B.S. in Computational Mathematical Sciences

Tempe

 

INTAKE: Jan & Aug

Program Overview

Arizona State University's B.S. in Computational Mathematical Sciences stands at the forefront of innovation, offering students an interdisciplinary journey through the realms of mathematics and computing. Recognized as a STEM designated program, the degree is designed to equip graduates with the skills needed for success in the dynamic fields of mathematics and computing. The curriculum is built on a strong foundation of mathematics, encompassing crucial areas like calculus, linear algebra, and discrete mathematics. Simultaneously, students dive into the world of advanced computing, mastering programming languages, algorithms, and data structures. The program's strength lies in its practical approach, emphasizing the application of computational and mathematical concepts to real-world challenges. Graduates emerge with the ability to address complex problems across industries, from finance to technology and scientific research. ASU's B.S. in Computational Mathematical Sciences is not just an academic pursuit; it's a transformative experience that prepares students to thrive in the evolving landscape of computational mathematics.

Curriculum:

  1. Interdisciplinary Approach: The B.S. in Computational Mathematical Sciences at ASU adopts an interdisciplinary approach, integrating mathematics, computer science, and computational techniques to address complex real-world problems.

  2. STEM Designation: Recognized as a STEM (Science, Technology, Engineering, and Mathematics) designated program, this degree emphasizes rigorous training in STEM disciplines, ensuring graduates are well-prepared for careers at the intersection of mathematics and computing.

  3. Foundational Mathematics: The program provides a strong foundation in mathematics, covering areas such as calculus, linear algebra, and discrete mathematics, essential for understanding and solving computational problems.

  4. Advanced Computing Skills: Students gain advanced computing skills, including programming languages, algorithms, and data structures, enabling them to develop computational solutions for mathematical challenges.

  5. Real-World Applications: The curriculum focuses on applying computational and mathematical concepts to real-world scenarios, preparing students for diverse roles in industries such as finance, technology, and scientific research.

Pollster Education

Location

Tempe

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 32760

Entry Requirements for International students applying to undergraduate programs.

  1. Academic Requirements:

    • International undergraduate students aspiring to Arizona State University are typically required to showcase a strong academic foundation. The university sets a minimum academic achievement benchmark of 80% or above in their secondary education. This standard ensures that incoming students possess the necessary academic skills to thrive in the rigorous academic environment at ASU.
       
  2. English Language Proficiency: 
     
    • A minimum overall IELTS band score of 6.5 is required. No individual band score should be less than 6 to meet the English language requirement.
    • A minimum TOEFL score of 79 on the internet-based test (iBT) is necessary to fulfill the English language requirement.
    •  An overall PTE score of 58 or higher is required to meet the English language proficiency standard.
    • A DET score of 105 or higher is necessary to satisfy the English language proficiency requirement.

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's B.S. in Computational Mathematical Sciences opens doors to a diverse array of dynamic career prospects, where graduates can apply their expertise in mathematics and computing to shape the future. As data scientists, they play a crucial role in analyzing and interpreting vast datasets for informed decision-making across industries. With proficiency in programming and algorithms, graduates can thrive as software developers, contributing to the creation of innovative software solutions. The program equips students for roles as quantitative analysts in the finance industry, where they apply mathematical models and statistical techniques to analyze financial data. Graduates may also explore exciting careers as cryptanalysts or cryptographers, contributing to the development and analysis of secure communication systems. The optimization and modeling skills acquired in the program make students well-suited for roles as operations research analysts, optimizing processes within organizations. The program prepares graduates for careers as machine learning engineers, contributing to the development of intelligent systems and algorithms. ASU's B.S. in Computational Mathematical Sciences not only provides a solid academic foundation but also empowers graduates to excel in a variety of industries where mathematics and computing intersect.

  1. Data Scientist: Graduates can embark on careers as data scientists, leveraging their computational and mathematical skills to analyze and interpret large datasets for informed decision-making in various industries.

  2. Software Developer: With expertise in programming and algorithms, students can pursue roles as software developers, contributing to the design and implementation of innovative software solutions.

  3. Quantitative Analyst: The program prepares students for roles as quantitative analysts, where they apply mathematical models and statistical techniques to analyze financial data in the finance industry.

  4. Cryptanalyst/Cryptographer: Graduates may explore careers as cryptanalysts or cryptographers, contributing to the development and analysis of secure communication systems.

  5. Operations Research Analyst: The skills acquired in optimization and modeling make graduates well-suited for roles as operations research analysts, optimizing processes and decision-making within organizations.

  6. Machine Learning Engineer: With a foundation in computational techniques, graduates can pursue careers as machine learning engineers, contributing to the development of intelligent systems and algorithms.


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