Executive Certificate Programme in Advanced Marketing Analytics & Management

IIM Mumbai

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  • Executive Certificate Programme in Advanced Marketing Analytics & Management – IIM Mumbai
Course Duration
6 Months
Mode
Live Online
Commencement Date
To Be Decided
Admission Closure Date
To Be Decided
Session Timings
Friday, 6.30 pm to 9.30 pm IST

Programme Overview

The Marketing Analytics Global Certification Course is meticulously crafted to empower participants with a diverse set of analytical skills essential for robust marketing analyze data and make data-driven decisions. This comprehensive programme seamlessly integrates theoretical concepts with immersive hands-on exercises and real-world case studies, offering participants a holistic understanding of marketing analytics techniques.

Throughout the course, participants will engage in practical exercises, hands-on assignments, and quizzes, reinforcing their mastery of key concepts.

Programme Highlights

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Executive Alumni Status from IIM Mumbai

certificate

Certificate of Completion - IIM Mumbai

2.5 Days On-Campus Immersion

1 Day Campus Immersion at IIM Mumbai Campus (Interaction with Faculty and Industry visit)

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Case studies driven learning

Eligibility Criteria

  • Any Graduate having an inclination towards analytics, marketing and sales.

Admission Criteria

  • Selections will be based on a detailed Profile of Candidate and statement of purpose.

Syllabus Breakdown

Introduction to Marketing Analytics

Data Collection, Management, and Analysis

Segmentation, Targeting & Positioning

Marketing Mix Modeling & Attribution

New Product Development and Forecasting

Digital Marketing Analytics

Customer Journey Analytics

Predictive Analytics in Marketing

Sentiment Analysis & Brand Reputation Management

Emerging Trends & Future Directions in Marketing Analytics

Live and Interactive Lectures
Online Lecture
20+ Case Studies and Projects2
Case Based Pedagogy
  • Understanding the role of marketing analytics in decision-making
  • Key concepts and terminology in marketing analytics
  • Overview of the marketing analytics process
  • Identifying relevant data sources for marketing analytics
  • Marketing Data Collection and Data Discipline
    • Data collection methods and techniques
    • Data cleaning and preprocessing
    • Data integration and database management
  • Marketing Data and Visualization – Slicing, dicing, and summarizing data
    • Descriptive statistics and summary metrics
    • Identifying patterns and trends in marketing data
  • Customer profiling and segmentation techniques (K-Means Clustering)
  • Targeting strategies based on segmentation insights
  • Positioning (Perceptual and Positioning Maps)
  • Understanding the marketing mix and its components
  • Introduction to Market Response Models
  • Modeling for Advertising effectiveness (ADBUDG Model/Ad stock model)
  • Sales force optimization and management
  • ROI analysis and optimization
  • Multi-touch attribution modeling
  • New product development (Conjoint Analysis)
  • RFM technique for segmentation
  • Market Basket Analysis (MBA)
  • Demand Forecasting
  • Web analytics and tracking
  • Social media analytics
  • Search engine optimization (SEO) analytics
  • A/B testing and conversion rate optimization
  • Understanding the customer journey and touchpoints
  • Customer journey mapping and analysis
  • Analyzing customer interactions across multiple channels
  • Customer retention and churn analysis
  • Introduction to predictive modeling
  • Regression analysis for marketing predictions
  • Time series forecasting in marketing
  • Customer lifetime value modeling
  • Sentiment analysis techniques for social media and customer feedback
  • Extracting insights from customer reviews and sentiment data
  • Understanding customer emotions and satisfaction levels
  • Leveraging sentiment analysis for reputation management
  • Current trends in marketing analytics
  • The impact of artificial intelligence (AI) and machine learning (ML) on marketing analytics
  • Neuromarketing
  • Future directions in marketing analytics
Online Lecture
Case Based Teaching
Note : This is an indicative list of course topics and is subject to change as per IIM Mumbai’s discretion.
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About IIM MUMBAI

IIM Mumbai erstwhile known as NITIE established in 1963 by the Government of India with the assistance of the United Nations Development Project (UNDP) through the International Labour Organization (ILO), is one of the leading institutes for Management education. NITIE, a pioneer in Industrial Management, has been positioned 7th amongst management schools in India by the National Institutional Ranking Framework (NIRF) in 2023. NITIE, widely known as the leading Institute in Supply Chain and Operations, aims to advance transformative education and industry-inspired research in different domains, thus dedicating itself to helping Indian businesses to make their presence felt globally. The institute strongly links with private and public sectors, national research institutes, other academic institutions, universities, government organisations, and communities. NITIE is dedicated to helping Indian businesses to make their presence felt globally. NITIE has decided to act as a driving force in the manufacturing sector and all dynamic sectors of the Indian economy. It has aligned its vision and activities in line with the current and future needs of the Indian economy and its vibrant and growing sectors.

2nd Rank in THE Impact
Rankings (India) 2022

7th Rank in IIRF
Rankings 2023

7th Rank In Management
Category By NIRF
Rankings 2023

Programme Chair

Note: *The above list of faculty is partial.

Programme Certification

Participants who successfully meet the evaluation criteria and satisfy the requisite attendance criteria will be awarded a “Certification of Completion” provided by IIM Mumbai.

Programme Fee Details

Program Fee
Fee Structure
Application Fee
INR 1,000/-
Total Fee
(excluding application fees)
INR 1,50,000/- + GST
Instalment Pattern
Instalment Pattern
Instalment 1
INR 80,000/- + GST
7 days from release of offer letter
Instalment 2
INR 70,000/- + GST
  • Easy EMI Options Available*

Admission Process

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Profile Building

Rigorously building the candidate’s profiles and resume scrutinizing their LinkedIn profiles. Jaro Education enables personalised feedback to boost overall virtual presence.

Resume Review

Moving forward with carefully curated resume reviews that ensures you are interview-ready for the workplace of tomorrow.

Placement Assistance

Get career assistance as per the profile and preferences. On average, get 5-6 job recommendations to enhance quality employment opportunities.

Career Enhancement Sessions

Bridging connectivity to link the best talent with organizations through eminent sessions from top-class industry speakers.

 

Note: NITIE or Jaro Education do not guarantee or promise you a job or advancement in your existing position. Career Services is simply provided as a service to help you manage your career in a proactive manner. Jaro Education provides the Career Services described here. NITIE is not involved in any way with the Career Services described above and offer no commitments.

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Frequently Asked Questions
How is the course structured?

The course blends theoretical concepts with hands-on practical exercises and real-world case studies, providing a comprehensive understanding of marketing analytics techniques.

What can participants expect to gain by the end of the course?

Participants will understand the role of analytical techniques in marketing decision-making, acquire skills in collecting and analyzing marketing data using various tools, and gain proficiency in statistical and modeling techniques.

Which tools and software are covered in the course for marketing analytics?

The course covers the application of marketing analytics tools such as Excel, R Studio, Python, and more.

How will participants reinforce their learning during the course?

The course includes practical exercises, hands-on assignments, and quizzes to reinforce the concepts learned.

How long is the duration of the Marketing Analytics Global Certification Course?

The duration of the course is 6 months.

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