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DataEcon Nexus – Professional Degree in Economic Analytics & Strategic Intelligence

  DataEcon Nexus – Professional Degree in Economic Analytics & Strategic Intelligence Objectives of the DataEcon Nexus Professional Degree The primary objective of the DataEcon Nexus program is to develop highly skilled professionals capable of integrating economics, data analytics, behavioral science, and strategic intelligence to solve complex market and policy challenges. The course aims to build strong quantitative and analytical capabilities through mathematical economics, econometrics, statistical modeling, and predictive analytics, enabling students to make data-driven decisions in diverse sectors such as retail, finance, manufacturing, startups, and public policy. Another key objective is to enhance students’ understanding of consumer behavior and market psychology so they can design effective business strategies, digital campaigns, and market entry models. The program also focuses on financial intelligence, risk assessment, and investment analytics, helping learners ev...

Model MBA Syllabus

 Model MBA Syllabus



Duration: 2 Years Full-Time
Structure: 4 Semesters + Summer Internship + Capstone
Credits: 100–120
Pedagogy: Case Method, Simulations, Analytics Labs, Industry Projects, Internships

 

🎯 Program Objectives

  1. Develop strategic leaders with analytical and ethical decision-making skills
  2. Integrate business fundamentals + data analytics
  3. Promote experiential learning through industry immersion
  4. Build competencies in AI, ESG, Digital Transformation & Global Business
  5. Enhance communication, leadership, and entrepreneurship capabilities

 

🧭 Program Architecture & Sequence

Phase

Focus

Outcome

Pre-Term

Foundation Skills

Business basics & analytics readiness

Year 1

Core Management Knowledge

Functional understanding

Summer Internship

Industry Exposure

Practical application

Year 2

Specialization & Analytics Depth

Strategic expertise

Capstone

Consulting Project

Industry problem solving

 

🟦 PRE-TERM (4–6 Weeks Foundation Module)

Purpose

Align diverse academic backgrounds and build analytical mindset.

Courses

  • Basics of Accounting & Finance
  • Quantitative Techniques for Managers
  • Excel, Python & Data Visualization
  • Communication & Business Writing
  • Leadership & Team Dynamics
  • Design Thinking Workshop

 

📚 YEAR 1 – CORE FOUNDATION (SEMESTER 1 & 2)

 

🟩 SEMESTER 1 – Functional Fundamentals

Finance & Economics

  • Financial Reporting & Analysis
  • Managerial Economics
  • Cost & Management Accounting

Marketing & Strategy

  • Marketing Management
  • Business Environment & Policy

Analytics & Operations

  • Statistics for Business Analytics
  • Operations Management
  • Spreadsheet Modeling

Leadership

  • Organizational Behavior
  • Business Communication

Practical Component

  • Case Study Analysis Lab
  • Industry Guest Sessions

 

🟩 SEMESTER 2 – Integrated Management & Analytics

Finance & Strategy

  • Corporate Finance
  • Strategic Management
  • Macroeconomics & Global Trade

Analytics Core

  • Data Analytics for Managers
  • Predictive Analytics & Regression
  • Database Management & SQL

Operations & HR

  • Supply Chain Management
  • Human Resource Management

Ethics & Sustainability

  • Business Ethics & Corporate Governance
  • Sustainability & ESG Fundamentals

Practical Component

  • Live Industry Project (Mini Consulting)
  • Business Simulation Exercise

 

🧑‍💼 SUMMER INTERNSHIP (8–10 Weeks)

Structure

  • Industry Placement in Finance/Marketing/Analytics/Operations
  • Defined problem statement
  • Faculty + Industry Mentor

Evaluation

  • Internship Report
  • Industry Supervisor Feedback
  • Presentation & Viva

 

🎓 YEAR 2 – SPECIALIZATION + BUSINESS ANALYTICS

 

🟪 SEMESTER 3 – Advanced Courses & Specializations

Students choose Major + Minor.

