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QS Rank:

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262

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University of Arizona

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Arizona

United States

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Program Rank

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115

The Master of Science in Data Science program at the University of Arizona is designed to equip students with the essential skills and knowledge needed to thrive in the rapidly evolving field of data analytics and artificial intelligence. This program emphasizes a multidisciplinary approach, integrating principles from statistics, computer science, and business intelligence to provide a robust educational foundation. As industries worldwide increasingly rely on data-driven decision-making, a degree from this esteemed university positions graduates at the forefront of technological innovation and enhances their employability in various sectors.

The program's curriculum is meticulously crafted to cover a broad range of topics critical to the field of data science. Students will engage with courses such as Applied Statistics, Database Systems, and Practical Machine Learning, allowing them to tackle complex real-world problems. The curriculum is designed to ensure that students not only gain theoretical knowledge but also acquire practical skills through projects and hands-on experiences. Each course is taught by faculty who are experts in their fields, ensuring that the education is both current and relevant.

The University of Arizona prides itself on its distinguished faculty, composed of renowned scholars and industry practitioners who bring a wealth of experience into the classroom. The teaching methodology emphasizes interactive learning, allowing students to engage in discussions, group projects, and case studies that reflect actual industry challenges. Faculty members are dedicated to fostering a collaborative environment where students can explore innovative ideas, develop critical thinking skills, and unleash their creative potential through a hands-on approach to learning.

In addition to a strong academic framework, the program offers ample research opportunities and resources for students. The university is home to advanced laboratories and research centers focusing on various aspects of data science, including artificial intelligence, machine learning, and big data analytics. Students can collaborate on groundbreaking research projects, further enhancing their analytical capabilities and gaining invaluable experience that is highly sought after in the job market. This hands-on research not only solidifies their understanding of theoretical concepts but also cultivates skills that are directly applicable to real-world challenges.

The University of Arizona has established strong ties with various industries, presenting students with numerous internship possibilities. These partnerships enable students to gain practical experience while working with leading companies in sectors such as technology, healthcare, finance, and more. Internship placements often lead to job offers upon graduation, underscoring the value of the university's industry connections. The program boasts an impressive job placement rate of 92%, indicating that graduates are well-prepared to enter the workforce and excel in their chosen careers.

The career pathways available to graduates of the Master of Science in Data Science program are diverse and lucrative. Potential job roles include Data Scientist, Data Engineer, Software Engineer, Machine Learning Engineer, and more. With an average base salary of $115,000, graduates can anticipate rewarding financial returns on their educational investment. The skills developed throughout the program position graduates not only for immediate job placement but also for long-term career progression in the ever-expanding field of data science.

Alumni of the program have made significant contributions to their respective industries and have shared success stories that highlight the transformative power of their education at the University of Arizona. Many graduates have secured positions with top-tier companies and have been involved in pioneering projects that leverage data science to drive innovation. The program's strong emphasis on networking and professional development further enhances students' prospects for success in the job market.

Unique features of the program—including a strong focus on business intelligence and a blend of theoretical and practical learning—distinguish it from other data science programs. The curriculum is designed to adapt to the evolving needs of the industry, ensuring students are equipped with the latest tools and technologies. Furthermore, the international diversity among students fosters a global perspective, enhancing collaborative learning experiences and preparing graduates for a globalized workforce.

Requirements for admission include a completed application, a statement of purpose, and proof of English proficiency through tests such as TOEFL, IELTS, or PTE. A bachelor’s degree in a related field, while preferred, is not strictly mandated, making this program accessible to a wider range of applicants. The application fee is set at $90, and interested candidates should be mindful of the important deadlines for submission.

Why Study Master of Science in Data Science at University of Arizona

  • Comprehensive curriculum that combines statistics, computer science, and business intelligence, preparing students for diverse careers.
  • Experienced faculty with expertise in various fields of data science, providing students with valuable insights and mentorship.
  • Access to cutting-edge research facilities and opportunities to collaborate on innovative projects.
  • Strong industry connections that facilitate internships and job placements, ensuring students gain practical experience.
  • High job placement rate and competitive salaries for graduates, reflecting the program's effectiveness in preparing students for successful careers.
  • A vibrant learning environment with a diverse student body, fostering collaboration and knowledge exchange among peers.
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Total Tuition Fees

$52,290

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Duration

18 Months

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Median Salary

$1,05,000

Ranking

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#105

US World and News Report

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#180

The World University Rankings

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#262

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Spring ( Apr - June )

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Summer ( July - Sept )

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

Others:

5%

California:

20%

Texas:

15%

Florida:

5%

New York:

10%

Arizona:

45%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

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Graduation Rate

64%

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Job Placement

92%

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

  • PTE

    60

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  • TOEFL

    79

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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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Application Fee: 90

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    Transcript

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    Statement of Purpose

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    Passport

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    TOEFL

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    IELTS

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
FallFeb 1, 2024
SpringAug 1, 2024

Fees and Funding

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Tuition Fees

$17,430 / year

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Overall Cost

$82,290 / year

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Average Total Aid Awarded

$16,233 / 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 Arizona offers a variety of scholarships for students pursuing a master's degree in data science. These scholarships are based on merit, financial need, or a combination of the two. Some of the scholarships available include the University of Arizona Graduate College Scholarship, the College of Engineering Scholarship, and the College of Science Scholarship. To learn more about these scholarships and how to apply, please visit the University of Arizona's website.

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    College of Engineering Scholarship

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    College of Science Scholarship

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    University of Arizona Graduate College Scholarship

FAQs

  • A student can complete Data Science at University of Arizona with in 18.

  • The deadline to submit an admission application for Data Science at University of Arizona is Application deadline Spring (Standard Deadline) - date - 01/09/2023

  • The application fee to pursue Data Science at University of Arizona is USD 90 for international students.

  • The annual tuition fee to pursue Data Science at University of Arizona is USD 35880.

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

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