MSc Finance with AI

Reimagine Everything®. Decide with Confidence.

Finance was quantitative long before the current wave of AI. What has changed is how many roles now expect quantitative and machine learning methods as standard. This MSc, delivered by Robert Kennedy College in exclusive partnership with the University of Lancashire, pairs core financial principles with applied machine learning and the regulatory literacy the sector demands.

You will work through financial markets, capital structure, capital budgeting and portfolio risk, then apply statistical and machine learning techniques to real financial data. The programme closes on fintech innovation, sustainable finance and ESG, followed by a self-directed Impact Project shaped around your own career goals rather than a traditional dissertation.

Welcome video from Professor Janice Allan
Pro Vice-Chancellor (Academic Leadership), University of Lancashire

Swiss Quality. Since 1998. British Excellence. Award-Winning Innovation.

This programme combines the excellence of Swiss-quality education with the prestige of a British degree from an award-winning university. For over two decades, Robert Kennedy College has been at the forefront of online education, while the University of Lancashire’s recognition as University of the Year and ranked in the top 7% of universities worldwide ensures you receive exceptional value alongside academic excellence.

Why This Programme?

- Core Finance, Properly Covered: Financial institutions and instruments, capital structure, capital budgeting, financial analysis and portfolio risk

- Machine Learning Applied to Real Financial Data: From collection and transformation through visualisation to advanced statistical and ML methods for predicting financial trends

- Fintech and Sustainable Finance: Regulatory frameworks, ESG factors and the ethical questions that come with next-generation finance

- AI Fluency Without Coding: A dedicated module on responsible, practical AI in professional practice, with no programming required

- No Dissertation. Real Impact: Replace a traditional dissertation with a self-directed consultancy, business analysis, or entrepreneurship project — tailored to your career goals

- Flexible Online Learning: Study at your own pace with 100% online delivery through our interactive OnlineCampus

Your MSc Finance with AI degree is:

- Recognised worldwide by business and industry leaders

- Awarded directly by the University of Lancashire

- Identical to degrees earned on campus

- Fully recognised by the UK government

Career Outcomes

Graduates are prepared for roles such as:

- Financial Analyst

- Investment Analyst

- Risk Manager

- Quantitative Analyst

- Fintech Product Manager

- Corporate Finance Manager

- ESG and Sustainable Finance Analyst

- Treasury Manager

- Finance Business Partner

- Chief Financial Officer

Duration

12 months to 2 years

Delivery Method

100% online via OnlineCampus (an interactive online learning environment) with intensive class discussion and collaboration.

Terms

We offer rolling admissions throughout the year. Register at any time and begin your learning journey immediately.

Tuition Fees

Standard Programme Fee: CHF 12,600

Dean’s Bursary Now Available

Bursary value: CHF 2,700

Final Programme Fee: CHF 9,900

Flexible Payment Options

Interest-free monthly installments matched to your programme duration:

12-month programme: CHF 825 per month (12 installments)

24-month programme: CHF 412.50 per month (24 installments)

Payment plan corresponds to your chosen study timeline

This covers everything: tuition, online study materials, and University fees

Programme not eligible for UK Government student finance.

Explore Tuition Plans & Rates in Your Currency

Accreditation and Recognition

The University of Lancashire MSc and MBA programmes, offered online in exclusive partnership with Robert Kennedy College, are recognised worldwide. Once you complete your studies at Robert Kennedy College, you will receive a degree from the University of Lancashire.

The University of Lancashire received its University title and degreeawarding powers from Her Majesty’s Most Honourable Privy Council. It is fully recognised by the British Government and duly listed on the United Kingdom’s Department for Education list of recognised UK awarding institutions.

The University of Lancashire's recent accolades include University of the Year (The Edufuturists Uprising 2023) and ranking in the top 7% of universities worldwide (Center for World University Rankings 2024)

Admission Requirements

We welcome applications from students who may not meet the formal entry criteria but who have relevant experience or the ability to pursue the course successfully.

The formal entry requirements are:

- 2:2 Honours Degree or above in a related discipline

- English language at IELTS 6.0 (with no component below 5.5), taken within two years prior to your course commencement date

Candidates with professional qualifications and/or work experience are considered on a case-by-case basis, and may be invited to a 45-minute interview to discuss their background and interest in the course.

