225 Masters Degrees in Computer Science 2020

Master in Computer Science

Technology exists to meet human needs and solve human problems. And today's technology-driven start-ups need engineers and computer scientists who also understand the business side of bringing innovative solutions to market.

Cornell Tech's Master in Computer Science will give students the technical skills needed to develop cutting-edge solutions while exposing them to entrepreneurship and product management.

Learn Through Cross-Disciplinary Collaboration

No matter where you apply your computer science and engineering skills, you'll most likely be working in collaboration with product and project managers, sales and marketing executives, even lawyers. Your success will depend on your ability to speak their language, to see how your technological expertise fits into the greater whole of the company, and to draw inspiration from every part of the business.... [-]

Overview

Earn a Computer and Systems Security Professional Science Master’s degree from Temple University’s College of Engineering to safeguard cyber-physical systems and integrated hardware and software infrastructure that operate networked computers, control, and security systems for automated systems, intelligent machines and the Internet of Things.

This master’s program comprises six required courses (18 credits) and four electives (12 credits) that are customizable to your interests, for a total of 30 credits. An internship or senior capstone project provides practical applied experience to the program. Core courses include

Engineering Principles of Computer Intrusion and Detection, Introduction to Cryptography and Information Security, ... [-]

Overview

The Master of Software Engineering (MSE) covers the application of engineering principles to the building of computer software. The field covers the theories, tools and methods for systematic representation, design, verification, development, production, validation and maintenance of software products including programs, prototypes, documentation, user interfaces, training and evaluation.

All courses needed for the degree are available online to students residing both in and out of the United States. International students interested in this program must contact the Department of Computing and Information Sciences for admission before taking classes. Students never need to come to campus for any coursework.... [-]

Overview

The MRes Computer Science programme is designed to develop research skills and allow students to specialise in a specific field of study, within the broader area of computer science. This will prepare you for future employment in a specialised area or a role involving academic research or industrial research and development.

Graduates of this programme, as with all XJTLU masters degrees, earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education.

Knowledge and skills

The MRes Computer Science programme will equip you with comprehensive knowledge and understanding of:

advanced theoretical fundamentals of current trends in computer science state-of-the-art key research issues in specialised areas of computer science techniques for project management and the design, implementation and evaluation of IT solutions Modules ... [-]

The Master of Information and Data Science (MIDS) is an online degree program for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that encompasses the entire data lifecycle, from planning and gathering data to analyzing and presenting findings. Coursework in this program examines issues of privacy, explores machine learning, and considers techniques for data storage and management. Students in the program benefit from UC Berkeley’s strong ties to the Bay Area and Silicon Valley.

Class sessions are delivered live in an online classroom. Classes are taught by many of the same School of Information (I School) faculty and data science professionals who teach our on-campus programs. Students are fully engaged members of the UC Berkeley I School community. Benefits Live online classes: All classes are held weekly on a face-to-face video platform and are kept small, with a low student-to-faculty ratio. Renowned faculty: The program is designed by many of the same School of Information (I School) faculty and data science professionals who teach our on-campus programs. Multidisciplinary curriculum: Coursework is designed with a project-based approach, encouraging the application of tools and methods to solve problems. UC Berkeley community: Students gain access to the UC Berkeley I School community, including technical support, academic support, and the university’s vast alumni network. Accreditations ... [-]

An online course with optional face-to-face workshops.

Early bird discount up to £1,000.

Course overview

In today’s world, mobile apps are ubiquitous, delivering solutions to modern life. As a medium for creative and artistic expression, they provide answers to everyday problems with clever design and user insights. App development offers a wealth of creative opportunity in an evolving arena that reacts rapidly to technological advances.

Designed with industry experts, Falmouth’s MA in Creative App Development responds to these shifts, and gives you the chance to expand your creative skills to capitalise on the opportunities available in this growing field.... [-]

The MSC program is an intensive one-year program designed for those who desire to deepen their comprehension with the practical aspects of Computer Science. The program is heavily geared towards developing students’ professional skills needed for employment, while being able to adapt to rapidly changing technology, to work effectively, professionally and ethically in computing-related professions, as demonstrated by their communications, teamwork and leadership skills.Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in computer science.

PROGRAM STRUCTURE

Java Programming

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Overview

Get on the fast track to make an impact in one of today’s fastest growing fields with a master’s degree in machine learning.

