MSc Data Science in Business

1 Year On Campus Masters Program

Regents University London

Program Overview

The MSc Data Science in Business at Regent's University London prepares students to transform complex data into strategic business insights by combining technical data science skills with business analytics, artificial intelligence, and decision-making. Designed for graduates and professionals seeking careers in data-driven organisations, the programme develops expertise in coding, machine learning, business intelligence, and data visualisation to solve real-world business challenges across industries. Please note that this course is currently undergoing revalidation, and while its overall focus remains the same, some modules may change for future intakes.

Curriculum Structure

Term 1

Students establish a strong foundation in business analytics through modules including Data Visualisation and Storytelling, Business Analytics, and Tools for Data Analysis. They learn to collect, prepare, analyse, and visualise data using industry-standard technologies while exploring business intelligence, consumer insights, and decision-making through tools such as Python, R, Power BI, Excel/VBA, and SAS.

Term 2

The second term develops advanced technical and analytical expertise through Data Analytics, Machine Learning and AI for Business, and Coding. Students explore predictive analytics, artificial intelligence, machine learning algorithms, programming, and data modelling while applying these techniques to solve complex business problems and improve organisational performance.

Term 3

In the final term, students apply their knowledge through either a Professional Placement, Capstone Consultancy Project, or Capstone Dissertation. Working independently or with industry partners, they investigate real business challenges, apply advanced analytical techniques, and deliver data-driven solutions that demonstrate professional competence and strategic decision-making.

Focus Areas (String)

Business analytics, Data science, Machine learning, Artificial intelligence, Data visualisation, Business intelligence, Predictive analytics, Coding, Python, R programming, Power BI, Consumer intelligence, Business strategy, Data-driven decision making

Learning Outcomes (String)

Apply data science techniques to business challenges, Analyse and interpret complex datasets, Develop machine learning solutions, Create data visualisations and dashboards, Apply business analytics for strategic decision-making, Use Python, R, Power BI and SAS for data analysis, Communicate analytical insights effectively, Solve business problems using AI and predictive analytics, Conduct independent applied research, Prepare for leadership roles in data-driven organisations

Professional Alignment (Accreditation)

The programme combines technical data science with practical business applications through consultancy projects, professional placements, and industry-focused learning. Students gain experience using widely adopted analytics tools including Python, R, Power BI, Excel/VBA, and SAS, preparing them for careers in business analytics, digital transformation, artificial intelligence, and data strategy across a wide range of industries.

Reputation (Employability Rankings)

Located in central London, Regent's offers students access to one of Europe's leading business and technology ecosystems, creating opportunities to engage with multinational companies, innovative start-ups, and consultancy firms. Through practical projects, small class sizes, and strong industry connections, students develop the technical expertise and commercial awareness required for careers in data science, analytics, and business innovation.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science in Business combines advanced technical training with practical business applications, enabling students to solve real organisational challenges using data, artificial intelligence, and analytics. Throughout this one-year programme, students work on live industry briefs, business simulations, consultancy projects, and hands-on data analysis using industry-standard technologies. Based in central London, students also benefit from direct access to global businesses, technology firms, start-ups, and innovation hubs, gaining valuable professional experience and industry connections.