🎯 Common Advanced Core

  • AI & Machine Learning for Business
  • Digital Transformation Strategy
  • Research Methods & Business Analytics

📊 Business Analytics Specialization

  • Advanced Predictive Analytics
  • Machine Learning Applications
  • Big Data & Cloud Analytics
  • Data Visualization (Power BI/Tableau)
  • Marketing Analytics
  • Financial Analytics
  • HR Analytics

💼 Other Specialization Options

  • Finance: Investment Analysis, FinTech
  • Marketing: Digital Marketing Analytics
  • Operations: Advanced Supply Chain Analytics
  • HR: Talent Analytics
  • Entrepreneurship & Innovation
  • International Business

Practical

  • Industry Analytics Project
  • Consulting Simulation

 

🟪 SEMESTER 4 – Strategic Integration & Capstone

Strategic Courses

  • Corporate Strategy & Innovation
  • Risk Management & Decision Science
  • Global Business Strategy

Emerging Trend Modules

  • ESG & Sustainable Finance
  • Blockchain & FinTech Applications
  • Startup Analytics & Venture Capital
  • Responsible AI & Ethics

Final Deliverables

  • Major Capstone Consulting Project
  • Research Dissertation / Applied Analytics Project
  • Industry Viva Panel

 

🔬 INDUSTRY INTEGRATION FRAMEWORK

  1. Semester 2 Live Projects – Real company problems
  2. Summer Internship – Mandatory practical exposure
  3. Semester 3 Analytics Labs – Real datasets
  4. Semester 4 Capstone – Consulting for industry
  5. Industry Advisory Board involvement in syllabus revision

 

📊 ASSESSMENT MODEL

Component

Weightage

Case Studies & Assignments

25%

Projects & Presentations

30%

Exams

25%

Internship & Capstone

20%

 

🧑‍🏫 PEDAGOGICAL APPROACH

  • Harvard Case Method
  • Wharton Analytics Labs
  • Stanford Design Thinking
  • IIM Live Projects & Rural Immersion
  • Simulations & Role Play

 

🏫 IMPLEMENTATION STEPS FOR B-SCHOOLS

  1. Establish Industry Advisory Board
  2. Develop Analytics Labs & Software Access
  3. Train Faculty in AI & Data Tools
  4. Partner with Companies for Live Projects
  5. Create Specialization Tracks from Semester 3
  6. Implement Continuous Curriculum Review (Every 2 Years)
  7. Introduce Mentorship Program (Alumni + Industry)

 

📈 EXPECTED GRADUATE OUTCOMES

  • Data-driven decision-making ability
  • Strategic leadership competence
  • Digital & AI literacy
  • Industry-ready consulting skills
  • Ethical and sustainable business perspective

Advanced MBA Specialization Syllabus Model

(Marketing | Finance | HR | Operations with Analytics Integration)

Program Type: MBA (Major + Minor + Analytics Core)
Specialization Begins: Semester 3
Approach: Case-based + Industry Project + Simulation + Analytics Labs

 

📊 COMMON ANALYTICS CORE (FOR ALL SPECIALIZATIONS)

These subjects run parallel to specializations to make managers data-driven.

  • Business Analytics & Decision Modeling
  • Data Visualization (Power BI / Tableau)
  • AI Applications in Business
  • Predictive Analytics
  • Research Methodology
  • Digital Transformation Strategy
  • ESG & Sustainability Management

 

📣 MBA MARKETING SPECIALIZATION – ADVANCED SYLLABUS

Core Marketing Subjects

  • Consumer Behavior & Neuromarketing
  • Brand Management & Brand Equity
  • Marketing Strategy & Competitive Positioning
  • Sales & Distribution Management
  • Integrated Marketing Communication

Digital & Analytics Marketing

  • Digital Marketing & Social Media Analytics
  • Marketing Analytics & Customer Insights
  • E-commerce & Omni-channel Marketing
  • Performance Marketing & SEO Analytics
  • CRM & Customer Lifetime Value Analysis

