MBM (MSc) with specialisation in Data Analytics

In the information-driven era where data dictates decisions, the demand for skilled professionals who can interpret and leverage data has surged across all sectors. Recognising this critical need, Wittenborg offers a Master of Business and Management (MBM/MSc) with a specialisation in Data Analytics. This programme is designed for those who aspire to harness the power of data in driving business strategy and innovation.

Our MBM in Data Analytics merges rigorous business management principles with advanced analytical techniques, preparing students to become leaders in the field of data science. Delivered entirely in English, this programme attracts a diverse group of international students, providing a rich learning environment that mirrors the globalised nature of today’s business challenges.

The programme offers a comprehensive blend of theory and practical application. Students will explore core topics such as big data technologies, predictive analytics, machine learning, and statistical methods, coupled with foundational business courses in strategy, leadership, and decision-making.

This specialisation not only sharpens analytical skills but also enhances students’ ability to think strategically and manage large datasets to solve complex business problems. Through a combination of lectures, case studies, and hands-on projects, the programme equips students with the tools needed to effectively analyse data and transform insights into actionable strategies.

Graduates of the MBM in Data Analytics are well-prepared to take on pivotal roles in industries such as finance, marketing, consulting, and technology, where they can drive innovation and create sustainable competitive advantages for their organisations. They are equipped to handle complex analytical tasks, lead data-driven projects, and contribute to data-centric decision-making processes.

We invite applicants who have a background in fields such as business, mathematics, computer science, or engineering, to apply for this transformative programme. Join us at Wittenborg to advance your career and become a leader in the evolving field of data analytics, shaping the future with data-driven insights.

Year 1, Semester 1 

• Globalisation, Society & Culture
• Marketing Management
• Research Methods Introduction (Final Project)
• Micro & Macroeconomics - Global Perspectives
• Data Analytics & Visualisation
• Professional Inquiry
• Data Structure & Algorithms

Year 1, Semester 2

• Research Methods (Final Project)
• Artificial Intelligence in Business
• The World Economy
• Machine Learning 
• Financial & Strategic Management
• Project Module (3 Project Weeks, linked to Final Project)

Year 2 (1 Semester /Term)

• Professional-Based Learning
• Final Project

The data analytics industry is a cornerstone of the modern digital economy, driving innovation and efficiency across various sectors. As businesses and organisations generate vast amounts of data, the demand for skilled data analysts who can extract actionable insights has grown exponentially. This industry is characterised by its dynamic nature and its critical role in decision-making processes. Here, we explore the key components that define the data analytics industry today, setting the stage for Wittenborg’s specialised MBM (MSc) programme in Data Analytics.

1. Big Data and Advanced Analytics: The proliferation of big data has transformed the landscape of data analytics. Companies and organisations across industries leverage big data to gain a deeper understanding of their operations, customers, and markets. Advanced analytics techniques, including predictive analytics and machine learning, are employed to forecast trends, optimise operations, and enhance decision-making.

2. Business Intelligence: Business intelligence (BI) systems are integral to the data analytics industry. These systems combine data gathering, data storage, and knowledge management with analytical tools to present complex business and competitive information to planners and decision-makers. The objective is to allow for the easy interpretation of these big data, enhancing timely business decisions that are based on real, actionable insights.

3. Artificial Intelligence and Machine Learning: AI and machine learning continue to be at the forefront of data analytics, providing the tools to automate complex analytical tasks. These technologies are used to develop models that can predict outcomes based on historical data, leading to more efficient processes and personalised customer experiences.

4. Data Governance and Ethics: As data analytics becomes more integral to business strategies, issues of data governance and ethics gain prominence. This involves managing the availability, usability, integrity, and security of the data employed in enterprises. Additionally, with increasing scrutiny on data privacy, professionals in the industry must navigate complex legal and ethical frameworks.

5. Demand Across Sectors: The applications of data analytics span numerous sectors, including healthcare, finance, marketing, retail, and government. Each sector has unique needs, such as risk assessment in finance, patient data analysis in healthcare, customer behaviour prediction in retail, and policy analysis in government. This widespread use highlights the versatility and demand for data analytics skills.

6. Technological Advancements: Continuous technological advancements in data processing tools and platforms, such as Hadoop, Spark, and cloud-based analytics, provide the infrastructure needed to handle, process, and analyse large datasets more efficiently than ever before.

7. Skills Shortage: Despite its growth, the data analytics industry faces a significant skills gap. There is a high demand for professionals who not only possess technical skills in analytics but also understand how to apply these skills within business contexts to drive strategic decisions.

