Course summary
We live in a world where analytical decision-making happens every second. Data is collected about everything to construct, operate and maintain systems. If you want a career in data or business analytics, decision support, industrial engineering or management science, our MSc Business Analytics is ideal for you. This programme will train you in analytical decision-making. Not only do you learn the theory of business analytics, but also how to apply it in practice. This involves generating relevant business insights using data-driven methodologies and tools. Our programme is one of the few to teach the entire business analytics life cycle, covering descriptive, predictive and prescriptive analytics. Develop essential skills for success Our MSc Business Analytics covers a combination of technical skills, critical thinking skills and soft skills. You will enhance your programming in both R and Python, the two most popular languages in the areas of machine learning, statistics and data mining. You will strengthen your skills in statistics, data analytics and visualisation. You will improve your problem structuring and problem solving. You will also hone your presentation, negotiation, and leadership skills. All these skills enable you to develop the competence and confidence to contribute to the grand challenges faced by organisations. Industry-relevant and real-world application We have excellent partnerships with business analytics practitioners working in industry. We constantly update this programme to reflect the dynamically changing landscape of business analytics. We place a very strong emphasis on giving you skills that are valuable in the job market. You can complete an analytics project that solves a real-life problem as part of the programme. A legacy of analytics excellence Lancaster University is a pioneer of analytics in the UK and Europe. We were one of the first universities in the UK to establish an Operational Research department, which developed into the Department of Management Science. For more than 50 years, we have been at the forefront of applying analytics to business in teaching and research. Our academics are leaders in fields such as forecasting, optimisation, simulation and stochastic modelling. You will learn technical aspects like machine learning and data mining. We also have expertise in logistics and supply chain analytics, healthcare analytics, sports analytics, network analytics, marketing analytics and pricing analytics.
Modules
Module information can be found here: http://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/business-analytics-msc/#coursestructure
Entry requirements
2:2 Hons degree (UK or equivalent). We consider a wide range of degrees, including business, economics, engineering, statistics, mathematics, psychology, geography and sociology, provided that the applicant has had exposure to quantitative methods such as mathematics, statistics, probability, econometrics, game theory, data analysis, operations research, simulation and business modelling, etc. Marks should be consistently at 2:2 level throughout your undergraduate studies. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For information about fees and funding please visit our website: www.lancaster.ac.uk/study/fees-and-funding.
Provider information
Lancaster University
Bailrigg
Lancaster
LA1 4YW