Applications are considered from candidates who do not meet the formal entry requirements but can provide evidence of equivalence.

Examples of equivalence are:

- A wide range of professional qualifications and/or work experience

- Working or studying in English or an English-speaking environment

Programme Outline

Introductory

Not-for-credit

Induction

This is the first module of the programme which gives an orientation to the course and the online learning style. It does not carry credits, and students are encouraged to go through the material in this module at their own pace and get accustomed to the online medium.

The MSc Finance with AI consists of 180 credits delivered through six comprehensive modules:

Stage 1: Financial Foundations and Analytics (60 credits)

Module 1: Mastering Finance (30 credits)

Module 2: Finance and Machine Learning (30 credits)

Stage 2: Next Generation Finance and AI Practice (60 credits)

Module 3: Next Gen Finance (30 credits)

Module 4: AI for Business and Professional Practice (30 credits)

Stage 3: Professional Development and Impact (60 credits)

Module 5: Learning without Limits (30 credits)

Module 6: Impact Project (30 credits)

Module Descriptions

Module 1: Mastering Finance (30 credits)

Develop advanced knowledge of the key financial principles and strategies that underpin corporate and investment decision-making, and apply them to real-world scenarios rather than textbook abstractions.

❚ Financial institutions, markets and instruments

❚ Capital structure and its impact on the firm

❚ Capital budgeting techniques and investment appraisal

❚ Financial analysis and planning

❚ Financial risk and portfolio management

Module 2: Finance and Machine Learning (30 credits)

Build practical competence across the financial data pipeline. You will collect, transform, visualise and analyse financial data using advanced statistical methods and machine learning techniques — and critically evaluate the ethics of doing so.

❚ Data collection and transformation

❚ Data visualisation for financial audiences

❚ Foundational and advanced statistical methods in finance

❚ Applying machine learning techniques to analyse and predict financial trends

❚ Interpreting model output and its limitations

❚ Ethical considerations in financial data analytics

Module 3: Next Gen Finance (30 credits)

Develop a critical overview of how financial technologies are reshaping national and global finance, and the systematic knowledge to evaluate the regulatory and ethical frameworks governing them.

❚ Fintech and financial technology innovations

❚ Regulatory frameworks relating to fintech

❚ Sustainable finance and reporting

❚ Ethical principles and decision-making in finance

❚ Environmental, social and governance (ESG) factors

Module 4: AI for Business and Professional Practice (30 credits)

Build a critical, practical command of artificial intelligence and its responsible use in professional work. You will learn what current AI can and cannot do, use and evaluate AI tools and workflows in a finance and data analytics context, and design an AI-enabled solution proposal. No coding, model development or deployment expertise is required.

❚ AI literacy: generative AI, machine learning, automation, predictive analytics, large language models and intelligent agents

❚ Prompt design, AI-assisted research, source checking, hallucination, reliability and bias

❚ AI-supported analysis and decision-making with human-in-the-loop judgement

❚ Responsible AI: privacy, GDPR, intellectual property, transparency, explainability, inclusion and accountability

❚ AI-enabled solution planning: problem framing, stakeholder analysis, workflow mapping, risk controls and success measures

Module 5: Learning without Limits (30 credits)

Take ownership of your own professional development. You will analyse industry skill trends, map the capabilities you already hold against those the market is demanding, and build an authentic professional identity that communicates your value to employers and collaborators.

❚ Analysing sector reports and future-of-skills research (e.g. World Economic Forum)

❚ Sector-specific versus transferable skills across industries

❚ Recognising learning from work, volunteering and micro-credentials

❚ Skills mapping, peer feedback and reflective video diaries

❚ Personal branding: elevator pitches, LinkedIn, digital portfolios, vlogs and podcasts

Module 6: Impact Project (30 credits)

Take full ownership of a self-directed consultancy, business analysis, or entrepreneurship project. This is your opportunity to apply everything you have learned to a real challenge that is independent, career-focused, and tailored to your future goals.

❚ Applied research methods and evidence-based decision-making

❚ Project scoping, management, and impact-driven outcomes

❚ 3,000-word plan or report, accompanied by either a 5-minute video or a voice-over presentation