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MBA-BUSINESS-ANALYTICS in Business Analytics at Delhi Skill and Entrepreneurship University, Mayur Vihar Campus
Delhi, Delhi
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About the Specialization
What is Business Analytics at Delhi Skill and Entrepreneurship University, Mayur Vihar Campus Delhi?
This MBA (Business Analytics) program at Delhi Skill and Entrepreneurship University Mayur Vihar Campus focuses on equipping students with advanced analytical skills and business acumen to drive data-driven decision-making. In the rapidly evolving Indian market, this program''''s blend of statistical methods, machine learning, and business strategy addresses the surging demand for skilled professionals who can translate complex data into actionable insights, differentiating it through practical, industry-aligned training.
Who Should Apply?
This program is ideal for recent graduates across diverse disciplines, including B.Tech, B.Sc (Math/Stat/CS), BBA, or B.Com, seeking a robust entry into the lucrative field of data science and business intelligence. It also caters to working professionals aiming to upskill their analytical capabilities or transition into data-centric roles, providing them with the necessary tools and methodologies to excel in various sectors.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths such as Business Analyst, Data Scientist, Data Consultant, or Analytics Manager within Indian companies and global MNCs operating in India. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning upwards of INR 15-30 LPA. The curriculum prepares students for relevant industry certifications and offers a strong foundation for leadership roles in data strategy.
Student Success Practices
Foundation Stage
Build a Strong Foundational Analytics Toolkit- (Semester 1-2)
Focus intensively on mastering statistical concepts, spreadsheet modeling, and Python programming as taught in core subjects. Regularly practice problem-solving using real-world datasets and participate in coding challenges to solidify understanding.
Tools & Resources
Python (Jupyter Notebooks, Spyder), Excel, Kaggle datasets, online tutorials (e.g., DataCamp, Coursera for Python basics)
Career Connection
A robust foundation in these tools is non-negotiable for any analytics role, enabling smooth progression to advanced concepts and immediate contribution in internships.
Develop Business Acumen Alongside Technical Skills- (Semester 1-2)
Actively engage in case studies and discussions from subjects like Marketing Management, Financial Management, and Managerial Economics. Understand how business functions operate and identify where data analytics can add strategic value, linking technical skills to business outcomes.
Tools & Resources
Harvard Business Review case studies, business newspapers (e.g., Economic Times, Business Standard), industry reports
Career Connection
Employers seek professionals who not only crunch numbers but also understand the business context and can communicate insights effectively to non-technical stakeholders.
Network Early and Seek Mentorship- (Semester 1-2)
Attend industry webinars, guest lectures, and workshops organized by DSEU. Connect with alumni, faculty, and industry professionals on platforms like LinkedIn. Seek informal mentorship to understand career paths and gain insights into the analytics industry in India.
Tools & Resources
LinkedIn, DSEU Alumni Network, industry conferences (e.g., Data Science Summit)
Career Connection
Early networking opens doors to internship opportunities, industry projects, and valuable career guidance, crucial for navigating the competitive Indian job market.
Intermediate Stage
Specialize and Apply Machine Learning- (Semester 3)
Deep dive into specialization electives, focusing on practical implementation of Data Warehousing, Data Mining, and Machine Learning algorithms. Work on mini-projects to apply these techniques to specific business problems (e.g., predictive modeling for customer churn, market basket analysis).
Tools & Resources
R, SQL, scikit-learn, TensorFlow/Keras, industry-specific datasets
Career Connection
Hands-on experience with advanced machine learning is critical for roles like Data Scientist or ML Engineer, directly enhancing employability in India''''s tech sector.
Build a Portfolio of Analytics Projects- (Semester 3-4)
Leverage the Business Analytics Project (Part 1 & 2) to build a comprehensive portfolio. Choose challenging, real-world problems, clean and analyze data, build models, and visualize findings. Document each project thoroughly, explaining methodologies and outcomes.
Tools & Resources
GitHub, Tableau Public/Power BI, independent datasets from various sources, project management tools
Career Connection
A strong project portfolio is vital for demonstrating practical skills to potential employers during placements and interviews in Indian companies.
Master Data Visualization and Storytelling- (Semester 3-4)
Go beyond basic charting and learn to create compelling data dashboards and visual narratives using tools like Tableau or Power BI. Practice presenting complex findings clearly and concisely, focusing on delivering actionable business insights.
Tools & Resources
Tableau, Microsoft Power BI, infographic design principles, public speaking workshops
Career Connection
The ability to effectively communicate data insights is highly valued in all analytics roles, from business intelligence to consulting, making you a more impactful professional.
Advanced Stage
Master Big Data Technologies and AI Applications- (Semester 4)
Gain practical experience with Big Data frameworks like Hadoop/Spark and explore AI/Deep Learning concepts, as covered in advanced subjects. Undertake projects that involve processing large datasets or developing simple AI models for business applications.
Tools & Resources
Apache Spark, Google Colab (for Deep Learning), cloud platforms (AWS/Azure/GCP free tiers), online AI courses
Career Connection
Proficiency in Big Data and AI is in high demand, positioning graduates for cutting-edge roles in data engineering, advanced analytics, and AI strategy within leading tech firms and startups.
Engage in Mock Interviews and Placement Preparation- (Semester 4)
Actively participate in DSEU''''s placement training programs, mock interviews, and group discussions. Refine resume and cover letter writing. Focus on solving business analytics case studies and technical questions commonly asked by Indian recruiters.
Tools & Resources
DSEU Career Services, online interview platforms, company-specific interview guides, peer groups for practice
Career Connection
Thorough preparation significantly boosts confidence and performance in campus placements, securing desirable roles with competitive packages.
