QS Rank:

131

University of Basel

Basel-Stadt
,Switzerland

Program Name
MSc in Data Science

Deadline
November 30th, 2023
Overview

Embarking on a journey in data science is a transformative experience, especially when pursued at the prestigious University of Basel. The MSc in Data Science offered by the Faculty of Science is meticulously designed to equip students with the essential skills and knowledge needed to thrive in the rapidly evolving field of data analytics and business intelligence. With a comprehensive curriculum that covers core concepts and advanced techniques in data science, this master's program is an ideal choice for individuals looking to deepen their understanding and proficiency in harnessing data to drive informed decision-making.
The curriculum of this program is both rigorous and engaging, comprising a blend of foundational courses and specialized subjects. Core courses include Statistical Data Analysis, Machine Learning, and Big Data Technologies, each crafted to build a solid understanding of data science principles and methodologies. In addition, students can choose from elective courses such as Data Visualization, Predictive Analytics, and Data Mining, allowing them to tailor their education to their specific interests. This flexibility not only enhances the learning experience but also prepares graduates for a multitude of career paths in various sectors.
One of the defining features of the MSc in Data Science program at the University of Basel is its distinguished faculty. Comprising experienced researchers and industry experts, the faculty members bring a wealth of knowledge and practical insights into the classroom. Their teaching methodology emphasizes a hands-on approach, combining theoretical learning with practical applications through real-world projects and case studies. This experiential learning fosters critical thinking and problem-solving skills, essential for navigating the complexities of data-related challenges. Students also have the opportunity to collaborate on research projects, positioning them to contribute meaningfully to the field while gaining valuable experience.
Research opportunities abound at the University of Basel, with access to state-of-the-art labs and resources. Students are encouraged to engage in innovative research, working alongside faculty on cutting-edge projects that push the boundaries of data science. The university’s strong emphasis on research not only enriches the academic experience but also enhances employability, as students develop a robust portfolio of practical work and research that appeals to prospective employers. Furthermore, the university is well-connected to industry partners, offering numerous internship and job placement opportunities that can lead to rewarding careers in data science.
Upon graduation, students can expect to find a wealth of career pathways available to them. The demand for skilled data scientists continues to surge, with opportunities in sectors such as healthcare, finance, tech, and government. Graduates are well-prepared for roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Scientist, among others. The University of Basel’s commitment to supporting students’ career development enhances their prospects, with many alumni reporting successful placements in leading organizations both locally and internationally.
Moreover, the MSc in Data Science program boasts a vibrant alumni network, with many graduates achieving remarkable success in their careers. Their testimonials reflect the program's effectiveness in providing a solid foundation for professional growth and expertise in data science. Graduates often cite their experience at the University of Basel as instrumental in shaping their careers and expanding their professional networks.
In conclusion, the MSc in Data Science at the University of Basel offers a distinct blend of academic rigor, practical experience, and industry engagement, making it an excellent choice for aspiring data scientists. The program not only cultivates technical skills but also fosters creativity and independent research, preparing students to make significant contributions to the field of data science.
Why Study Data Science at University of Basel
- A popular choice for international students, promoting a diverse and inclusive academic community.
- Learn from top-tier faculty members and engage in hands-on research as their assistants.
- Access to state-of-the-art labs and resources to facilitate innovative research projects.
- Excellent placement programs and strong networking opportunities with industry leaders to enhance career prospects.
Admission to the MSc in Data Science program requires a recognized undergraduate degree, preferably in a related field such as computer science, mathematics, or statistics. Applicants are also encouraged to demonstrate proficiency in English, with minimum requirements including an IELTS score of 6.0 or a TOEFL score of 80. The application process is straightforward, with a standard deadline set for November 30th, 2023. Prospective students are advised to prepare their application materials well in advance to ensure a seamless submission and evaluation process.
In summary, the MSc in Data Science at the University of Basel stands as a testament to academic excellence and career readiness. With its comprehensive curriculum, exceptional faculty, extensive research opportunities, and a strong focus on industry connections, this program is poised to prepare the next generation of data scientists for successful and impactful careers in this dynamic field.

Duration
24 Months
Ranking
#135
US World and News Report
#103
The World University Rankings
#131
QS World University Rankings
Class Profile
Diversity
Others:
10%Switzerland:
65%Germany:
15%France:
5%Italy:
3%Austria:
2%Eligibility Criteria
English Proficiency Tests
IELTS
6
TOEFL
80
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 Deadlines
Standard Deadline | |
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Spring | Nov 30, 2023 |
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