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Finance and Investment

Course details
  • 2 Study options
  • Undergraduate
Course location
Leicester Campus

Course summary

The Finance and Investment BSc course at DMU provides a rigorous academic approach to finance with a focus on practical skills and employability. Students will be equipped with the advanced technical skillset, knowledge, and professional attitude necessary to excel in a career in the financial sector. The course is a member of the Chartered Financial Analysts (CFA) Affiliation Program and our curriculum well-prepares students to sit the CFA examinations to obtain one of the most reputable professional qualifications in the finance and investment industry.

On this course, you will develop a comprehensive understanding of finance through exploration of the connected disciplines of accounting and economics. This programme is ideal for those interested in a mathematical approach, where strong emphasis is placed on quantitative data. The use of important industry-standard commercial databases and software, such as Bloomberg, Thomson Reuters Eikon, Matlab, and Python, are integrated into teaching to bridge the theoretical and practical aspects of finance.

Innovative modules will introduce you to new methodologies – such as Artificial Intelligence and Financial Applications, where you will gain hands-on experience of using, evaluating, and even developing your own AI applications, to solve real-life problems.

Our Trading Floor will give you a simulated experience on industry-standard software that is used by decision-makers in practice. The programme is also structured to address many of the competence requirements of professional finance bodies.

Key features

  • Be equipped with an advanced technical skillset and professional attitudes to develop your career in finance and investment.

  • Benefit from broad module content covering topics in finance, accounting, and economics.

  • Experience a ‘state-of-the-art’ module Artificial Intelligence and Financial Applications, which will introduce you to the new methodology revolution. You will have hands-on experience of using and evaluating AI applications, as well as developing your own applications to solve real-life problems.

  • Study a programme which is structured to address many of the competency requirements of professional Finance bodies. We are proud to be a member of the CFA Affiliation Program.

  • As a member of the CFA Affiliation Program, we can award the CFA Program Awareness Scholarships to a number of our top-performing students every year.

  • Gain practical experience and essential employability skills with the modern trading floor equipped with industry-standard databases, including Bloomberg, LSEG Workspace, FAME, FT.COM, among others.

  • Benefit from block teaching, where most students study one subject at a time. A simple timetable will allow you to really engage with your learning, receive regular feedback and assessments, get to know your course mates and enjoy a better study-life balance.

How to apply

Application codes

Course code:
N301
Institution code:
D26

This course may be available at alternative locations, please check if other course options are available.

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Entry requirements

There are no specific entry requirements for this course.

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

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