University of Texas

USA
3 Scholarships 118 Programs 3 Degree levels

An interdisciplinary Master’s that combines advanced accounting principles with computer science techniques, designed for graduates who want to apply data science, software and systems thinking to accounting, auditing and financial analytics. It suits candidates aiming for technical roles in finance, audit technology, fintech or accounting information systems who want both domain knowledge and hands-on computing skills.

What you'll study

This programme blends core accounting topics with computer science subjects to equip you with skills in financial reporting, audit and regulatory practice alongside software development, data engineering and machine learning. Teaching typically covers a mix of core modules, electives and a practical capstone or project that applies computing techniques to real accounting problems.

  • Core accounting topics: financial accounting and reporting, managerial accounting, auditing and assurance, taxation fundamentals, and accounting information systems.
  • Core computing topics: programming and software engineering, databases and data management, algorithms and data structures, and systems design.
  • Analytical and specialised modules: data analytics for accounting, machine learning for finance, financial modelling, business intelligence and data visualisation, blockchain and distributed ledger applications in accounting, and cybersecurity for financial systems.
  • Practical elements: capstone project or practicum with industry datasets or partner organisations, group software development projects, and opportunities for internships with accounting firms, financial institutions or technology companies.
  • Assessment methods: a mix of coursework, project deliverables, presentations and examinations; the capstone typically culminates in a technical report and demonstration of a working prototype or analysis.

Entry requirements

Applicants should hold a recognised bachelor's degree. Typical offers expect a strong academic record in any discipline; degrees with quantitative content (business, economics, mathematics, engineering, computing) are advantageous. Specific requirements commonly include:

  • Undergraduate transcripts demonstrating solid academic performance; a transcript showing preparation in quantitative coursework will strengthen an application.
  • Evidence of programming competence (for example, coursework in programming, a portfolio of projects, or completion of a coding bootcamp). Some applicants without formal computing background may be admitted but will be required to take bridging modules.
  • Prior exposure to basic accounting or finance is recommended; applicants without this may be asked to complete introductory accounting modules before advanced accounting courses.
  • Supporting documents: CV, personal statement outlining motivation and relevant experience, and academic or professional references.
  • Where applicable, proof of English language proficiency for international applicants (such as IELTS or TOEFL) and any other documents required by the university’s graduate admissions office.

Career prospects

Graduates are prepared for roles that sit at the intersection of finance and technology. Common career paths include roles in accounting firms, financial services, technology companies and consulting firms. Examples of positions graduates take up:

  • Accounting data analyst or financial data scientist — building models, automating reporting and deriving insights from financial data.
  • Audit technology specialist or forensic accountant — applying analytics and software tools to improve audit quality and detect anomalies.
  • Accounting systems analyst or ERP consultant — designing, implementing and optimising accounting information systems and integrations.
  • Fintech developer or product manager — working on payments, reconciliation, regulatory technology (RegTech) or blockchain-enabled financial services.
  • Risk and compliance analyst — using computational methods to monitor, model and report on regulatory and financial risk.

Why study at University of Texas

The University of Texas offers access to strong schools in both business and computer science, with experienced faculty conducting applied research in financial technology, security and analytics. Students benefit from close industry links in a major technology hub, extensive career services and networking opportunities with accounting firms, financial institutions and startup communities. The university’s resources — including practicum placements, research centres and student organisations — support interdisciplinary learning and help graduates transition into technical and leadership roles across accounting and finance.

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Programme details are indicative and may change — always verify current information with the official university website before applying.