Advanced Marketing Topics

  • Luxury & Retail Marketing
  • International Marketing Strategy
  • Rural & Agri Marketing
  • Service Marketing
  • Product Innovation & New Product Development

Practical Components

  • Live Marketing Campaign Project
  • Market Research Project
  • Brand Audit Case Study
  • Industry Internship

 

💰 MBA FINANCE SPECIALIZATION – ADVANCED SYLLABUS

Core Finance Subjects

  • Advanced Corporate Finance
  • Investment Analysis & Portfolio Management
  • Financial Markets & Institutions
  • Derivatives & Risk Management
  • Mergers & Acquisitions

FinTech & Analytics Finance

  • Financial Analytics & Modeling
  • Algorithmic Trading Concepts
  • FinTech & Blockchain Applications
  • AI in Financial Decision Making
  • Credit Risk Analytics

Strategic Finance Topics

  • International Finance
  • Behavioral Finance
  • Private Equity & Venture Capital
  • Banking & Insurance Management
  • Treasury & Working Capital Management

Practical Components

  • Equity Research Project
  • Financial Modeling Lab
  • Investment Simulation
  • Corporate Internship

 

👥 MBA HR SPECIALIZATION – ADVANCED SYLLABUS

Core HR Subjects

  • Strategic Human Resource Management
  • Talent Acquisition & Employer Branding
  • Compensation & Benefits Management
  • Industrial Relations & Labor Laws
  • Performance Management Systems

HR Analytics & Technology

  • HR Analytics & Workforce Planning
  • AI in Recruitment & Talent Management
  • HR Information Systems
  • Organizational Network Analysis
  • Predictive HR Analytics

Strategic HR Topics

  • Leadership Development & Coaching
  • Diversity & Inclusion Management
  • Organizational Change & Transformation
  • Conflict Resolution & Negotiation
  • Psychological Assessment in HR

Practical Components

  • HR Audit Project
  • Employee Engagement Survey Analysis
  • Leadership Simulation
  • Corporate HR Internship

 

⚙️ MBA OPERATIONS & SUPPLY CHAIN SPECIALIZATION – ADVANCED SYLLABUS

Core Operations Subjects

  • Advanced Operations Management
  • Production Planning & Control
  • Total Quality Management
  • Project Management
  • Logistics & Distribution Management

Analytics & Technology in Operations

  • Supply Chain Analytics
  • Operations Research & Optimization
  • Industry 4.0 & Smart Manufacturing
  • IoT in Operations
  • Simulation Modeling

Strategic Operations Topics

  • Global Supply Chain Strategy
  • Lean Six Sigma & Process Improvement
  • Procurement & Vendor Management
  • Sustainable Operations & Green Logistics
  • Service Operations Management

Practical Components

  • Factory Study Project
  • Process Improvement Consulting
  • Operations Simulation Lab
  • Manufacturing/Logistics Internship

 

🧭 INTEGRATED CAPSTONE (FINAL SEMESTER)

Students work in cross-functional teams.

  • Marketing + Finance Pricing Strategy
  • HR + Operations Workforce Optimization
  • Analytics-based Strategic Consulting Project
  • Startup Business Model Development

 

📈 PEDAGOGICAL STRUCTURE

  • Harvard Case Method
  • IIM Field Projects
  • Wharton Analytics Labs
  • Stanford Design Thinking
  • Industry Certification Modules (Google Analytics, SAP, Bloomberg)

 

🏫 IMPLEMENTATION SEQUENCE FOR COLLEGES

  1. Define Major–Minor System
  2. Create Analytics Lab Infrastructure
  3. Industry Collaboration for Live Projects
  4. Faculty Training in AI & Data Tools
  5. Continuous Curriculum Review Panel
  6. Internship Partnerships with Industry Clusters
  7. Evaluation through Project + Simulation

 

🎯 STUDENT OUTCOMES

Graduates will become:

  • Data-driven Marketing Strategists
  • Financial Analysts & FinTech Professionals
  • Strategic HR Business Partners
  • Operations & Supply Chain Leaders

 

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