Work on live business briefs commissioned and evaluated by real companies, applying data science, artificial intelligence, and business analytics to solve genuine organisational challenges while presenting practical, evidence-based solutions.
Gain practical experience through a choice of Professional Placement, Consultancy Project, or Dissertation in the final term, enabling you to work alongside industry partners, build professional networks, and apply advanced analytical techniques to real business problems.
Develop hands-on technical expertise using Python, R, SQL, Excel/VBA, Power BI, Tableau, and SAS to analyse large datasets, build predictive models, create interactive dashboards, and support strategic business decision-making.
Participate in business bootcamps, simulations, workshops, and creative labs, strengthening problem-solving, leadership, teamwork, and commercial decision-making skills through practical learning.
Learn through hands-on classes and real-world case studies, exploring topics including machine learning, artificial intelligence, consumer intelligence, business analytics, data visualisation, and business strategy.
Attend masterclasses and guest lectures delivered by business leaders, entrepreneurs, data scientists, and technology professionals, gaining insights into current industry trends and emerging technologies.
Benefit from Regent's Luxury Lab, collaborating with luxury brands to analyse consumer data, understand customer behaviour, and develop data-driven business solutions for premium markets.
Participate in networking events, conferences, and employer engagement activities, connecting with professionals from London's business and technology sectors while expanding your industry network.
Visit London's business and technology hubs, including Silicon Roundabout, gaining first-hand insight into innovation, digital transformation, entrepreneurship, and the UK's technology ecosystem.
Complete collaborative group projects, consultancy assignments, presentations, and data-driven business analyses, developing communication, leadership, and stakeholder management skills alongside technical expertise.
Personalise your learning through elective modules and one-to-one academic guidance, allowing you to tailor your studies to career interests in analytics, AI, business intelligence, or digital transformation.
Learn from research-active academics and industry experts with experience working for organisations including Meta, Microsoft, and Coca-Cola, ensuring teaching reflects current business practices and technological developments.
Access the Regent's University Library, providing specialist books, business databases, academic journals, market intelligence resources, and digital research tools to support consultancy projects and independent research.
Study in modern technology-enabled classrooms, collaborative learning spaces, and innovation-focused teaching environments designed to support coding, analytics, workshops, presentations, and project-based learning.
Receive personalised support from Careers, Enterprise and Industry Services, including career coaching, CV and LinkedIn reviews, employer networking, internship guidance, enterprise mentoring, and access to professional opportunities across business, analytics, AI, and technology sectors.

Progression & Future Opportunities

Graduates of the MSc Data Science in Business develop advanced analytical, technical, and strategic skills that prepare them to transform data into business intelligence and drive organisational decision-making. Combining expertise in machine learning, artificial intelligence, business analytics, and data visualisation with real-world consultancy experience, the programme prepares graduates for roles such as Data Scientist, Business Intelligence Analyst, Data Analyst, and Business Analytics Consultant across a wide range of industries.

Dedicated Careers, Enterprise and Industry Services: Students receive personalised career coaching, CV and LinkedIn reviews, interview preparation, employer networking, enterprise mentoring, and access to the Handshake careers platform. Throughout the programme, students enhance their employability through live business briefs, professional networking events, and a choice of Professional Placement, Capstone Consultancy Project, or Capstone Dissertation, enabling them to build practical industry experience before graduation.
Employment outcomes: While Regent's does not publish programme-specific salary figures, graduates are prepared for careers in data science, business analytics, business intelligence, artificial intelligence, machine learning, digital transformation, marketing analytics, financial analytics, operations analytics, consulting, and technology management. The programme equips students with the technical and commercial expertise required by data-driven organisations worldwide.
University–industry partnerships: Students work on live consultancy projects with real businesses, collaborate with industry partners through practical business briefs, attend guest lectures and masterclasses from data and technology professionals, and gain practical experience through an optional Professional Placement or Capstone Consultancy Project. Regent's central London location also provides direct access to multinational companies, technology firms, financial institutions, and innovative start-ups.
Long-term professional value: Graduates leave with advanced expertise in Python, R, SQL, Power BI, SAS, machine learning, artificial intelligence, predictive analytics, business intelligence, data visualisation, and strategic decision-making. They also develop consultancy, leadership, communication, and problem-solving skills that support progression into senior analytical and management roles.
Graduation outcomes: Graduates pursue careers as Data Scientists, Business Intelligence Analysts, Business Analysts, Machine Learning Analysts, Data Engineers, Analytics Consultants, Marketing Analysts, Financial Analysts, Chief Data Officers, and Digital Transformation Consultants across sectors including finance, healthcare, retail, technology, consulting, government, and multinational organisations.

Further Academic Progression:

After completing this programme, graduates can progress to doctoral research (PhD) in Data Science, Business Analytics, Artificial Intelligence, Information Systems, or related fields. The programme also provides a strong foundation for advanced professional certifications in analytics, cloud computing, artificial intelligence, and business intelligence, supporting long-term career progression into leadership roles in data-driven organisations.