Concerns about my Maths degree

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?

I mean it should set you up well for quantitative roles given that is the majority of the course seemingly. What do you want to do post-graduate wise? If you want to continue with things you have been doing on your degree you'll be fine. However, you will be at a disadvantage if you want to do any pure maths at a masters level as you will have not learnt much of the ''pre-requisites'' for a lot of courses e.g. there is no mention of Sylow theorems in the Algebra course. But then again why would you have chosen this course if you wanted to do any pure maths.

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?