviya National Institute of Technology Jaipur focuses on equipping future managers with the skills to leverage data for strategic decision-making. It integrates management principles with advanced analytical tools and techniques, highly relevant in India''''s rapidly digitizing economy where data-driven insights are crucial for competitive advantage. The program emphasizes practical application and problem-solving, preparing students for the evolving demands of the Indian job market.
Who Should Apply?
This program is ideal for engineering, science, commerce, or management graduates with strong quantitative aptitude seeking entry into data-centric roles. It also suits working professionals who wish to upskill or transition into analytics, aiming to enhance their decision-making capabilities. Aspiring data scientists, business analysts, and consultants who want a blend of technical depth and business acumen will find this specialization particularly rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths as Business Analysts, Data Scientists, Management Consultants, and Market Research Analysts in India. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with industry demand for analytical talent, fostering growth trajectories in IT, finance, e-commerce, and manufacturing sectors within leading Indian and multinational corporations.
Student Success Practices
Foundation Stage
Strengthen Quantitative and Statistical Foundations- (Semester 1-2)
Dedicate time to revisit and solidify concepts in statistics, probability, and linear algebra. Utilize online courses from NPTEL or platforms like Khan Academy to build a strong base, which is crucial for advanced analytics topics. Form study groups to solve problems collaboratively and understand various quantitative methods applications.
Tools & Resources
NPTEL courses on Statistics, Khan Academy Math, Standard textbooks for Quantitative Methods
Career Connection
A robust quantitative foundation is essential for excelling in core business analytics subjects and forms the bedrock for advanced predictive and prescriptive modeling, directly impacting job readiness for analytical roles.
Master Spreadsheets and Database Fundamentals- (Semester 1-2)
Become highly proficient in Microsoft Excel for data manipulation, analysis, and visualization. Simultaneously, learn basic SQL for database querying and management. Practice with real-world datasets and case studies to understand data organization and retrieval. Participate in online Excel or SQL challenges.
Tools & Resources
Microsoft Excel, SQL practice platforms (e.g., LeetCode SQL, SQLZoo), DataCamp courses
Career Connection
These are foundational tools for any business analyst in India. Proficiency ensures efficiency in handling business data and is a common requirement in entry-level analytics positions across industries.
Develop Strong Communication and Presentation Skills- (undefined)
Actively participate in group discussions, presentations, and case competitions. Focus on articulating complex analytical insights clearly and concisely, both verbally and through reports. Seek feedback on communication style and content. Join Toastmasters or debate clubs if available.
Tools & Resources
Toastmasters International, Presentation software (PowerPoint, Google Slides), MNIT Communication Labs
Career Connection
In Indian corporate settings, presenting data-driven recommendations effectively to non-technical stakeholders is as vital as the analysis itself. Strong communication skills directly enhance visibility and career progression.
Intermediate Stage
Engage in Practical Analytics Projects and Internships- (Semester 3)
Seek out summer internships in analytics roles at startups, consulting firms, or established companies. If internships are unavailable, work on independent projects using publicly available datasets (e.g., Kaggle) to apply concepts from data mining, predictive modeling, and BI tools. Aim for at least one substantial project.
Tools & Resources
Kaggle for datasets and competitions, Industry internship programs, Open-source data visualization tools (Tableau Public, Power BI Desktop)
Career Connection
Practical experience through projects and internships is highly valued by Indian employers. It demonstrates real-world application of skills and significantly improves placement opportunities.
Specialize in Key Analytical Software and Programming- (Semester 3)
Gain hands-on expertise in at least one statistical software (R or Python) commonly used for business analytics. Focus on data cleaning, exploratory data analysis, and implementing machine learning algorithms. Complete certifications or online courses to validate skills.
Tools & Resources
RStudio, Anaconda (Python), Coursera/edX courses on R/Python for Data Science, Google Colab
Career Connection
Proficiency in R or Python is a core technical skill for data scientists and advanced business analysts. It unlocks opportunities in companies requiring advanced analytical capabilities and custom model development.
