Accounting and Data Analytics

Program Overview

---

Accounting and Data Analytics MSc

Overview

The digitalisation of accounting and financial management in modern business means that professionals with the skills and aptitude to identify, analyse and use vast amounts of financial data are in high demand.

On this Accounting and Data Analytics Master's degree, you'll build a proficiency in accounting, expanding your knowledge of accounting and analytical software, report writing, and data and critical analysis. You'll get the confidence and skill to use the findings from the data you analyse to make strategic business decisions.

You'll graduate with a flexible and sought after skill set, opening the door to jobs in banking, accounting and the financial sector, as well as more specific roles like forensic accounting.

Accreditation

ACCA

The Chartered Institution of Management Accountants

Accredited by:

This course is accredited by the Association of Chartered Certified Accountants (ACCA) and the Chartered Institute of Management Accounting (CIMA).

The University of Portsmouth has earned business accreditation from the AACSB in recognition of the outstanding quality of its business and management education. Less than six percent of the world's schools offering business degree programs hold AACSB business accreditation.

Key Information

Accreditation:

This course is Accredited

Study mode and duration:

• 1 year full-time
• 30 months part-time

Start date:

• September 2025

Course Information

Overview

The digitalisation of accounting and financial management in modern business means that professionals with the skills and aptitude to identify, analyse and use vast amounts of financial data are in high demand.

On this Accounting and Data Analytics Master's degree, you'll build a proficiency in accounting, expanding your knowledge of accounting and analytical software, report writing, and data and critical analysis. You'll get the confidence and skill to use the findings from the data you analyse to make strategic business decisions.

You'll graduate with a flexible and sought after skill set, opening the door to jobs in banking, accounting and the financial sector, as well as more specific roles like forensic accounting.

Entry Requirements

• A second-class honours degree or equivalent professional experience and/or qualifications.
• English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Course Costs and Funding

Tuition Fees (September 2025 start)

• UK/Channel Islands and Isle of Man students:
  • Full-time: £12,600
  • Part-time: £4,200 a year (3 years – may be subject to annual increase)
• EU students (including Transition Scholarship):
  • Full-time: £12,600
  • Part-time: £4,200 a year (3 years – may be subject to annual increase)
• International students:
  • Full-time: £19,200
  • Part-time: £6,400 a year (3 years – may be subject to annual increase)

What You'll Experience

• Combine big data theory, business acumen and communication ability into a sought after skill set
• Improve your financial analysis and data visualisation skills
• Learn how to prepare and analyse accounts
• Get experience with analytical software
• Learn how to effectively analyse financial data to achieve certain goals, such as internal auditing
• Access the same data, analytics and software used by city traders in our Bloomberg Suite
• Study alongside students from our MSc Forensic Accounting and MSc Accounting and Finance courses, so you'll experience other areas of accounting and get a better idea of what to expect in the workplace
• Develop transferable skills such as business acumen, professional ethics, critical analysis, report writing, communication skills and data analysis
• Be able to attend guest lectures, which illustrate how you can apply the knowledge and skill you learn in industry
• Study modules that accelerate the path to membership of accounting professional bodies after the course

Modules

Each module on this course is worth 15 credits. You'll need to study modules worth a total of 180 credits.

Core Modules

• Aef Research Methods and Dissertation - 45 credits
• Database Design and Implementation - 15 credits
• Financial Accounting - 15 credits
• Financial Analysis - 15 credits
• Statistics and Data Modelling I - 15 credits
• Corporate Governance and Ethics - 15 credits
• Data Analysis and Visualisation - 15 credits
• Strategic Management Accounting - 15 credits

Optional Modules

• Corporate Finance - 15 credits
• Fraud Examination and Forensic Investigations - 15 credits
• Corporate Valuation - 15 credits
• Valuations and the Expert Report - 15 credits

How You'll Spend Your Time

We recommend you spend at least 40 hours a week (full time) or 20 hours a week (part time) studying for your Accounting and Data Analytics Master's degree.

You’ll be in timetabled teaching activities such as lectures and seminars for around 15 hours a week (full time) or 5 hours a week (part time). You'll spend the rest of the time studying independently, completing tasks such as researching, reading, working on coursework and project work, alone or in a group with others from your course.

Career Development

When you finish this Accounting and Data Analytics Master's course, our Careers and Employability service can help you find a job that puts your skills to work in the industry.

What Can You Do with an Accounting and Data Analytics Master's Degree?

Areas that you could go on to work in include:

• Accounting
• Banking
• Financial sector businesses
• Internal and external auditing
• Forensic technology
• Professional services

What Jobs Can You Do with an Accounting and Data Analytics Master's Degree?

Roles you could go onto include:

• Management accountant
• Financial accountant
• External auditor
• Internal auditor
• Financial analyst
• Consultant

Supporting You

You'll get face-to-face support from teaching and support staff when you need it. These include the following people and services:

• Personal tutor
• Student engagement officers
• Study support tutors
• Academic skills support
• Library support

Apply

• Full-time study (1 year)
• Part-time study (30 months)