Short Course in Data Science and Artificial Intelligence in Marketing
Online
DURATION
7 Weeks
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 630
STUDY FORMAT
Distance Learning
Key Summary
Introduction
Gain cutting-edge skills to revolutionize marketing strategies with data-driven insights and AI innovations. Our comprehensive course covers the dynamic intersection of data science, AI, and marketing, equipping you to elevate customer experiences and drive success in today’s business landscape.
In today’s rapidly evolving business landscape, the synergy between data science, artificial intelligence, and marketing strategies has emerged as a pivotal driver of success. Our Master Course in Data Science and AI in Marketing is designed to equip students with the advanced knowledge and skills necessary to navigate this dynamic intersection. This comprehensive program delves into the cutting-edge techniques that harness the power of data-driven insights and AI-driven innovations to revolutionize marketing decision-making and elevate the customer experience.
This master course is a deep dive into the fusion of data science, artificial intelligence, and marketing, offering a holistic understanding of how these domains converge to reshape the marketing landscape. Students will explore a range of topics that form the core of this transformative discipline.
Need to Know
- Start dates – Anytime
- Recommended Duration – 7 weeks
- Language - 100% English instruction
- Study mode – Self-Paced Learning - 100% Online
- Format – Pre-recordings, online tests, and assessments
- Certification – Professional Certification (Certificate of Achievement)
Certificate of Achievement
An ESEI Certificate of Achievement is a formal acknowledgement awarded by ESEI International Business School to individuals who have completed a specific course or training program. This certificate signifies the recipient's dedication, effort, and proficiency in the subject matter, recognizing their commitment to excellence and the advanced skills acquired during their studies. It serves as a valuable credential for enhancing career prospects and demonstrating expertise in the field.
Admissions
Curriculum
Data-Driven Marketing Foundation
Understand the fundamentals of data collection, storage, and management as they relate to marketing initiatives. Explore techniques to ethically source, handle, and protect customer data.
Data Preprocessing for Marketing Insights
Delve into the art of transforming raw data into actionable insights. Learn techniques for cleaning, structuring, and preparing data for analysis.
Predictive Modeling for Marketing
Discover the power of predictive analytics in anticipating customer behaviour and trends. Master the skills required to build accurate models that inform strategic marketing decisions.
AI-Powered Recommendation Systems
Explore the mechanics behind recommendation engines, a hallmark of modern marketing strategies. Learn to develop personalized and effective recommendation systems that enhance customer engagement and loyalty.
Optimizing Marketing Strategies
Dive into the realm of marketing optimization through AI. Understand how to leverage algorithms to fine-tune campaigns, allocate resources efficiently, and maximize returns on marketing investments.
Ethics and Privacy in AI Marketing
Grasp the ethical implications of using AI and data in marketing contexts. Examine privacy concerns, data security, and the responsible use of AI-powered tools.
Assessment
Project-Based Learning Methodology at ESEI
ESEI employs a project-based learning and assessment methodology across all modules taught in our master programmes. This innovative approach means students collaborate in groups to develop projects that demand creativity, teamwork, and problem-solving abilities.
The Advantages of Project-Based Learning
The primary advantage of this method is that by the time students graduate, they will have compiled a portfolio of work. This portfolio will be directly relevant to their future roles as employees or business owners, showcasing their hands-on experience and skills.
Project Format and Teacher Involvement
Project formats vary and are at the discretion of the instructor. Projects can be case studies, written reports, videos, role-playing activities, podcasts, or any other medium that effectively communicates the students’ ideas. Teachers are responsible for creating project briefs and monitoring team progress with regular updates and check-ins.
Assessment Criteria
- Group Project Submission (40%)
- Individual Project Submission (20%)
- Group Presentation of the Project and Q&A (20%)
Projects will be evaluated based on group and individual contributions, as well as the presentation and subsequent Q&A session, highlighting the importance of collective and personal efforts in achieving project objectives.
- Class Participation (20%)
A significant portion of the grade, 20%, is determined by students’ engagement and participation in class, reflecting the value placed on active involvement and contribution to the learning environment.