QS Rank:

220

Radboud University

Gelderland
,Netherlands

Program Name
Master of Science in Data Science

Deadline
April 01st, 2024
Overview

The Master of Science in Data Science program at Radboud University is designed to equip students with the advanced analytical skills and knowledge needed to excel in today's data-driven business landscape. This comprehensive program spans 24 months, offering a rigorous curriculum that emphasizes both theoretical foundations and practical applications in the fields of data science and business intelligence. As a part of the Faculty of Science, students will be immersed in a vibrant academic environment characterized by collaboration and innovation.
Within this program, students will explore a diverse range of subjects including Applied Statistics, Database Systems, and Practical Machine Learning. The curriculum is carefully curated to cover essential skills that are highly sought after in the job market, ensuring that graduates are well-prepared to tackle complex data challenges. The program also integrates hands-on projects and internships, allowing students to apply their knowledge in real-world settings, which significantly enhances their employability upon graduation.
The faculty members involved in the Master of Science in Data Science program are highly experienced professionals and researchers in their respective fields. They employ a student-centered teaching methodology that encourages active participation, critical thinking, and collaborative problem-solving. The faculty's expertise ranges from statistical modeling to machine learning and data management, ensuring that students receive an education grounded in the latest industry practices and research developments. Small class sizes facilitate personalized attention, enabling meaningful interactions between students and faculty.
Research opportunities abound for students enrolled in this program. Radboud University is home to state-of-the-art laboratories and research facilities that support innovative projects in data science. Students can engage in cutting-edge research under the guidance of experienced faculty, often leading to publications and presentations at prestigious conferences. These opportunities not only enhance the academic experience but also foster connections with industry leaders and researchers, further enriching the educational journey.
In addition to strong academic support, the program boasts robust ties with the industry. The faculty actively collaborates with various companies and organizations, providing students with access to exclusive internship opportunities and networking events. These connections are invaluable for those looking to forge a successful career in data science, as they allow students to gain practical experience and insights into industry trends. Graduates of the program have successfully embarked on diverse career pathways, with roles such as Data Scientist, Data Engineer, Machine Learning Engineer, and Business Analyst being just a few examples of the exciting job outcomes.
To maintain a competitive edge, the curriculum is continually updated to reflect emerging technologies and methodologies in data science. Specialization options such as Data Engineering and Business Intelligence allow students to tailor their education to align with their career aspirations. The program empowers students to be innovative thinkers and problem-solvers, capable of leveraging data to drive strategic decision-making in various sectors, including finance, healthcare, and technology.
Moreover, the program has garnered numerous success stories from its alumni. Graduates have gone on to work for some of the most prestigious organizations globally, making significant contributions in their respective fields. Many have shared testimonials about how the comprehensive education and support they received at Radboud University were instrumental in their career advancements. The university prides itself on its commitment to student success and continues to foster a strong alumni network that is actively engaged in mentoring current students.
Why Study Master of Science in Data Science at Radboud University
- Comprehensive Curriculum: The program offers a diverse range of courses covering essential topics in data science, ensuring students gain a holistic understanding of the field.
- Expert Faculty: Learn from experienced professors who are leaders in their fields and are dedicated to student success through innovative teaching methods.
- Research Opportunities: Engage in groundbreaking research and work on real-world projects that enhance practical skills and academic knowledge.
- Industry Connections: Benefit from strong collaborations with industry partners, providing excellent internship and job placement opportunities.
- Alumni Success: Join a network of successful alumni who have made significant impacts in the field of data science across various sectors.
- Flexibility in Specialization: Tailor your education with specialization options that align with your career goals and interests.
To apply for the Master of Science in Data Science program at Radboud University, prospective students must meet certain eligibility criteria. A background in mathematics, statistics, or computer science is advantageous for understanding the program's content. Applicants are required to submit a personal statement, academic letters of recommendation, a resume, and a transcript. Proficiency in English is mandatory, with minimum scores of 6.5 on the IELTS or 90 on the TOEFL being the standard requirements.
The application deadline for the upcoming academic year is April 1st, 2024, and early application is encouraged to secure your place in this in-demand program. With a median base salary of around €55,000 and an average base salary reaching €60,000, graduates can expect promising financial returns on their educational investment.

Duration
24 Months

Median Salary
$55,000
Ranking
#103
US World and News Report
#136
The World University Rankings
#220
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
100

Average Age
25

Average Work Experience
1 Years
Diversity
Others:
10%Asia:
20%North America:
10%South America:
5%Africa:
3%Europe:
60%Australia and Oceania:
2%Career Outcomes

Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Data Architect
Machine Learning Engineer
Top recruiters










Eligibility Criteria
English Proficiency Tests
IELTS
6.5
TOEFL
90
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Personal Statement
Academic LOR
Resume
Application Deadlines
Standard Deadline | |
---|---|
Fall | Apr 1, 2024 |
Fees and Funding

Tuition Fees
$8,500 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The European Commission
The Google Foundation
The Mastercard Foundation
The Netherlands Organization for Scientific Research (NWO)
The Bill & Melinda Gates Foundation
FAQs
An MS degree at Radboud University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Radboud University website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Radboud University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
A student can complete Data Science at Radboud University with in 24.
The deadline to submit an admission application for Data Science at Radboud University is Application deadline Fall (Standard Deadline) - date - 01/04/2024
The annual tuition fee to pursue Data Science at Radboud University is EUR 8500.
The submission of these scores mainly depends on the type of degree/ course selected at the Radboud University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Radboud University requirements before submitting a score.
Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of Radboud University, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
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