Programme details | |
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Degree: | Master of Science (MSc) |
Discipline: |
Data Science & Big Data
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Duration: | 18 months |
Study modes: | full-time |
Delivery modes: | on-campus |
University website: | MBM with specialisation in Data Analytics |
Annual tuition (EEA) | ca. 182,900 HKD University currency: 21,300 EUR |
Annual tuition (non-EEA) | ca. 182,900 HKD University currency: 21,300 EUR This applies to citizens of Hong Kong |
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Find more information on the website of Wittenborg University of Applied Sciences: