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QS Rank:

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200

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Arizona State University

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Arizona

United States

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Program Rank

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105

The Master of Science in Data Science and Analytics at Arizona State University is an innovative program designed to equip students with the essential skills and knowledge critical in today’s data-driven world. Offered through the prestigious Ira A. Fulton Schools of Engineering, this graduate degree focuses on both the theoretical and practical aspects of data science. Over the course of 24 months, students will engage with a dynamic curriculum that blends statistical analysis, machine learning, data visualization, and data management techniques, positioning them for success in diverse industries.

The curriculum encompasses a range of specialized courses designed to address the evolving landscape of data science. Key courses include Data Mining, which provides hands-on experience with techniques used to analyze large datasets, and Machine Learning, which delves into algorithms that allow systems to learn from data. Additionally, students will explore Data Visualization, a critical skill that aids in the effective communication of complex information through visual means. Other notable courses encompass Big Data Analytics, Statistical Methods for Data Science, and Database Management Systems, ensuring a well-rounded education that prepares graduates for real-world challenges.

Faculty members at Arizona State University are industry leaders and scholars who bring a wealth of knowledge and practical experience to their teaching. They utilize a teaching methodology that emphasizes experiential learning, encouraging collaboration and innovation among students. The program also fosters an environment where students can engage in rigorous discussions related to current trends and challenges in data analytics, enabling them to learn from each other as well as their instructors. This approach not only enhances understanding but also encourages creativity, making graduates well-prepared for the demands of the job market.

Research opportunities abound within the Master of Science in Data Science and Analytics program, offering students access to cutting-edge resources and projects. Students are encouraged to engage in research initiatives that explore various facets of data science, including artificial intelligence, data ethics, and advanced statistical modeling. Additionally, there are numerous partnerships with local industries and organizations, providing students with avenues to apply their skills in practical settings and contribute to impactful projects. These collaborations bolster students’ resumes and enhance their employment prospects post-graduation.

Internship possibilities and industry connections serve as cornerstone elements of the program, facilitating valuable networking opportunities. Arizona State University maintains strong ties with various organizations across sectors such as technology, healthcare, finance, and manufacturing. These connections lead to internships that provide real-world experience and can significantly enhance a student’s career trajectory. Graduates of this program are well-equipped to pursue roles such as Data Engineer, Information Systems Manager, Analyst Programmer, and Consulting Analyst, among others. With a median starting salary of approximately $95,000, the financial rewards are substantial for those who complete this degree.

In addition to a robust education, alumni of the Master of Science in Data Science and Analytics have gone on to achieve remarkable success in their careers. Many have secured positions at top-tier companies and have been recognized for their contributions to the field. Their success stories are a testament to the quality of education provided by Arizona State University and the strength of the program. Alumni frequently return to share their experiences and insights with current students, fostering a sense of community and mentorship that further enhances the learning experience.

Why Study Data Science and Analytics at Arizona State University? Here are several compelling reasons:

  • Innovative Curriculum: The program features a comprehensive curriculum that covers essential data science skills, including hands-on experience with cutting-edge tools and technologies.
  • Expert Faculty: Learn from distinguished faculty members who are leaders in the field, providing insights and mentorship drawn from their substantial professional backgrounds.
  • Research Opportunities: Engage in impactful research projects and gain access to state-of-the-art resources that enhance your educational experience and career prospects.
  • Industry Connections: Benefit from strong partnerships with leading organizations that offer valuable internship experiences and networking opportunities.
  • Career Outcomes: Graduates enjoy high employability rates and competitive salaries, with many securing prestigious positions in various sectors.
  • Diverse Learning Environment: Join a vibrant community of learners from diverse backgrounds, enhancing your educational journey through collaboration and shared perspectives.

To gain admission to the program, prospective students must meet specific requirements. These include a completed application with a fee of $115, transcripts from previous educational institutions, and a range of supporting documents such as a personal statement, resume, and proof of English proficiency, typically demonstrated through the IELTS exam (minimum score of 7.0). While standardized test scores such as the GRE are not explicitly required, applicants are encouraged to showcase their aptitude through relevant coursework or experience in data science and analytics.

In conclusion, the Master of Science in Data Science and Analytics at Arizona State University offers an unparalleled educational experience designed to prepare students for the dynamic and rapidly evolving field of data science. With a rigorous curriculum, expert faculty, abundant research opportunities, and strong industry connections, graduates are well-equipped to meet the challenges of the future and thrive in their careers.

