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AI-Powered Digital Marketing & Growth Analytics
Bachelor’s in AI-Powered Digital Marketing & Growth Analytics

Earned

Bachelor Degree

Accreditation

IES

Duration

3 years (180 ECTS)

Course fee

8,780€ / per year

This program bridges the gap between creative marketing strategy and advanced data science, equipping graduates with the technical and analytical skills to drive growth in digital environments. The curriculum emphasizes hands-on experience with AI tools, marketing automation platforms, and predictive analytics, ensuring graduates are ready to lead in the AI-first economy.

Key Learning Areas

  • The curriculum is structured around four core pillars:
  • AI & Machine Learning for Marketing: Focuses on generative AI, natural language processing (NLP), predictive analytics, and machine learning applications in marketing contexts.
  • Digital Marketing Strategy & Execution: Covers omnichannel marketing, content strategy, SEO/SEM, social media, and performance marketing in a digital-first landscape.
  • Growth Analytics & Data Science: Emphasizes data visualization, web/mobile analytics, A/B testing, and statistical analysis to drive customer acquisition and retention.
  • Consumer Behavior & Digital Experience: Examines the digital customer journey, user experience (UX) design, and the psychology of online consumer behavior.

Career and Professional Development

Graduates are equipped for high-demand roles at the intersection of marketing, technology, and data science. The program aligns with ESCO skills for digital marketing specialists, data analysts, and AI prompt engineers.

Primary Career Paths

  • AI Marketing Strategist: Designing and implementing marketing strategies that leverage generative AI and machine learning for personalization and automation.
  • Growth Marketing Manager: Leading data-driven customer acquisition and retention efforts through experimentation, A/B testing, and performance optimization.
  • Digital Marketing Analyst: Analyzing campaign performance, customer behavior, and market trends to provide actionable insights for strategic decision-making.
  • Marketing Automation Specialist: Managing and optimizing CRM systems, email marketing workflows, and automated customer journeys.
  • SEO & Content AI Specialist: Utilizing AI tools for advanced keyword research, content creation, and technical SEO to drive organic growth.
 

Professional Skills Development

The curriculum explicitly targets the following professional competencies:

  • AI-First Mindset: Proficiency in using AI tools for content creation, data analysis, and strategic planning, including prompt engineering and AI ethics.fhnw+1
  • Data Fluency: Ability to collect, analyze, and visualize data using Python, R, and BI tools to drive marketing decisions.
  • Omnichannel Execution: Expertise in managing integrated marketing campaigns across web, social, search, and email channels.
  • Strategic Agility: Capacity to adapt quickly to new technologies, platforms, and market trends in the fast-paced digital landscape.

Program Learning Outcomes

Aligned with EQF Level 6 and Bologna Process standards, graduates will demonstrate:

Knowledge & Understanding

  • Advanced AI Knowledge: Understand the disruptive changes AI brings to digital marketing, including the limitations and framework conditions of AI applications.
  • Strategic Marketing Context: Demonstrate a critical understanding of global marketing strategies, ethics, and social responsibility in the contemporary digital world. 
  • Data-Driven Insights: Comprehend the theoretical foundations of marketing analytics, including causal inference and the social implications of data-driven decision-making.

 

Skills & Competence

  • AI Tool Proficiency: Use advanced AI tools for content creation (text, image, video), social network analysis, and marketing automation.
  • Analytical Skills: Apply programming languages (Python, R) and statistical methods to collect, clean, analyze, and visualize marketing data for strategic insights.
  • Strategic Execution: Design, launch, and optimize digital campaigns across multiple channels, focusing on measurable performance and ROI.
  • Technical Implementation: Develop and optimize websites, landing pages, and e-commerce platforms using no-code/low-code tools and SEO best practices.

Responsibility & Autonomy

  • Ethical AI Use: Critically evaluate the ethical and legal aspects of AI in marketing, ensuring responsible and compliant use of data and algorithms.
  • Project Management: Manage complex marketing projects, taking responsibility for decision-making in unpredictable and fast-paced digital environments.
  • Continuous Innovation: Demonstrate adaptability and a commitment to continuous learning in the rapidly evolving landscape of AI and digital marketing.

Additional Digital Certifications/Badge

  • AB 900: Microsoft 365 Copilot & Agent Administration Fundamentals
  • Digital Marketing Strategy for Instagram, WhatsApp & Facebook
  • INF-202: Data Analytics (Information Technology Institute)
  • INF-307: Artificial Intelligence
  • Introduction to Modern AI
  • Introduction to Data Science
  • Entrepreneurship & Small Business
  • AI-900: Microsoft Azure AI Fundamentals

Course Fee: 12,870€

  • Application Fee: 190€ (Due Immediately & Non-Refundable)
  • Tuition Fee per year: 8,780€ (Tuition Fee due every year)
  • Total fee: 26,340€

Installment: Special payment arrangements are allowed with scheduled payment due dates. Please ask for the current course brochure for more information.

No published installment plan for this program. Please inquire directly.

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