Hej!
Jag undrar hur den här parkeringsskylten ska tolkas. Som jag förstår det kan det betyda att parkering för rörelsehindrade gäller åt vänster, max 4 timmar, medan avgiftsbelagd parkering gäller åt höger.
Men jag är osäker på om man kan parkera med p-skiva på vänster sida om man inte är rörelsehindrad.
Hur skulle ni tolka skylten?
Hey everyone,
I’m trying to decide between doing a master’s in Computer Science or a master’s in Machine Learning, and I’d really appreciate some career-oriented advice.
For context, I’m based in Sweden, and my bachelor’s is in IT. My assumption is that this should cover the basic technical background expected for a CS/ML master’s, but I’m also curious how employers or admissions people tend to view an IT background compared with a traditional CS bachelor’s.
I’m genuinely interested in Machine Learning, and I could see myself going deeper into AI/ML. But my main concern is keeping as many doors open as possible. I’m not sure yet whether I want to stay in academia or pursue research long-term. Realistically, I want to work first and then decide later.
The Computer Science master sounds broader. For example, at KTH there are tracks like Data Science, and within that you can still choose a Machine Learning-oriented subtrack. So academically, it seems like I could still study a lot of ML while having “Computer Science” as the degree title.
My question is more about the career/resume signal:
Would a master’s in Computer Science look stronger or safer on a CV because it is broader and more widely recognized?
Or would a master’s in Machine Learning be better because it signals a clearer specialization in AI/ML?
I’m especially interested in perspectives from people working in Sweden/EU tech, ML engineering, data science, software engineering, or hiring/recruiting.
Basically:
If I’m interested in ML but want maximum flexibility, would you choose CS with ML/Data Science courses, or a dedicated ML master’s?
Thanks in advance.
Hey everyone,
I’m trying to decide between doing a master’s in Computer Science or a master’s in Machine Learning, and I’d really appreciate some career-oriented advice.
For context, I’m based in Sweden, and my bachelor’s is in IT. My assumption is that this should cover the basic technical background expected for a CS/ML master’s, but I’m also curious how employers or admissions people tend to view an IT background compared with a traditional CS bachelor’s.
I’m genuinely interested in Machine Learning, and I could see myself going deeper into AI/ML. But my main concern is keeping as many doors open as possible. I’m not sure yet whether I want to stay in academia or pursue research long-term. Realistically, I want to work first and then decide later.
The Computer Science master sounds broader. For example, at KTH there are tracks like Data Science, and within that you can still choose a Machine Learning-oriented subtrack. So academically, it seems like I could still study a lot of ML while having “Computer Science” as the degree title.
My question is more about the career/resume signal:
Would a master’s in Computer Science look stronger or safer on a CV because it is broader and more widely recognized?
Or would a master’s in Machine Learning be better because it signals a clearer specialization in AI/ML?
I’m especially interested in perspectives from people working in Sweden/EU tech, ML engineering, data science, software engineering, or hiring/recruiting.
Basically:
If I’m interested in ML but want maximum flexibility, would you choose CS with ML/Data Science courses, or a dedicated ML master’s?
Thanks in advance.
Hey everyone,
I’m trying to decide between doing a master’s in Computer Science or a master’s in Machine Learning, and I’d really appreciate some career-oriented advice.
For context, I’m based in Sweden, and my bachelor’s is in Information and Communication Technology. My assumption is that this should cover the basic technical background expected for a CS/ML master’s, but I’m also curious how employers or admissions people tend to view an ICT background compared with a traditional CS bachelor’s.
I’m genuinely interested in Machine Learning, and I could see myself going deeper into AI/ML. But my main concern is keeping as many doors open as possible. I’m not sure yet whether I want to stay in academia or pursue research long-term. Realistically, I want to work first and then decide later.
The Computer Science master sounds broader. For example, at KTH there are tracks like Data Science, and within that you can still choose a Machine Learning-oriented subtrack. So academically, it seems like I could still study a lot of ML while having “Computer Science” as the degree title.
My question is more about the career/resume signal:
Would a master’s in Computer Science look stronger or safer on a CV because it is broader and more widely recognized?
Or would a master’s in Machine Learning be better because it signals a clearer specialization in AI/ML?
I’m especially interested in perspectives from people working in Sweden/EU tech, ML engineering, data science, software engineering, or hiring/recruiting.
Basically:
If I’m interested in ML but want maximum flexibility, would you choose CS with ML/Data Science courses, or a dedicated ML master’s?
Thanks in advance.
Hey everyone,
I’m trying to decide between doing a master’s in Computer Science or a master’s in Machine Learning, and I’d really appreciate some career-oriented advice.
For context, I’m based in Sweden, and my bachelor’s is in Information and Communication Technology. My assumption is that this should cover the basic technical background expected for a CS/ML master’s, but I’m also curious how employers or admissions people tend to view an ICT background compared with a traditional CS bachelor’s.
I’m genuinely interested in Machine Learning, and I could see myself going deeper into AI/ML. But my main concern is keeping as many doors open as possible. I’m not sure yet whether I want to stay in academia or pursue research long-term. Realistically, I want to work first and then decide later.
The Computer Science master sounds broader. For example, at KTH there are tracks like Data Science, and within that you can still choose a Machine Learning-oriented subtrack. So academically, it seems like I could still study a lot of ML while having “Computer Science” as the degree title.
My question is more about the career/resume signal:
Would a master’s in Computer Science look stronger or safer on a CV because it is broader and more widely recognized?
Or would a master’s in Machine Learning be better because it signals a clearer specialization in AI/ML?
I’m especially interested in perspectives from people working in Sweden/EU tech, ML engineering, data science, software engineering, or hiring/recruiting.
Basically:
If I’m interested in ML but want maximum flexibility, would you choose CS with ML/Data Science courses, or a dedicated ML master’s?
Thanks in advance.
Hey everyone,
I’m trying to decide between doing a master’s in Computer Science or a master’s in Machine Learning, and I’d really appreciate some career-oriented advice.
For context, I’m based in Sweden, and my bachelor’s is in Information and Communication Technology. My assumption is that this should cover the basic technical background expected for a CS/ML master’s, but I’m also curious how employers or admissions people tend to view an ICT background compared with a traditional CS bachelor’s.
I’m genuinely interested in Machine Learning, and I could see myself going deeper into AI/ML. But my main concern is keeping as many doors open as possible. I’m not sure yet whether I want to stay in academia or pursue research long-term. Realistically, I want to work first and then decide later.
The Computer Science master sounds broader. For example, at KTH there are tracks like Data Science, and within that you can still choose a Machine Learning-oriented subtrack. So academically, it seems like I could still study a lot of ML while having “Computer Science” as the degree title.
My question is more about the career/resume signal:
Would a master’s in Computer Science look stronger or safer on a CV because it is broader and more widely recognized?
Or would a master’s in Machine Learning be better because it signals a clearer specialization in AI/ML?
I’m especially interested in perspectives from people working in Sweden/EU tech, ML engineering, data science, software engineering, or hiring/recruiting.
Basically:
If I’m interested in ML but want maximum flexibility, would you choose CS with ML/Data Science courses, or a dedicated ML master’s?
Thanks in advance.