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Total Tuition Fees

$43,032

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Duration

24 Months

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Median Salary

$95,000

Ranking

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#165

US World and News Report

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#132

The World University Rankings

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#200

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Spring ( Apr - June )

Class Profile

Diversity

Others:

15%

California:

20%

Texas:

15%

Florida:

5%

Arizona:

35%

New York:

10%

Career Outcomes

Computing and industrial engineers with a background in data science can pursue opportunities in a variety of fields to manage and analyze data, and extract knowledge from large data sets for decision making.

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Median Earnings After Graduation

$95,000 / year

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Graduation Rate

66%

Prospective Job Roles

Data Engineer

Information Systems Manager

Consulting

Manufacturing Engineer

Analyst Programmer

Data analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • 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: 115

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    Transcript

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    Passport

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    Resume

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    Personal Statement

Application Deadlines

Standard Deadline
FallDec 31, 2024

Fees and Funding

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Tuition Fees

$21,516 / year

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Overall Cost

$43,239 / year

FAQs

  • Admissions Requirements:

    To gain admission to the Master of Science in Data Science and Analytics program at Arizona State University, prospective students must meet the following requirements:

    1. A completed application form along with a fee of $115.
    2. Official transcripts from all previously attended educational institutions.
    3. Supporting documents including a personal statement, a resume, and proof of English proficiency, typically demonstrated through the IELTS exam with a minimum score of 7.0.
    4. While standardized test scores such as the GRE are not required, applicants are encouraged to highlight their aptitude through relevant coursework or experience in data science and analytics.
  • Program Structure:

    The Master of Science in Data Science and Analytics is structured as a 24-month graduate program. The curriculum is designed to provide a blend of theoretical knowledge and practical skills necessary for success in the data science field. Key components of the program include:

    • A comprehensive curriculum covering statistical analysis, machine learning, data visualization, and data management techniques.
    • Specialized courses such as Data Mining, Machine Learning, Data Visualization, Big Data Analytics, Statistical Methods for Data Science, and Database Management Systems.
  • Teaching Methods:

    The Master of Science in Data Science and Analytics program employs a teaching methodology that emphasizes experiential learning. The key features of this approach include:

    • Encouragement of collaboration and innovation among students.
    • Engagement in rigorous discussions related to current trends and challenges in data analytics.
    • Access to industry leaders and scholars as faculty, who provide valuable insights and practical experience.
  • Career Prospects:

    Graduates of the Master of Science in Data Science and Analytics program have excellent career prospects. They are well-prepared to pursue roles such as:

    • Data Engineer
    • Information Systems Manager
    • Analyst Programmer
    • Consulting Analyst

    Additionally, the program boasts a median starting salary of approximately $95,000, reflecting the substantial financial rewards associated with careers in this field.

  • Unique Aspects of the Program:

    The Master of Science in Data Science and Analytics program offers several unique features that enhance the student experience:

    • An innovative curriculum that includes hands-on experience with cutting-edge tools and technologies.
    • Research opportunities that allow students to engage in impactful projects in areas such as artificial intelligence, data ethics, and advanced statistical modeling.
    • Strong industry connections that provide access to internships and networking opportunities, enhancing employability.
    • A diverse learning environment with a vibrant community of learners from various backgrounds.
  • Research Opportunities:

    The program actively supports research initiatives by providing students access to cutting-edge resources and projects. Students are encouraged to:

    • Engage in research exploring various facets of data science.
    • Participate in projects that focus on artificial intelligence, data ethics, and advanced statistical modeling.
    • Collaborate with faculty and industry partners to contribute to impactful research.
  • Industry Connections:

    Arizona State University maintains strong ties with various organizations across multiple sectors, including:

    • Technology
    • Healthcare
    • Finance
    • Manufacturing

    These connections facilitate valuable internship opportunities and networking events that can significantly enhance a student's career trajectory.

  • Program Highlights:

    Several compelling reasons make the Master of Science in Data Science and Analytics program at Arizona State University stand out:

    • Innovative curriculum covering essential data science skills.
    • Expert faculty who are leaders in the field.
    • Abundant research opportunities with state-of-the-art resources.
    • Strong industry connections leading to internships and networking.
    • High employability rates and competitive salaries for graduates.
    • Diverse learning environment that promotes collaboration.

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