Executive Development Programme in Advertising Technology & Data Science

Name: Executive Development Programme in Advertising Technology & Data Science
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The Executive Development Programme in Advertising Technology & Data Science is a certificate course designed to bridge the gap between advertising and data science. This programme emphasizes the importance of data-driven decision-making in advertising, addressing industry demand for professionals who can leverage data to drive business growth.

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AboutThisCourse

Through this course, learners will gain essential skills in data analysis, machine learning, and AI algorithms, enabling them to optimize advertising campaigns and maximize ROI. Learners will also explore the latest advertising technologies and trends, providing them with a comprehensive understanding of the digital advertising landscape. By completing this programme, learners will be equipped with the skills and knowledge necessary to advance their careers in advertising, marketing, or data science. They will be able to apply data-driven insights to advertising strategy, making them valuable assets to any organization seeking to leverage data to drive business success.

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CourseDetails

• Fundamentals of Advertising Technology: Understanding the ad tech landscape, programmatic advertising, real-time bidding, ad exchanges, and demand-side platforms.
• Data Science Foundation: Data analysis, statistics, machine learning, predictive modeling, and data visualization.
• Marketing Analytics: Marketing mix modeling, attribution modeling, customer lifetime value, and marketing ROI calculations.
• Ad Tech & Data Science Applications: Audience targeting, cross-device tracking, real-time personalization, and A/B testing.
• Data Management Platforms (DMPs): Data collection, segmentation, activation, and measurement.
• Privacy, Ethics, and Compliance: Adtech regulations, data privacy, and ethical considerations in data-driven advertising.
• Emerging Trends in Advertising Technology: AI in advertising, voice search optimization, multi-sensory advertising, and immersive technologies.

CareerPath

In the ever-evolving landscape of advertising technology (adtech) and data science, it's crucial to understand the different roles and opportunities available. A 3D pie chart can help visualize the distribution of these roles based on job market trends, salary ranges, and skill demand in the UK. The **Data Scientist in Adtech** role takes up 30% of the market, showcasing the increasing importance of data analysis and machine learning in the adtech industry. **Advertising Technology Manager** (25%) and **Adtech & Data Science Consultant** (20%) positions are also in high demand, as businesses seek professionals who can bridge the gap between adtech and data science. Meanwhile, **Adtech Data Analyst** (15%) and **Advertising Technology Engineer** (10%) roles provide opportunities for specialists to delve deep into adtech systems and data analytics, ensuring the optimal performance and targeting capabilities of advertising campaigns. Staying informed about the adtech and data science landscape allows professionals and aspiring professionals to make informed decisions about their career paths and capitalize on emerging trends.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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EXECUTIVE DEVELOPMENT PROGRAMME IN ADVERTISING TECHNOLOGY & DATA SCIENCE

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London School of International Business (LSIB)

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05 May 2025

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