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speciality: Computer Science

4.0

What Is a Computer Science Degree?

The passion for technology can lead you to choose the specialisation of Computer Science. This field has become increasingly popular in recent years, the development being so rapid that people are trying to keep up with it.

A Computer Science degree deals with the theoretical and practical foundations of information technology and computers. The scientific part merges with the practical one in various algorithms, information processing or in computational models. This specialisation often aims to study methodological processes, making representations on a computer, storage, or accessing information.

At the same time, the study of Computer Science focuses on the learning of programming languages, which are extremely important for any student. Python, C ++, Java are just a few of the programming languages ​​that are explored in depth by students in order to solve the applications received from the faculty. Furthermore, on the labour market, programming languages ​​are highly appreciated and integrated, being a useful tool for optimal performance of industries.

Benefits of a Computer Science Degree

The most important skill that young people learn following this degree is the use of programming languages. Once they grasp the logic of programming, they will easily be able to master the languages ​​and build or develop WEB applications. Additional skills that are acquired can be: network design and engineering, software engineering, multimedia design. In addition, classical skills such as teamwork, leadership, problem-solving or time management are also gained by students.

According to recent studies, 6 of the 10 best jobs chosen by graduates are linked to Computer Science. These include Web Design, Computer Support Specialist, IT Operations Technician or Database Administrator. Moreover, the employment rate is favourable to the students, being over 70%. Due to the rapid advancement of technology, it is expected that the supply will grow in the future, requiring computer science specialists in any field.

Computer Science Degree Structure

To study Computer Science, students can either pursue university courses or follow courses online, depending on their availability and income. Online or outside-university courses include disciplines such as: Information Systems Management, Game Programming, Web Development, Network Fundamentals. They usually have a duration of 2 years. Although these courses provide important skills in this specialisation, students may be disadvantaged when competing with a student who has a Bachelor’s Degree. Some of the most important campuses in the world include Penn State World Campus, University of Massachusetts, Lowell (The Division of Online Learning and Continuing Education), Saint Leo University.

The Bachelor in Computer Science lasts around 3 to 4 years, depending on the university. Throughout the programme, students acquire mathematical knowledge, theoretical and practical foundation in programming. Some of the subjects discussed are: Computer Programming, Data Structures, Databases, Algorithms, Linear Algebra, Probability Theory or Statistics. These vary according to the curriculum of the university. 

A Master’s program complete the students’ necessary career skills. In this way, they have a greater understanding of computing softwares, tools, packages, and computer architecture. 

There are Master programs that can be followed even by those who have not undertaken undergraduate studies in Computer Science, such as those offered at the University of Birmingham for example. These programs can take either 2 to 5 years. 

A PhD program is especially dedicated to those who want to research or become university professors and can last between 4 to 5 years.

7 Student Reviews

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  • UX/UI Design
    avatar
    Lack of help after you graduated from the Bootcamp

    Overall I like the course. The instructors were really helpful during the course. However, one things I didnt like about this course is they don’t really prepare you for the career. After the course, I reached out to the instructors but they never replied you. Its literally zero support after the course. I wish they can help you prepare more for the portfolio, resume,and maybe a mock interview to better prepare for the job market. Since this is a quick bootcamp, you should have some knowledge beforehand on how to use figma because You will not have time to learn it in the course. I would recommend this course to someone who have basic and already have one or two case studies prepared so that you can find job easier after the bootcamp.

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    Programme: UX/UI Design
    Degree: Short Course
    Graduation: 2023
    Delivery Type: Online
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  • Data Science
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    AllWomen rock!!!

