Admission 2026-27

School of business - VALUE ADDED COURSE (VAC)

Course Title : Building a successful brand

Duration: 60 hours, 3 Months Course, Saturday

Mode of Delivery: Offline

Course Coordinator: Dr. Rahim Munshi

Course Objectives:

This course aims to provide participants with a strong foundation in branding and brand management, develop strategic and creative skills to build and sustain brand equity, and equip learners with practical exposure through case studies and hands-on logo design using Adobe Illustrator.

Course Outcomes:

By the end of the course, participants will understand key branding concepts, apply strategies to design and market brands, evaluate brand performance, and create impactful branding solutions that combine strategic insight with practical design skills.

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MODULE 1

  • Opening Perspectives
  • Brands and Brand Management
  • Developing a Brand Strategy
  • Customer-Based Brand Equity and Brand Positioning
  • Brand Resonance and the Brand Value Chain

MODULE 2

  • Designing and Implementing Brand Marketing Programs
  • Choosing Brand Elements to Build BrandEquity
  • Designing Marketing Programs to Build Brand Equity
  • Integrating Marketing Communications to Build Brand Equity
  • Branding in the Digital Era
  • Leveraging Secondary Brand Associations to Build Brand Equity

MODULE 3

  • Measuring and Interpreting Brand Performance
  • Developing a Brand Equity Measurement and Management System
  • Measuring Sources of Brand Equity: Capturing Customer Mind-Sct
  • Measuring Outcomes of Brand Equity: Capturing Market Performance

MODULE 4

  • Growing and Sustaining Brand Equity
  • Designing and Implementing Brand Architecture Strategies
  • Introducing and Naming New Products and Brand Extensions
  • Managing Brands Over Time
  • Managing Brands Over Geographic
  • Boundaries and Market Segments

MODULE 5

  • Case Studies on Successful Brands
  • Hands on practice of Adobe Illustrator from making brand logo

Pedagogy:

  • Classroom Sessions
  • Field Visits
  • Case Studies

Eligibility

  • Any student pursuing Graduation/Masters with a good academic record
  • Working professional with any Graduation Degree with min 60% marks.

Course Title : Emotional and social intelligence for harnessing meaningful interaction at the workplace

Duration: 30 hours

Mode of Delivery: Offline

Course Coordinator: Prof. Anuja Dayal , Prof Tanveer Qureshi

Course Objectives:

Emotional intelligence is expected to be the most in-demand power skill in workplaces acrosssectors and industries by 2024. This certificate offers an extraordinary opportunity to spend some quality time with yourself to assess your current level of soft skills, clearly KEY TAKEAWAYS: define your core self, and build soft skills which are essential to professional, not to mention life, success. If you aren’t sure or just want to brush up on this critical skill, this course is for you.

Key TakeAways:

1 Understand the five components of Emotional Intelligence: self-awareness, self- regulation, motivation, empathy, and social skills.
2 Develop emotional self-awareness and apply techniques to manage emotions in high- stress environments.
3 Build strong empathic and socially intelligent relationships in personal and professional spheres.
4 Enhance interpersonal communication, active listening, and conflict resolution using EI principles.
5 Apply NLP-based techniques to modify emotional states, decode non-verbal cues, and influence communication outcomes.
6 Cultivate a growth mindset, emotional resilience, and psychological safety in group interactions.

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MODULE

1: Foundations of Emotional Intelligence

  • Understanding EQ vs IQ
  • Goleman’s EI model
  • Understanding Core components of EQ -Self-awareness, Self regulation, Motivation, Empathy, Social Skills

2: Deep Dive into Self-Awareness

  • Emotional triggers and patterns
  • Values and beliefs mapping
  • Daily self-reflection techniques (Journaling, mindfulness)
  • Johari Window & 360° feedback
  • Emotional hijacking and the amygdal

3: Developing Empathy, Social Intelligence and Relationship Management

  • Types of empathy (cognitive, emotional, compassionate)
  • Listening beyond words: active & reflective listening
  • Empathy in diverse and virtual teams
  • Reading social cues & non-verbal intelligence
  • Building rapport and trust
  • Influence without authority
  • Social intuition and leadership presence

4: Conflict Resolution and Emotional Regulation

  • Sources of interpersonal conflict
  • Styles of conflict resolution (Thomas-Kilmann model)
  • Emotional detachment and re-centering techniques
  • Understanding the Concept of The Drama Triangle

