Best 339 Master of Science Programs in Computer Science 2019

The Master of Science in Computer Science degree features two (2) majors:

Students engage in graduate research utilizing state-of-the-art experimental and/or computational research facilities under close faculty supervision in Computer Science, Logistics-Analytics, or Big Data Analytics.

Upon completion of the Master of Science in Computer Science Degree, students will be able to:

The rapidly changing technological environment means that getting ahead of changes and developments is essential – especially for those working in the IT environment.

Our online MSc in Data Analytics and Enterprise Architecture will provide you with an understanding of how to identify and design appropriate methods of gathering data in the complex modern computing systems of today and how to draw insights from this, and present data to inform decision making.

A bachelor's degree or diploma equivalent to a UK honours degree at a minimum of second class (2.2). If you are not an English native speaker, you will be required to provide us with a proof of English language level equivalent to IELTS 6.5 or above... [-]

World-leading academics

The University of Bath provides working professionals, or those with no previous experience, with trailblazing, practice-based teaching, aimed to inspire you and make you ready for a career in computer science. Throughout studying the online computer science degree you’ll be taught by inspirational research academics, whose work leads the way in AI, Human-Computer Interaction and cybersecurity. It’s because of this that many of the on-campus graduates have secured positions with huge companies such as Electronic Arts, Nokia and KPMG, and you can follow in their footsteps.... [-]

Modern businesses need skilled experts to sift through and interpret mass amounts of data in order to inform strategy and help guide decisions. Designed for highly motivated individuals interested in building their quantitative, design, and business skills, the Katz School's MS in Data Analytics and Visualization focuses on data management, modeling, interpretation, and reporting, as well as algorithm development and data science.

You can complete your degree in as little as one year on a full-time schedule or at your own pace part time — either on campus or online. Through project-based coursework, you will gain the experience and insights to effectively interpret and leverage data. You will build an impressive portfolio of projects that will demonstrate the equivalent of five years of work experience in the short time it takes to earn your degree.... [-]

Do you want to solve the challenges of the future using Big Data? In our master program in Data Science, you will learn how to combine informatics, mathematics, and statistics with data analysis to deal with Big Data challenges.

Carnegie Mellon University in Australia

The MSIT-BIDA program combines a comprehensive information technology and management curriculum with BIDA courses, a compulsory 400 hours of internship and an industry-based Data Analytics Capstone Project.

MSIT-BIDA is tailored for students seeking to develop cutting-edge skills in IT Management and data analytics. As analytics professionals and data scientists, intelligent in their application of technology, graduates can provide value for organizations by understanding how technology interacts with business processes, strategy, and policy. These desirable skills, coupled with advanced knowledge in business intelligence and “big data” technologies make graduates highly sought after individuals.... [-]

The Big Data technology and services market represents a fast-growing multibillion-dollar worldwide opportunity. A recent International Data Cooperation (IDC) forecast shows that the Big Data technology and services market will grow at a 26.4% compound annual growth rate to $41.5 billion through 2018, or about six times the growth rate of the overall information technology market. Additionally, by 2020 IDC believes that “line of business buyers will help drive analytics beyond its historical sweet spot of relational (performance management) to the double-digit growth rates of real-time intelligence and exploration/discovery of the unstructured worlds”. The value of data science skills, and resulting demand for skilled practitioners, is a well-known challenge within the emerging big data analytics industry.... [-]

The MS in Applied Data Science prepares students with the practical analytical and technical skills to apply analytical concepts to gain insight from small and large datasets. The curriculum offers an innovative blend of information science and management principles. While the overall program focuses on applications of data science to enterprise operations and processes, individual courses tackle data handling issues such as data capture, management, analysis, and communication for decision-making.

Ranked as Glassdoor’s No. 1 best job of 2016 and 2017, data scientists are critical to the success of any organization. As the data science field evolves, the demand for analytics skills continues to grow. Employers are actively seeking candidates with the advanced technical expertise to make data-driven decisions.... [-]

The Master of Science in Applied Computer Science program offers a broad range of courses in theoretical computer science, software construction, data analytics, cloud computing, emerging and converging technologies and many more, which provide the much-needed opportunity for the development of a high degree of specialization and critical experience as computer professionals.

Students will further their knowledge through advanced courses in their area(s) of interest. They will enhance their technical and professional skills which are vital in the modern global society. Although tailored for computer science professionals, who want to advance their careers and graduate students seeking competitive jobs, the program is designed to engage and prepare students with no background in computer science as well.... [-]

Syracuse University’s College of Engineering and Computer Science offers a Master of Science in Computer Engineering program delivered online. The program teaches students to create groundbreaking hardware and software solutions for new and emerging systems while developing the expertise to solve challenging technical problems in this ever-changing industry. The M.S. in Computer Engineering program focuses on key subjects that are crucial to understanding and advancing new and emerging systems. You will learn to drive innovation and solve the most difficult computer engineering challenges with advanced knowledge of key topics including security and assurance, network systems, computer architecture, and advanced programming.... [-]

The Master of Science in Information Technology – Software Engineering (MSIT-SE) degree is designed for junior professionals with one to two years of work experience in software development and who want to boost their career and become technical leaders, software architects or project managers.

The program was developed on the basis of Carnegie Mellon University (CMU) program in Software Engineering and is delivered face-to-face locally at Innopolis by instructors with a long record of industry experience and selected external experts in specific areas that complement the MSIT-SE core courses.

The program runs for 12 months and three semesters starting from the middle of August. The program is completely delivered in English.... [-]

MAS in Science, Technology, and Policy ETH Zurich now offers a new MAS program in Science, Technology, and Policy. This MAS is designed for students who hold an MSc degree in the natural or engineering sciences (including also medicine, mathematics, and architecture) and aim at a career where strong skills in policy analysis and policy management are important. Such skills are in high demand particularly in government agencies, large technology and life sciences firms, consulting firms, international organizations, and NGOs. The first half of the program (4 months) is designed for full-time study. The second half can be completed through full- or part-time study in combination with an internship or professional employment. Applications for the autumn 2017 program are accepted on a rolling basis, and the recruitment process closes at the end of July 2017.... [-]

Imagine the possibilities

Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape ITs future function in business and society.

Today's networked image and signal generating devices provide a historically unmatched volume of raw data for automated decision making and control systems.

The expectations are high: how can we design new tools and software in order to best distill useful information. A lot of interesting research and development projects in the private and the public sectors are calling for your expertise. Alternatively, this degree will open career tracks in Universities and research centers.... [-]

The Master of Science in Applied Computer Science is a program meant to answer the need for developing effective competencies in information technology and security, to meet the need of Africa and the world. The graduates will have the theory in computer and information science and the ability to translate the theory into everyday life in their current employment position as they plan, design and manage computer information systems in the local and global contexts.

A program of study can be selected in the following areas:

The new MSc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Augmented and Virtual Reality and Future Networked Systems.

The course is designed and taught by staff who are renowned research leaders in their fields. The course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.

In the first semester, students gain the necessary skills in Research Methods (to enable students to produce their own dissertation), Innovation (to equip students with skills in company formation or innovating within a large company) and Machine Learning (a foundational technique for each of the specializations). In addition, students will make a start on their specialist modules in their chosen strand.... [-]