I will be starting a Maths with Data Science degree at the LSE shortly. I loved a-level maths, and am looking forward to starting my degree, however, I am slightly concerned that I am missing out on the key 'skills' that a maths degree provides.
From what I've read, LSEs maths is much more focused on applied mathematics specifically within a social science/finance setting. For example, there are no physics/mechanics options available. In the same regard, I have been told that there is not that big of an emphasis on proofs unlike Maths degrees at different universities.
I chose the LSEs course because:
1) I enjoyed a-level maths/further maths a lot, and I have been told that it is similar to 'applied maths' in university - heard a story at a Warwick open day about someone not enjoying their Maths as much due to the switch to proofs/theorems
2) There is a lot of flexibility in the final year for social science options - my degree allows me to take all the 'main' economic modules (Micro/Macro 1 and 2) that an Economics student would if I choose (enough so to do a graduate program in economics). Similarly, lots of flexibility for more data orientated modules (my compulsory 3rd year modules are exclusively machine learning/ai - tons of opportunities for these)
3) The environment is very career orientated
I am fearful that studying Maths at the LSE will not grant me the same 'rigour' and 'reputation' that a more traditional maths course would grant. Not in an egotistical sense, but in a sense that my general maths degree skills (e.g. analytical ability, thinking outside the box etc) are toned down compared to others maths students, resulting is a less respected degree for highly quantitative roles / post-graduate studies.
Are my concerns valid or am I generally overthinking?