TRANSFORM SUPERVISION WITH PRACTICAL DATA SCIENCE SKILLS
Build the skills to lead data-driven transformation in supervisory practice
This Cambridge course empowers regulators, supervisors and analysts to harness advanced data science tools for practical suptech applications. Learn how to create actionable intelligence, navigate ethical data use and design impactful, data-enabled supervisory solutions.
Overview
The Practical Data Science in Financial Supervision course equips financial authorities and technical professionals with the tools and knowledge to use data science responsibly and effectively. Through hands-on practice, expert instruction and real-world case studies, this course bridges the gap between technical data work and supervisory strategy, enabling learners to develop use cases that solve real regulatory challenges.
Upcoming courses
Format: Dates: Duration: Investment¹:
Online
06 Oct - 16 Nov 2025
6 weeks
Individuals $2,500
Financial Authorities $2,200 (5 seats minimum)
Online
27 Apr - 21 Jun 2026
6 weeks
Individuals $2,500
Financial Authorities $2,200 (5 seats minimum)
¹ VAT may apply
Key Takeaways
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Explore collaboration between financial supervisors and data scientists to address supervisory challenges.
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Build practical skills in advanced analytics, machine learning and suptech data products using live datasets.
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Apply SupTech Taxonomy and Generations frameworks to design strategic data science roadmaps.
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Engage with real-world case studies to master data analysis and understand supervisory value.
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Experiment with synthetic data models to see how parameter changes impact outcomes.
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Master ethical, secure and transparent data governance principles.
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Gain hands-on experience with the Data Gymnasium interactive tool and complete a real-data capstone project.
Why Cambridge Centre for Alternative Finance?
Learn from data science and regulatory experts
Content is developed and delivered by the Cambridge SupTech Lab and data scientists with experience across regulatory environments.
Join a global regulatory network
Join the Regulator Knowledge Exchange platform and gain access to practical tools, a global network of peers, and ongoing collaborations with over 2,500 supervisors worldwide.
Build lasting data science capacity
Develop expertise in essential and advanced approaches, applying them to actionable use cases tailored to your institutional context.
Earn a certificate from Cambridge
Receive a Certificate of Completion from Cambridge Judge Business School Executive Education.
Distilling the Digital Ocean: Practical Data Science in Financial Supervision
How You Learn
The course features asynchronous self-paced learning, real-world assignments and case studies, and an interactive capstone project.
Who should attend
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Current or aspiring leaders in supervisory, regulatory, or analytical roles.
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Professionals involved in developing or deploying data-driven tools within financial authorities.
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Individuals aiming to enhance practical data science skills in a supervisory or regulatory setting.
Language
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English
You are
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An individual who currently hold positions such as supervisor, regulator, policymaker, economist, examiner, actuary, analyst, data scientist, or technologist within regulatory, supervisory, policymaking or private sector authorities.
Time commitment
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6-7 hours per week
Course Leadership
Raghavendra Rau
Academic Director, CCAF
Simone di Castri
Co-Head,
SupTech Lab
Matt Grasser
Co-Head
SupTech Lab
Course Experts
Juliet Ongwae
SupTech Strategy, Regulation
Zonathan Hass
FinCrime Analytics, Product Design
Abhisekh Rana
Machine Learning, Supervision
Daniel Turner-Szymkiewicz
AI Risk, Financial Crime
Kalliopi Letsiou
Data Science, Risk Analytics
Christopher Guess
AI Tools, Fact-Checking
Certification
Upon successful completion, you will receive a digital Certificate of Completion from the Cambridge Judge Business School Executive Education. This certificate validates your expertise in applying data science to financial supervision.
What our participants say
The Practical Data Science Program provided me with invaluable, hands-on experience, equipping me with essential skills for data-driven decision-making. As a professional in the financial and insurance regulatory sector, I found the program’s practical approach to data science directly applicable to real-world challenges.
Highly recommended for anyone looking to strengthen their data analytics capabilities.
Laura Consuelo López Maldonado
SBS (Perú)
Speak to a course advisor
If you have any questions and/or would like to explore how this course can benefit you or your organisation, please feel free to contact our Course Advisor.
