M.S.E. in Electrical Engineering
The M.S.E. in Electrical Engineering program at Arizona State University is designed to...
M.S. in Data Science, Analytics and Engineering - Computational Models and Data
Tempe , West
INTAKE: Jan & Aug
Program Overview
The M.S. in Data Science, Analytics, and Engineering - Computational Models and Data at ASU is a dynamic and forward-thinking program that goes beyond the basics of data analysis. It is crafted to meet the evolving needs of industries that rely on data for strategic decision-making. Students are immersed in a comprehensive learning experience that encompasses statistical modeling, computational methods, and the practical application of data science.This cutting-edge program, with a specialized focus on Computational Models and Data, equips students with the skills and knowledge to navigate the complexities of the modern data landscape. The program empowers students to become proficient data scientists who not only understand the intricacies of analytics but also possess the computational prowess to develop models that drive innovation. Graduates of this program are poised to make significant contributions to the evolving field of data science, whether in research, industry, or entrepreneurial pursuits. ASU's commitment to excellence and innovation shines through in this program, making it an ideal choice for those aspiring to lead in the data-driven future.The specialized focus on computational models distinguishes this program, positioning graduates as experts who can harness the power of algorithms to extract valuable insights from complex datasets. With a curriculum that balances theory and practical skills, students are well-prepared to tackle the challenges of the data-driven world.
Curriculum:
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Holistic Curriculum Design: The program's curriculum is meticulously designed to provide a holistic understanding of data science, analytics, and engineering. Core courses delve into statistical modeling, machine learning, and computational methods, ensuring a well-rounded skill set for the future data professional.
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Specialization in Computational Models: A distinguishing feature of this program is its emphasis on computational models. Students delve deep into the creation, optimization, and application of models that underpin data-driven decision-making. The curriculum addresses the synergy between sophisticated algorithms and real-world applications.
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Data-Driven Decision-Making: ASU recognizes the critical role of data in shaping business strategies. The program focuses on developing students' abilities to leverage data for informed decision-making. From data collection to interpretation, graduates emerge adept at extracting actionable insights.
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Practical Application and Project Work: Practical application is a cornerstone of the program. Students engage in hands-on projects, applying theoretical concepts to real-world scenarios. This experiential learning approach hones their problem-solving skills and prepares them for the demands of the data science landscape.
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Interdisciplinary Approach: Recognizing that data science transcends traditional boundaries, the program adopts an interdisciplinary approach. Students collaborate across disciplines, gaining a broader perspective that reflects the multifaceted nature of data science applications in various industries.
Location
Tempe , West
Score
IELTS: 7
Tuition Fee
USD 35280
The university has specific entry requirements for international students applying to postgraduate programs.
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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.
- 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.
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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.
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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.
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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.
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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.
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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.
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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 Computational Models and Data at Arizona State University (ASU) opens doors to a wealth of career opportunities at the intersection of technology, data, and innovation. The M.S. in Data Science, Analytics, and Engineering with a focus on Computational Models and Data at Arizona State University paves the way for a diverse range of exciting career paths. Graduates emerge as skilled professionals ready to contribute to the rapidly evolving fields of data science and engineering, making a meaningful impact in various sectors.
1. Data Scientist/Analyst: Graduates are well-equipped for roles as data scientists or analysts, leveraging advanced computational models to extract meaningful insights from vast datasets. They play a crucial role in guiding strategic decision-making by interpreting complex data patterns.
2. Machine Learning Engineer: The program prepares individuals for careers as machine learning engineers, specializing in designing and implementing machine learning algorithms and models. Graduates contribute to developing intelligent systems and applications.
3. Computational Modeling Specialist: With a focus on computational models, graduates can pursue roles as specialists in creating and refining models for diverse applications, including simulations, optimizations, and predictions. This expertise is highly valued in research and industry settings.
4. Big Data Engineer: As organizations grapple with massive datasets, there is a growing demand for professionals capable of managing and engineering big data solutions. Graduates are well-positioned for roles as big data engineers, designing scalable infrastructure for data storage and processing.
5. Research Scientist: The program's emphasis on computational models and data prepares individuals for roles as research scientists. Graduates may engage in cutting-edge research, contributing to advancements in data science, artificial intelligence, and engineering.
6. Strategic Skills for Future Challenges: The program not only addresses current industry needs but also equips graduates with adaptable skills to meet the evolving challenges of the future. This strategic preparation ensures that alumni remain competitive in the dynamic landscape of data science and engineering.