5: Applied NLP for Emotional & Social Intelligence

  • Introduction to NLP: Origins, principles & relevance
  • Neurological Insights into Human Experiences
  • NLP Techniques, NLP State, and Basis of Human Response
  • NLP Communication Skills and Language Patterns
  • Anchoring positive states, Reframing thoughts
  • NLP Strategies for Increasing Self-Effectiveness

Course Delivery Methods:

  • Introduction to NLP: Origins, principles & relevance
  • Neurological Insights into Human Experiences
  • NLP Techniques, NLP State, and Basis of Human Response
  • NLP Communication Skills and Language Patterns
  • Anchoring positive states, Reframing thoughts
  • NLP Strategies for Increasing Self-Effectiveness

Course Assessment:

After the Completion of the course, all registered participants have
to appear for 50 50-mark MCQ-based examination. All students have
to score a minimum of 50% marks to earn the certification

Course Title : six sigma for project management

Duration: 30 hours, 3 months course saturday

Mode of Delivery: Offline

Course Coordinator: Prof Jwalakrishna Joshi, Prof. Saikrishna Vaidya

Course Objectives:

This course aims to develop Six Sigma expertise in project management by equipping students with statistical tools, DMAIC methodology, process improvement techniques, and quality management skills. It bridges theoretical Six Sigma concepts with practical project management applications through hands-on exercises, real-world case studies, and field exposure to prepare students for leading process improvement initiatives and delivering measurable business value in project environments.

Key TakeAways:

By the end of this course, students will be able to apply DMAIC methodology to identify, analyze, and solve project-related quality issues in a systematic manner. They will be able to utilize statistical tools and techniques for data-driven decision making and process capability assessment. Students will develop skills to design and implement control systems for sustaining process improvements with appropriate monitoring mechanisms. They will master project charter development, stakeholder management, and change management techniques while also gaining expertise in calculating ROI and presenting the financial impact of Six Sigma improvements. Ultimately, students will be capable of leading cross-functional teams and executing end-to-end process improvement projects, thereby bridging statistical analysis with practical project management application.

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MODULE

1: Six Sigma Foundations & Project Integration

  • What is Six Sigma methodology?
  • How to understand DMAIC vs DMADV?
  • How to integrate with project management?
  • How to define Six Sigma roles and responsibilities?
  • How to develop project charter?
  • How to establish team dynamics?
  • How to implement change management?

2: Define Phase - Project Initiation

  • Problem identification and scoping techniques
  • Voice of Customer (VOC) analysis
  • Critical to Quality (CTQ) trees development
  • Stakeholder analysis and engagement
  • Current state assessment methods
  • Goal setting and success criteria definition
  • Project approval and governance structure

3: Measure Phase - Data Collection & Analysis

  • Data collection strategy and planning
  • Statistical foundations for project management
  • Process capability analysis (Cp, Cpk)
  • Measurement System Analysis (MSA)
  • Control charts and statistical process control
  • Baseline establishment and benchmarking • Performance dashboard creation

4: Analyze Phase - Root Cause Analysis & Problem Solving

  • Root cause analysis techniques (5 Whys, Fishbone)
  • Failure Mode and Effects Analysis (FMEA)
  • Statistical analysis and hypothesis testing
  • Regression analysis and correlation studies
  • Design of Experiments (DOE) fundamentals
  • Pareto analysis and prioritization
  • Process mapping and value stream analysis

5: Improve & Control Phases - Solution Implementation & Sustainability

  • Solution generation and evaluation methods
  • Pilot testing and validation techniques
  • Implementation planning and execution
  • Control plan development and monitoring
  • Statistical Process Control (SPC) implementation
  • Sustainability and continuous improvement
  • Benefits realization and project closure

Pedagogy:

  • Classroom Sessions
  • Field Visits
  • Case Studies
  • Hands-on Statistical Software Training
  • Project Simulations
  • Group Exercises

Eligibility:

  • Any student pursuing Graduation/Masters with a good academic record
  • Working professional with any Graduation Degree with min 60% marks
  • Basic understanding of project management concepts preferred

Course Assessment:

  • Case Study Project (40%)
  • Module Assessments (25%)
  • Practical Exercises (20%)
  • Final Presentation (15%)
  • Minimum 80% attendance required
  • 70% passing grade for certification

Course Title : accounting and taxation for non-commerce grads

Duration: 30 hours, saturday

Mode of Delivery: Offline

Course Coordinator: Prof. Sonalee Telang, Dr. Hiral Dalavaniya

Course Objectives:

The Certification Course in Accounting and Taxation for Beginners is designed to introduce the foundational concepts, frameworks, and strategic relevance of accounting and taxation in personal financial planning.

