Richmond American University London
Business and Data Analytics BSc (Hons)
London, United Kingdom
BA
DURATION
4 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
GBP 17,500 *
STUDY FORMAT
On-Campus
* EU, international & United States | UK full time: £9,250
Key Summary
In today’s digital age, big data drives business innovation and decision-making. As technology continues to advance, the demand for professionals who can harness the power of data has never been greater.
Our BA (Hons) Business & Data Analytics programme at Richmond American University London is designed to equip you with the skills and knowledge needed to thrive in this dynamic field.
With this degree programme, through highly topical subjects such as Artificial Intelligence and Data Mining, you can gain the knowledge and skills you need to excel in a range of business settings, studying both the latest academic research and industry trends in this dynamic field. By the time you graduate, you will be able to influence and make informed, data-driven business decisions, gaining highly versatile skills which are relevant for any industry.
As with all Richmond programmes, you’ll earn both a UK and US degree, enhancing your global career prospects.
Tuition fee reduction
- Liberal Arts Academic Excellence Award: £2,500 per year equivalent to ABB/GPA 3.5+ (explore list of grade equivalents)
- English Language Award: £2,500 per year equivalent to 6.0 IELTS 6.0 in all elements
(Students can only be awarded one scholarship)
Bursaries: UK and US students only
Cyril Taylor cash bursary
- £4,000 of cash bursaries throughout your degree
- £1,000 cash bursary per year
Number of awards: 15 UK and 12 US
For more information on the terms and conditions visit our Tuition Fees & Funding webpage.
Year 1 (Level 3)
Modules
- English for Academic Purposes
- Tools for Change
- Research and Writing
Based on your major, choose one or two from:
- Pre-Calculus
- Fundamentals of Computing
- Fundamentals of Business
- Foundations of Sociology
Choose one or two from:
- Endangered Species and Conservation
- History of London
- Foundations of Media and the Arts
Year 2 (Level 4)
Core Modules
- Business Management and Marketing
- Introduction to Managerial Accounting
- Calculus for Business and Economics
- Research and Writing
Choose one course from Arts and Humanities:
- Introduction to Advertising, PR and Media
- Introduction to Intercultural Communication
Choose one course from Social and Behavioral Sciences:
- Introduction to Economics
- Modern Political Thought
- Introduction to International Relations
- Introduction to Psychology
- The Business of Fashion
Choose one course from Data/Numeracy:
- Probability & Statistics
- Data Analysis (for non-MTH majors)
Choose one course from Science:
- Introduction to Programming
- Mathematics of Argument and Reason
- Environmental Science and Society
Year 3 (Level 5)
Core Modules
- Governance and Sustainability
- Organisational Behaviour and Ethics
- Linear Algebra and Multivariable Calculus
- Data Analysis and Visualisation
- Research Methods
Choose one course from Service Learning:
- Digital Collaboration
- Leadership in a Changing World
- Environment and Society
- Global Citizenship and Migration
Plus
- Choose two level 5 electives from across the curriculum, outside of your subject discipline
Year 4 (Level 6)
Core Modules
- Machine Learning and Predictive Analytics
- Sustainable Strategic Management
- Project Management
- Senior Project
Choose a level 6 Internship or Choose two level 6 courses from:
- List choice from L6 Elective
- List choice from L6 Elective
- List choice from L6 Elective
- List choice from L6 Elective
Plus
- Choose one level 6 elective from across the curriculum, outside of your subject discipline
- Gain a broad and in-depth understanding of all aspects of business management raging from Finance to Corporate Strategic Management
- Studying the pathway in data analytics will enable you to harness new, powerful tools using skills that are in great demand across the business world
- Option to add a minor to your Data Analytics pathway in a related subject area, enhancing your employability
- Benefit from practical working experience through an accredited internship in London or worldwide with leading business organisation
- Ease of access to both academics and industry practitioners in Data Analytics creates inspirational and supportive education
- Truly international environment at Richmond and US and UK degree helps access to leading graduate schools in the UK and the USA
Below is a list of where some of the graduates of this programme have gone on to work.
- Ernst and Young
- PwC
- Credit Suisse Private Banking
- Freshfields Bruckhaus Derringer LLP
- Goldman Sachs
- Kuwait Investment Authority
Teaching
The course load at level 3 or first year is 24 US credits, equivalent to 96 UK credits. Students will then complete 32 US credits, equivalent to 128 UK credits per academic year.
Approximately 12 hours per week are in class attendance, and 4 hours are guided learning. The guided learning component could include discussion boards, guest lectures, field trips, asynchronous learning, or similar activities.
Teaching mainly takes place in small classes. Our seminar-style teaching, characterised by interactive discussions and active participation, gives the students an opportunity to engage deeply with the material and their peers. The intimate setting allows for personalised attention from professors, enhancing comprehension and retention. Guest lectures enrich the experience by providing diverse perspectives and reinforcing knowledge through practical applications such as quizzes, discussions and debates. This approach supports academic success and cultivates critical thinking and communication skills, preparing students for future challenges.
Assessment
The balance of assessment by examination, practical assessment and assessment by coursework will vary for each programme and will also depend on the optional electives you choose each year and may be subject to change. The assessment methods can involve term papers, portfolios of work, quizzes, mid-semester and final exams, student presentations and general class discussion. Not every component applies to every course, but most do relate to many of the classes that are offered. Many of our courses involve a site visit or require attendance at a public lecture as well.


