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European Institute of Innovation and Technology

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Budapest

Hungary

The Master of Science in Data Science program at the European Institute of Innovation and Technology is meticulously designed to equip students with both the foundational knowledge and advanced technical skills necessary to thrive in the rapidly evolving field of data science. Spanning a duration of 24 months, this comprehensive program offers a blend of theoretical learning and practical applications. Students will explore essential topics such as machine learning, big data analytics, predictive modeling, and business intelligence, preparing them to tackle real-world challenges in diverse industries.

As data continues to proliferate across sectors, the demand for skilled professionals who can analyze, interpret, and leverage this information is at an all-time high. The curriculum is structured to provide in-depth exposure to key areas such as applied statistics, database management, and coding, among others. Students will engage in practical projects, case studies, and collaborative assignments that simulate industry scenarios, ensuring they develop a critical understanding of data-driven decision-making processes.

One of the distinctive features of the program is its emphasis on hands-on learning. Students will have opportunities to work with industry-standard tools and technologies, gaining proficiency in software commonly used in the realm of data science. This experiential learning approach is complemented by instruction from a faculty comprised of experts and practitioners who bring a wealth of industry knowledge and academic insight into the classroom.

Upon completion of the program, graduates will not only possess a robust technical skill set but also a comprehensive understanding of data science applications across various sectors. This positions them favorably for numerous career pathways, from research roles to positions in data analytics, product management, and beyond. The program also fosters critical thinking, innovation, and ethical considerations in data handling, empowering students to make responsible decisions in their professional careers.

Furthermore, the European Institute of Innovation and Technology is situated in Budapest, Hungary—a vibrant city that serves as a hub for technology and innovation in Europe. This geographical advantage provides students with unparalleled access to networking opportunities, industry events, and potential collaborations with local tech firms and startups. With a diverse student body representing various nationalities, the program also promotes a multicultural learning environment that encourages collaboration and the exchange of ideas.

Why Study Master of Science in Data Science at European Institute of Innovation and Technology
  • Industry-Relevant Curriculum: The program offers a robust curriculum aligned with industry standards, ensuring students are job-ready upon graduation.
  • Expert Faculty: Learn from experienced faculty members who have extensive backgrounds in academia and industry, providing valuable insights into current trends and practices.
  • Research Opportunities: Engage in cutting-edge research projects that address real-world challenges, contributing to advancements in the field of data science.
  • Networking and Internships: Benefit from strong connections with industry partners and potential internship opportunities that can lead to immediate job placements.
  • Diverse Student Community: Experience a rich multicultural environment, facilitating collaboration and broadening perspectives among peers.
  • Strong Career Support: Access career services and mentorship programs designed to assist students in navigating their professional pathways.

The program curriculum includes a variety of specialized courses that allow students to tailor their education to their career goals. Core courses cover critical areas such as:

  • Statistics and Data Analysis
  • Machine Learning and Algorithm Development
  • Data Visualization Techniques
  • Big Data Technologies
  • Database Management Systems

In addition to these core areas, students may choose elective courses that delve into emerging topics such as artificial intelligence, natural language processing, and ethical implications in data science. Through these offerings, the program empowers students to become versatile professionals capable of adapting to the dynamic demands of the job market.

Moreover, the European Institute of Innovation and Technology prides itself on fostering an innovative and research-oriented culture. Students are encouraged to engage in research initiatives that can lead to publications, collaborations, and presentations at conferences, further enhancing their academic and professional profiles. This focus on research not only cultivates critical thinking and analytical skills but also instills a commitment to lifelong learning.

Graduates of the Master of Science in Data Science program often find themselves in high-demand roles across various sectors. Career pathways include positions such as Data Scientist, Data Engineer, Business Analyst, and more. With an average base salary of approximately $55,000 annually, the return on investment for students pursuing this degree is significant.

Alumni of the program have successfully transitioned into influential roles within reputable organizations, contributing to advancements in fields ranging from finance to healthcare. Many alumni have shared their success stories, emphasizing how the program has equipped them with the necessary skills and networks to achieve their professional aspirations.

In summary, the Master of Science in Data Science at the European Institute of Innovation and Technology stands out as an exemplary program that combines rigorous academic training with practical experience, preparing students to excel in the competitive landscape of data science.

To apply for the program, prospective students should meet specific eligibility requirements including a strong academic background, relevant documentation such as transcripts and letters of recommendation, and proof of proficiency in English through standardized tests like IELTS or TOEFL. The overall application process is designed to ensure that candidates are well-prepared to embark on a transformative educational journey.

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Duration

24 Months

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Median Salary

$55,000

Class Profile

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Class Size

25

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Average Age

24

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Average Work Experience

1 Years

Diversity

Africa:

2%

Oceania:

1%

Europe:

50%

Asia:

25%

South America:

5%

North America:

15%

Others:

3%

Career Outcomes

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Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Product Manager

Data Engineer

Data Visualization Specialist

Journalist

Researcher

Writer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Data Storyteller

Consultant

Statistician

Research Scientist

Software Engineer

Teacher

Entrepreneur

Data Ethics Specialist

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    92

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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

$15,000 / 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 European Institute of Innovation and Technology (EIT) offers a number of scholarships for students pursuing a Master of Science in Data Science. These scholarships are awarded based on academic merit and financial need. The EIT also offers a number of other scholarships and funding opportunities for students from all over the world.
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    Chevening Scholarship

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    Marshall Scholarship

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    EIT Scholarship

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    Fulbright Scholarship

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    DAAD Scholarship

FAQs

  • A student can complete Data Science at European Institute of Innovation and Technology with in 24.

  • The deadline to submit an admission application for Data Science at European Institute of Innovation and Technology is Application deadline Term 1 (Standard Deadline) - date - 06/02/2024

  • The application fee to pursue Data Science at European Institute of Innovation and Technology is 75 for international students.

  • The annual tuition fee to pursue Data Science at European Institute of Innovation and Technology is 15000.

  • The submission of these scores mainly depends on the type of degree/ course selected at the European Institute of Innovation and Technology. 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 European Institute of Innovation and Technology 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 European Institute of Innovation and Technology, 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 European Institute of Innovation and Technology can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official European Institute of Innovation and Technology website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at European Institute of Innovation and Technology 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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