BSc Hons Business and Data Science

3 Years On Campus Bachelors Program

Regents University London

Program Overview

The BA (Hons) Business and Data Science at Regent's University London is designed for students who want to combine business expertise with cutting-edge data science skills to solve real-world organisational challenges. Through hands-on projects, analytics, coding, artificial intelligence, and business strategy, students learn how to transform complex data into meaningful insights that drive smarter business decisions across a wide range of industries.

Curriculum Structure

Year 1

In the first year, students establish a strong foundation in business and data analytics through modules including Organisational Culture and Reputation, Money, Finance and Decisions, and Markets and Legal Frameworks. They also develop practical analytical skills in Data Informed Decision Making, learning data collection, management, visualisation, and business intelligence while strengthening academic skills through Learning Perspectives and Exploring Industry and Entrepreneurship.

Year 2

The second year develops technical and analytical expertise through modules such as Sustainable Operations, Data Science Tools and Techniques, and Coding. Students gain practical experience using Power BI, SPSS, and machine learning tools while learning descriptive and predictive analytics, coding principles, and sustainable business operations that support data-driven decision-making.

Year 3

In the final year, students integrate advanced business and data science knowledge through specialist modules, applied projects, and independent research that address contemporary industry challenges. They deepen their expertise in business analytics, artificial intelligence, predictive modelling, and strategic decision-making while completing industry-focused projects that prepare them for professional roles in business intelligence, analytics, and digital transformation.

Focus Areas

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

Learning Outcomes

Analyse and interpret complex business data, Apply descriptive and predictive analytics, Develop coding and data visualisation skills, Use business intelligence tools for decision-making, Build predictive models using machine learning techniques, Evaluate organisational performance using data, Solve business challenges through analytical thinking, Communicate data insights effectively, Apply ethical and sustainable business practices, 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), demonstrating its commitment to internationally recognised standards in business education.

Reputation (Employability Rankings)

Students benefit from Regent's industry-focused curriculum featuring live projects, hackathons, guest speakers, industry placements, and study abroad opportunities. The programme also provides a direct progression route to the MSc Data Science in Business, while students gain experience with industry-standard technologies including Excel, Power BI, Python, SAS JMP, and SPSS, preparing them for high-demand careers in business analytics and data science.

Experiential Learning (Research, Projects, Internships etc.)

The BA (Hons) Business and Data Science is designed around practical, industry-led learning that enables students to apply data science techniques to real business challenges. Throughout the programme, students work with industry-standard analytics software, coding tools, and live business datasets while collaborating on projects that reflect the demands of today's data-driven organisations. Students also benefit from industry engagement, optional placements, international study opportunities, and Regent's central London location, providing direct access to leading businesses and technology networks. Practical learning opportunities include:

Hands-on training with Power BI, Python, SPSS, SAS JMP, and Microsoft Excel for data analysis, business intelligence, predictive modelling, and data visualisation.
Practical coding workshops where students develop programming skills and apply data science techniques to solve real business problems.
Industry Challenge module, allowing students to work on live business projects and present data-driven solutions to real organisational challenges.
Enterprise Challenge, where students collaborate in teams to develop innovative business ideas using data analytics and entrepreneurial thinking.
Optional professional placement that provides workplace experience within business, technology, or analytics-focused organisations.
Study Abroad opportunity through Regent's global partner universities, enabling students to gain international business and data science experience.
Collaborative group projects, business case studies, presentations, and data-driven consulting assignments that strengthen teamwork, communication, and leadership skills.
Applied learning in machine learning, predictive analytics, business intelligence, and data visualisation, using real-world datasets and business scenarios.
Final-year Major Project, where students undertake independent research to address a contemporary business or data science challenge using analytical and technical methods.
Access to the Regent's University Library, providing specialist business, data science, computing, and analytics books, academic journals, digital databases, and online research resources.
Modern technology-enabled classrooms, collaborative learning spaces, and computer facilities that support coding, analytics, workshops, and project-based learning.
Regular interaction with industry professionals, guest speakers, employer networking events, and London's thriving business and technology sectors through Regent's Careers, Enterprise and Industry team.

Progression & Future Opportunities

Graduates of the BA (Hons) Business and Data Science are equipped with a unique blend of business strategy, data analytics, artificial intelligence, and technical skills that are increasingly sought after across global industries. By combining practical experience with industry-focused learning, graduates are prepared to pursue careers such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Business Consultant, helping organisations turn complex data into strategic business decisions:

Dedicated Careers, Enterprise and Industry Services: Students receive personalised career coaching, CV and LinkedIn reviews, interview preparation, employer networking opportunities, enterprise mentoring, and access to the Handshake careers platform for internships, placements, graduate jobs, and employer events.
Employment statistics and salary: As this is a new programme, course-specific graduate outcomes are not yet available. However, Discover Uni reports that 75% of Regent's Business and Management graduates are in work and/or further study 15 months after graduation. Business Studies graduates also report median earnings of approximately £31,000 three years after graduation, rising to around £43,500 after five years.
University–industry partnerships: Students participate in live industry projects, business challenges, and hackathons, while benefiting from industry placements, guest speakers, company visits, and Regent's central London location, which provides access to leading businesses, technology companies, and professional networking opportunities.
Long-term accreditation value: The programme is delivered through Regent's Business School, 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, Excel, business intelligence, machine learning, and predictive analytics, preparing them for careers in consulting, finance, technology, digital transformation, and data-driven business leadership.

Further Academic Progression:

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