MSc Digital Marketing & Analytics
Regent's University London offers an MSc in Digital Marketing & Analytics, prov...
BSc (Hons) Business and Data Science
London
INTAKE: September
Program Overview
At Regent's University London, the Bachelor of Science (BSc Hons) in Business and Data Science program offers a unique blend of business management principles and data analytics skills. This interdisciplinary program aims to prepare students for careers at the intersection of business and data science, where they can leverage data-driven insights to drive strategic decision-making and gain a competitive advantage in the global marketplace. The BSc (Hons) Business and Data Science program equips students with the knowledge, tools, and techniques necessary to analyze complex data sets, extract meaningful insights, and apply them to solve real-world business challenges.
Curriculum: The curriculum of the BSc (Hons) Business and Data Science program at Regent's University London covers a wide range of subjects, including business management, statistics, data analysis, programming, machine learning, and data visualization. Students learn how to collect, clean, and analyze data using statistical methods and programming languages such as Python and R. They also study business topics such as marketing, finance, operations, and strategy to understand how data science can be applied to different functional areas within organizations. The program emphasizes hands-on learning through practical projects, case studies, and industry-relevant coursework, allowing students to develop both technical and managerial skills required for success in business analytics roles.
Research Focus: Regent's University London encourages research and innovation within its BSc (Hons) Business and Data Science program, providing students with opportunities to explore emerging trends and challenges in data-driven decision-making. Faculty members engage in research activities related to business analytics, data mining, predictive modeling, and artificial intelligence. Students have the opportunity to participate in research projects, conduct independent studies, and collaborate with faculty mentors on research initiatives. This research focus enhances students' analytical skills, critical thinking abilities, and understanding of advanced data science concepts, preparing them to contribute to the advancement of knowledge in the field of business analytics.
Industry Engagement: Regent's University London maintains strong connections with industry partners to ensure that its BSc (Hons) Business and Data Science program remains relevant and responsive to the needs of employers. Through partnerships with leading companies, consulting firms, and technology providers, students have access to internships, industry projects, and networking events that provide valuable hands-on experience and exposure to real-world business analytics challenges. Industry professionals are invited to deliver guest lectures, workshops, and seminars, offering insights into current trends, best practices, and career opportunities in the field of business analytics.
Global Perspective: With a commitment to providing a global perspective, Regent's University London integrates international dimensions into its BSc (Hons) Business and Data Science program. Students study global business trends, cross-cultural management, and international data regulations to understand the complexities of conducting business in a globalized world. The university offers opportunities for international study trips, exchange programs, and collaborations with partner institutions worldwide, allowing students to gain exposure to diverse business environments and develop a global mindset essential for success in the global marketplace.
Location
London
Score
IELTS 6
Tuition Fee
£ 25000
Undergraduate Entry Requirements
Academic Qualifications: International undergraduate applicants are typically required to have achieved a minimum of 65% or above in their high school or equivalent qualification. This criterion helps assess the academic preparedness of students for higher education.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0, with no individual component below 5.5.
- TOEFL: A minimum score range of 72-88 on the internet-based test (iBT).
- PTE: A minimum score range of 51-59 on the Pearson Test of English.
- Meeting the English language requirement ensures that students can effectively engage in academic studies conducted in English.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Regents University London offers a range of scholarships and financial aid opportunities to support students in their academic journey. These scholarships are designed to recognize academic excellence, leadership potential, and various other criteria.
Regents University London Scholarships: The university offers a number of scholarships for both undergraduate and postgraduate students. These scholarships cover a range of disciplines and are awarded based on academic merit, leadership potential, and other criteria. Examples include the High Achiever Scholarship, Future Entrepreneur Scholarship, and Regent's Family Scholarship.
Partner Scholarships: Regents University London has partnerships with various organizations and institutions that offer scholarships to their students. These scholarships may be specific to certain courses or target students from particular regions or backgrounds. Students are encouraged to check with their respective schools or organizations for available partner scholarships.
External Scholarships: Regents University London also encourages students to explore external scholarship opportunities from government bodies, foundations, and other organizations. The university provides resources and support to help students identify and apply for these external scholarships.
It is important to note that the availability, eligibility criteria, and application deadlines for scholarships may vary from year to year.
Graduates of Regent's University London's BSc (Hons) Business and Data Science program are well-positioned to pursue a variety of rewarding career paths in the rapidly growing field of business analytics and data science. With a strong foundation in business management principles and data analysis skills, graduates can leverage their expertise to make data-driven decisions, solve complex business problems, and drive innovation.
Business Analyst: Graduates can work as business analysts, bridging the gap between business objectives and data insights. They analyze business processes, identify opportunities for improvement, and leverage data analytics tools to provide actionable recommendations for optimizing operations, increasing efficiency, and driving business growth.
Data Analyst: Graduates may pursue careers as data analysts, responsible for collecting, cleaning, and analyzing data to extract valuable insights and trends. Data analysts work with structured and unstructured data sets, perform statistical analyses, and create data visualizations to support decision-making and strategic planning across various business functions.
Data Scientist: Graduates with advanced skills in data analysis and machine learning can work as data scientists, applying statistical algorithms and predictive modeling techniques to extract insights and make predictions from large and complex data sets. Data scientists work on projects such as customer segmentation, demand forecasting, and predictive maintenance to drive business innovation and competitive advantage.
Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, focusing on the development and implementation of business intelligence solutions to support decision-making and performance monitoring. Business intelligence analysts design dashboards, reports, and data visualizations to communicate key performance indicators (KPIs) and actionable insights to stakeholders.
Data Engineer: Graduates interested in data infrastructure and architecture can work as data engineers, designing, building, and maintaining data pipelines and infrastructure to support data analytics and business intelligence initiatives. Data engineers develop data warehouses, ETL (extract, transform, load) processes, and data integration solutions to ensure data quality, reliability, and accessibility.
Quantitative Analyst (Quant): Graduates with strong mathematical and analytical skills can pursue careers as quantitative analysts, working in financial institutions, investment firms, or consulting companies. Quantitative analysts develop mathematical models, perform risk analysis, and conduct quantitative research to support investment decisions, trading strategies, and risk management practices.
Marketing Analyst: Graduates can work as marketing analysts, leveraging data analytics techniques to analyze customer behavior, market trends, and campaign performance. Marketing analysts use data to identify target audiences, optimize marketing campaigns, and measure marketing effectiveness to drive customer acquisition, retention, and engagement.
Operations Analyst: Graduates may pursue careers as operations analysts, focusing on optimizing business processes, supply chain management, and logistics operations using data-driven approaches. Operations analysts analyze production workflows, inventory levels, and resource allocation to improve operational efficiency, reduce costs, and enhance customer satisfaction.
Consultant: Graduates with strong analytical and problem-solving skills can work as consultants, advising organizations on business strategy, process improvement, and data-driven decision-making. Consultants collaborate with clients to identify business challenges, develop solutions, and implement data analytics initiatives to drive organizational success and competitiveness.
Entrepreneur/Startup Founder: Graduates with an entrepreneurial mindset may choose to start their own business or join a startup, leveraging their business acumen and data science skills to identify market opportunities, develop innovative products or services, and build scalable business models. Entrepreneurs and startup founders use data analytics to inform business strategies, attract investors, and drive business growth.
