Limited spots — Enrol now and start immediately
Home / Courses / Data Science for Anti-Money Laundering Investigations
London, United Kingdom · Study online with SSB

Data Science for Anti-Money Laundering Investigations

Learn to apply data science techniques for detecting, analyzing, and preventing money laundering through analytics, machine learning, and investigation tools
Free preview available
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2818 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
2818+
Enrolled
4.5★
Rating
5
Units
150+
Countries

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Transaction Pattern Detection

2

Network Graph Analytics

3

Risk Scoring Models

4

Customer Segmentation

5

Anomaly Detection Engine

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I recently completed the 'Data Science for Anti-Money Laundering Investigations' course at Stanmore School of Business, and I must say it was a game-changer for my career. The course content was incredibly comprehensive, covering everything from data preprocessing to machine learning models for AML. I particularly appreciated the hands-on exercises, which helped me develop practical skills in using Python and TensorFlow for AML investigations. The instructors were knowledgeable and responsive, and the course materials were top-notch. I've already applied the knowledge and skills I gained to my work, and I'm excited to see the impact it will have on my future projects. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to upskill in AML investigations.

LH
Leila Hassan
EG · Course completed

I took the 'Data Science for Anti-Money Laundering Investigations' course at Stanmore School of Business, and it was a really valuable learning experience. The course covered a lot of ground, from introductory data science concepts to advanced techniques for AML investigations. I found the lectures to be clear and concise, and the assignments were challenging but helpful in reinforcing my understanding of the material. One thing that really stood out to me was the emphasis on real-world applications - the instructors used lots of examples and case studies to illustrate the concepts, which made it easier to see how the skills I was learning could be used in practice. My only suggestion would be to add more feedback opportunities for students, but overall I was happy with the course and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Data Science for Anti-Money Laundering Investigations' course at Stanmore School of Business was absolutely amazing. I was a bit skeptical at first, since I don't have a background in finance or law enforcement, but the instructors were so knowledgeable and enthusiastic that they made the material really accessible and engaging. I loved the interactive elements of the course, like the discussion forums and group projects - it was great to collaborate with other students and learn from their experiences. The course materials were also super comprehensive, with tons of resources and references for further learning. I feel like I gained a whole new set of skills and perspectives, and I'm already applying them to my work in data science. If you're interested in AML investigations, this course is a must-take - trust me, you won't regret it!

RS
Rafaela Silva
BR · Course completed

I completed the 'Data Science for Anti-Money Laundering Investigations' course at Stanmore School of Business, and I was really impressed with the quality of the instruction and the course materials. The lectures were detailed and well-organized, and the assignments were relevant and challenging. I appreciated the focus on practical skills, like data visualization and machine learning, and the way the instructors wove together different concepts and techniques to create a cohesive narrative. One thing that might be helpful in the future would be to add more opportunities for students to get feedback on their work, perhaps through peer review or one-on-one mentoring. Overall, though, I was really happy with the course and would recommend it to anyone looking to develop their skills in data science for AML investigations. The knowledge and skills I gained have already been helpful in my work, and I'm excited to continue learning and growing in this field.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

April 2026