Develop Ethical Data Practices and Leadership Qualities- (Semester 4)
Understand and integrate ethical considerations, data privacy (e.g., GDPR, India''''s DPDP Bill), and responsible AI principles into project work. Take initiative in group projects, mentor junior students, and develop leadership attributes for future management roles.
Tools & Resources
Data ethics guidelines, case studies on data breaches/AI bias, leadership workshops
Career Connection
Ethical awareness and leadership potential are crucial for long-term career growth, enabling graduates to lead teams and shape data governance policies in Indian organizations.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree (Min 3 years) with 50% marks (45% for SC/ST/PWD). Valid scores in CAT/CMAT/XAT/MAT/GMAT or university CET.
Duration: 2 years (4 semesters)
Credits: 98 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 101 | Management Process & Organizational Behaviour | Core | 4 | Management Concepts, Organizational Culture, Motivation Theories, Leadership Styles, Group Dynamics, Conflict Management |
| MBA 103 | Managerial Economics | Core | 4 | Demand Analysis, Production Theory, Cost Concepts, Market Structures, Pricing Strategies, Macroeconomics |
| MBA 105 | Accounting for Management | Core | 4 | Financial Accounting Basics, Cost Accounting, Financial Statement Analysis, Budgeting, Working Capital Management |
| MBA 107 | Business Statistics & Analytics | Core | 4 | Data Collection, Probability, Hypothesis Testing, Regression Analysis, Forecasting, Statistical Software |
| MBA 109 | Business Communication | Core | 3 | Communication Process, Oral Communication, Written Communication, Presentation Skills, Business Correspondence |
| MBA 111 | Marketing Management | Core | 4 | Marketing Environment, Consumer Behavior, Segmentation, Product Decisions, Pricing Strategies, Promotion Mix |
| MBA 113 | Spreadsheet Modelling for Business Analytics Lab | Lab | 2 | Excel Functions, Data Manipulation, Statistical Tools, Scenario Analysis, Optimization, Visualization |
| MBA 115 | Employability Skills | Non-Credit | 0 | Aptitude Development, Personality Development, Interview Preparation, Professional Etiquette, Teamwork |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 201 | Human Resource Management | Core | 4 | HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation & Benefits, Industrial Relations |
| MBA 203 | Operations Management | Core | 4 | Production Systems, Inventory Management, Quality Control, Supply Chain Management, Project Management, Lean Operations |
| MBA 205 | Financial Management | Core | 4 | Capital Budgeting, Working Capital Management, Cost of Capital, Leverage, Dividend Policy, Financial Markets |
| MBA 207 | Research Methodology | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis Tools, Report Writing, Ethical Considerations |
| MBA 209 | Legal Aspects of Business | Core | 3 | Contract Act, Company Law, Consumer Protection Act, Intellectual Property Rights, Cyber Law, Competition Law |
| MBA 211 | Python Programming for Business Analytics | Core | 4 | Python Fundamentals, Data Structures, Numpy & Pandas, Data Cleaning & Preprocessing, Matplotlib & Seaborn, Web Scraping Basics |
| MBA 213 | Advanced Business Analytics Lab | Lab | 2 | Python for Data Analysis, SQL Queries, Machine Learning Basics, Tableau/Power BI Fundamentals, Big Data Concepts, Statistical Modeling |
| MBA 215 | Summer Internship | Non-Credit | 0 | Industry Exposure, Practical Application, Skill Development, Networking, Project Report, Presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 301 | Business Ethics & Corporate Governance | Core | 3 | Ethical Theories, Corporate Social Responsibility, Stakeholder Management, Governance Codes, Whistleblowing, Sustainability |
| MBA 303 | Strategic Management | Core | 4 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Strategic Evaluation, Competitive Advantage, Global Strategies |
| MBA 305 | Data Warehousing and Data Mining | Specialization | 4 | Data Warehouse Architecture, ETL Process, Data Mining Techniques, Association Rules, Classification, Clustering |
| MBA 307 | Machine Learning for Business Analytics | Specialization | 4 | Supervised Learning, Unsupervised Learning, Regression Models, Classification Algorithms, Decision Trees, Neural Networks Basics |
| MBA BA 309 | Marketing Analytics | Elective | 3 | Marketing Data Sources, Customer Segmentation, Predictive Analytics in Marketing, Campaign Optimization, Web Analytics, Social Media Analytics |
| MBA BA 313 | HR Analytics | Elective | 3 | Workforce Planning Analytics, Employee Retention Analysis, Performance Metrics, Predictive HR Models, Compensation Analytics, Talent Acquisition Analytics |
| MBA 317 | Business Analytics Project (Part 1) | Project | 3 | Problem Definition, Data Collection Plan, Literature Review, Methodology Design, Project Proposal, Initial Data Exploration |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | International Business | Core | 3 | Globalization, International Trade Theories, Foreign Exchange Management, International Marketing, Global HRM, Cross-cultural Management |
| MBA 403 | Business Intelligence & Data Visualization | Specialization | 4 | BI Architecture, Data Dashboards, Key Performance Indicators, Tableau/Power BI, Infographics, Storytelling with Data |
| MBA 405 | Big Data Analytics | Specialization | 4 | Hadoop Ecosystem, Apache Spark, NoSQL Databases, Distributed Processing, Data Lake Concepts, Stream Analytics |
| MBA 407 | AI & Deep Learning for Business | Specialization | 4 | Neural Networks, Deep Learning Architectures, Natural Language Processing, Computer Vision Basics, AI Applications in Business, Reinforcement Learning |
| MBA 409 | Business Research Project (Part 2) | Project | 5 | Data Analysis & Modeling, Interpretation of Results, Report Writing, Presentation of Findings, Ethical Practices in Research, Project Implementation |
