Financial Technology (FinTech) and Business Analytics (with optional Placement/Project year) MSc

2 Years On Campus Masters Program

University of Chester

Program Overview

The MSc in Financial Technology (FinTech) and Business Analytics at the University of Chester is designed to equip you with cutting-edge skills in financial technology, AI applications, and data-driven decision-making. It’s ideal for anyone aiming to advance their career in fintech, banking, or analytics, whether you’re a recent graduate or a working professional looking to upskill.

Curriculum Structure

Year 1 (Core MSc Year)
In the first year, you’ll immerse yourself in the fundamentals of fintech and analytics. Modules like Artificial Intelligence in Finance and Analytics provide hands-on experience with AI applications such as algorithmic trading and natural language processing. Quantitative Techniques for Financial Analysis sharpens your ability to interpret financial data for better business decisions, while Business and Financial Analytics and Programming and Digital Transformation equip you with essential technical skills to thrive in a digital financial landscape. You’ll also complete a research-focused project, which could be a dissertation, case study, or a novel business proposal.

Optional Placement/Project Year (Year 2)
If you choose the two-year option, the Research Dissertation is replaced by a Placement or Project Module. This allows you to gain real-world experience in a fintech or analytics role, applying your classroom learning to professional environments. Whether it’s an industry placement or a project-based collaboration, this year helps develop your practical problem-solving skills and strengthens your employability.

Focus Areas

Financial technology management, Artificial Intelligence applications in finance, business and financial analytics, programming, digital transformation, research methodology, real-world project implementation

Learning Outcomes

Develop advanced skills in AI and data analytics, apply quantitative techniques for financial decision-making, design innovative fintech solutions, critically evaluate emerging technologies, complete a professional research or industry-based project, enhance employability through real-world experience

Professional Alignment (Accreditation)

Course content aligns with current industry practices in fintech, banking, and business analytics; taught by academic thought leaders and former industry executives to ensure professional relevance.

Reputation (Employability Rankings)

University of Chester MSc graduates benefit from hands-on learning, exposure to industry-standard datasets (Alpha Vantage API), and support from a career services team, enhancing prospects in high-demand fintech and analytics roles.

Experiential Learning (Research, Projects, Internships etc.)

At Chester, learning goes far beyond lectures and textbooks — you’ll get hands-on experience with the tools and real-world data that today’s fintech and business analytics professionals use. From day one, you’ll work with live financial datasets via the Alpha Vantage API, explore AI applications in finance, and apply quantitative techniques using software like Python, SPSS, Stata, AMOS, and Excel. Modules such as Programming for Business Analytics and Quantitative Techniques for Financial Analysis are designed so you’re constantly solving practical problems, not just learning theory. On top of that, the optional placement or professional project year lets you step into a real workplace environment, apply what you’ve learned, and build your network with the support of the University’s Careers and Employability Service.

To give you a clearer picture of the practical experiences and facilities you’ll use:

Modern computer suites and labs at Queen’s Park, fully equipped for analytics, programming, and fintech applications.
Business Library and study spaces with collaborative pods, perfect for group projects and research.
Access to the University library network with thousands of e-journals, books, and study areas to support coursework and independent research.
Group projects and case studies embedded in your modules, giving you real-world problem-solving experience.
Placement and professional project opportunities in the second year, providing invaluable workplace experience and industry connections.
Chester Business School’s seminar rooms, lecture theatres, and common areas for collaborative learning and networking with peers and guest speakers.
Ongoing support from the Careers and Employability team, offering workshops, mentorship, and help securing internships aligned with your career goals.

These hands-on experiences ensure you don’t just learn about fintech and analytics — you live it, building the skills, confidence, and professional network you need to thrive in a competitive job market.

Progression & Future Opportunities

Graduates from the MSc Financial Technology (FinTech) and Business Analytics leave Chester ready to step confidently into the fast-moving world of finance and technology. Whether you see yourself as a FinTech Analyst, Business/Data Analyst, Financial Technology Consultant, or Risk/Quantitative Analyst, this programme gives you the practical skills and analytical insight to thrive in data-driven roles. Because the course combines real-world datasets, programming, AI applications, and business understanding, you’ll be equipped to make smart decisions and deliver impact from day one:

Careers Support: The University’s Careers and Employability Service provides tailored guidance, CV workshops, interview preparation, and networking opportunities with employers to help you move seamlessly from study to professional life.
Placement & Project Opportunities: The optional two-year route lets you gain hands-on experience through a professional placement or project year, building industry connections and applying your skills in real-world settings.
Graduate Outcomes: You’ll finish with expertise in fintech, analytics, AI applications, and programming — highly sought-after skills for roles across banking, consultancy, tech startups, and corporate analytics teams.
Industry Recognition & Value: A Chester postgraduate degree demonstrates advanced technical and analytical ability to employers worldwide, while the Business School’s reputation adds extra credibility to your qualification.

Further Academic Progression:
After your MSc, you could continue your studies with a PhD in data science, finance, or business analytics, or pursue professional qualifications like CFA or FRM. These pathways help you deepen your expertise, open doors to research or consultancy roles, and position you for leadership opportunities in global financial and tech sectors.