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This BSc Business Analytics course equips students with skills in statistical analysis, programming, modelling, and business problem-solving. It suits numerate students keen on working in analytics, consulting, operations, supply chains, or information systems in organisations.
Curriculum Structure
Year 1:
Students begin by building core quantitative and technical foundations through modules like Introduction to Business Intelligence and Analytics, Tools and Techniques for Business Analytics, and Introduction to Operations Management. These give grounding in statistics, programming (with Python, R, or spreadsheets), problem structuring, and modelling approaches.
Year 2:
In the second year, students deepen their skills via modules such as Business Forecasting, Optimisation, Project Management Tools and Techniques, and Professional Skills. They also explore optional modules depending on chosen specialism (Operations & Supply Chain; Information Systems; etc.), which helps them apply analytics in business or technical contexts.
Year 3:
The final year includes Business Analytics Project and Project Management: Negotiation & Decision Support, among others. Students integrate learning to solve real or complex business problems, enhance their ability to present and communicate data-driven insights, and specialise via electives.
Focus areas: “Statistical analysis, forecasting & optimisation, programming & modelling, operations/logistics/supply chains, information systems & project work”
Learning outcomes: “Ability to build and apply quantitative models; interpret and visualise business data; manage projects and communicate findings; specialise in analytics in supply chain, operations or IS tracks; solve real-world business problems using data & tools”
Professional alignment (accreditation): “Strong alignment with employer needs for hybrid business-technical skills; includes project and case-study work; option for placement or study abroad enhances employability”
Reputation (employability rankings): “Lancaster is 9th for Business & Management in the Guardian University Guide 2025, and ranked among the top-100 in the world for Statistics & Operational Research by QS subject rankings. Graduates are highly sought after for roles in analytics, consulting, operations and data science sectors.”
This programme focuses on applying analytical techniques to real business problems using the University's specialist facilities. You will develop practical skills in data analysis, forecasting, and optimisation using industry-standard software and tools. This hands-on approach is delivered through:
Specialist Analytics Facilities: Access to Lancaster's Management School's computing labs with Bloomberg Terminals and dedicated analytics software for statistical modelling and data visualisation.
Industry-Standard Software: Practical work with analytics programming languages like Python and R, plus business intelligence tools such as Tableau and optimisation software like IBM ILOG CPLEX.
Substantial Final Year Project: A major research project where you tackle a substantial business analytics challenge, applying advanced analytical techniques to real-world data.
Practical Case-Based Learning: Many modules use real business datasets and include group projects that simulate professional consultancy scenarios.
Graduates of Lancaster University’s BSc (Hons) Business Analytics program develop strong analytical, numerical, and problem-solving skills to drive data-informed decision making. They are well-suited for careers such as Data Analyst, Business Consultant, Operations Manager, and Supply Chain Analyst:
The LUMS Careers Team, including a dedicated careers coach, supports students through individualized guidance, internship connections, networking events, and skills workshops in CV building and interview preparation.
Employment outcomes show high graduate employability with average starting salaries around £27,000–£30,000, rising to £36,000+ within five years.
Students benefit from industry collaborations linked to the Lancaster University Management School (LUMS), working with global companies like Deloitte, IBM, and Unilever on real-world analytics projects.
The program’s long-term accreditation by AACSB, EQUIS, and AMBA underscores its professional credibility and global recognition.
Graduates progress into analytical, consulting, and management roles across industries including finance, technology, logistics, and consulting.
Further Academic Progression: Graduates may advance to postgraduate study such as the MSc Business Analytics or MSc Data Science at Lancaster or other top universities. They can also pursue research-based study (PhD) or professional certifications like PRINCE2, Power BI, or data analytics credentials to strengthen specialist expertise.
A Level- ABBIB- 32 points overall with 16 points from the best 3 HL subjectsGCSE requirements Mathematics grade 6/B, English Language grade 4/C IELTS score of 6.5 overall with at least 5.5 in each component for this programme.TOEFL- 87 overall, minimum of 17 in listening, 18 in reading, 17 in speaking and 20 in writingIndia- Indian Certificate of Secondary Education (Standard XII) Pass with 70% to 87% average from the best 4 subjects, excluding Hindi and PE.USA- Three APs with scores ranging between 5,4,4 to 5,5,5 depending on the degree and subject requirements. Or high school graduation diploma GPA (typically 3.2-3.4) plus three honors, advanced/college-level/ dual enrolment classes with scores of B+ to A+ depending on the subject*Actuarial analystBusiness adviserBusiness analystChartered management accountantCorporate investment bankerData analystData scientistForensic accountantInsurance underwriterManagement consultantOperational researcherProduct managerProject managerRisk managerSocial media managerStockbrokerSustainability consultant
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