Economics and data science without data science

Hi everyone, I’d love some advice on whether I should go for my dream courses or aim a bit lower.
About me:
• Predicted: 3A* (Maths, Economics, Physics) – not doing Further Maths
• Academic scholar, UKMT Gold
• EPQ on markets and data science
• Imperial College entrepreneurship competition finalist
Also done work experience in Goldman Sachs, Bloomberg, Minesec(fintech)
Courses I’m considering:
• BSc Economics, Finance & Data Science – Imperial
• BSc Economics and data science or stats – LSE, Bristol, UCL
Realistically not going to get above 6.5 in TMUA
Given my profile (esp. no Further Maths), are these courses realistic or should I focus on slightly less competitive options too? Any tips for strengthening my application (PS, supercurriculars, etc.) would also be appreciated!

LSE is probably unrealistic without FM, the others should be possible as long as you write a good personal statement (and your supercurriculars look great for that). Strong TMUA and interview performance will also increase your chances for Imperial. Just make sure your 5th option is a safety with a high offer rate since your current 4 choices are all very competitive.