Thousands of study and academic opportunities in Computer Sciences are available internationally. Conferences and summer schools in Computer Sciences are organized regularly in the best academic centers of the world. The majority of universities and many foundations also offer BA, MA and PhD programs in Computer Sciences as wells as postdoctoral research grants, awards and fellowships. Below you will find the updated list of international opportunities available in Computer Sciences.
Computer Sciences studies scholarships
- AFB Paul and Ellen Ruckes Scholarship
- Betty Stevens Frecknall Scholarship
- Google Europe Students with Disabilities Scholarship
- Microsoft Scholarship Program
- NSA Stokes Educational Scholarship Program
- Royal Holloway, University of London Donald Davies Computer Science scholarships
- UCL Computer Science Excellence Scholarships
- University of Birmingham Scholarships
- University of Edinburgh John Fisher High Performance (HPC) Scholarships
- University of York Department of Computer Science Postgraduate Scholarships
Computer Sciences studies fellowships
- Adobe Research Fellowship
- Alston Householder Fellowship
- CIMI LabEx Post-doctoral Fellowships
- DOE CSGF (Department of Energy Computational Science Graduate Fellowship)
- George Michael Memorial HPC Fellowship
- Google PhD Fellowship Program
- Hariri Student Fellows Program
- IBM PhD Fellowship Awards Program
- NSF Graduate Research Fellowship Program (GRFP)
- NVIDIA Graduate Fellowship Program
Computer Sciences studies conferences
- 11th International Conference on Computer Science, Engineering and Applications (CCSEA 2021)
- 13th International Conference on Computer Science and Information Technologies
- 14th International Conference on Computer Science and Information Technology (ICCSIT 2021)
- 17th Annual International Conference on Information Technology & Computer Science
- 19th International Conference on Relational and Algebraic Methods in Computer Science
- Computing Conference (formerly called Science and Information (SAI) Conference) in London
- IEEE ICCSE 2021
- International Conference on Computer Science, Engineering and Technology in Singapore
- The 16th International Symposium on Parameterized and Exact Computation (IPEC 2021)
Computer Sciences studies associations
- American Society for Engineering Education (ASEE)
- American Society for Information Science and Technology (ASIS&T)
- Anita Borg Institute for Women and Technology
- Association for Computing Machinery (ACM)
- Association of Information Technology Professionals
- Institute for Operations Research and the Management Sciences (INFORMS)
- Society for Industrial and Applied Mathematics (SIAM)
- The Computing Research Association
- The Institute of Electrical and Electronics Engineers Computer Society
- USENIX, the Advanced Computing Systems Association
Computer Sciences relevant accounts on Twitter
Can you fix my phone?
"Can you fix my phone?" Yes, you read it right. This is the very first question almost every Computer Science student is asked when someone learns about one's major.
Yet, why do we have all this buzz around Computer Science?
International students coming to the United States choose Computer Science as their third most common major. There are many arguments for the demand of Computer Science, including excellent job stability, unusually high starting salaries, and a wide range of job opportunities across industries.
The study of computers and numerical structures is known as Computer Science. In the 1950s and early 1960s, Computer Science emerged as a distinct academic discipline. The Cambridge Diploma in Computer Science, the world's first Computer Science degree program, started in 1953 at the University of Cambridge Computer Laboratory. Unlike electrical and computer engineers, computer scientists work primarily with software and software systems, including their theory, design, creation, and implementation.
Artificial intelligence, bioinformatics, computer systems and networks, computing theory, database systems, human-computer interaction, numerical analysis, programming languages, security, software engineering, vision, and graphics are major research areas in Computer Science.
While programming is an integral part of Computer Science, it is just one aspect of the field. Computer scientists create and analyze algorithms to solve problems and study computer hardware and software efficiency. They deal with an immense range of problems, from the abstract (determining what problems can be solved with computers and the difficulty of the algorithms that solve them) to the concrete (designing applications that work properly on mobile devices are simple to use and adhere to security measures).
Many consider Computer Science to be a foundational science that enables other types of knowledge and accomplishments.
Why study Computer Science?
Job prospects in computer science differ depending on the degree. Computer support specialists and Web Developers are popular jobs for associate degree holders. Bachelor's degrees open the door to a wide range of computer science occupations, including the following:
- Computer Programmer
- Database Administrator
- Data Scientist
- Hardware Engineer
- IT Architect
- Network Administrator
- Security Analyst
- Systems Analyst
- Systems Manager
- Video Game Developer
Computer Science disciplines
A computer science degree encompasses a wide range of disciplines, and an international student must understand how to learn Computer Science or how to move among this sea of sub-disciplines and specializations effectively. Students pursuing computer science degrees have the option of specializing in one of the following areas:
- Applied Mathematics
- Artificial Intelligence
- Computational Physics
- Computer Programming
- iOS Development
- Memory Systems
- Software Systems
Computer Science (CS) is a broad term used by some higher education institutions to refer to various specialist and vocational degrees involving computers and technology. Although several institutions now differentiate between the two, the term Computer Science can still be used to refer to information technology (IT) degrees (exactly how and where they draw this line varies). Be sure to double-check the course specifics at your preferred university.