 

This program focuses on the conceptual understanding of basic accounting concepts and basic personal taxation. Through case examples, and theoretical frameworks, learners will gain the knowledge to apply in day-to-day life.

Course Outcomes:

1. Learn to record and classify business transactions, understanding the accounting cycle, preparing financial statements
2. To understand the Accounting System
3. To enable the students to identify the basic concepts, definitions and terms related to Income Tax.
4. Students would identify the technical terms related to Income Tax.
5. To enable the students to determine the residential status of an individual and scope of total income.
6. To understand cost behaviour, using costing techniques, and applying them to areas like budgeting, performance evaluation, and
profitability analysis.

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Level 1

Financial Literacy

Teach basic financial concepts, such as budgeting,
saving, and investing.

Accounting Fundamentals

Introduce students to basic accounting principles, including financial statements, assets, liabilities, and equity.

Book-keeping Essentials

Teach students how to record and manage financial transactions.

Level 2

Taxation Basis

Introduce students to individual and business taxation, including tax planning and compliance.

Financial Accounting Analysis

Teach students how to analyze and interpret financial statements.

Cost Accounting

Introduce students to cost accounting concepts, including cost classification, allocation, and control.

Assessment Method

  • Through Quiz
  • Case study
  • Project/Presentation

Course Title : financial analytics and financial modeling using excel

Duration: saturday

Mode of Delivery: Offline

Course Coordinator: Prof. Pushpak Deshpande

Course Objectives:

This course aims to equip participants with practical financial analytical skills using Microsoft Excel. Learners will develop the ability to transform raw financial data into meaningful insights, build automated financial models, analyze company performance using ratios, evaluate investment decisions, and create professional dashboards used by Financial Analysts, FP&A Analysts, and Credit Analysts.

 

The program focuses entirely on hands-on training using real business datasets to simulate real corporate scenarios.

Course Outcomes:

This course aims to equip participants with practical financial analytical skills using Microsoft Excel. Learners will develop the ability to transform raw financial data into meaningful insights, build automated financial models, analyze company performance using ratios, evaluate investment decisions, and create professional dashboards used by Financial Analysts, FP&A Analysts, and Credit Analysts.

 

The program focuses entirely on hands-on training using real business datasets to simulate real corporate scenarios.

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MODULE 1 - Financial Data Handling in Excel

  • Understanding financial datasets (transactions, statements)
  • Data cleaning & structuring
  • Lookup functions (XLOOKUP, INDEX-MATCH)
  • Conditional formatting & data validation
  • Expense analysis & contribution percentages

MODULE 2 - Automated Financial Statements

  • Chart of accounts mapping
  • Dynamic Income Statement
  • Balance Sheet automation
  • Cash Flow statement (Indirect Method)
  • Working capital understanding
  • Basic profitability & liquidity ratios

MODULE 3 - Financial Performance & Ratio Analytics

  • Profitability Ratios (Gross Margin, Net Margin, ROA, ROE)
  • Liquidity Ratios (Current, Quick, Cash)
  • Efficiency Ratios (Inventory, Receivable, Payable Days)
  • Solvency Ratios (Debt-Equity, Interest Coverage)
  • Company health scoring model

Requirment

  • Laptop Mandatory

MODULE 4 - Investment & Financial Decision Making

  • Time Value of Money (PV, FV, PMT)
  • NPV & IRR analysis
  • Loan amortization & EMI analysis
  • Credit approval model
  • Business valuation (DCF model)
  • Sensitivity & scenario analysis

MODULE 5 - Financial Dashboard & Reporting

  • PivotTables & Slicers
  • KPI dashboards
  • Automated reporting 
  • Executive financial storytelling
  • Final Capstone: CFO Dashboard Project

Pedagogy:

  • Classroom Training
  • Practical Lab Sessions
  • Real Company Case Studies
  • Industry-Style Projects
  • Capstone Portfolio Development

Eligibility:

  • Students pursuing Graduation / Masters (Commerce,
    Management, Engineering, Economics)
  • Working professionals (Accounts, Finance, Banking, MIS, Data roles)
  • Entrepreneurs & Business Owners