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MBA-GENERAL-SPM in Business Analytics at Pandit Deendayal Energy University
Gandhinagar, Gujarat
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About the Specialization
What is Business Analytics at Pandit Deendayal Energy University Gandhinagar?
This Business Analytics program at Pandit Deendayal Energy University (PDEU) focuses on equipping students with advanced analytical tools and techniques. It leverages data science to derive actionable insights, crucial for modern business decision-making in the rapidly evolving Indian market. The program emphasizes a blend of theoretical knowledge and practical application, preparing professionals to tackle complex business challenges across various sectors.
Who Should Apply?
This program is ideal for fresh graduates from quantitative backgrounds (e.g., engineering, science, commerce) seeking entry into data-driven roles. It also suits working professionals aiming to upskill in analytics or career changers transitioning to the burgeoning analytics industry in India, providing a strong foundation for various sectors requiring data expertise and strategic thinking.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Business Analysts, Data Scientists, Predictive Modelers, or Consultants in India. Entry-level salaries typically range from INR 6-10 LPA, growing significantly with experience. The program aligns with industry demands for data-driven professionals, offering growth trajectories in Indian and multinational companies operating in the country, and enhancing problem-solving capabilities.
Student Success Practices
Foundation Stage
Strengthen Core Business Fundamentals- (Semester 1-2)
Dedicate focused time to mastering foundational subjects like Quantitative Techniques, Financial Reporting, and Marketing Management. Actively participate in case studies and discussions to thoroughly understand business contexts. Form study groups to clarify concepts and collaboratively prepare for internal assessments, ensuring a strong academic base for future specialization.
Tools & Resources
Textbooks, Harvard Business Review Cases, Excel for basic data analysis, Peer study groups
Career Connection
A solid grasp of business fundamentals is critical for interpreting analytical insights accurately and communicating them effectively to non-technical stakeholders in any Indian corporate setting.
Develop Foundational Analytical Skills- (Semester 1-2)
Beyond classroom learning, proactively invest in self-paced online courses to build proficiency in basic statistical programming (R, Python) and data visualization tools (Tableau, Power BI). Practice coding and data manipulation with publicly available datasets to gain early hands-on experience before advanced analytics courses.
Tools & Resources
Coursera, Udemy, DataCamp for R/Python/SQL tutorials, Kaggle datasets, Tableau Public
Career Connection
Early proficiency in these fundamental tools makes you significantly more competitive for summer internships and entry-level business analyst roles in Indian startups and established MNCs.
Network and Explore Career Paths- (Semester 1-2)
Attend industry webinars, guest lectures, and alumni meet-ups organized by the university or School of Petroleum Management (SPM). Actively engage with faculty and seniors to understand various career trajectories within Business Analytics in India. Explore different sectors where analytics is applied to identify areas of personal interest for future specialization choices.
Tools & Resources
LinkedIn, University career services, Industry association events (e.g., NASSCOM webinars)
Career Connection
Early networking helps in discovering relevant internship opportunities and building professional relationships that can be invaluable for placements and long-term career guidance.
Intermediate Stage
Undertake Impactful Summer Internship- (After Semester 2 (during summer break))
Actively seek and excel in your Summer Internship Project (SIP) by applying theoretical knowledge to real-world business problems. Focus on generating measurable impact, meticulously documenting your contributions, and building strong relationships with your industry mentors. This practical experience is crucial for professional development.
Tools & Resources
Internship reports, Industry-specific software (e.g., SAP, Salesforce), Company datasets
Career Connection
A well-executed SIP often leads to pre-placement offers (PPOs) or provides a robust talking point for final placements in top Indian companies, demonstrating practical analytical skills and industry readiness.
Deep Dive into Specialization Electives- (Semester 3-4)
Strategically choose your Business Analytics electives (e.g., Data Mining, Predictive Analytics, Marketing Analytics, Financial Analytics) based on your specific career interests. Go beyond syllabus requirements by reading advanced papers and working on mini-projects related to these chosen areas to develop niche expertise and a stronger portfolio.
