Hey everyone,
I’m a 23-year-old CS grad trying to make a pretty important decision and would really appreciate some honest input from people who’ve been through this.
I currently have an admit from Uppsala University (Data Science ,ML and Statistics) for this August. At the same time, my long-term goal was to get into top-tier AI programs like CMU MS AI (MII).
Here’s my situation:
- TOEFL: 110
- GRE: Appearing this May
- Current role: Research Intern at IIT Bombay
- Background: Strong ML + systems exposure, including NLP, LLM integration, and a published IEEE paper
- No financial constraints for either option
Now the dilemma:
Option 1:
Go ahead with Uppsala this year, build profile further and skip US?
Option 2:
Skip this admit, apply to US schools (CMU, etc.) in Fall, and join next year (Fall 2027).
The tradeoff for me is basically:
- Time vs upside
- Safe, good path vs high-risk, high-reward
What I’m really trying to understand:
- Does waiting 1 year actually make a meaningful difference for programs like CMU MS AI?
- Would going to Uppsala weaken or strengthen my chances for top US admits later?
- From a career standpoint (AI/ML research or applied ML roles), how big is the gap between a place like Uppsala vs CMU?
- If you were in my position, would you take the shot or play it safe?
Would really appreciate any insights, especially from people who’ve applied to top AI programs or taken a similar call.
Background (for context):
I completed my B.Tech in Computer Engineering (CGPA: 9.48) in June,2025 from VIIT, Pune and have been actively working at the intersection of ML and systems.
I’m currently a Software Developer at a startup, where I’ve built a Flutter-based mobile application end-to-end, designed the database architecture using Supabase, and worked on backend optimization with APIs and real-time systems.
Alongside this, I’m also working as a Research Intern at IIT Bombay.
On the research side, I’ve worked on projects like a stock market prediction system combining LSTM time-series models with BERT-based sentiment analysis of financial news, and an adaptive learning system using multiple ML models (Decision Trees, Random Forest, etc.), which was published in an IEEE conference .
I also have experience with LLMs and NLP, including prompt engineering and tool-based integrations, and have built systems that combine real-world applications with ML models.
From a systems perspective, I’ve worked with C++ in low-latency environments, including a trading systems internship where I implemented WebSocket and REST-based real-time data pipelines.
Overall, my interest lies in applied AI systems, especially where ML meets real-world infrastructure and products.
Thanks in advance 🙏
PS: The fee payment deadline for Uppsala is May 15 ;)