Master of Science in Computer Science Postgraduate Program By The University of Texas at Arlington |Top Universities
Subject Ranking

# 651-700QS Subject Rankings

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The M.S. in Computer Science degree program provides graduates the latest theoretical and hands-on skills for gaining employment in the ever-growing IT industry, or to prepare for continuation to a Ph.D. program.
The M.S. degree in computer science is intended to give those who successfully complete it:
  • An ability to understand fundamental concepts of algorithms, programming languages, data structures, and all core mathematical foundations.
  • In-depth knowledge of their selected major track (e.g., AI, data analytics, networks and wireless systems, cybersecurity, bioinformatics, and software engineering).
  • An ability to apply this knowledge to subject areas in order to solve real-life problems such as image processing, text mining, speech recognition, health informatics and bioinformatics, and social network data.
Candidate selection for the M.S. in Computer Science program is a very a competitive process, considering GPA, performance in computer-related classes, TOEFL or IELTS (for non-English-speaking candidates), GRE, and reputation of the university where you did your undergraduate studies. Relevant recent work experience is considered in cases where educational credentials are dated or not in the computer science field.

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The M.S. in Computer Science degree program provides graduates the latest theoretical and hands-on skills for gaining employment in the ever-growing IT industry, or to prepare for continuation to a Ph.D. program.
The M.S. degree in computer science is intended to give those who successfully complete it:
  • An ability to understand fundamental concepts of algorithms, programming languages, data structures, and all core mathematical foundations.
  • In-depth knowledge of their selected major track (e.g., AI, data analytics, networks and wireless systems, cybersecurity, bioinformatics, and software engineering).
  • An ability to apply this knowledge to subject areas in order to solve real-life problems such as image processing, text mining, speech recognition, health informatics and bioinformatics, and social network data.
Candidate selection for the M.S. in Computer Science program is a very a competitive process, considering GPA, performance in computer-related classes, TOEFL or IELTS (for non-English-speaking candidates), GRE, and reputation of the university where you did your undergraduate studies. Relevant recent work experience is considered in cases where educational credentials are dated or not in the computer science field.

Admission requirements

Undergraduate

83+
3+
305+
6+
Aug

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

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