MSc Data Science for Business and Innovation

12 Months On Campus Masters Program

Regents University London

Program Overview

The MSc Data Science for Business and Innovation at Regent's University London prepares students to harness the power of data science to drive business innovation, support strategic decision-making and create competitive advantage in today's data-driven economy. Designed for graduates from both technical and non-technical backgrounds, the programme combines data science, business analytics, artificial intelligence, innovation and digital transformation, equipping students with the skills to analyse complex data and develop intelligent business solutions.

Curriculum Structure

Term 1

Students establish a strong foundation in data science and business through modules including Data Science Fundamentals, Business Analytics, and Innovation and Digital Transformation. They explore data analysis techniques, statistical methods and emerging digital technologies while developing an understanding of how organisations use data to improve operational efficiency and strategic decision-making.

Term 2

The second term focuses on advanced data applications through Machine Learning for Business, Data Visualisation and Business Intelligence, and Predictive Analytics. Students learn how organisations extract insights from large datasets, build predictive models, communicate business intelligence through visualisation tools and develop data-driven strategies that support innovation and organisational growth.

Term 3

In the final stage, students apply their knowledge through Research Methods, a substantial Business Consultancy Project or Dissertation, and practical data science challenges. Working on real business problems, they develop advanced research, analytical and consultancy skills while producing evidence-based data solutions that improve organisational performance and support digital transformation.

Focus Areas (in a string)

Data Science, Business Analytics, Machine Learning, Predictive Analytics, Business Intelligence, Data Visualisation, Artificial Intelligence, Digital Transformation, Innovation Management, Statistical Analysis, Big Data, Decision Making, Business Strategy, Data-Driven Innovation.

Learning Outcomes (in a string)

Apply data science techniques to solve business challenges, analyse complex datasets, develop predictive models, create business intelligence solutions, communicate data insights effectively, support digital transformation initiatives, formulate data-driven business strategies, conduct business research, lead innovation projects and implement ethical data practices.

Professional Alignment (Accreditation)

The programme is accredited by the Chartered Management Institute (CMI), enabling eligible students to graduate with both a Regent's University London master's degree and a CMI Level 7 Certificate in Strategic Management and Leadership Practice, enhancing professional recognition and leadership credentials.

Reputation (Employability Rankings)

Students benefit from studying at Regent's University London, recognised for its strong industry connections, personalised teaching and central London location. The programme offers opportunities to participate in Continuous Development Workshops, collaborate with industry partners through consultancy projects and data-driven business challenges, and build professional networks with global organisations, strengthening graduate employability.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science for Business and Innovation combines academic learning with practical industry engagement to help students develop the technical, analytical and strategic skills needed to transform data into meaningful business insights. Throughout the programme, students work on real business challenges, collaborate with industry professionals, develop data-driven solutions through consultancy projects and gain practical experience in data analytics, business intelligence and digital innovation. Studying in central London also provides opportunities to connect with global organisations and apply classroom knowledge to real-world data science and business transformation projects.

Students strengthen their practical skills through the following experiences:

Participate in Continuous Development Workshops designed to enhance leadership, employability, communication and professional data science and business skills.
Apply to join the Luxury Lab Consultancy Series, working in multidisciplinary teams to solve real business challenges for leading organisations such as Estée Lauder Companies, Laurent-Perrier and Fortnum & Mason.
Complete a Business Consultancy Project or Dissertation in the final term, researching and proposing data-driven solutions for real organisational challenges.
Take part in live business briefs, bootcamps and creative laboratories commissioned and evaluated by industry partners seeking innovative data science and digital transformation solutions.
Gain access to industry placements, enabling students to build practical workplace experience within data science, business analytics, digital transformation and consulting environments.
Learn from guest speakers and industry professionals, benefiting from Regent's extensive network of data scientists, technology leaders, entrepreneurs and business executives.
Develop global teamwork skills through collaborative projects with students representing 130+ nationalities, reflecting the international nature of data-driven business innovation.
Study a business-critical foreign language alongside the programme to strengthen international communication and cross-cultural business capabilities.
Use Blackboard, Regent's virtual learning environment, to access learning resources, collaborate on group projects, submit coursework and receive academic feedback.
Access the Regent's Library, offering specialist business, technology and data science databases, academic journals, digital resources, collaborative study areas and individual learning spaces to support data science research and consultancy work.
Benefit from small class sizes that encourage personalised mentoring, interactive discussions and close collaboration with academic staff and experienced industry practitioners.

Progression & Future Opportunities

Graduates of the MSc Data Science for Business and Innovation leave Regent's with the analytical, technical and strategic skills needed to harness data for business growth and digital transformation. The programme prepares students for careers in technology companies, consulting firms, financial services, healthcare, retail and multinational organisations, with graduates pursuing roles such as Data Scientist, Business Intelligence Analyst, Data Analytics Consultant, and Digital Transformation Manager.

Students receive extensive career support and professional development through the following opportunities:

Dedicated Careers, Enterprise & Industry Team offering personalised career consultations, CV and cover letter reviews, interview coaching, assessment centre preparation, LinkedIn optimisation and business start-up advice.
Access to Handshake, connecting students with 650,000+ global employers, alongside exclusive internships, graduate vacancies, networking opportunities and employer events.
Opportunity to participate in industry masterclasses, seminars, networking events and employer meet-ups, where students connect directly with recruiters, data science professionals, technology specialists and business leaders.
Support for consultancy projects, internships and graduate applications, with tailored guidance based on students' career aspirations within data science, business analytics, digital transformation and consulting.
Students interested in entrepreneurship can develop new ventures through The Hive, Regent's enterprise and business incubation initiative, with mentoring, networking and start-up support.
The programme is accredited by the Chartered Management Institute (CMI). Eligible students can gain the CMI Level 7 Diploma in Strategic Management and Leadership Practice, helping accelerate progression towards Chartered Manager (CMgr) status.
CMI membership provides access to professional mentoring, Continuing Professional Development (CPD) activities, specialist career advisers, networking events and extensive leadership resources, adding long-term value to graduates' careers.
Graduates develop transferable skills in data science, business analytics, predictive modelling, business intelligence, data visualisation, strategic decision-making, innovation management and problem-solving, enabling careers in data science, analytics consulting, business intelligence, digital transformation and entrepreneurship.
Regent's global alumni network and strong employer connections across London's international business and technology community help graduates build professional relationships and access worldwide career opportunities.
Graduates may also be eligible to apply for the UK Graduate visa, allowing them to work or look for work in the UK after completing their studies, subject to current UK immigration regulations.

Further Academic Progression:

After completing the MSc Data Science for Business and Innovation, graduates can pursue doctoral studies such as a PhD or DBA (Doctor of Business Administration) in Data Science, Business Analytics, Artificial Intelligence, Digital Innovation, Information Systems or Management. They may also continue their professional development through advanced leadership qualifications, Chartered Manager (CMgr) status via the CMI, or specialist certifications in Data Science, Machine Learning, Business Intelligence, Data Analytics, Cloud Computing, Microsoft Power BI, Tableau and Big Data Technologies to further strengthen their global career prospects.