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QS Rank:

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324

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University of Miami

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Florida

United States

The Master of Science in Data Science program at the University of Miami is meticulously designed to equip students with a comprehensive understanding of the multifaceted world of data. This program is anchored in the principles of analytical reasoning, machine learning, and data management, making it an ideal pathway for those aspiring to excel in the fast-evolving tech landscape. Students will have the opportunity to engage with real-world data problems and learn how to extract meaningful insights from vast datasets, which is crucial in today’s data-driven economy. The curriculum covers essential areas such as applied statistics, database systems, and practical machine learning, ensuring that graduates are well-prepared for a variety of technical roles.

One of the standout features of this program is its emphasis on experiential learning. Students will have access to state-of-the-art resources, including data visualization tools and big data technologies. Hands-on projects and collaborative group work are integral to the learning experience, allowing students to hone their skills in problem-solving and critical thinking. With a diverse class profile that includes professionals from various backgrounds, the learning environment fosters innovation and encourages the exchange of ideas, enhancing the overall educational experience. Moreover, the University of Miami boasts a vibrant community of scholars and industry leaders who contribute to a rich learning atmosphere.

The program’s curriculum is structured to provide a robust foundation in core subjects while also allowing for specialization in areas of interest. Students can expect to study subjects such as statistics, coding, mathematics, algorithms, and artificial intelligence. Furthermore, the inclusion of advanced topics like business intelligence and systems architecture prepares graduates to tackle complex problems in various sectors. This flexible curriculum is designed to adapt to the ever-changing demands of the job market, ensuring that students are not only well-versed in theory but also adept at using cutting-edge technologies.

Research opportunities abound at the University of Miami, providing students with unique chances to collaborate with faculty on groundbreaking projects. The faculty members are not only dedicated educators but also seasoned professionals with extensive experience in their respective fields. This means that students benefit from teaching methodologies that blend academic rigor with practical insights. Opportunities for internships with local and national companies allow students to gain invaluable hands-on experience, further enhancing their employability upon graduation.

The career outcomes for graduates of the Master of Science in Data Science program are impressive. With an average base salary of $105,000, the program opens doors to various roles including Data Scientist, Data Analyst, Software Engineer, and Machine Learning Engineer, among others. Alumni of the program have successfully transitioned into key roles in industries such as finance, healthcare, and technology, contributing to innovative solutions and advancements. The program’s network of successful alumni serves as a testament to the quality of education and the career potential that lies ahead for students.

Why Study Master of Science in Data Science at University of Miami
  • Cutting-edge Curriculum: The program offers a blend of theoretical and practical learning, covering essential areas such as machine learning, data architecture, and advanced statistical analysis.
  • Diverse Learning Environment: With a class size of just 25 students, the program fosters close-knit interactions and collaborative learning, enhancing the educational experience.
  • Experienced Faculty: Learn from industry experts and researchers who bring real-world insights into the classroom, enriching the academic experience.
  • Research Opportunities: Engage in impactful research projects that contribute to innovation in the field of data science.
  • Strong Industry Connections: Benefit from partnerships with leading companies that facilitate internships and job placements, bridging the gap between education and the workforce.
  • Career Advancement: Graduates are well-positioned for high-paying roles in a variety of sectors, with an average starting salary that reflects the demand for data professionals.
  • Alumni Success Stories: Join a network of successful alumni who have made significant contributions in their fields, providing valuable connections and mentorship opportunities.

Admission into this prestigious program is competitive, and applicants are required to meet specific criteria. Key prerequisites include a bachelor's degree in a related field, a statement of purpose, letters of recommendation, and a resume. International students must demonstrate proficiency in English through standardized tests such as IELTS or TOEFL, with minimum scores of 6.5 for IELTS and 80 for TOEFL. The application deadline is set for October 15th, 2023, for the Spring intake, ensuring that prospective students have ample time to prepare their application materials.

In summary, the Master of Science in Data Science at the University of Miami is an exceptional program that prepares students for successful careers in the dynamic field of data science. With a strong focus on practical skills, research opportunities, and career readiness, graduates emerge as highly qualified professionals ready to tackle complex data challenges and drive innovation across industries.

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Median Salary

$1,05,000

Ranking

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#253

US World and News Report

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#194

The World University Rankings

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#324

QS World University Rankings

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Intake

Spring ( Apr - June )

Class Profile

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Class Size

25

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Average Age

27

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Average Work Experience

3 Years

Diversity

California:

15%

Illinois:

5%

New York:

10%

Texas:

8%

Florida:

45%

Others:

17%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Data Architect

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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    Statement of Purpose

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    Passport

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
SpringOct 15, 2023

Fees and Funding

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Tuition Fees

$34,650 / 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 Miami offers a variety of scholarships for students pursuing a Master of Science in Data Science. These scholarships are based on academic merit, financial need, and other criteria. Some of the scholarships that are available include the University of Miami Presidential Scholarship, the University of Miami Provost Scholarship, and the University of Miami Alumni Scholarship.
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    University of Miami Presidential Scholarship

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    University of Miami Alumni Scholarship

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    University of Miami Provost Scholarship

FAQs

  • The deadline to submit an admission application for Data Science at University of Miami is Application deadline Spring (Standard Deadline) - date - 15/10/2023

  • The application fee to pursue Data Science at University of Miami is USD 85 for international students.

  • The annual tuition fee to pursue Data Science at University of Miami is USD 34650.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Miami. 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 Miami 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 Miami, 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 Miami 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 Miami website to check the course/ degree duration.

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