M.S. in Computer Science - Databases/Data Mining

Phoenix, Arizona

 

INTAKE: Jan & Aug

Program Overview

The M.S. in Computer Science - Databases/Data Mining program at Arizona State University focuses on the principles, methodologies, and technologies involved in managing and analyzing large-scale databases. Students gain expertise in designing efficient database systems, implementing data mining algorithms, and extracting valuable insights from vast amounts of data.

STEM Designation: The M.S. in Computer Science - Databases/Data Mining program at Arizona State University holds a STEM designation. 

Curriculum:

  1. Core Computer Science Courses: The program includes core computer science courses that cover essential topics such as algorithms, data structures, programming languages, and database systems. These courses provide a strong foundation in computer science fundamentals.

  2. Database Management Systems: The curriculum offers specialized courses that delve into the theory and practice of database management systems (DBMS). Students learn about relational database models, schema design, indexing, query optimization, and transaction processing. They also gain hands-on experience with popular DBMS platforms.

  3. Data Mining and Machine Learning: The program includes courses that focus on data mining techniques and machine learning algorithms. Students learn how to extract meaningful patterns and insights from complex datasets, and they explore algorithms for classification, clustering, association rule mining, and text mining. They gain practical skills in data analysis and predictive modeling.

  4. Big Data Technologies: The curriculum addresses the challenges and opportunities presented by big data. Students learn about distributed and parallel computing frameworks, such as Apache Hadoop and Apache Spark, that enable the processing and analysis of massive datasets. They gain experience in working with real-world big data applications.

Pollster Education

Location

Phoenix, Arizona

Pollster Education

Score

IELTS : 7

Pollster Education

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 65% 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.
    • PTE (Pearson Test of English) with a minimum score of 68
    • DET (Duolingo English Test) with a minimum score of 125.
       
  3. Graduate Record Examination (GRE) 

    • The typical range for GRE scores accepted by ASU is 316.

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.

Graduates of the M.S. in Computer Science - Databases/Data Mining program at Arizona State University have promising career prospects in a variety of industries that rely on efficient data management and data-driven decision-making. 

  1. Database Administrator: Graduates can work as database administrators, responsible for designing, implementing, and managing large-scale databases in organizations. They ensure data integrity, security, and performance, and they collaborate with software developers and analysts to optimize database structures and query performance.

  2. Data Scientist: With their knowledge of data mining techniques and machine learning algorithms, graduates can pursue careers as data scientists. They can work on extracting insights from complex datasets, building predictive models, and developing data-driven solutions for business intelligence, marketing analytics, fraud detection, and recommendation systems.

  3. Data Engineer: Graduates can work as data engineers, focusing on the design and implementation of data processing pipelines and infrastructure. They develop scalable data architectures, integrate disparate data sources, and ensure data quality and reliability. They play a crucial role in enabling efficient data analysis and storage.

  4. Business Intelligence Analyst: Graduates can work as business intelligence analysts, helping organizations make data-driven decisions. They analyze data to identify trends, create visualizations and dashboards, and provide insights to support strategic planning, performance optimization, and competitive analysis.


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