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Data Analytics Professional Master

The Data Analytics Professional Master programme features BSBI’s unique teaching model. The programme includes a new module, Internship, which aims to build a bridge between education and industry. 

BSBI is constantly striving to bring new opportunities and challenges to its students.

As a truly global institution, BSBI is constantly striving to bring new opportunities and challenges to it students. Our mission is to help you grow in your studies and career whilst introducing you to the flourishing business world.

Programme Overview

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Modules

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Key Programme Information

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Entry Requirements

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Programme Overview

The Berlin School of Business and Innovation (BSBI) is currently in the process of certification with CUALIFICAM to offer a Data Analytics Professional Master programme that reflects BSBI’s standards of excellence in education, innovation, commitment and inclusion. 

CUALIFICAM is the certification procedure established by the Fundación para el Conocimiento Madrimasd to assess and ensure the quality of Professional Master’s programmes conducted in accordance with the rigorous quality standards of the European Higher Education Area. 

BSBI has proudly joined the AEEN (Asociación Española de Escuelas de Negocios), and the European Union of Private Higher Education (EUPHE). 

If you are interested to apply for the Digital Marketing Professional Master programme,
please send a message to BSBIpro@berlinsbi.com.

This programme provides students with key knowledge to pursue data analytics careers and helps them develop the skills and confidence to pursue their entrepreneurial dreams. 

This programme is designed for ambitious individuals aiming to excel and progress in various career paths. 

Modules

All core modules carry 10 ECTS each, except for the Internship module which carries 12 ECTS and the dissertation which carries 18 ECTS.

NEW in 2025: BSBI is launching the Internship.

  • Fundamentals of Data Analytics 
  • Predictive Analytics and Machine Learning using Python 
  • Enterprise Data Warehouse and Database Management Systems 
  • Big Data Analytics 
  • Visualisation and Story Telling using Tableau 
  • Computer Vision and Artificial Intelligence 
  • Internship
  • Dissertation

Mandatory Internship Module

During your studies at BSBI, you will undertake an integrated practical internship in the third term of your programme. During this time, you will take the first steps towards your desired field of work and have the opportunity to reflect on your projected career path.

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Learning Outcomes

  • Provide conceptual frameworks for data analytics that draw insights from academic research into the challenges of contemporary technical, management and business practice in areas like business analytics, machine learning, artificial intelligence, natural language processing, computer vision and visualisation. 
  • Enable students to synthesise and critically examine the opportunities and threats posed by globalisation and business innovation in the business analytics industry and how historical and contemporary frameworks provide insight into the future of the business analytics industry. 
  • Highlight the complexity of the emergent organisational context of data analytics industries for both international and national settings, as well as organisations of all sizes. 
  • To offer students an integrated approach to the study of data analytics in international industries that emphasises the interdependence between some of the core disciplines and practices of technology and management. 
  • Enable students to excel in a professional and managerial environment, having developed existing knowledge of fundamental concepts and skills while developing new ones. 
  • Prepare students for high-level autonomous graduate employment, research, further study and lifelong learning by developing intellectual, practical and transferable skills. 

Career Progression

Here are some popular data analytics careers:

  • Data Scientist 
  • AI Scientist 
  • Customer Insights Analyst 
  • Quantitative Risk Analyst 
  • Market Risk Analyst 
  • Security Engineer 
Visit the Careers Service website.

Minimum age: 21

Academic qualifications: Strong undergraduate degree from a recognised university.

If you do not meet the academic requirements, you may be assessed on relevant work experience. You must have at least 3 years of management experience.

Credit recognition is available for:

  1. Professional experience
  2. Credits from other professional master’s programmes with CUALIFICAM certification
  3. Credits from official or accredited university master’s degrees and business schools.

The maximum recognised credits will not exceed 60 ECTS for a 90 ECTS programme.

Application Process: Applicants must indicate their desire for credit recognition when applying for admission and provide documentary evidence for credits earned in other recognised programmes or professional work experience.

Credit Recognition Committee: The equivalence of credits is determined by the Credit Recognition Committee, which includes the Dean, a faculty member familiar with the programme, and representatives from the Registrar and Admission Office. The committee’s decision is notified by the Registrar’s office.

Delivery: Blended (on campus and online)

Units: 90ECTs