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QS Rank:

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109

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University of Zurich

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Z'rich

Switzerland

The Master of Science in Data Science at the University of Zurich is an innovative program designed to equip students with the critical skills and knowledge necessary for success in the rapidly evolving field of data science. With an emphasis on real-world applications, this program bridges the gap between theoretical knowledge and practical implementation. Over the course of 24 months, students will engage in a comprehensive curriculum that includes advanced topics such as applied statistics, machine learning, data visualization, and business intelligence, all tailored to prepare graduates for a diverse range of careers in tech and data analytics.

As data continues to become an integral part of decision-making processes across industries, the demand for skilled data professionals has surged. The University of Zurich recognizes this trend and has designed its curriculum to reflect the latest advancements in technology and analytical techniques. Students will delve into key subjects such as database systems, data preparation, and the intricacies of machine learning, ensuring they are well-versed in the tools and methodologies that are shaping the future of data science.

The program encourages students to explore various focus areas within the field, allowing for customization that aligns with individual career goals. Students will have opportunities to specialize in in-demand areas such as data engineering, data architecture, and artificial intelligence, providing them with the flexibility to tailor their education to their interests and market needs. By the end of the program, graduates will have developed a comprehensive understanding of how to harness data effectively for strategic decision-making.

In addition to a robust curriculum, the Master of Science in Data Science program at the University of Zurich is supported by a distinguished faculty composed of leading experts in data science and analytics. Faculty members bring a wealth of industry experience and academic knowledge, employing innovative teaching methodologies that combine lectures with hands-on projects. This approach not only facilitates deep learning but also fosters critical thinking and problem-solving skills essential for success in the field.

Furthermore, students will have access to state-of-the-art research opportunities and resources through the University of Zurich's well-established network of industry connections. The program actively collaborates with various organizations, providing students with valuable internship opportunities that enhance their practical experience and employability. This connection to the industry ensures that students are not only learning the theoretical aspects of data science but are also gaining practical insights that are crucial for navigating today’s job market.

Why Study Master of Science in Data Science at University of Zurich
  • Renowned Reputation: The University of Zurich is ranked among the top universities globally, providing students with a prestigious educational experience.
  • Diverse Curriculum: The program offers a wide range of courses, allowing students to customize their education based on their interests and career aspirations.
  • Expert Faculty: Learn from leading experts in the field, who bring both academic and practical experience to the classroom.
  • Research and Internships: Access to cutting-edge research and valuable internships through strong industry connections enhances employability.
  • International Environment: Join a diverse student body with a rich mix of cultural perspectives, preparing graduates for global careers.

The program also provides a pathway for students to transition into various career roles upon graduation. Graduates of the Master of Science in Data Science can pursue positions such as Data Scientist, Data Engineer, Business Analyst, and Machine Learning Engineer, among others. The average base salary for graduates is a competitive 90,000 CHF, with job placement opportunities in sectors such as technology, finance, healthcare, and education.

Alumni of the program have reported significant career advancements and successful transitions into high-demand roles, thanks to the skills and experience gained during their studies. For instance, a recent graduate now works as a Data Analyst at a leading tech firm, where they leverage their education to drive strategic data initiatives. Testimonials highlight not only the academic preparation but also the supportive community and networking opportunities that the University of Zurich provides.

To enroll in the Master of Science in Data Science program, applicants should fulfill specific requirements, including a relevant bachelor's degree, transcripts, a resume, and letters of recommendation. Proficiency in English is mandatory, with a minimum score of 100 on the TOEFL or a band score of 7 on the IELTS required for non-native speakers. This ensures that all students are well-prepared to engage with the rigorous academic content offered in the program.

In conclusion, the Master of Science in Data Science at the University of Zurich stands out as a premier choice for students looking to deepen their knowledge and skills in data science. With a rich curriculum, expert faculty, and robust industry connections, this program is designed to produce graduates who are ready to meet the demands of today’s data-driven economy. Whether aiming for a career in technology, finance, healthcare, or academia, students will find the training they receive at the University of Zurich invaluable as they embark on their professional journeys.

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Duration

24 Months

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Median Salary

$80,000

Ranking

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#62

US World and News Report

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#73

The World University Rankings

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#109

QS World University Rankings

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

3 Years

Diversity

North America:

5%

Africa:

1%

Others:

1%

South America:

2%

Europe:

20%

Asia:

1%

Switzerland:

70%

Career Outcomes

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Median Earnings After Graduation

$80,000 / year

Prospective Job Roles

Product Manager

Data Engineer

Data Visualization Specialist

Editor

Journalist

Researcher

Writer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Data Storyteller

Consultant

Statistician

Research Scientist

Software Engineer

Teacher

Entrepreneur

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7

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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.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$1,230 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Zurich offers a variety of scholarships for students pursuing a Master's degree in Data Science. These scholarships are awarded based on academic merit, financial need, and other criteria. Some of the scholarships available include the ETH Zurich Excellence Scholarship, the Swiss National Science Foundation Scholarship, and the Zurich University of Applied Sciences Scholarship.
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    Swiss National Science Foundation Scholarship

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    ETH Zurich Excellence Scholarship

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    Zurich University of Applied Sciences Scholarship

FAQs

  • A student can complete Data Science at University of Zurich with in 24.

  • The application fee to pursue Data Science at University of Zurich is CHF 100 for international students.

  • The annual tuition fee to pursue Data Science at University of Zurich is CHF 1230.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Zurich. 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 University of Zurich 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 University of Zurich, 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.

  • An MS degree at University of Zurich can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Zurich website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Zurich 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.

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