BSc in Business Information Technology
The BSc in Business Information Technology (BIT) at the University of Twente is designe...
Drienerlolaan
INTAKE: Feb & Sept
The MSc in Applied Mathematics - Mathematics of Data Science at the University of Twente, Enschede, Netherlands, is an advanced program that combines the rigor of applied mathematics with the emerging field of data science. This program prepares students to use mathematical methods, algorithms, and statistical models to extract meaningful insights from complex data, making it ideal for those interested in fields like machine learning, big data analytics, and artificial intelligence. It provides a strong foundation in mathematics while focusing on practical data science applications across various industries.
Curriculum: The curriculum of the MSc in Applied Mathematics - Mathematics of Data Science is designed to offer a comprehensive education in mathematical modeling, statistics, machine learning, and computational techniques. Core courses cover topics such as data analysis, probability theory, optimization, and algorithm design, while elective courses allow students to specialize in areas like deep learning, time series analysis, and computational statistics. The program also emphasizes practical experience, with opportunities for students to work on projects and case studies related to real-world data science problems.
Research Focus: The University of Twente is recognized for its research in the fields of applied mathematics and data science. The research focus of the MSc in Mathematics of Data Science is centered on developing mathematical methods to solve data-related challenges in various domains, such as healthcare, finance, and engineering. Research topics include statistical learning, optimization in high-dimensional data, big data analytics, and the development of algorithms for data processing. Students are encouraged to engage in research projects that push the boundaries of data science and contribute to advancements in the field.
Industry Engagement: The MSc in Applied Mathematics - Mathematics of Data Science fosters strong industry engagement through collaborations with leading tech companies, research institutions, and industry experts. Students have the opportunity to participate in internships, industry-sponsored projects, and data-driven challenges. These connections provide practical insights into industry practices, help students apply their theoretical knowledge to real-world problems, and enhance their job prospects. The university’s network ensures that students gain valuable exposure to the latest trends and innovations in the field of data science.
Global Perspective: With a diverse student body and a curriculum that integrates international best practices, the MSc in Mathematics of Data Science at the University of Twente offers a global perspective on data science. The program emphasizes the importance of working in multicultural teams, addressing global data challenges, and applying mathematical methods in a variety of international contexts. Students are prepared to work in global industries and research environments, gaining skills that are highly transferable and in demand worldwide.
Drienerlolaan
IELTS 6.5
€ 18900
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 75% or above in their bachelor's degree.
English Language Proficiency:
Standardized Test Requirements
The University of Twente (UT) offers various scholarship opportunities for international students to help finance their education and living expenses in the Netherlands. These scholarships are designed to attract talented students from around the world and provide them with financial support to pursue their undergraduate or postgraduate studies at the university.
University of Twente Scholarships (UTS): The University of Twente Scholarships (UTS) are highly competitive merit-based scholarships available to students from non-EU/EEA countries who are applying for a Master’s program at the university. These scholarships are intended to cover part of the tuition fees and living expenses for the duration of the program. The amount of the scholarship varies, and it can range from €3,000 to €25,000 per year, depending on the student’s program and the scholarship type. To be eligible, students must have an excellent academic record and meet the admission requirements for their chosen program.
Holland Scholarship: The Holland Scholarship is a national scholarship program funded by the Dutch Ministry of Education, Culture, and Science in collaboration with Dutch research universities, including the University of Twente. This scholarship is available to international students from outside the European Economic Area (EEA) who are applying for a Master’s program at UT. The Holland Scholarship provides a one-time award of €5,000 to help with tuition fees or living costs. The scholarship is awarded for the first year of study, and students can apply for it once they have been admitted to a Master's program at the university.
Orange Tulip Scholarship (OTS): The Orange Tulip Scholarship (OTS) is a Dutch government-sponsored program aimed at providing scholarships to international students from specific countries, including China, India, Indonesia, Mexico, Russia, South Korea, and Vietnam, among others. UT participates in the OTS program, and selected students can receive a scholarship that covers part of the tuition fees for their Master’s degree. The OTS scholarship is offered in collaboration with the Dutch embassies and institutions in various countries.
Kipaji Scholarship: The Kipaji Scholarship is a special award given by the University of Twente to outstanding international students with excellent academic achievements. This scholarship is typically available for students from Africa, Asia, Latin America, and the Middle East who are applying for a Master’s program. The Kipaji Scholarship covers tuition fees, living expenses, and other costs related to studying abroad, providing a comprehensive financial aid package to deserving students.
Additional Scholarships for Specific Programs: In addition to the general scholarships mentioned above, the University of Twente also offers specific scholarships for students pursuing certain Master's programs. These scholarships are often offered in collaboration with academic departments or external organizations and can cover partial or full tuition fees.
Graduates of the MSc in Applied Mathematics - Mathematics of Data Science from the University of Twente are highly sought after in a variety of industries that rely on data-driven decision-making. With a strong foundation in mathematics, statistics, and computational techniques, students are prepared to pursue numerous career paths across different sectors.
Data Scientist: Leveraging mathematical models, statistical analysis, and machine learning techniques to analyze large datasets, extract insights, and help organizations make data-driven decisions.
Machine Learning Engineer: Designing and implementing machine learning algorithms to develop predictive models, enhance data systems, and automate processes in industries like tech, finance, and healthcare.
Quantitative Analyst: Applying advanced mathematical techniques to model financial markets, assess risk, and optimize portfolios in investment banks, hedge funds, and financial institutions.
Big Data Engineer: Building and maintaining large-scale data processing systems to handle, analyze, and interpret vast quantities of data in sectors such as telecommunications, e-commerce, and logistics.
Research Scientist (Data Science): Conducting research in both academia and industry, focusing on advancing algorithms, optimizing data analysis techniques, and developing new statistical models for emerging technologies.
Business Intelligence Analyst: Using mathematical methods and statistical analysis to transform raw data into actionable business insights, supporting strategic decision-making in organizations.
Artificial Intelligence Specialist: Developing AI models and algorithms to solve complex problems in areas like robotics, autonomous systems, and natural language processing.