M.S.E. in Electrical Engineering
The M.S.E. in Electrical Engineering program at Arizona State University is designed to...
ASU - Tempe
INTAKE: Jan & Aug
The Masters in Computer Science (Big Data Systems) program at Arizona State University is designed to equip students with advanced knowledge and skills in managing and analyzing large-scale data sets. The program combines rigorous coursework, practical projects, and research opportunities to prepare students for careers in data-intensive industries and research institutions.
STEM Designation: The Masters in Computer Science (Big Data Systems) program at Arizona State University is designated as a STEM program.
Curriculum:
Core Computer Science Courses: The program offers a comprehensive set of core courses that cover key areas of computer science, including algorithms, data structures, programming languages, operating systems, and computer networks. These courses provide students with a strong foundation in computer science principles and practices.
Big Data Systems Specialization: The curriculum includes specialized courses that focus on big data systems, such as data management, data mining, distributed computing, cloud computing, and machine learning. These courses delve into the challenges and techniques of processing, storing, and analyzing massive data sets, equipping students with the necessary skills to work with big data technologies.
Project-Based Learning: The program emphasizes hands-on, project-based learning to provide students with practical experience in implementing big data systems. Students work on real-world projects that involve data acquisition, storage, processing, and analysis using industry-standard tools and technologies. This experiential learning approach enhances students' problem-solving abilities and prepares them for real-world challenges in big data systems.
Research Opportunities: Arizona State University offers research opportunities for students to engage in cutting-edge research in the field of big data systems. Students can collaborate with faculty members on research projects, contribute to scientific publications, and gain valuable research experience. This exposure to research enhances students' analytical and critical thinking skills and prepares them for further academic pursuits or research-oriented careers.
ASU - Tempe
IELTS : 7
USD 35280
The university has specific entry requirements for international students applying to postgraduate programs.
Academic Requirements:
English Language Proficiency:
Graduate Record Examination (GRE)
The University of Arizona State University (ASU) is a renowned public research university located in the United States.
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.
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.
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.
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.
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.
Graduates of the Masters in Computer Science (Big Data Systems) program at Arizona State University have excellent career prospects in various industries and sectors.
Big Data Engineer: Graduates can work as big data engineers, responsible for designing, building, and maintaining large-scale data processing systems. They develop efficient algorithms, implement data storage and retrieval mechanisms, and optimize data processing workflows. Big data engineers work in industries such as technology, finance, healthcare, and e-commerce.
Data Scientist: With expertise in big data systems and analytics, graduates can pursue careers as data scientists. They analyze complex data sets, extract insights, and develop predictive models using advanced statistical and machine learning techniques. Data scientists work across industries, helping organizations make data-driven decisions and solve complex business problems.
Data Architect: Graduates can work as data architects, designing and managing data infrastructure for organizations. They develop data schemas, define data integration strategies, and ensure data security and privacy. Data architects play a crucial role in designing scalable and efficient data systems to support business operations and analytics.
Research Scientist: Graduates can pursue research-oriented careers as research scientists or data analysts in academic institutions, research organizations, or R&D departments of companies. They conduct advanced research, develop new algorithms and methodologies, and contribute to the advancement of the field of big data systems.