Build a Professional Network and Attend Industry Events- (Semester 3)
Connect with alumni, faculty, and industry professionals on LinkedIn. Attend industry webinars, conferences, and local meetups related to business analytics. Participate in MNIT''''s industry interaction events to understand current trends and potential career paths.
Tools & Resources
LinkedIn, Industry conferences (e.g., Data Science Summit India), MNIT Industry Interaction Cell
Career Connection
Networking is crucial for uncovering hidden job opportunities, mentorship, and staying updated with industry demands in India, which can significantly aid in securing desirable placements and future career growth.
Advanced Stage
Develop a Strong Capstone Project/Dissertation- (Semester 4)
Undertake a significant research project or dissertation in your chosen area of business analytics (e.g., marketing analytics, financial analytics, operations analytics). Focus on identifying a real business problem, applying advanced analytical techniques, and deriving actionable insights. This project should be suitable for your portfolio.
Tools & Resources
Academic research papers, Industry reports, Advanced analytics tools (e.g., SAS, SPSS, Python/R)
Career Connection
A well-executed capstone project serves as a powerful demonstration of your analytical and problem-solving abilities to potential employers, making you a strong candidate for specialized roles in the Indian market.
Intensive Placement Preparation and Mock Interviews- (Semester 4)
Regularly practice quantitative aptitude, logical reasoning, and verbal ability tests. Participate in mock interviews with faculty, alumni, and peers, focusing on both technical analytical questions and behavioral aspects. Prepare a compelling resume and LinkedIn profile highlighting analytics projects and skills.
Tools & Resources
Online aptitude test platforms (IndiaBix), Interview prep guides, Career Services at MNIT
Career Connection
Rigorous preparation is key to navigating the competitive placement landscape in India. It builds confidence and readiness for the diverse interview formats used by top recruiters.
Explore Advanced Topics and Certifications- (Semester 4 and post-graduation)
Delve deeper into specialized areas like Machine Learning, Deep Learning, Cloud Analytics (AWS, Azure, GCP), or specific domain analytics (e.g., Healthcare Analytics). Consider pursuing industry certifications like AWS Certified Cloud Practitioner, Microsoft Certified Azure Data Scientist Associate, or Google''''s Professional Data Engineer.
Tools & Resources
Online certification platforms, Advanced textbooks, Specialized industry workshops
Career Connection
Advanced certifications and specialized knowledge can differentiate you in the job market, particularly for roles requiring expertise in cloud platforms or specific AI/ML applications, leading to higher-paying positions in Indian tech and consulting firms.
Program Structure and Curriculum
Eligibility:
- Bachelors’ degree of minimum three years duration in any discipline with at least 60% marks (for General/OBC/EWS) or 6.50 CGPA on a 10 point scale and 55% marks (for SC/ST/PwD) or 6.00 CGPA on a 10 point scale from a recognized University/Institute OR Candidates appearing for the final year of bachelor’s degree/equivalent qualification examination and are awaiting results can also apply.
