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Students
Tuition Fee
EUR 22,995
Per course
Start Date
2025-08-28
Medium of studying
On campus
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Business Administration | Data Analysis | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 22,995
Intakes
Program start dateApplication deadline
2025-08-28-
About Program

Program Overview


Master of Business Administration

Big Data Analytics


Introduction

The part-time Master of Business Administration with a specialization in Big Data Analytics. The Hague University of Applied Sciences Pro offers a balanced combination of business administration and big data analysis.


Aligned with our core values, this master's program has an international focus. You will gain a deep understanding of (international) collaboration. Social and societal responsibility is an aspect that are is consistently addressed throughout the master's programme. This MBA offers three specific elective modules that allow you to specialize in big data.


During this full-time program, you will learn to recognize and evaluate large amounts of data. You will acquire the skills to draw valid conclusions based on your analysis using modern analytical techniques. The organization you work for can improve its performance in areas such as development, marketing, finance, and HRM based on these conclusions. Throughout the master's program, you will be involved in several cases that bridge the gap between theory and practice, in which you, as an expert, will provide added value. Like many other programs at The Hague University of Applied Sciences Pro, we place great importance on connecting with the job market. In your final master's thesis, you will work on a project.


You are a professional at the HBO or academic level. After completing your education, you have already made your mark in the business world, at an organization, or in a government institution. You have a clear affinity for quantitative (numerical) analysis. On one hand, you have a growing interest in business processes and their management. On the other hand, you are also curious about how data analysis can influence these processes. In fact, within your organization, you want to take the lead by translating all available data into useful information as effectively as possible. The MBA program, specialization in Big Data Analytics, provides you with all the tools you need to achieve that.


Admission Requirements

  • Bachelor degree
  • Final transcript
  • English level test score (IELTS minimum score of 6.0 on every sub score and an overall minimum score of 6.0; or equivalent test)
  • A minimum of 2 years relevant professional work experience (MBA BDA PT and FT)
  • Mandatory intake interview
  • Motivation Statement
  • Recommendation letter
  • Resumé / Curriculum Vitae

Why this Program?

You want to pursue a high-quality MBA program while combining it with your interest in big data. More and more organizations have a need for effective big data analysis. With this program, you will provide significant added value to companies.


The knowledge you gain will only become more relevant in the future.


The three core courses within Big Data will be taught in English as the standard language of instruction. Data centers worldwide receive enormous amounts of data per second, data that can be of great interest to businesses. But how do you analyze that big data? The number of experts in this field is much lower than the demand for such specialists. This master's program is highly practical. Throughout your studies, you will work on various cases and assist organizations in solving business problems related to big data analysis. This Master of Business Administration provides you with the opportunity to specialize in big data analytics. The program has a strong multidisciplinary character.


Your Investment

  • Part-time
  • Start date: 2 September 2025
  • Duration: 24 months (part-time)
  • Classes: Tuesday evenings (18:00 – 21:00) and Thursday evenings (18.00-21.00). Some lectures may be scheduled on Tuesday afternoons (14:00 – 17:00).
  • Self-study: 10 to 12 hours per week
  • Time commitment: 16 to 18 hours per week
  • Costs in one payment: € 22,995
  • Costs in instalments: € 23,495
  • Book expenses: € 1,000

Programme Content

In the master Big Data Analytics, the following modules will be taught:


Big Data for Businesses

Big Data for Businesses is a comprehensive module that covers essential aspects for integrating Big Data into the daily operations of your organization. The first session provides an introduction to data science algorithms, exploring both the possibilities and challenges. Subsequent sessions delve deeper into key topics such as databases, SQL, data lakes, and cloud platforms, tracking the evolution of Big Data techniques. The module also covers Business Intelligence, emphasizing asking the right questions for actionable insights. Discussions include Data Privacy, ethics, Explainable AI (XAI), effective team collaboration, and data-based strategies. The final session explores cutting-edge developments in Data and AI, such as Generative AI and Graph Machine Learning, providing insights into recent advancements.


Programming with R

Programming with R is a dynamic course designed to equip participants with essential skills in R programming for effective data analysis and visualization. Throughout the program, participants explore fundamental principles and master the art of coding and data manipulation. The curriculum covers topics such as data structures and functions. Participants gain hands-on experience in developing R scripts, creating visualizations, and solving real-world problems. By the end of the course, individuals not only have a strong command of the R programming language but also can apply their skills in various domains, becoming skilled and confident R programmers.


Machine Learning

The Machine Learning Module guides participants through the intricate landscape of machine learning. From understanding fundamental concepts to practical applications, this module equips participants with the knowledge and skills needed to effectively use machine learning algorithms. Participants delve into areas such as supervised and unsupervised learning, feature engineering, model evaluation, and ensemble methods. The course integrates practical exercises with popular machine learning frameworks and promotes a deep understanding of applying machine learning techniques to real scenarios. By the end of the module, participants will have a solid foundation in machine learning, enabling them to design and implement solutions for diverse challenges.


Modules Year 1 and 2

  • Leadership and Organisation
  • Strategy
  • Big Data for Business
  • Financial and Management Accounting
  • Marketing
  • Programming with R
  • Operations Management
  • Machine Learning
  • Business Intelligence
  • Consultancy Project
  • Business Research Methodology

Testimonials from Our Lecturers

Our lecturers make a quick introduction and tell you more about the degree programme and the classes that they teach.


Programme Manager

Florence Akebe


"We take pride in offering the Master of Business Administration, which integrates cutting-edge innovations and global developments in the business landscape. Students are prepared to be global citizens, ready to make meaningful contributions to a sustainable and equitable world in their careers.


Each track within the MBA and MFMC programs includes a focus on Leadership & Organization, as well as Business Research Methodology, along with a Master portfolio and thesis. Students participate in Learning Communities that foster peer feedback, forward-thinking, and critical reflection. There are numerous opportunities for interaction between lecturers and students, enabling instructors to provide more personalized attention to each student."


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