Undergraduate Certificate in AI and Big Data for Fraud Detection

Sunday, 15 February 2026 19:58:40

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) and Big Data for Fraud Detection


Learn to identify and prevent financial fraud using AI and Big Data techniques.


This Undergraduate Certificate program is designed for data analysts and business professionals looking to enhance their skills in detecting and preventing financial fraud.


Through a combination of theoretical foundations and practical applications, you will gain expertise in machine learning algorithms, data mining, and data visualization to identify patterns and anomalies in large datasets.


Develop a deep understanding of fraud detection methodologies and learn to apply them in real-world scenarios to make informed business decisions.


Take the first step towards a career in AI and Big Data for Fraud Detection and explore this exciting field further.

AI and Big Data for Fraud Detection is a cutting-edge course that equips students with the skills to analyze and prevent financial crimes. By leveraging AI algorithms and big data analytics, learners will gain a deep understanding of the complex relationships between data, behavior, and risk. This course offers AI-powered tools to identify patterns, detect anomalies, and predict fraudulent activity. With a strong focus on practical applications, students will develop expertise in machine learning, data visualization, and statistical modeling. Graduates can expect excellent career prospects in the financial sector, with opportunities in risk management, compliance, and cybersecurity.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Machine Learning for Fraud Detection
• Data Preprocessing and Feature Engineering
• Supervised Learning Algorithms for Fraud Detection
• Unsupervised Learning Techniques for Anomaly Detection
• Deep Learning for Fraud Detection and Prediction
• Big Data Analytics for Fraud Detection
• Natural Language Processing for Text-Based Fraud Detection
• Predictive Modeling for Credit Risk Assessment
• Data Visualization for Fraud Detection and Investigation
• Ethics and Governance in AI and Big Data for Fraud Detection

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in AI and Big Data for Fraud Detection

The Undergraduate Certificate in AI and Big Data for Fraud Detection is a specialized program designed to equip students with the necessary skills to identify and prevent fraudulent activities in various industries.
This program focuses on the application of Artificial Intelligence (AI) and Big Data analytics to detect and prevent fraud, providing students with a comprehensive understanding of the concepts and techniques used in fraud detection.
Upon completion of the program, students will be able to analyze complex data sets, identify patterns, and develop predictive models to detect fraudulent activities, making them highly sought after in the job market.
The duration of the program is typically one year, with students completing a series of coursework, projects, and a final capstone project that demonstrates their ability to apply AI and Big Data analytics to real-world fraud detection scenarios.
The industry relevance of this program is high, with many organizations seeking professionals who can analyze large data sets and develop predictive models to detect and prevent fraud.
The skills and knowledge gained through this program are highly transferable across various industries, including finance, banking, insurance, and e-commerce, making it an excellent choice for students looking to launch a career in AI and Big Data analytics.
Graduates of this program will be able to work with various tools and technologies, including machine learning algorithms, data visualization tools, and programming languages such as Python and R, making them highly competitive in the job market.
Overall, the Undergraduate Certificate in AI and Big Data for Fraud Detection is an excellent choice for students looking to launch a career in AI and Big Data analytics, with its focus on practical skills and industry relevance making it an attractive option for those looking to prevent and detect fraudulent activities.

Why this course?

Undergraduate Certificate in AI and Big Data for Fraud Detection is a highly sought-after program in today's market, with the UK being no exception. According to a report by the UK's Financial Conduct Authority (FCA), the number of reported cybercrimes in the UK increased by 45% in 2020, with fraud being a significant contributor to this growth.
Year Number of Reported Cybercrimes
2019 134,000
2020 195,000
2021 243,000

Who should enrol in Undergraduate Certificate in AI and Big Data for Fraud Detection?

Primary Keyword: AI and Big Data for Fraud Detection Ideal Audience
Individuals with a strong foundation in mathematics and statistics, particularly those with a degree in Computer Science, Mathematics, or Statistics, are well-suited for this course. Professionals working in the financial sector, such as bankers, accountants, and auditors, can benefit from this knowledge to stay ahead in the industry.
Those interested in data science and machine learning, particularly in the UK where the financial sector is a significant contributor to the economy, can find this course highly relevant. The course is also beneficial for those looking to transition into a career in AI and Big Data, as it provides a solid understanding of the concepts and techniques used in fraud detection.
In the UK, the financial sector is a significant contributor to the economy, with the Financial Conduct Authority (FCA) estimating that £1.4 billion is lost to fraud each year. By gaining knowledge in AI and Big Data for Fraud Detection, individuals can help combat this issue and contribute to the growth of the UK's financial sector.