Duration: 2 years (4 semesters)
Credits: 100 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DMS-101 | Management & Organisational Behaviour | Core | 4 | Management Functions and Process, Organisational Behaviour Foundations, Individual Behaviour and Personality, Group Dynamics and Teamwork, Organisational Design and Change |
| DMS-102 | Marketing Management | Core | 4 | Marketing Environment Analysis, Consumer and Industrial Buyer Behaviour, Product Life Cycle and Strategies, Pricing Decisions and Strategies, Promotion and Distribution Channels |
| DMS-103 | Financial Management | Core | 4 | Introduction to Financial System, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Dividend Policy Decisions |
| DMS-104 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Production and Cost Theory, Market Structures and Pricing, Macroeconomic Indicators, Business Cycles and Policies |
| DMS-105 | Quantitative Methods for Managers | Core | 4 | Linear Programming and Optimization, Transportation and Assignment Problems, Decision Theory under Uncertainty, Queuing Theory and Simulation, Statistical Inference and Regression |
| DMS-106 | Business Communication & Soft Skills | Core | 3 | Principles of Business Communication, Oral Communication and Presentations, Written Business Correspondence, Group Discussion and Interview Skills, Interpersonal and Team Skills |
| DMS-107 | Computer Applications in Management | Core | 3 | MS Office for Business Analysis, Data Handling with Spreadsheets, Database Concepts and Applications, Internet and E-commerce Tools, Introduction to Business Software |
| DMS-108 | Management Lab | Core | 1 | Case Study Analysis, Role-Playing and Simulations, Group Projects and Presentations, Business Game Exercises, Communication Practice |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DMS-201 | Operations Management | Core | 4 | Operations Strategy and Design, Production Planning and Control, Inventory Management Techniques, Quality Management and TQM, Supply Chain Management Concepts |
| DMS-202 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection Strategies, Training and Development Programs, Performance Appraisal Systems, Compensation and Benefits Management |
| DMS-203 | Research Methodology | Core | 4 | Research Design and Problem Formulation, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Research Report Writing |
| DMS-204 | Management Information Systems | Core | 4 | Foundations of Information Systems, Database Management Systems, E-commerce and M-commerce, Decision Support Systems, IT Strategy and Business Transformation |
| DMS-205 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Company Law and Forms of Business, Consumer Protection Act, Intellectual Property Rights, Cyber Laws and IT Act |
| DMS-206 | Financial & Management Accounting | Core | 4 | Financial Statements Analysis, Ratio Analysis and Interpretation, Cost Accounting Principles, Budgeting and Budgetary Control, Variance Analysis for Performance |
| DMS-207 | Business Ethics & Corporate Governance | Core | 3 | Ethical Theories in Business, Corporate Social Responsibility, Stakeholder Management, Principles of Corporate Governance, Role of Board and Committees |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DMS-301 | Business Policy & Strategic Management | Core | 4 | Strategic Management Process, Environmental Analysis and Scanning, Strategy Formulation and Choice, Strategy Implementation and Control, Corporate Governance and Ethics in Strategy |
| DMS-302 | Entrepreneurship Development | Core | 4 | Nature of Entrepreneurship, Idea Generation and Opportunity Analysis, Business Plan Development, Sources of Finance for Startups, Legal and Regulatory Aspects |
| DMS-303 | International Business Management | Core | 4 | Global Business Environment, International Trade Theories, Foreign Exchange Markets, Global Marketing Strategies, Managing Global Operations |
| DMS-701 | Data Warehousing & Data Mining | Elective | 4 | Data Warehouse Architecture, ETL Process and Data Cubes, Data Mining Concepts and Tasks, Classification Algorithms, Clustering Techniques |
| DMS-702 | Business Forecasting & Predictive Modelling | Elective | 4 | Time Series Analysis, Regression Models for Prediction, Machine Learning for Forecasting, Model Evaluation and Validation, Forecasting in Business Context |
| DMS-703 | Business Intelligence & Data Visualization | Elective | 4 | Business Intelligence Architecture, Data Reporting and Dashboards, Principles of Data Visualization, Tools: Tableau and Power BI, Storytelling with Data |
| DMS-704 | Big Data Analytics | Elective | 4 | Introduction to Big Data, Hadoop Ecosystem Fundamentals, Spark for Data Processing, NoSQL Databases, Big Data Technologies and Applications |
| DMS-705 | Social Media & Web Analytics | Elective | 4 | Social Media Metrics and KPIs, Sentiment Analysis and Text Mining, Web Traffic Analysis, SEO and SEM Analytics, Google Analytics Implementation |
| DMS-706 | Prescriptive Analytics | Elective | 4 | Optimization Models and Techniques, Simulation and Monte Carlo Methods, Decision Analysis and Trees, A/B Testing for Business Decisions, Applications of Operational Research |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DMS-401 | Project Study | Core | 8 | Problem Identification and Formulation, Literature Review and Research Design, Data Collection and Analysis, Report Writing and Presentation, Project Management Skills |
| DMS-402 | Comprehensive Viva-Voce | Core | 3 | Overall Program Knowledge, Application of Concepts, Analytical and Critical Thinking, Communication Skills, Readiness for Industry |
