BSc Hons Business and Data Science with Foundation

4 Years On Campus Bachelors Program

Regents University London

Program Overview

The BA (Hons) Business and Data Science with Foundation at Regent's University London is designed for students who want to build a strong academic foundation before developing specialist expertise in business, data analytics, and emerging technologies. The integrated Foundation Year prepares students for degree-level study, while the subsequent programme equips them with practical skills in data science, artificial intelligence, business strategy, and digital decision-making to solve real-world organisational challenges.

Curriculum Structure

Foundation Year

The Foundation Year helps students develop the academic confidence and transferable skills needed for university study by strengthening critical thinking, research, communication, quantitative skills, and digital literacy. Students are introduced to key business concepts while improving academic writing and analytical techniques, creating a smooth transition into the specialist Business and Data Science degree.

Year 1

Students build a solid understanding of business and data analytics through modules including Organisational Culture and Reputation, Money, Finance and Decisions, and Data Informed Decision Making. They also study Markets and Legal Frameworks, Learning Perspectives, and Exploring Industry and Entrepreneurship, developing essential analytical, business, and professional skills while learning how organisations use data to make informed decisions.

Year 2

The second year develops practical technical expertise through modules such as Data Science Tools and Techniques, Coding, and Sustainable Operations. Students learn to work with Power BI, SPSS, machine learning tools, and programming techniques while applying descriptive and predictive analytics to solve complex business problems. They also gain practical experience through an Industry Challenge, Entrepreneurial Challenge, Placement, or Study Abroad opportunity.

Year 3

In the final year, students explore advanced topics through Disruptive Strategies and Models, Contemporary Approaches to Data Science, and the two-part Major Project. They investigate emerging technologies such as artificial intelligence and blockchain, apply advanced analytical techniques to real-world business issues, and complete an independent project aligned with their professional interests and career ambitions.

Focus Areas (String)

Business analytics, Data science, Artificial intelligence, Machine learning, Business intelligence, Data visualisation, Coding, Predictive analytics, Business strategy, Digital transformation, Sustainable operations, Financial decision-making, Entrepreneurship, Data management

Learning Outcomes (String)

Develop strong academic and analytical skills, Apply business and data science principles to organisational challenges, Analyse and interpret complex datasets, Use Python, Power BI and SPSS for business analytics, Build predictive models using machine learning techniques, Develop coding and data visualisation skills, Evaluate strategic business decisions using data, Communicate analytical findings effectively, Conduct independent research, Prepare for careers in business and data science

Professional Alignment (Accreditation)

The programme is delivered through Regent's Business School, which is a member of the Chartered Association of Business Schools (CABS), the Association to Advance Collegiate Schools of Business (AACSB), the Business Graduate Association (BGA), and the Association for Project Management (APM), reflecting internationally recognised standards in business education.

Reputation (Employability Rankings)

Students benefit from an industry-focused curriculum featuring live business projects, hackathons, placements, guest speakers, and study abroad opportunities. The programme also provides a direct progression pathway to Regent's MSc Data Science in Business, while practical training in Python, Power BI, SPSS, SAS JMP, and machine learning tools prepares graduates for high-demand careers in business analytics, digital transformation, and data science.

Experiential Learning (Research, Projects, Internships etc.)

The BA (Hons) Business and Data Science with Foundation combines academic preparation with practical, technology-driven learning, enabling students to build confidence before progressing to advanced business and data science studies. From the Foundation Year onwards, students work with industry-standard analytics software, coding platforms, and real-world business datasets while developing practical skills through collaborative projects, business challenges, and employer-focused activities. Throughout the programme, students also benefit from Regent's central London location, optional placements, international study opportunities, and direct engagement with business and technology professionals. Practical learning opportunities include:

