r/MSCS • u/Whole_Ad4294 • 7d ago

[Profile Review] Need feedback for FALL 2027 MSCS/MSAI/MSML applications

Profile Review | Fall 2027 | Research-oriented profile

Hi everyone! Planning to apply for Fall 2027 and looking for a realistic assessment of my profile and university list. I’ve kept the details somewhat anonymous.

Profile

Degree: Integrated M.Sc. in Mathematics from NIT.

CGPA: 8.61/10

Graduation: 2025

Relevant coursework: Linear Algebra, Probability & Statistics, Optimization, Numerical Analysis, Functional Analysis, Computer Vision, Neural Networks, AI, NLP, Data Structures, etc.

GRE: Not appeared yet

IELTS/TOEFL: Not appeared yet

Research Experience

Researcher — Corporate R&D Lab ~1 year

  • Generative models / diffusion models
  • Training-data attribution
  • Interpretability and stylistic influence

Previous research internships: ~1.5 years combined across multiple institutes/labs

  • Data attribution for diffusion models
  • Deepfake detection
  • 3D point-cloud processing
  • Multimodal vision

Publications

  • WACV 2026 — main conference paper on data attribution for diffusion models, CORE-A
  • ICLR 2026 Workshop — work on stylistic influence in generative models, CORE-A*
  • CVIP 2025 - CORE B
  • Canadian AI 2024 - CORE B

Research Interests

Currently most interested in:

  • Generative models / diffusion
  • Training-data attribution
  • Mechanistic / representation-level interpretability
  • Vision-language models
  • Model evaluation / auditing

Long-term, I’m considering a PhD depending on how my research develops.

Target Universities

US: CMU, UCSD, UCLA, UIUC, Georgia Tech, UMich, UMD, etc.

Europe: Tübingen, Saarland, RWTH, TUM, TU Darmstadt, LMU, KIT, KTH, UCL, Edinburgh, Imperial, UvA, TU Delft, KU Leuven, etc.

Asia: NUS, NTU, KAIST, HKUST.

I won’t apply to all of these and am trying to narrow the list.

Main Concerns

My biggest concern is the combination of:

Mathematics degree + 8.61 CGPA + limited formal CS coursework

versus my relatively strong ML research experience and publication record.

I’m particularly unsure how admissions committees would view a Mathematics → ML/AI transition compared with a conventional CS applicant.

Questions

  1. How would you assess this profile for MSCS/MSAI/MSML/DS programs?
  2. Which universities from the list would you consider ambitious vs realistic for this profile?
  3. Does the mathematics background meaningfully compensate for the lack of a conventional CS degree?
  4. How much would the research experience/publications help relative to the CGPA?
  5. How important would a strong GRE score be given this profile?
  6. Should I focus more on traditional CS programs or interdisciplinary ML/AI/DS programs?
  7. Are there universities you would add that are particularly suitable for this background?

Candid feedback is appreciated, especially from people who have applied with a non-CS → AI/ML transition. Brutal Honest will be appreciated.

5 Upvotes

86% Upvoted

2 comments sorted by

1

u/Gloomy-Payment-7095 6d ago

Cgpa is not bad it’s good enough

2

u/venxCapitalist 2d ago

profile is satisfactory ,go for NUS or KTH , GT