Where can I study Computer Science?
The majority of Computer Science degree admissions criteria emphasize further mathematics, with some institutions requiring a physics background. A background in psychology or sociology will add depth to your studies by allowing you to understand how people process knowledge. Undergraduate candidates for Computer Science degrees are not typically considered to have previously learned the subject. However, learning a programming language is suggested to obtain a better understanding of what is involved. Though Python and C++ are widely accepted as beginner languages, you can also encounter Haskell, Java, and Pascal during your studies. On the other hand, some institutions may discourage students from learning programming beforehand to prevent students from developing ''bad'' programming habits early on.
In today's world, studying Computer Science is a wise choice, as the number of job openings for tech-savvy graduates grows every year.
When it comes to deciding where to study it, there is, as you could expect, a large selection of universities to choose from.
Even though you can increase your knowledge about Computer science or even learn it from scratch on your own, we couldn't help including the list of the best 10 Universities where you can study Computer science.
- Massachusetts Institute of Technology (MIT)
- Stanford University
- Carnegie Mellon University
- National University of Singapore (NUS)
- University of California, Berkeley (UCB)
- University of Oxford
- Harvard University
- University of Cambridge
- ETH Zurich - Swiss Federal Institute of Technology
What are the research opportunities in Computer Science?
If you want to pursue a career in computer science, it's essential to keep up with the latest developments in the field to make an educated decision when it comes to your research. Here are a few research trends in Computer Science:
Artificial intelligence and robotics
The word AI now covers the whole definition of an intelligent computer: insightful in terms of both organizational and social implications. With the AI market expected to hit $3 trillion by 2024, industry and government funding bodies heavily invest in AI and robotics. As knowledge becomes more available in the "ready" form, humans can increasingly rely on AI systems to live, work, and entertain themselves. AI systems will be used in a growing number of industries, including education, energy, finances, manufacturing, pharmaceutical, public services, and transportation, as their accuracy and complexity improve.
Big data analytics
The idea of big data has been around for years, and most companies now realize that if they collect all of the data that flows through their operations, they can use analytics to extract substantial value. Businesses were using simple analytics (raw numbers in a manually examined spreadsheet) to discover insights and patterns as early as in the 1950s, decades before the word "big data" was introduced. The new advantages of big data analytics, on the other hand, are speed and efficiency. Whereas a company could have collected data, run analytics, and unearthed knowledge for future decisions a few years ago, today's business can find insights for immediate decisions. Working much faster and remaining agile gives companies a strategic advantage they didn't have and dream of before.
Learning becomes more appealing and dynamic as students play and use materials stored on cell phones and other web-based tools. This provides students with entertaining opportunities to demonstrate their listening and learning skills. It increases students' interest in completing assignments and, as a result, enhances the consistency of what they have learned.
As a newly emerging discipline, bioinformatics brings together mathematics, information science, and biology to help address biological questions. The term "bioinformatics" was developed in 1968, and the first definition was published in 1978. "Computational biology" is another term for bioinformatics. Computational biology, on the other hand, is primarily concerned with the simulation of biological systems. The creation of software tools and algorithms and the analysis and interpretation of biological data using a variety of software tools and algorithms are the two vital components of bioinformatics.
According to the US Bureau of Labor Statistics, the number of cybersecurity job opportunities is expected to rise by 28% between 2016 and 2026, far faster than the national average for all occupations, increasing concerns about a skills shortage. We currently live in a hyper-connected world where almost everything can exist online, from banking to government infrastructure. Data security is no longer a choice in today's world for individuals or nations, making this another burgeoning area of computer science research.
Starting your career in Computer Science with ARMACAD
In a nutshell, Computer Science degrees focus on the theoretical underpinnings of knowledge and computation, with a scientific and realistic approach to computation and its applications. In the practice of information processing, computation is characterized as any type of calculation or use of computational technology that follows well-defined models.
A plethora of conferences, scholarships, fellowships, short-term courses, and much more are available in the Computer science field to help you shape your "contemporary" mind, ready to conquer the world with innovative ideas! Start your journey with ARMACAD and find your opportunities for the future!