Power up your career with a course designed to meet the growing demand for graduates who can transform the world of marketing though data-led decision making, using leading-edge, industry-standard analytics tools. These include R, Python, Excel, KNIME, Tableau, Power BI, SQL and Google Analytics) and AI (like ChatGPT, GitHub, Copilot, Gemini, K-AI and Cursor. Why choose the School of Business Management
- Our new business analytics suite features £300K of industry-standard hardware and software including specialist marketing analytics software.
- Our student-led Marketing Club, affiliated with CIM, organises workshop events and field trips, including to digital marketing agencies and the Museum of Brands.
- Opportunities for consultancy experience during the second year of the degree, assisting businesses " from start-ups to established corporations - to solve problems, up-skill and innovate. The course may appeal to those working in marketing/business who wish to advance their career and improve their decision making by using a data-driven approach. On graduation, you can expect to be highly in demand and command an above-average graduate salary. Typical job roles would be marketing analyst, marketing strategist, customer insight specialist or business analyst. You can also choose to progress onto one of the University¿s postgraduate courses such as our MBA with Data Analytics, MSc Business Analytics or MSc Digital Marketing.
Modality
ON-CAMPUS: LUTON
UCAS entry grades
BBB
UCAS Tariff points
120 points
Tuition fee
£9,790
Entry requirements
96 UCAS tariff points including 80 from at least 3 A-levels or equivalent
GCSE grade 5 Maths or equivalent
Dates and duration
Next Date: September
Career opportunities
Where this programme can take you
The course may appeal to those working in marketing/business who wish to advance their career and improve their decision making by using a data-driven approach. On graduation, you can expect to be highly in demand and command an above-average graduate salary. Typical job roles would be marketing analyst, marketing strategist, customer insight specialist or business analyst. You can also choose to progress onto one of the University¿s postgraduate courses such as our MBA with Data Analytics, MSc Business Analytics or MSc Digital Marketing.
SYLLABUS
Year 1 Introduction to digital marketing and analytics " Learn core digital marketing concepts around social media, data-driven relationships, and metrics and analytics. Principles of marketing " Use market analysis and data to create plans for products and branding that meet specific briefs. Consumer behaviour " Understand how people think, act and engage with brands, and how brands target audiences. Beginning your professional business journey " Take on business challenges and collaborate with peers in a professional environment. Essential statistics for business and marketing " Build essential data and numerical skills for modern marketing. Introduction to data analytics software " How to use the programming language R and the tidyverse for data manipulation and analysis.
Year 2 Integrated digital marketing communications " Learn to respond to a range of marketing challenges using contemporary marketing communications methods. Data and research methods for business " Investigate research and data-analysis methods to support you in applying research findings to business issues. Econometrics for marketing - Understand quantitative marketing analysis, different marketing environments and the economic conditions firms operate in. Further data analytics software " Gain hands-on Python programming skills for business data manipulation. Analytics for customer insights and selection " Perform customer data analytics using R, Tableau and Excel, creating visualisations that communicate insights. Practical digital marketing analytics " Use specialist marketing-based analytical tools to identify gaps, suggest solutions and track impact.
Year 3 Marketing ethics and CSR " Understand the ongoing ethical debates around corporate social responsibility, and use this knowledge to present a clear, balanced argument. Further customer analytics and insights " Be able to collect and interpret marketing data using traditional research methods and modern machine-learning techniques. Using databases for marketing decisions " Develop the analytical skills to query databases efficiently and transform raw data into insights for marketing strategies. Practical text and social media analytics " Use Python to analyse real-world marketing challenges such as customer preferences and social media trends. Business project " Independently design, plan, manage and a research project.
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