1.
BSc in Computer Science: This degree will give you a solid foundation in programming, algorithms, and software development, with some exposure to AI concepts, depending on your elective choices. It's a versatile degree, and while it does cover some math, it might not delve deeply into the advanced mathematics often used in AI research.
2.
BSc in CS + AI: This is likely the most directly aligned with your goal of pursuing AI. It’s designed to cover both the computational and conceptual aspects of AI, including machine learning, neural networks, and possibly some natural language processing. The math you’ll encounter in this degree will be more tailored to AI applications, though it might not go as deep into theoretical math as a CS + Math degree would.
3.
BSc in CS + Math: If you're very interested in the theoretical and mathematical side of AI, this could be an excellent choice. AI relies heavily on advanced mathematics, including linear algebra, probability, and calculus. This degree would likely give you a more rigorous mathematical foundation, which can be crucial if you plan to get into more research-oriented or cutting-edge AI fields.
•
If you want a broad understanding of AI with enough math to support your studies, CS + AI might be the best fit.
•
If you’re more interested in the theoretical underpinnings and want a stronger math background to potentially go into AI research, CS + Math could be ideal.
•
If you’re looking for flexibility and want to keep your options open in the broader tech industry while still having some AI exposure, CS might be the way to go.
1.
BSc in Computer Science: This degree will give you a solid foundation in programming, algorithms, and software development, with some exposure to AI concepts, depending on your elective choices. It's a versatile degree, and while it does cover some math, it might not delve deeply into the advanced mathematics often used in AI research.
2.
BSc in CS + AI: This is likely the most directly aligned with your goal of pursuing AI. It’s designed to cover both the computational and conceptual aspects of AI, including machine learning, neural networks, and possibly some natural language processing. The math you’ll encounter in this degree will be more tailored to AI applications, though it might not go as deep into theoretical math as a CS + Math degree would.
3.
BSc in CS + Math: If you're very interested in the theoretical and mathematical side of AI, this could be an excellent choice. AI relies heavily on advanced mathematics, including linear algebra, probability, and calculus. This degree would likely give you a more rigorous mathematical foundation, which can be crucial if you plan to get into more research-oriented or cutting-edge AI fields.
•
If you want a broad understanding of AI with enough math to support your studies, CS + AI might be the best fit.
•
If you’re more interested in the theoretical underpinnings and want a stronger math background to potentially go into AI research, CS + Math could be ideal.
•
If you’re looking for flexibility and want to keep your options open in the broader tech industry while still having some AI exposure, CS might be the way to go.
Last reply 2 weeks ago
what unis do i realistically and brutally honestly have a chance of getting intoLast reply 2 weeks ago
Laptop choice for CS at university - Dell Inspiron 16 Plus / MacBook Air M3 (13 inch)Last reply 2 weeks ago
Worth applying to UCL, Warwick & Imperial for Computer Science??Last reply 2 weeks ago
am i at a huge disadvantage for university because of my A level options?Last reply 3 weeks ago
Can I take BEng in Computer science with the subjects Maths, Economics BusinessLast reply 1 month ago
TMUA: Is there a 15 minute break between Paper 1 and Paper 2?