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QS Rank:

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421

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University of Strasbourg

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Strasbourg

France

Embarking on a journey through the Master of Science in Data Sciences and Artificial Intelligence program at the University of Strasbourg opens doors to an exciting and rapidly evolving field. This program is intricately designed to equip students with a rich set of skills and knowledge necessary to thrive in the world of data science and artificial intelligence. The curriculum encompasses a broad spectrum of topics, including machine learning, data analytics, and business intelligence, ensuring that graduates emerge as well-rounded professionals ready to tackle real-world challenges.

The comprehensive curriculum allows students to specialize in various critical areas, such as applied statistics, database systems, and practical machine learning. Each course is structured to build upon the foundational knowledge acquired in previous studies, fostering a deep understanding of complex data concepts. This systematic approach not only enhances theoretical knowledge but also emphasizes practical application through hands-on projects, case studies, and industry partnerships that enrich the learning experience.

Additionally, students can expect to engage with a rich diversity of faculty expertise, comprised of experienced educators and industry professionals. These instructors bring a wealth of knowledge and real-world experience into the classroom, utilizing innovative teaching methodologies that encourage critical thinking and problem-solving. Through collaborative discussions, interactive workshops, and personalized mentorship, students receive a comprehensive educational experience that prepares them for the demands of the data science landscape.

Research opportunities are abundant at the University of Strasbourg. Students are encouraged to participate in cutting-edge research projects and initiatives that tackle pressing global issues through data-driven solutions. With access to state-of-the-art resources and laboratories, students can explore their interests and make significant contributions to the field of data science and artificial intelligence. The university's strong emphasis on research fosters an environment where students can innovate and experiment, enriching their academic experience.

Moreover, the University of Strasbourg boasts robust industry connections, providing students with ample opportunities for internships and networking. Collaborations with leading companies and organizations allow students to gain practical experience and insights into the industry, enhancing their employability upon graduation. This program focuses not only on academic achievements but also on cultivating professional relationships that can lead to successful careers in various sectors.

Why Study Master of Science in Data Sciences and Artificial Intelligence at University of Strasbourg
  • Cutting-Edge Curriculum: The program encompasses a wide array of courses that cover essential topics in data science, artificial intelligence, and business intelligence.
  • Diverse Faculty Expertise: Learn from seasoned educators and industry professionals who bring real-world experience into the classroom.
  • Research Opportunities: Engage in innovative research projects that address pressing global challenges through data-driven solutions.
  • Strong Industry Connections: Benefit from partnerships with leading companies, ensuring valuable internship and networking opportunities.
  • Vibrant International Community: Join a diverse student body, enhancing cross-cultural collaboration and networking.
  • Career Pathways: With a wide range of job roles available, graduates can pursue fulfilling careers in various sectors, including technology, finance, and healthcare.

The program's graduates are well-poised for success in a competitive job market. Among the prospective job roles, students can expect to find themselves in positions such as Artificial Intelligence Engineer, Data Scientist, Research Scientist, and Data Analyst, among others. Graduates will also see opportunities in business roles like Product Manager, Marketing Manager, and Sales Manager. The median base salary for graduates entering the field is approximately €45,000, making this a lucrative career path.

Furthermore, alumni of the program have shared their success stories, highlighting their smooth transition into fulfilling careers. Many have secured positions in top firms across Europe and beyond, utilizing the skills and knowledge gained during their studies. Testimonials from past students underscore the program's effectiveness in preparing them for real-world scenarios and challenges they face in their careers today.

To ensure that candidates are well-prepared for this rigorous program, certain prerequisites must be met. Applicants should hold a relevant undergraduate degree and demonstrate proficiency in English through standardized testing such as the IELTS or TOEFL. The required scores for the IELTS are a minimum of 6.5, and for the TOEFL, a score of at least 80 is necessary. Additionally, applicants must submit a transcript, an academic letter of recommendation, and a resume as part of their application.

In conclusion, the Master of Science in Data Sciences and Artificial Intelligence at the University of Strasbourg not only provides students with essential knowledge and skills but also empowers them to make significant contributions to the field. With its robust curriculum, diverse faculty, and strong industry connections, this program is an ideal choice for anyone looking to excel in the ever-evolving landscape of data science.

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Duration

24 Months

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Median Salary

$45,000

Ranking

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#247

US World and News Report

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#421

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

30

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Average Age

25

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Average Work Experience

1 Years

Diversity

Others:

5%

Others:

15%

Italy:

10%

Spain:

5%

Germany:

15%

France:

45%

Career Outcomes

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Median Earnings After Graduation

$45,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Statistician

Research Scientist

Software Engineer

Data Engineer

Data Visualization Specialist

Product Manager

IT Security Engineer

Data Analyst

Data Scientist

Business Analyst

Marketing Manager

Big Data Engineer

Data Architect

Sales Manager

DevOps Engineer

Cloud Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    80

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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

Final Deadline
FallJun 2, 2023

Fees and Funding

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Tuition Fees

$600 / 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 Strasbourg offers a variety of scholarships for students pursuing a Master of Science in Data Sciences and Artificial Intelligence. These scholarships are based on academic merit, financial need, and other criteria. The university also offers a number of fellowships and internships that can help students gain valuable experience in the field of data science.
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    Erasmus Mundus Scholarship

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    Chevening Scholarship

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    Marshall Scholarship

FAQs

  • A student can complete Data Sciences and Artificial Intelligence at University of Strasbourg with in 24.

  • The deadline to submit an admission application for Data Sciences and Artificial Intelligence at University of Strasbourg is Application deadline Fall (Final Deadline) - date - 02/06/2023

  • The annual tuition fee to pursue Data Sciences and Artificial Intelligence at University of Strasbourg is EUR 600.

  • The Data Sciences and Artificial Intelligence at University of Strasbourg has 4 semesters.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Strasbourg. 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 Strasbourg requirements before submitting a score.

  • Data Sciences and Artificial Intelligence 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 Strasbourg, they can easily pursue Data Sciences and Artificial Intelligence. 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 Strasbourg 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 Strasbourg website to check the course/ degree duration.

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