Quantum Formalism Academy
Impact Report: The First 10 Months (Jan - Oct 2025)

Strong mathematical depth is the ultimate career multiplier.

Just 10 months after our first tracked cohort of learners, we conducted one-to-one follow-ups with our top 50 graduates to understand the real impact of upskilling through rigorous mathematical learning. The results confirmed our core belief: a deep command of mathematics delivers transformative outcomes in AI and Quantum Computing.

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76%

of industry professionals reported a promotion or significant role change within 8 months.

$48k–$65k

average annual salary increase among software engineers and data scientists.

68%

of career-switchers secured a new job or internship in under 6 months after completion.

$82k

average starting package for new ML and quantum algorithms roles.

From Industry Professionals

  • 76% reported a promotion or significant role change within 8 months of starting their learning journey with QF Academy.
  • Average salary increases of $48,000–$65,000 were concentrated among software engineers and data scientists who deepened their knowledge with our courses.
  • Key courses driving this growth included Lie Groups with Applications and Mathematical Foundations of Quantum Computing.

From Career Transitioners

  • 68% secured a job or internship in less than 6 months after completing their coursework.
  • Graduates landed roles in ML and quantum algorithms with an average starting package of $82,000/year.
  • They built the confidence and intuition to apply their knowledge in advanced projects like Graph Convolutional Networks, which made them stand out to employers.

An Unparalleled Return on Investment

For learners on our founding Lone Wolf Hacker plan ($216/year), the median return far exceeded the 150x return we projected for them within a single year.

“I was initially reluctant to join QF Academy, thinking I could just learn from free YouTube videos and books... I soon realised that I was struggling to stay consistent and truly understand the deeper concepts. The structured self-paced curriculum, live bootcamps, and personal feedback at QF Academy made all the difference. It kept me accountable... and ultimately gave me the confidence to apply my knowledge in advanced and impactful machine learning projects (Graph Convolutional Networks).”

Alex K (ML at a Big tech)

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QF Courses That Moved the Needle for the Cohort

  • Lie Groups with Applications
  • Mathematical Foundations of Quantum Computing
  • Advanced Linear Algebra for ML
  • Measure Theory and Functional Analysis
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Methodology

To understand the real impact of upskilling through rigorous mathematical learning, we conducted one-to-one follow-ups with the top 50 graduates from our first tracked cohort, 10 months after the program started.

Questions covered role changes, compensation trajectories, hiring timelines, and confidence around advanced projects. Figures reflect self-reported outcomes corroborated where possible with public profiles.

Notes & Context

  • Time horizons for reported outcomes ranged from 6–10 months post-enrolment.
  • Roles spanned software engineering, data science, ML research, and quantum algorithms.
  • All numbers are rounded to highlight meaningful ranges rather than outliers.

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