The MBM (MSc) with a specialisation in Data Analytics at Wittenborg prepares graduates to thrive in this dynamic field by equipping them with both the technical skills and the strategic insight needed to leverage data effectively. By integrating comprehensive business management education with cutting-edge data analysis training, the programme develops professionals capable of transforming data into a strategic asset. Join us to become a part of this vital industry, shaping your future as a leader in data analytics.

Graduates of the MBM (MSc) programme with a specialisation in Data Analytics from Wittenborg are well-equipped to embark on successful careers in a sector that is crucial to the modern digital economy. This advanced degree melds business management acumen with in-depth analytical skills, opening doors to a range of high-impact roles in various industries where data-driven decision-making is key. Here are several potential career paths for graduates:

1. Data Scientist: Often considered the quintessential role in data analytics, data scientists analyse and interpret complex digital data to help companies make more informed business decisions. They use a mixture of statistical rigour, complex data analysis, and their understanding of the business to develop insights, algorithms, and data-driven products.

2. Business Intelligence Analyst: These professionals use data analytics to enhance the profitability and efficiency of a business. By analysing data, visualising business trends and outcomes, and providing actionable insights, they assist companies in understanding their position within the marketplace.

3. Data Analytics Consultant: Specialists in this role advise organisations on the optimal ways to collect, analyse, and interpret data. They work across industries, helping to solve complex business problems and increase operational efficiency through data-driven strategies.

4. Quantitative Analyst: Typically employed in finance, quantitative analysts use statistical and mathematical models to inform financial and risk management decisions. They are particularly valuable in settings such as investment banks, hedge funds, and fintech companies.

5. Marketing Analyst: These analysts focus on analysing market conditions to examine potential sales of a product or service. They help businesses understand what products people want, who will buy them, and at what price. They use data analytics to gauge the effectiveness of marketing strategies and understand consumer behaviour.

6. Operations Analyst: Operations analysts use data analytics to optimise organisational efficiency and productivity. They work on a variety of projects, such as supply chain management, logistics, and process refinement.

7. HR Analytics Specialist: These professionals use data analysis techniques to solve HR problems, such as recruitment processes and performance evaluation. They help in predicting employee turnover, analysing job engagement levels, and optimising hiring practices to find the best candidates.

8. Chief Data Officer: In an executive role, a chief data officer oversees a range of data-related functions of a company, from data management to data analytics, ensuring that data is leveraged effectively across business units to support company goals.

9. Risk Management Analyst: These analysts use data to identify and analyse the areas of potential risk threatening the assets, earning capacity, or success of organisations in various industrial sectors.

10. Public Policy Analyst: Leveraging data for social good, these analysts work with government agencies or non-profits to evaluate, create, and implement policies based on comprehensive data analysis.

The MBM (MSc) with a specialisation in Data Analytics at Wittenborg not only prepares students for these roles but also equips them with a strategic outlook and leadership abilities to navigate the complexities of global markets. This comprehensive education opens up a breadth of opportunities for innovation and leadership, making our graduates highly sought after in the competitive field of data analytics.

The admission requirements (criteria) for the Master of Business Management programmes (all specialisations) are as follows:

• A bachelor's degree or equivalent recognised qualification:
  
  • ​Applicants are requested to provide an academic reference from their previous education institute.
  • It is necessary to have obtained a bachelor's degree from the domains of business, management, economics or trade. In their bachelor's degree applicants must have completed an academic piece of work (final project or dissertation) that demonstrates a degree of academic writing and research experience.
• No professional experience is required for these master's programmes.

English Language Requirements

IELTS 6.5 or TOEFL equivalent. Click here for an overview of the equivalent scores.
TOEFL Code of Wittenborg is 4889.

The English language proficiency level requirement is ½ a point higher than the minimum national requirements in the Netherlands.

Selection procedure

There is no specific selection criteria for students wishing to enter the master's programmes at WUAS; however, all students are interviewed and must demonstrate motivation. Students will be advised of their suitability prior to signing an initial study agreement as a pre-requisite to obtaining admission (offer letter).

Non-EU students requiring sponsored visa for study.

Non-EU (visa) students are “screened” according to their background, in order for the institute to be able to guarantee their immigration status.

The screening comprises an interview, collection and correlation of all IND required documents, including proof of sufficient funds, taking into account any scholarships provided by Wittenborg (Orange Tulip Scholarship, for instance) or by third parties (NUFFIC, EU, etc).

Details on Scholarships at Wittenborg can be found at http://www.wittenborg.eu/wittenborg-financial-assistance.htm.

Applicants are required to provide a motivation letter in which they describe the reasons for choosing Wittenborg’s programme, as well as the reason for wanting to study in the Netherlands (international students). Student motivation is important as the programmes are demanding and especially for international students there is a criteria that they complete at least 50% of all their credits in a year.