Masters Programs in Computer Simulation

Compare 3 Masters Programs in Computer Simulation

Computer Simulation

A master's degree is a course of advanced study in a highly specialized field. Typically begun after the completion of a bachelor’s degree, it often takes one to three years to complete.

What is a Master in Computer Simulation? Computer simulation is a high-tech industry that has a broad range of applications. Through simulation, analysts create detailed virtual systems and examine how they perform. Computer simulation can be applied in many fields, including climate studies, fluid dynamics and materials studies. Depending on where a student chooses to concentrate, they may peruse advanced studies in atmospheric physics, theoretical chemistry or materials science. Computer simulation courses focus on computing, parallel computing and parallel algorithms.

Students can benefit from a Master in Computer Simulation in a number of ways. They will develop an innovative attitude, helping them to have a career in a field that changes often. They may also learn more modern techniques that could further an already established career.

The cost of any master's degree will be impacted by the location of the university or college that the degree is earned from and length of time it takes to complete the degree. Each college that you are interested in will be able to provide specific information about the cost of a degree.

The field of computer simulation is in high demand, and students with a master's will be able to pursue a number of careers. Private industry and many governments hire simulation experts. Positions include those of airport planner, banking analyst, industrial engineer, simulations engineer, product designer and systems engineer. Many analysts will spend much of their time constructing and modifying models to gain a better understanding within the business they work for. The wide range of professional applications means that students will often develop their computer simulation skills with a career path already in mind.

Many universities offer a range of programs that are part of the wide field of computer simulation. If you are interested in finding a Master in Computer Simulation that suits your interests, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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MicroMasters Program in Artificial Intelligence (Columbia University)

edX MicroMasters Programs
Online Full time Part time 48 weeks January 2017 USA Cambridge + 1 more

Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. [+]

Masters in Computer Simulation. Average Length: 12 weeks per course Effort: 8-10 hours per week, per course Number Of Courses: 4 Courses in Program Subject: Engineering, Computer Science, Physics Institution: Columbia University Institution Offering Credit: Columbia University Language: English Video Transcripts: English Price (USD): $300 per course Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters Program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Masters degree in Computer Science at Columbia. Job Outlook Though Artificial Intelligence is one of the fastest-growing areas for high-tech professionals, there are too few qualified engineers, according to a recent Kiplinger report. Robotics and artificial intelligence will impact wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. (Pew Internet) The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt. (IEEE) Exciting and rewarding career opportunities as a Machine Learning Software Engineer, Deep Learning Specialist, Data Scientist, Automation Engineer, 3D Artist, Computer Vision Engineer, and many more! What You'll Learn: Solid understanding of the guiding principles of AI. Apply concepts of machine learning to real life problems and applications. Design and harness the power of Neural Networks. Broad applications of AI in fields of robotics, vision and physical simulation. MicroMasters Program Details How To Earn The MicroMasters Credential Complete, pass and earn a Verified Certificate in all four courses to receive your MicroMasters Credential. Learners who successfully earn the MicroMasters Credential are eligible to apply to the Master of Computer Science program at Columbia University. Take your Credential to the Next Level If a student applies to the Master of Computer Science program at Columbia and is accepted, the MicroMasters Credential will count toward 25% of the coursework required for graduation in the on campus program. Courses Artificial Intelligence (AI) Learn the fundamentals of Artificial Intelligence (AI), and apply them. Machine Learning Master the essentials of machine learning and algorithms to help improve learning from data without human intervention. Animation and CGI Motion Learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group. Robotics Learn the core techniques for representing robots that perform physical tasks in the real world. What is a MicroMasters Program? Developed to advance a career and born from Master's programs of leading universities, MicroMasters programs are a series of higher-level courses recognized by companies for real job relevancy, and may accelerate a Master's degree. [-]

Master in Computer Simulations for Science and Engineering COSSE

KTH Royal Institute of Technology
Campus Full time 2 years August 2017 Sweden Stockholm

The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, e.g. virtual processing, climate studies, fluid dynamics, advanced materials, etc. Often the field is referred to as the [+]

The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, e.g. virtual processing, climate studies, fluid dynamics, advanced materials, etc. Often the field is referred to as the third pillar of science complementing theory and experiments. The joint programme Computer Simulations for Science and Engineering (COSSE) is a two-year master's programme offering a double degree from two universities. The students enter one of the universities and continue the second year at one of the other institutions in another country. COSSE offers education of the highest international standard as well as a unique experience of meeting different European cultures, languages, climate and nature. Students from any country are welcome to apply. A number of scholarships are available. The programme is a joint initiative of four European universities: - KTH Royal Institute of Technology, Sweden - Technical University of Berlin, Germany - Technical University of Delft, the Netherlands - Friedrich-Alexander University of Erlangen- Nürnberg, Germany Associated partner: Indian Institute of Technology Guwahati, India. Provides internships and shorter learning opportunities. [-]

MRes Computing Science

University of East Anglia Faculty of Science
Campus Full time 1 year August 2017 United Kingdom Norwich

The MRes Computing Science provides students with foundation training in the basic and advanced research skills sufficient to enter a Doctoral programme. The MRes programme is also suitable for candidates who may wish to obtain a research-oriented degree, but do not wish to commit themselves to a longer period of study. [+]

Masters in Computer Simulation. Why choose this course? The MRes Computing Science provides students with foundation training in the basic and advanced research skills sufficient to enter a Doctoral programme. The MRes programme is also suitable for candidates who may wish to obtain a research-oriented degree, but do not wish to commit themselves to a longer period of study. The MRes pathway has a greater research element than the other MSc programmes offered by the School, whilst also giving students the opportunity to gain credit for the taught components. MRes programmes are designed to bridge the gap between undergraduate studies and the skills required by professional researchers. Contact time Students have on average 15 hours of contact time per week with teaching staff through lectures, laboratory sessions and seminars, though this may vary depending on module choices. Additionally, students should allocate at least 25 hours per week for study, coursework assignments and projects. Teaching and assessment The MRes Computing Science is a full-time, one-year programme; it can also be taken part-time over two years. Once on the course, you will specialise in one of the broad areas of the School’s research. You will normally take three taught modules that are related to your area of specialism or that provide you with important background knowledge. You will also take a module in research techniques and a directed study module. The directed study module will related to your area of specialism and, often, it will have a project component. Your academic advisor will guide you through your module choices and assist you in choosing suitable study topics. There will be an emphasis on transferrable skills applicable to a future research career, including analytical and critical research skills, communication skills and project management. The dissertation element of the programme will be larger than that of our taught MSc courses, counting for 80 credits. You will choose your dissertation area early in the academic year, undertaking preliminary work on it during the spring semester and working on it full-time after the examinations until early September. Career opportunities As a graduate from this course, you will have an excellent foundation for entry to a Doctoral programme. You can also pursue a career in a commercial or public sector setting where you can exploit your research skills and specialist knowledge. Entry Requirements Degree Subject: Computer Science or a related subject. Degree Classification: Good first degree (minimum 2.1 or equivalent). [-]