Tools & Resources
Advanced textbooks, Research papers, Industry whitepapers, Online specialized courses
Career Connection
Specialized knowledge in a sub-domain of analytics can significantly differentiate you and open doors to specific, high-demand roles in growing sectors like FinTech, E-commerce, or Healthcare Analytics in India.
Participate in Data Science Competitions- (Semester 3-4)
Join data science hackathons and competitions (e.g., on Kaggle, Analytics Vidhya, or internal university contests). These platforms provide invaluable hands-on experience with diverse datasets, expose you to different problem-solving approaches, and allow you to benchmark your skills against peers nationally, enhancing your profile.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub, Collaborative coding platforms
Career Connection
Winning or performing well in these competitions significantly boosts your resume, showcasing your problem-solving abilities and practical analytical skills to potential employers in India.
Advanced Stage
Execute a High-Quality Dissertation Project- (Semester 3-4)
Select a challenging and industry-relevant topic for your Dissertation Project. Collaborate closely with a faculty mentor and, if possible, an industry partner. Focus on rigorous data analysis, insightful interpretation, and clear communication of findings. A strong dissertation is a testament to your advanced analytical capabilities.
Tools & Resources
Statistical software (SPSS, R, Python), Research databases, Industry reports
Career Connection
A robust dissertation demonstrates your ability to conduct independent research and solve complex problems, which is highly valued for leadership and strategic roles in analytics in India.
Polish Resume and Interview Skills- (Semester 4)
Refine your resume and cover letter, meticulously highlighting analytical projects, tools proficiency, and measurable achievements. Practice behavioral and technical interview questions, especially those related to case studies and data interpretation. Seek guidance from career services and alumni for mock interviews tailored to Indian recruitment processes.
Tools & Resources
Career services workshops, Online interview prep platforms, Mock interviews with alumni
Career Connection
Effective communication of your skills and experience is crucial for converting interview opportunities into placement offers from leading Indian companies.
Build a Professional Digital Portfolio- (Throughout the program, finalized in Semester 4)
Create a compelling online portfolio (e.g., GitHub, personal website) showcasing your data science projects, visualizations, and code. Include detailed explanations of problem statements, methodologies, and outcomes. This provides tangible proof of your skills to recruiters beyond your resume, demonstrating practical application.
Tools & Resources
GitHub, LinkedIn, Personal website builders (e.g., WordPress, Squarespace), Tableau Public profiles
Career Connection
A strong digital portfolio makes you stand out to hiring managers for analytics roles, especially those seeking candidates with demonstrable practical skills and a passion for data.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate marks (45% for SC/ST category) in a Bachelor''''s Degree of minimum 3 years duration in any discipline from a University recognized by the Association of Indian Universities (AIU). Candidates appearing for the final year examination can also apply; they must fulfill the eligibility criteria by July 31, 2024. A valid CAT/XAT/NMAT/CMAT score is required.
