The Best
Computer Science Master’s Degree Programs of 2021

This program by ASU provides high-quality instruction using real-world experience. You will work on projects to thoroughly understand cutting-edge topics such as cyber security, AI, blockchain, and big data. It runs for one year.

Other main topics in this program include cloud and distributed computing, bioinformatics, and data mining. Students will learn about computer networks, computer-aided geometric design, and machine learning.

This master’s degree program is for students who want to deepen and broaden their computer science knowledge. It also provides an opportunity for students to learn specific computer science subdisciplines.

Currently, there are eight concentrations to choose from. Two of them are Computational Biology and Vision, Graphics, Interaction, and Robotics. During the program, students are also expected to complete lab work and take part in the research.

This two-semester program is very small and highly selective. It is ideal for students who want to advance their careers. The program involves advanced coursework, writing, research, and teaching. Self-motivated students are encouraged to apply.

During the program, students can serve as teaching assistants. It requires 34 credit hours of work. The thesis research takes up between six and 12 credit hours.

This master’s program blends practice and theory to produce skilled professionals. It trains students in current applications and technologies. Students who graduate from this program are ready for careers in research and can focus on doctoral study.

There are two options for computer science master’s candidates. You can choose between a course-only master’s, or a project- or thesis-based master’s. For either, 30 hours of course credits are required.

This master’s degree program is designed for people with a bachelor’s degree. People with non-computer science degrees can also apply. However, they may need to complete some remedial coursework as well as the master’s degree requirements.

The program offers 11 different areas of specialization for students to choose from. Students can customize the program to fit their areas of specialization.

John Hopkins University’s master’s program offers a blend of research-based and practical knowledge in different areas. Students focus on software engineering, bioinformatics, and cyber security.

The program produces scientists, computer professionals, and engineers with skill-building opportunities in different areas. These areas include analysis, theory, implementation, and design of information systems.

This program from Michigan State University has two options for master’s students. You can complete the program with or without a thesis. Both have a requirement of 30 credits.

Some of the topics covered include advanced computing architecture, distributed systems, parallel computing, and advanced software engineering.

This program is based on attendance and coursework. It does not have a thesis, research, or comprehensive examination requirements. The program is mostly part-time as students are self-supported.

The program requires 31 graduate credits to complete. Courses in theory and systems are compulsory. There are student internships for students after two semesters.

The philosophy of this program is to provide attendees with the fundamentals of engineering and computer science. Students also study specialized areas of interest. The program has advisors on hand to help you choose a suitable area of specialization.

This program has two options to choose from. Students can choose the thesis option, which is a research track. They can also choose the non-thesis option and focus on coursework.

Princeton offers a Master’s Degree in Computer Science with two options. It has a thesis and non-thesis track. The program is full-time and can be finished in two years. Some of the main courses include advanced computer graphics, computational complexity, and data structures.

Other topics include parallel architecture, models, biological networks, and mathematical models. Geometric modeling is also another subject covered in detail.

Purdue’s master’s program requires students on the non-thesis track to take 10 three-credit courses. Students who choose to write a thesis are only required to take eight three-credit courses. Some of its elective courses include Data Mining, Bioinformatics, and Numerical Computing.

The program takes around four semesters. The maximum load for each semester is four courses. Students on assistantships cannot do more than three in a semester. Some people can complete the program in 12 months.

Rice University’s master’s degree is for people who are in pursuit of tech careers. The program is full-time and can be completed in three semesters. Students learn top programming languages, robotics, networks, logic, and verification. These skills can help them stand out in the workforce. It is also possible to take this master’s degree online.

This program has different specializations for students to choose from. Some of the main topics include artificial intelligence, human-computer interaction, and biocomputation. Other topics include real-world computing, theoretical computer science, and software theory.

It can be taken part time but most students finish in between three to five years. It has a 45-unit requirement and students must finish it within five years of enrolling in the program.

This computer science master’s program has three completion options. You can choose the basic project, advanced project, or thesis. It offers several subjects like logic, data science, operating systems, wireless networks, and robotics. It is possible to complete the program in three semesters.

The university prefers students with computer science degrees or something related to it. Others can apply if they show exceptional promise. However, they may need to take extra computer science courses to meet the requirements.

This professional degree requires 30 credit hours. To graduate from the program, students must choose one of the following: systems, software, or theory.

The Texas A&M University Master’s Degree in Computer Science is a research degree. Students are required to write a thesis as well as a final examination. The thesis defense is required as well.

This program prepares you for a career in research. It is a pathway to PhD study and offers opportunities to fund the degree through research and teaching assistantships.

To earn the master’s degree, students are expected to complete coursework worth 24 credit hours. Depending on the selected option, you may need to complete six hours of independent study credit or thesis credit.

The University of Florida offers a master of science program through its college of engineering. Some of the core courses include programming language principles and analysis of algorithms. It has both thesis and non-thesis tracks.

You need to complete 30 credits to complete the programs. Some of the electives in this program include machine learning, computational molecular biology, and neural networks.

This program has a data science concentration option for students. It requires 30 credits for completion and takes four semesters. This can mean two years in most cases. The main areas of research in this program include computer networks, machine learning, web retrieval, and artificial intelligence.

Students enrolling in this program must have an undergraduate background in technical courses and computer science.

This program requires 30 credits before students can graduate. They have the option of writing a thesis or not. It can be completed in one to three years. There are some extra topics attached to the program, including compilers, chip design, distributed systems, human-computer interaction, and data mining.

This program offers intensive training in theory, design programming, and applications. It is for students with professional and academically-oriented goals who want to learn computing theory and technology.

It has courses on different subfields in computer science. Some include operating systems, automata theory, computer architecture, and database design. It also includes software systems, computational complexity, and computer vision.