Arden in Berlin

Master of Science in Data Analytics & Marketing

You will learn how to use and analyze statistics, interpret and explain large datasets, and use this to take advantage of marketing opportunities. This course is relevant for those wanting to strive in today’s data-driven marketing landscape by turning analysis into useful insights and strategic business plans. This course is also appropriate for those wanting to gain an advanced understanding of marketing management and build a successful career in this sector.

1 year

  • February
  • April
  • June
  • September
  • November

You will study a diverse selection of specialist topics, as well as learning how to extract relevant information from large databases and use it to inform important business decisions. You will also gain the skills to devise and manage strategic marketing plans.

Modules

  • Strategic Management (30)
  • International Marketing
  • Mastering Metrics
  • Digital Strategy
  • Data Handling and Decision Making
  • Data Visualisation and Interpretation
  • Research Project

Tuition Fee

€12,000

Flexible Payment Plan for February Intake

Payment plans allow you to spread the costs of your program fees across three instalments. A deposit of €2,000 is required to start:

Instalment Amount
1st instalment €3,500
2nd instalment €3,500
3rd instalment €3,000

Flexible Payment Plan for the Other Intakes

Payment plans allow you to spread the costs of your program fees across three instalments. A deposit of €3,000 is required to start:

Instalment Amount
1st instalment €3,500
2nd instalment €3,500
3rd instalment €2,000
  • • 2:2 or above from a UK Bachelor’s degree, or equivalent qualifications from a recognized university.
  • English proficiency:
    * TOEFL – IBT: 94 (minimum of 22 in each band), computer-based: 240, paper-based: 587
    * IELTS: 6.5 (minimum of 6.0 in all areas)
    * Cambridge Proficiency Exam (CPE): A, B, C
    * Pearson Test of English (PTE): Minimum of 63

    Apply for this Master

    Date of birth:

    Intake :

    FebruaryAprilJuneSeptemberNovember