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Marketing Science and Data Analytics Programme

A cutting-edge programme designed to transform marketing professionals into data-driven strategists, combining advanced analytical techniques with strategic marketing insights.

Instructor

BMA

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Programme Overview

A cutting-edge programme designed to transform marketing professionals into data-driven strategists, combining advanced analytical techniques with strategic marketing insights.

Programme Synopsis

This intensive two-day programme provides a comprehensive exploration of marketing science, equipping participants with the skills to leverage data analytics for superior marketing decision-making and strategic planning.

Who Should Apply

Brand Managers
Marketing Managers
Product Managers
Insight Managers
Marketing Analytics Professionals
Digital Marketing Specialists
Business Intelligence Professionals
Marketing Strategy Leaders

Admission Criteria

Minimum of 2 years of marketing or data-related experience
Basic understanding of statistical concepts
Bachelor’s degree in Marketing, Business, Statistics, or related field
Strong analytical thinking skills
Intermediate computer literacy
Proficiency in English

Mode of Delivery

Live Hybrid Learning
- In-person sessions at BLIM Place
- Simultaneous online streaming
- Interactive workshops
- Hands-on data analysis sessions
- Expert-led discussions
- Recorded sessions for review

Unique Selling Propositions

Comprehensive marketing analytics training
Practical, implementation-focused learning
Led by industry data experts
Hands-on analytical skill development
Real-world case study integration
Cutting-edge marketing science insights

Investment

Programme Fee: ₦355,000
Includes:
- Full programme access
- Comprehensive course materials
- Lunch and refreshments
- Certificate of completion
- Post-programme analytics support

Curriculum Breakdown

Q1: Do I need advanced mathematical skills?

A: Basic statistical understanding is helpful. The programme is designed to be accessible to marketing professionals with varying analytical backgrounds.

Q2: What software will be used?

A: The programme covers Excel, basic R, and Python. No prior programming experience is required.

Q3: Will I get individual feedback?

A: Yes, participants receive personalized feedback during workshops and product development projects.

Q4: What technology do I need?

A:
- Laptop
- Strong internet connection
- Basic understanding of digital tools

Q5: What post-programme support is available?

A:
- Follow-up mentorship session
- Product management resource access
- Alumni network connection

Mode of Delivery