QS Rank:

49

Delft University of Technology

South Holland
,Netherlands

Program Rank

49

Program Name
Masters in Computer Science: Data Science & Technology

Deadline
January 15th, 2025
Overview

The Master of Computer Science: Data Science & Technology at Delft University of Technology is a premier graduate program designed to equip students with the essential skills and insights required to excel in the dynamic and rapidly evolving field of data science. This program stands out for its comprehensive curriculum, which incorporates theoretical foundations as well as practical applications, ensuring that graduates are well-prepared to tackle real-world challenges. With a focus on Data Science and Data Analytics, the curriculum encompasses key areas such as machine learning, big data processing, data visualization, and advanced statistical methods, providing students with a robust toolkit for analyzing and interpreting complex data sets.
Throughout the 24-month program, students will engage with a diverse array of courses that include Data Mining, Machine Learning, Data Engineering, and Artificial Intelligence, among others. Each course is meticulously designed to foster critical thinking and innovation, allowing students to explore cutting-edge technologies and methodologies in data science. Moreover, students will have access to state-of-the-art laboratory facilities, which are equipped with advanced computing resources, enabling them to conduct extensive research and practical experiments. The curriculum is continuously updated to reflect the latest trends and demands in the industry, ensuring that students receive an education that is relevant and impactful.
The faculty at Delft University of Technology comprises leading experts in the field of computer science, many of whom are actively engaged in pioneering research. Their diverse backgrounds and extensive experience enrich the learning environment, making it conducive to academic growth. Faculty members employ a blend of teaching methodologies that emphasize hands-on learning, collaborative projects, and independent research. This approach not only enhances understanding but also encourages students to develop their problem-solving skills and creativity. Furthermore, the faculty is dedicated to mentoring students and providing personalized guidance, which is invaluable for those pursuing research opportunities.
Research is a cornerstone of the Master of Computer Science: Data Science & Technology program, with numerous opportunities available for students to engage in cutting-edge research projects. The university is home to several research institutes and centers, where students can collaborate with faculty and industry partners on innovative projects. These research endeavors often lead to publications, conference presentations, and even patents, providing students with tangible outputs that enhance their academic profiles. Additionally, students have access to a wealth of resources, including advanced data analysis tools and databases that are essential for conducting high-quality research.
Industry connections play a pivotal role in the academic experience at Delft University of Technology. The university has established partnerships with leading tech companies and organizations, facilitating internship opportunities for students. These internships not only provide practical experience but also open doors for potential employment upon graduation. The strong focus on career development is reflected in the program's excellent job placement rates, with many graduates securing positions in renowned companies within months of completing their studies. Graduates of this program are well-equipped to pursue careers in various sectors, including finance, healthcare, technology, and research institutions, often taking on roles such as data analysts, data scientists, and machine learning engineers.
Alumni of the Master of Computer Science: Data Science & Technology program have gone on to achieve remarkable success, contributing significantly to their respective fields. Many alumni have shared their experiences, highlighting how the program prepared them for their current roles and equipped them with the skills necessary to drive innovation. Testimonials from former students often emphasize the importance of the collaborative learning environment, the quality of the faculty, and the real-world applicability of the knowledge gained. These success stories are a testament to the program's commitment to excellence and its impact on shaping the future leaders of the data science domain.
Why Study Computer Science: Data Science & Technology at Delft University of Technology:
- A globally recognized program consistently ranked among the best in the world for Data Science.
- Diverse and inclusive international community, fostering cross-cultural collaboration and networking.
- Access to cutting-edge facilities and laboratories equipped with the latest technology and software for data science research.
- Strong industry connections that facilitate internships and job placements with leading companies in various sectors.
- Opportunity to engage in impactful research, contributing to advancements in the field of data science and technology.
- Dedicated faculty members who are leaders in their field and committed to student success and mentorship.
- Flexible learning paths and elective courses allow students to tailor their education to their career goals and interests.
To be eligible for the program, applicants must hold a bachelor's degree in a related field and demonstrate proficiency in English, typically through scores from standardized tests such as the TOEFL, with a minimum score of 100. Specific additional requirements may vary, and it is advisable for prospective students to consult the official program website for comprehensive application guidelines and deadlines.
In summary, the Master of Computer Science: Data Science & Technology at Delft University of Technology offers a unique blend of theoretical knowledge and practical experience, making it an ideal choice for aspiring data scientists. The combination of a rigorous curriculum, exceptional faculty, robust research opportunities, and strong industry connections positions graduates for success in a competitive job market. This program is indeed a remarkable pathway to a fulfilling career in data science.

Total Tuition Fees
$48,000

Duration
24 Months

Median Salary
$1,10,000
Ranking
#174
US World and News Report
#75
The World University Rankings
#49
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile


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Career Outcomes

Median Earnings After Graduation
$1,10,000 / year

Graduation Rate
80%
Prospective Job Roles
Data Engineer
Marketing Data Analyst
Patient Data Coordinator
Data Entry Clerk
IT Data Analyst
Data Warehouse Engineer
Research Data Analyst
Health Data Analyst
Data Architect
Data scientist
GIS Data Scientist
Data Protection Officer
Data Science Consultant
Top recruiters












Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 15 years of bachelor degree.
English Proficiency Tests
TOEFL
100
IELTS
7
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.

Application Fee: 100
Transcript
Passport
Statement of Purpose
Resume
IELTS
Academic LOR
Professional LOR
Application Deadlines
Standard Deadline | |
---|---|
Fall | Jan 15, 2025 |
Fees and Funding

Tuition Fees
$24,000 / year

Overall Cost
$40,000 / year
FAQs
In total the dropout rate was 43%. About half of the dropouts started another study at TUD or at a Polytechnique School. The function of the first year was orientation and selection.
7
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