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M.S. in Data Science, Analytics and Engineering -Computing and Decision Analytics

Tempe

 

INTAKE: Jan & Aug

Program Overview

The M.S. in Data Science, Analytics, and Engineering - Computing and Decision Analytics program at ASU is designed for aspiring professionals seeking to make a significant impact in the realm of data-driven decision-making. Students delve into a multifaceted curriculum, mastering computing tools, statistical methods, and decision science frameworks. The specialization in Decision Analytics sets this program apart, as students not only gain proficiency in data analysis but also acquire the skills to influence strategic decisions within organizations.Through hands-on projects and collaboration with industry partners, students apply their knowledge to real-world scenarios, ensuring they are well-prepared for the challenges of the rapidly evolving field. The program's commitment to staying at the forefront of technological advancements, coupled with its strong network of industry connections, positions graduates for success in a variety of roles, from data scientists to decision analysts and beyond. Joining ASU's M.S. in Data Science, Analytics, and Engineering program is a strategic investment in a future where data-driven insights power innovation and guide strategic decision-making.

Curriculum:

  1. Interdisciplinary Curriculum: The program boasts a comprehensive curriculum that seamlessly integrates elements of data science, analytics, and engineering. This interdisciplinary approach equips students with a holistic skill set, encompassing computing technologies, advanced analytics, and decision-making frameworks.

  2. Specialization in Decision Analytics: A distinctive feature is the program's emphasis on Decision Analytics, offering students specialized knowledge in making informed decisions based on data-driven insights. Courses delve into advanced statistical modeling, optimization techniques, and machine learning algorithms tailored for decision support.

  3. Hands-On Learning and Real-World Applications: ASU places a strong emphasis on practical, hands-on learning. Students engage in real-world projects, collaborating with industry partners and faculty mentors. This practical exposure ensures that graduates are not only well-versed in theoretical concepts but are also adept at applying their skills to solve complex, industry-relevant problems.

  4. Cutting-Edge Technologies: Staying abreast of industry trends, the program incorporates the latest technologies shaping the field. Students work with state-of-the-art tools and platforms used in the industry, ensuring they graduate with a skill set that aligns with the current demands of the data science and analytics landscape.

  5. Collaboration with Industry Leaders: ASU's strong ties with industry leaders and organizations provide students with unique opportunities for internships, collaborative projects, and networking. This collaboration ensures that the program remains aligned with the dynamic needs of the industry, and students gain valuable insights from practitioners.

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Location

Tempe

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Score

IELTS: 7

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Tuition Fee

USD 35280

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.

Master of Science (M.S.) in Data Science, Analytics, and Engineering with a focus on Computing and Decision Analytics at Arizona State University (ASU) opens doors to a myriad of exciting career prospects in the ever-evolving field of data science. This program is meticulously crafted to equip graduates with the skills and knowledge necessary to navigate the complex landscape of computing and decision analytics. The M.S. in Data Science, Analytics, and Engineering - Computing and Decision Analytics program at ASU not only prepares students with technical skills but also cultivates the analytical mindset needed for successful careers. Whether contributing to established organizations, driving innovation in startups, or pursuing entrepreneurial ventures, graduates emerge ready to make meaningful contributions to the ever-expanding field of data science. ASU's dedication to excellence and innovation shines through in the success stories of its alumni, solidifying the program's reputation as a launchpad for rewarding and impactful careers in data science.

  1. Data Scientist: Graduates are well-prepared to step into the role of a data scientist, leveraging their expertise in computing and decision analytics to derive meaningful insights from vast datasets. They play a pivotal role in guiding organizational strategies through data-driven decision-making.

  2. Business Intelligence Analyst: Professionals with a specialization in decision analytics are in high demand in the realm of business intelligence. They translate complex data into actionable insights, aiding companies in making informed decisions to achieve strategic goals.

  3. Machine Learning Engineer: With a strong foundation in computing and decision analytics, graduates can pursue roles as machine learning engineers. They design and implement algorithms that enable machines to learn and make predictions, contributing to advancements in artificial intelligence.

  4. Quantitative Analyst: The finance industry values professionals who can analyze large datasets to inform financial strategies. Graduates may find opportunities as quantitative analysts, utilizing their computing skills to assess risk and make data-driven financial decisions.

  5. Cybersecurity Analyst: The program's emphasis on computing extends to the realm of cybersecurity. Graduates are equipped to tackle the growing challenges of protecting digital assets by analyzing and interpreting data to identify and prevent security threats.

  6. Research Scientist: For those inclined towards research, opportunities abound in roles such as research scientists. They contribute to the development of new algorithms, models, and analytical methods, pushing the boundaries of what is possible in the field of data science.

  7. Consultant in Decision Analytics: Consulting firms seek professionals with expertise in decision analytics to guide clients in optimizing their processes and making strategic decisions based on robust data analysis.

  8. Healthcare Data Analyst: The healthcare industry relies on data for patient care, resource allocation, and research. Graduates can enter roles as healthcare data analysts, working to improve the efficiency and effectiveness of healthcare systems.

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