Duration: 2 years / 4 semesters
Credits: 87 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101 | Quantitative Techniques | Core | 3 | Statistical methods, Probability distributions, Regression analysis, Hypothesis testing, Operations Research, Forecasting models |
| MBA102 | Managerial Economics | Core | 3 | Demand and Supply analysis, Production & cost theory, Market structures, Pricing strategies, Macroeconomic indicators, Business cycles |
| MBA103 | Financial Reporting & Analysis | Core | 3 | Financial statements, Accounting principles, Ratio analysis, Cash flow statements, Valuation techniques, Introduction to IFRS |
| MBA104 | Organizational Behavior | Core | 3 | Individual behavior, Group dynamics, Leadership theories, Motivation in organizations, Organizational culture, Conflict management |
| MBA105 | Marketing Management | Core | 3 | Marketing mix (4Ps), Consumer behavior, Market segmentation & targeting, Product lifecycle, Pricing strategies, Promotion & distribution channels |
| MBA106 | Human Resource Management | Core | 3 | HR planning, Recruitment & selection, Training & development, Performance management, Compensation & benefits, Industrial relations |
| MBA107 | Business Communication | Core | 3 | Verbal & non-verbal communication, Written communication, Business presentations, Intercultural communication, Negotiation skills, Digital communication ethics |
| MBA108 | Management Information Systems | Core | 3 | Information systems concepts, Database management, E-business & E-commerce, IT infrastructure, Decision support systems, Cybersecurity basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201 | Research Methodology | Core | 3 | Research design, Data collection methods, Sampling techniques, Data analysis tools, Hypothesis formulation, Report writing & presentation |
| MBA202 | Financial Management | Core | 3 | Capital budgeting, Working capital management, Cost of capital, Risk & return, Dividend policy, Sources of finance |
| MBA203 | Operation Management | Core | 3 | Production planning, Inventory management, Quality management, Supply chain management, Process design, Lean operations |
| MBA204 | Economic Environment of Business | Core | 3 | Macroeconomic policies, Fiscal & monetary policy, Inflation & unemployment, Balance of payments, Global economic trends, Impact on business strategy |
| MBA205 | Cost and Management Accounting | Core | 3 | Cost concepts & classification, Budgeting & budgetary control, Variance analysis, Activity-based costing, Decision-making tools, Standard costing |
| MBA206 | Legal & Business Environment | Core | 3 | Indian legal system, Contract law, Company law, Consumer protection, Intellectual property rights, Environmental regulations |
| MBA207 | Entrepreneurship | Core | 3 | Idea generation, Business plan development, Funding sources, Startup ecosystem in India, Innovation management, Social entrepreneurship |
| MBA208 | Business Ethics and Corporate Governance | Core | 3 | Ethical theories, Corporate social responsibility, Whistleblowing policies, Board of Directors'''' roles, Stakeholder management, Regulatory compliance |
| MBASIP | Summer Internship Project | Project | 6 | Practical industry exposure, Real-world problem solving, Project report preparation, Presentation skills development, Mentorship experience, Industry networking |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301 | Strategic Management | Core | 3 | Strategic analysis, Strategy formulation & implementation, Competitive advantage, Corporate strategy, Business unit strategy, Mergers & acquisitions |
| MBA302 | International Business | Core | 3 | Globalization & its impact, International trade theories, Foreign exchange markets, Global marketing strategies, Cross-cultural management, Foreign Direct Investment (FDI) |
| MBA303 | Project Management | Core | 3 | Project lifecycle, Planning & scheduling techniques, Risk management in projects, Resource allocation, Project monitoring & control, Introduction to Agile methodologies |
| MBABA304 | Data Mining for Business Analytics | Elective | 3 | Data preprocessing, Association rules mining, Classification techniques, Clustering algorithms, Predictive modeling, Text mining for business applications |
| MBABA305 | Predictive Analytics | Elective | 3 | Regression models, Time series analysis, Machine learning algorithms, Model evaluation metrics, Forecasting techniques, Big Data applications |
| MBABA306 | Marketing Analytics | Elective | 3 | Customer segmentation, Campaign effectiveness, Web analytics, Social media analytics, Pricing analytics, Market basket analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBABA401 | Financial Analytics | Elective | 3 | Risk modeling, Portfolio optimization, Algorithmic trading concepts, Credit scoring, Fraud detection, Fintech applications |
| MBABA402 | Supply Chain Analytics | Elective | 3 | Demand forecasting, Inventory optimization, Logistics analytics, Supplier performance analysis, Network design, Supply chain risk analytics |
| MBABA403 | HR Analytics | Elective | 3 | Workforce planning, Recruitment analytics, Performance analytics, Employee churn prediction, Compensation analysis, Diversity & Inclusion (DEI) metrics |
| MBADISS | Dissertation Project | Project | 6 | Research proposal development, Literature review, Data collection & analysis, Thesis writing & formatting, Viva-Voce examination, Original research contribution |
