M.S. in Data Science, Analytics and Engineering - Human-Centered Applications

The university has specific entry requirements for international students applying to postgraduate programs. 

1. Academic Requirements:

   • For postgraduate programs at ASU, international students should have a minimum undergraduate GPA of 3.0 on a 4.0 scale or equivalent. This is typically equivalent to 70% and above.
      

2. English Language Proficiency:

   • For most postgraduate programs, a minimum overall IELTS score of 7 is required, with no band score less than 6.5.  
   • The minimum TOEFL iBT (internet-based test) score required is 90.
     • DET (Duolingo English Test) with a minimum score of 125.

The University of Arizona State University (ASU) is a renowned public research university located in the United States. 

1. Merit-based Scholarships: ASU offers a range of merit-based scholarships to international students based on their academic achievements. These scholarships recognize outstanding academic performance, leadership potential, and extracurricular involvement. Examples of merit-based scholarships include the New American University Scholarship, President's Scholarship, and Provost's Scholarship.

2. International Excellence Awards: ASU provides International Excellence Awards to exceptionally talented international students. These awards are highly competitive and are based on criteria such as academic achievements, contributions to the community, and potential for future success. The International Excellence Awards are available at both undergraduate and graduate levels.

3. Financial Need-based Scholarships: ASU also offers scholarships to international students based on their financial need. These scholarships aim to provide financial assistance to deserving students who may require additional support to pursue their education. Students are required to demonstrate their financial need through appropriate documentation.

4. Departmental Scholarships: Many departments and colleges within ASU offer scholarships specific to their academic disciplines. These scholarships are designed to support students pursuing studies in particular fields of study. Students should inquire directly with their respective departments or colleges to explore scholarship opportunities related to their area of interest.

5. External Scholarships: ASU encourages international students to explore external scholarship opportunities from government agencies, foundations, corporations, and other organizations. The university provides resources and guidance to assist students in identifying and applying for external scholarships that may be available to them.

It's important to note that scholarship availability, eligibility criteria, and application processes may vary. Students should review the specific requirements and deadlines associated with each scholarship opportunity and prepare their applications accordingly.

Arizona State University (ASU) offers a forward-looking M.S. in Data Science, Analytics, and Engineering with a specialized focus on Human-Centered Applications. This program uniquely integrates data science methodologies with a profound emphasis on addressing human needs and experiences. Graduates are well-equipped to navigate the intersection of technology and human-centric solutions, opening doors to diverse and impactful career opportunities.The M.S. in Data Science, Analytics, and Engineering - Human-Centered Applications program at ASU not only opens doors to diverse career paths but empowers graduates to drive positive change at the intersection of technology and human experiences. The combination of technical expertise, strategic thinking, and a focus on societal impact makes this program a compelling choice for those aspiring to lead in the dynamic field of data science with a human-centric approach.

1. Emerging Roles in Human-Centered Data Science: Graduates of this program are poised to take on roles at the forefront of human-centered data science. They are prepared to leverage data analytics to enhance user experiences, design intuitive interfaces, and contribute to the development of technologies that prioritize human well-being.

2. User Experience (UX) Design and Research: With a deep understanding of both data science and human-centered principles, alumni are well-suited for roles in UX design and research. They can contribute to creating products and systems that resonate with users, ensuring a seamless and engaging experience.

3. Data-Driven Decision-Making in Human Services: The program prepares students for careers in human services, where data-driven decision-making is becoming increasingly vital. Graduates can work in areas such as healthcare, education, and social services, applying analytics to improve outcomes and streamline processes.

4. Human-Centric Product Development: In the technology industry, there is a growing demand for professionals who can bridge the gap between data science and human needs. Graduates are positioned to contribute to human-centric product development, influencing the creation of technologies that align with societal values and expectations.

5. Consulting and Entrepreneurship: Equipped with a solid foundation in data science and human-centered applications, alumni are prepared for consulting roles. They can also explore entrepreneurship, leveraging their skills to develop solutions that meet specific human challenges, from personalized health technologies to educational platforms.

6. Strategic Networking and Industry Engagement: ASU's extensive industry connections and networking opportunities play a pivotal role in shaping the career prospects of graduates. The program facilitates engagement with professionals and companies at the forefront of human-centered applications, providing a bridge to potential employers and mentors.

7. Nurturing Future Leaders: ASU's commitment to fostering innovation and ethical leadership is embedded in the program. Graduates not only acquire technical skills but also develop a strategic mindset, positioning them as future leaders who can navigate the evolving landscape of data science and human-centered technology.