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.... [-]

Description

Technologies related to computer science, change very quickly: there is a proliferation of products both software and hardware result of new theories, methods and techniques. These developments bring results in a rate of obsolescence in the high area leading to a significant demand for human resources from three main areas:

Specialists in the productive sector Academics with knowledge updated Research and Technological Development

The graduate program is a professional who can not only follow the rapid technological advancement, but also contributes with innovative proposals in the field of computer science and thus to respond to the great challenges of today's world.... [-]

Software, Systems and Services Development in the Global Environment, Master of Science (2 years) A solid foundation of software engineering and information systems methods and technologies Understanding of software ecosystems Understanding of user-oriented products and services

The international master’s degree program in Software, Systems and Services Development in the Global Environment (GS3D) is a two-year program. The program will give you relevant skills and core knowledge of the latest methods, tools, and technologies to be an expert or manager in a global ICT company.

You will also get skills to lead multicultural teams, projects, and units. Other topics include:... [-]

Learning objectives of the MPhil in Informatics, are the understanding of technology, its application, the development of critical thinking and scientific and technical communication. This course offers two specializations, Information Systems (I.S.) and Software Engineering (S.E.), where it is assumed that both develop a common knowledge base, particularly in modeling techniques, emerging technologies, project management and technological innovation; considering that these areas of expertise are the key to the two areas. However, specializations give different skills within the information technology field; S.I. students will be able to enhance the business through the use of technology and drive and lead S.I. of intervention activities using best practices; turn the E.S. students will be able to plan, manage and conduct development activities of highly complex software systems and to use emerging technology.... [-]

Program goal

The purpose of the Computer Science educational program is to prepare high-qualified specialists for IT industry, ready to solve following professional problems:

designing, developing and maintaining modern information systems and computer networks; performing intellectual data analysis, signal processing and machine learning; enabling security options for computer systems, networks and digital platforms; implementing effective platforms for computing, web applications and e-commerce; creating and developing software and hardware projects for financial and industrial enterprises.

Computer science program integrates contemporary digital technologies, including software and hardware design, blockchain technology, computer security and cryptography, deep learning and data mining techniques. Great attention is paid to multiple processes and applications interaction viacomputer networks, including network design and security options, web interfaces and mobile programming, virtual and augmented reality technologies. ... [-]

Software plays a pivotal role in almost all aspects of our life, including transportation, communication, economy, and healthcare.

We put trust in software to accomplish complex and vital tasks for us, such as managing our finances, sharing our family and friends’ memories, diagnosing diseases, flying airplanes or driving cars. The complexity of these tasks, while becoming transparent to us, does not go away: It is distilled into the software our civilization depends on. Indeed, we are already in the era of ultra-large-scale software systems, composed by millions of code components interacting among them. In such a scenario, the software cannot be understood without its data and data becomes valuable only thanks to the software analyzing it. In other words, software engineering aims at managing the complexity of software, keeping it under control. Data engineering focuses instead on how to collect, store, and process huge amounts of data, that can be analyzed to gather insights and support decision-making activities. The master features courses taught by world’s leading researchers of the Software Institute at the USI Faculty of Informatics.... [-]

Our master programme will provide you with the key competencies that you will need to develop next-generation information systems used to describe and manage data, discover new facts and relations in the data, make predictions, and give advice to decision makers.

Course description

We live in a digital society. Human and automated activities continuously generate data, storing them in digital format. These data come from everywhere: enterprise information systems, social media, wearable equipment, and many more.

Data are like crude oil: unrefined, they are useless.

In our programme, we teach you how to become a computational data scientist, i.e. a computer scientist specialised in the development of next-generation information systems.... [-]

Master's Programs in Computer Science. Programme perspectives A unique programme that provides advanced study along with practical experience; A great opportunity to realize your potential and develop professional skills by working on real projects of vendors such as EMC, Alem Research, etc.; The programme is oriented towards the preparation of specialists in Data Science/Machine Learning; Learning advanced innovative technologies including the collection of a large amount of data, solving business cases using data processing and management techniques, using programming languages such as R, Python, and MATLAB, and gaining experience in working with machine learning and pattern recognition tools and techniques; Learning tools and techniques necessary for the development of real-time and embedded systems; Courses are taught by the highly-qualified specialists, developers of software products from the large and well-known companies such as (needs to be filled out) Professional certification from the University of Southampton; Well-paid job after graduation; The tuition fee for the entire period of study is 8 400 000 tenge; *there is an opportunity to win the internal grants of the KBTU. The programme is based on a unique technology, where gained theoretical skills can be applied to real practical problems. An invaluable knowledge that is useful today. Programme requirements Undergraduate degree in Information Systems, Automation, and Control, Computer Systems and Software, or other related fields; Strong knowledge of high level and low-level programming, algorithms and data structures, object-oriented programming, embedded design, and digital logic background, solid probability and linear algebra background; Good level of English language proficiency.... [-]