    I started the course in February 2021 and because of covid, it was the 2nd fully remote edition. I was a bit scared at the beginning whether we get enough attention etc., however, it all went great! I couldn’t recommend the school more! Idoia, the teacher, is not only amazing in explaining all the concepts, but bus she’s also a fantastic person, which contributed to the best possible ambient during the course, and after all, the best experience!
    We had students from all over Europe in the group, which made it even more interesting as we could compare experiences, talk about different markets and potential job opportunities.
    The school is not only teaching data science but they also organize a lot of additional workshops that are helpful with finding a job afterwards and generally preparing the students for “life after” the course. And of course, there are hiring fairs after the course with a lot of opportunities to find employment.
    All in all, this is the best decision I’ve taken in the last few years and I couldn’t recommend AllWomen more!

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    Programme: Data Science
    Degree: Short Course
    Graduation: 2021
    Delivery Type: Online
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  • Data Analytics
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    Great teachers and community

    Great teachers that adapt to the team levels 🙂
    My course was one of the first and the program was a bit challenging in terms of the organization of lessons, but my teacher quickly adapted to the feedback from the team and changed the structure.
    We had an opportunity to come to campus, but all classes were done online and it was great to have a diverse group.

    There are additional perks like slack community (job offers sharing, referrals for new jobs, support, and events), Career Day, and in-person events.
    My course was great for an entry-level and mid-level crowd as it is a great tool for job changes (there are also meetings about career, personal brand, and writing cv).

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    Programme: Data Analytics
    Degree: Short Course
    Graduation: 2020
    Delivery Type: Online
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  • Data Science
    Giulia
    Overall good experience

    The experience of studying at Allwomen was mostly positive.
    I especially appreciated the helpfulness and competence of the teachers we had during the course. The explanations were always clear and on point, and having practical projects helps a lot when it comes to consolidating the knowledge. I found a good mix of theory and practice. Some teachers in particular guided us a lot with career doubts and professional development. Moreover, all the staff at Allwomen created a nice, pleasant and safe environment for all the participants right from day one!

    On the other hand, there are areas for improvement. Some key topics and tools were explained very quickly when more time was needed. When I started working in the field, I realised that I did not know many basic things. During the last month and a half of the course, there were no lessons at all. They made us use the lesson hours to work on the final project. It seemed an excessive amount of time, I would have preferred to use part of that time for real lessons with teachers. Also, if Allwomen really wants to be an international school, the overall staff and teachers’ level of English should improve.

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    Programme: Data Science
    Degree: Short Course
    Graduation: 2021
    Delivery Type: Online
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  • Data Science
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    Overall complete programme

    The programme was well overall. There are a number of different teachers and some of the teachers were excellent. I did the programme completely online as the pandemic hit write when I started it. The dynamic was good, we had a great team of women who were very collaborative.
    There were key topics like SQL that we did not have enough time to cover properly. As an area of improvement I would add the need to better plan timing to make sure all key topics are covered. There was a good balance of theory and practice but I would include even more practice.
    Overall positive experience.

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    Programme: Data Science
    Degree: Short Course
    Graduation: 2021
    Delivery Type: Online
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  • Data Science
    Lise
    Amazing experience at allWomen

    I had an amazing experience at AllWomen, I can’t thank more our teacher who really support us all along the process. The course was well structured, I felt really empowered all along the program which is divided in two parts. The first one being the “learning phase” which is a great mix between theoretical lectures and practical sessions. The second one which lasts one month is dedicated to the final project where you get to use your new knowledge to create and present your own project.

    After this intense bootcamp (it is intense but worth it 😉 ) I feel ready and empowered to use that skills for real in a company.

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    Programme: Data Science
    Degree: Short Course
    Graduation: 2021
    Delivery Type: Blended
    Campus: Barcelona
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  • Data Science
    avatar
    Do not even doubt it!

    This is a life-changing experience we are talking about here!
    Do not give it another thought.
    AllWomen is one of the best choices I have made in my life when decided to join the Full-Time Data Science Bootcamp.
    This is a community of outstanding, professional, brilliant women who will not only give you the knowledge you need to take your career in a new amazing direction but also the confidence and support you to go through the change.
    Could not recommend it more!

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    Programme: Data Science
    Degree: Master's
    Graduation: 2020
    Delivery Type: Blended
    Campus: Barcelona
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