MBA with Professional Certificate in Machine Learning Credit Risk

Tuesday, 13 January 2026 19:18:05

International Students can apply

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MBA with Professional Certificate in Machine Learning Credit Risk

Overview

Machine Learning Credit Risk

is designed for finance professionals seeking to enhance their credit assessment skills. This program focuses on developing predictive models to identify credit risk using machine learning techniques.
Some of the key concepts covered include credit scoring, risk modeling, and data analysis. The program is tailored for those with a basic understanding of finance and statistics.
Through a combination of lectures, case studies, and practical exercises, learners will gain hands-on experience in building and deploying machine learning models.
By the end of the program, learners will be equipped with the skills to analyze complex credit data and make informed decisions.
Explore the possibilities of machine learning in credit risk assessment and take the first step towards a more data-driven approach.

Machine Learning is revolutionizing the field of credit risk management, and our MBA with Professional Certificate in Machine Learning Credit Risk is designed to equip you with the skills to harness its power. This program combines the rigors of an MBA with the cutting-edge techniques of machine learning to help you analyze and mitigate credit risk. With machine learning at its core, you'll learn to build predictive models, identify high-risk customers, and develop data-driven strategies to optimize credit portfolios. Upon completion, you'll enjoy machine learning career prospects in finance, banking, and beyond, with a competitive edge in the job market. (7)

Entry requirements

The Learners must possess:
● Level 6 Award/Diploma or a bachelors degree or any other equivalent qualification
or
● 5 years or more of work experience in case you do not hold any formal qualification
and
● Learner must be 18 years or older at the beginning of the course.


International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

•
Machine Learning Fundamentals for Credit Risk
•
Credit Risk Modeling with Machine Learning
•
Predictive Analytics for Credit Decision Making
•
Supervised Learning Techniques for Credit Risk Assessment
•
Unsupervised Learning Techniques for Credit Risk Detection
•
Deep Learning for Credit Risk Analysis
•
Ensemble Methods for Credit Risk Prediction
•
Feature Engineering for Machine Learning in Credit Risk
•
Model Evaluation and Validation for Credit Risk
•
Regulatory Compliance and Ethics in Machine Learning for Credit Risk

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

The programme is available in two duration modes:

12 Months: GBP £7700
18 Months: GBP £6700
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

12 Months - GBP £7700

● Payment option (a) - GBP £770 x 10 monthly instalments
● Payment option (b) - GBP £2566 x 3 quarterly instalments
● Payment option (c) - GBP £3850 x 2 half yearly instalments
● Payment option (d) - GBP £7315 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

18 Months - GBP £6700

● Payment option (a) - GBP £478 x 14 monthly instalments
● Payment option (b) - GBP £1340 x 5 quarterly instalments
● Payment option (c) - GBP £2233 x 3 half yearly instalments
● Payment option (d) - GBP £6365 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

40% Cheaper

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

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Accreditation

 Stage 1 (Delivered by LSIB):
The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS).

Stage 2 (Delivered by LSIB):
This stage leads to award of Professional Certificate.

Stage 3 (Delivered by the University / awarding body)
On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 3 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS).

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
    •

Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about MBA with Professional Certificate in Machine Learning Credit Risk

The MBA with Professional Certificate in Machine Learning Credit Risk is a specialized program designed for professionals in the financial industry who want to enhance their knowledge in machine learning and credit risk management.
This program is ideal for those who want to stay ahead in the competitive financial landscape and make informed decisions using data-driven insights.
The learning outcomes of this program include understanding the application of machine learning algorithms in credit risk assessment, developing predictive models to identify creditworthiness, and implementing risk management strategies to minimize potential losses.
The duration of the program is typically 6-12 months, depending on the institution and the student's prior experience.
The program is highly relevant to the industry, as machine learning and credit risk management are increasingly important in the financial sector.
Professionals in this field can expect to gain a competitive edge and improve their career prospects with this specialized certification.
The program covers topics such as credit scoring, portfolio risk management, and machine learning techniques for credit risk assessment, making it a valuable addition to any finance professional's skillset.
The industry relevance of this program is further enhanced by the fact that many financial institutions are adopting machine learning and artificial intelligence to improve their credit risk management processes.
By completing this program, professionals can demonstrate their expertise in machine learning credit risk management and enhance their employability in the financial industry.

Why this course?

Machine Learning Credit Risk is a highly sought-after skill in today's market, with the UK's financial sector being no exception. According to a report by the Centre for Economics and Business Research, the UK's financial services industry is expected to invest £1.4 billion in machine learning and artificial intelligence by 2025, up from £700 million in 2019.
Year Investment (£m)
2019 700
2020 1,000
2025 1,400

Who should enrol in MBA with Professional Certificate in Machine Learning Credit Risk?

Machine Learning is a rapidly growing field that combines data analysis, statistical models, and computational algorithms to predict and mitigate credit risk.
Ideal Audience: Professionals in the financial sector, particularly those in credit risk management, risk analysis, and data science, can benefit from this programme.
Key Characteristics: The ideal candidate should have a strong foundation in mathematics, statistics, and computer science, with at least 2-3 years of experience in a related field, and a desire to stay up-to-date with the latest machine learning techniques and tools.
UK-Specific Statistics: According to a report by the Financial Conduct Authority, the UK's financial services sector employs over 1.2 million people, with credit risk management being a critical function. The programme is designed to equip professionals with the skills to tackle complex credit risk challenges, making it an attractive option for those in the sector.
Learning Outcomes: Upon completion of the programme, learners can expect to gain a deep understanding of machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. They will also develop practical skills in credit risk assessment, portfolio management, and risk modeling.