Foundation Year focused on developing academic writing, quantitative skills, critical thinking, digital literacy, research methods, and effective communication to prepare students for degree-level business and data science study.
Practical training using industry-standard software including Python, Power BI, SPSS, SAS JMP, and Microsoft Excel for business intelligence, statistical analysis, predictive modelling, and data visualisation.
Coding workshops where students develop programming skills and apply computational methods to analyse and solve business challenges.
Industry Challenge module, allowing students to collaborate on live business projects and present data-driven recommendations to real organisations.
Enterprise Challenge, where students work in multidisciplinary teams to develop innovative, data-informed business solutions and entrepreneurial ventures.
Optional professional placement, enabling students to gain valuable workplace experience in business, consulting, finance, or technology organisations.
Study Abroad opportunity through Regent's international partner universities, providing exposure to global business environments and international data-driven practices.
Collaborative group projects, case studies, presentations, business simulations, and hackathons that strengthen teamwork, communication, analytical thinking, and leadership skills.
Applied learning using machine learning, predictive analytics, artificial intelligence, and business intelligence techniques with real-world datasets and industry case studies.
Independent Major Project, where students investigate a contemporary business or data science challenge using advanced analytical, research, and technical methods.
Access to the Regent's University Library, offering specialist business, computing, analytics, and data science books, academic journals, digital databases, and online research resources.
Modern technology-enabled classrooms, collaborative learning spaces, and computer facilities designed to support coding, analytics, workshops, and project-based learning.
Regular opportunities to engage with industry professionals, guest speakers, employer networking events, and London's thriving business and technology ecosystem through Regent's Careers, Enterprise and Industry team.

Progression & Future Opportunities

Graduates of the BA (Hons) Business and Data Science with Foundation develop a unique combination of business strategy, data analytics, coding, and artificial intelligence skills that are increasingly valued across global industries. The integrated Foundation Year builds academic confidence and essential study skills before students progress to advanced data science and business modules, preparing them for careers such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Business Consultant. The programme's practical, industry-focused approach ensures graduates are ready to solve complex business challenges using data-driven decision-making:

Dedicated Careers, Enterprise and Industry Services: Students receive personalised career coaching, CV and LinkedIn support, interview preparation, employer networking events, enterprise mentoring, and access to the Handshake careers platform for internships, placements, graduate roles, and employer engagement. Career specialists also support students in exploring industry sectors and planning their professional development throughout the programme.
Employment statistics and salary: As this is a relatively new programme, course-specific graduate outcomes are not yet available. However, Discover Uni reports that 75% of Regent's Business and Management graduates were in employment and/or further study 15 months after graduation, with median earnings of approximately £31,000 three years after graduation, increasing to around £43,500 after five years.
University–industry partnerships: Students work on Industry Challenge projects based on live business scenarios, complete optional placements, participate in Entrepreneurial Challenge modules, and can study abroad at 60+ partner universities across more than 20 countries. The curriculum also includes hackathons, industry projects, guest speakers, and opportunities to engage with London's business and technology ecosystem.
Long-term accreditation value: The programme is delivered by Regent's Business School, which is a member of the Chartered Association of Business Schools (CABS), the Association to Advance Collegiate Schools of Business (AACSB), the Business Graduate Association (BGA), and the Association for Project Management (APM), reflecting internationally recognised standards in business education.
Graduation outcomes: Graduates leave with practical expertise in Python, Power BI, SPSS, SAS JMP, Microsoft Excel, machine learning, predictive analytics, coding, and business intelligence, making them well suited for careers in technology, consulting, finance, digital transformation, and data-driven management. Students with entrepreneurial ambitions may also continue developing their business ideas through Regent's Founders Programme, which offers coaching, mentoring, bootcamps, and networking opportunities.

Further Academic Progression:

After completing this programme, graduates can progress to Regent's MSc Data Science in Business or pursue postgraduate degrees such as MSc Business Analytics, MSc Data Science, MSc Artificial Intelligence, MSc International Business, MSc Finance, or an MBA. The programme also provides a strong foundation for professional certifications in business analytics, data science, cloud technologies, artificial intelligence, and business intelligence, supporting long-term career development in technology, consulting, finance, and digital leadership