University of Strathclyde

What you'll study

The programme blends accounting and finance modules with applied data analytics and computing. You will study advanced financial reporting and management accounting principles alongside corporate finance, financial markets and risk. Data-focused modules cover statistical modelling, econometrics, machine learning for finance, data management and visualisation, and programming for data analysis using languages and tools commonly used in industry.

Teaching is typically delivered through lectures, seminars, computer labs and applied workshops, with assessed work including problem sets, case studies, group projects and individual assignments. The degree culminates in a substantial dissertation or industry-focused project where you apply analytical techniques to a real dataset or business problem, demonstrating practical competence in both accounting/finance and data analytics.

• Core accounting and finance: financial reporting, management accounting, corporate finance, financial institutions and markets
• Quantitative and analytical methods: econometrics, forecasting, risk analytics
• Data analytics and computing: programming for data analysis (e.g. Python/R), databases and SQL, data visualisation, machine learning for finance
• Research project or dissertation applying analytics to an accounting/finance problem
• Optional modules or industry project options to tailor the programme towards fintech, audit analytics, or business intelligence

Entry requirements

Applicants normally need an honours degree in accounting, finance, economics, mathematics, statistics, computer science or a related discipline. An upper second-class (2:1) honours degree or equivalent is commonly expected; applicants with a lower-class degree and substantial relevant work experience or professional qualifications (such as ACCA, CIMA or equivalent) may also be considered.

All applicants whose first language is not English must demonstrate proficiency in English. Practical numerical and IT skills are important; some prior exposure to statistics, spreadsheets and basic programming or data analysis is advantageous. Applications are reviewed on an individual basis and selection may include assessment of academic transcripts, references and a personal statement outlining your motivations and relevant experience.

Career prospects

Graduates leave prepared for roles that bridge accounting/finance and data analytics. Typical positions include financial analyst, management accountant with analytics responsibility, data analyst in finance or audit, risk analyst, business intelligence analyst, credit analyst, and roles within fintech and consulting firms. The combination of technical analytics skills and accounting/finance knowledge also supports progression towards professional accounting qualifications and specialist roles in audit analytics, regulatory reporting and algorithmic risk assessment.

Alumni go on to work across industry, financial services, consultancy and the public sector, and some choose to continue to research degrees. The programme’s applied project options and industry links help students build a professional portfolio and connections with employers.

Why study at University of Strathclyde

Strathclyde Business School has a long history of teaching in accounting and finance and strong links with professional bodies and employers in Glasgow and beyond. The university combines business faculty expertise with computing and data science resources, enabling interdisciplinary teaching that reflects current industry practice.

Students benefit from research-active staff, practical lab facilities and opportunities for industry projects and guest lectures from practitioners. The university’s careers and employability services, employer engagement programmes and professional networks help students access internships, project partners and graduate vacancies. Studying at Strathclyde offers a practical, career-focused route to develop the technical and domain knowledge needed for analytically demanding roles in accounting and finance.