Business Analytics - MSc

Lancaster University    Department of Management Science

Full time October MSc 1 year full time
Business & Management (5) Mathematics (25)

FindAMasters summary

Are you ready to make data-driven decisions and excel in the world of business analytics? Look no further than our MSc in Business Analytics programme at Lancaster University. This comprehensive course will equip you with the skills to thrive in decision support, operational research, and management science. You'll learn the theory and practical application of business analytics, covering descriptive, predictive, and prescriptive analytics. With strong industry partnerships, our programme stays up-to-date with the ever-evolving field. Our expert faculty will guide you through technical aspects like machine learning and data mining, as well as domain expertise in logistics, healthcare, sports, and marketing analytics. Join us and become a sought-after business analyst or data scientist. No prior programming experience required.

About the course

We live in a world where analytical decision-making happens every second. Data is collected about everything in order to construct, operate and maintain systems. If you want a career in decision support, operational research, industrial engineering or management science, the MSc Business Analytics is the ideal programme for you.

This course 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.

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Entry Requirements

2:1 Hons degree (UK or equivalent) in a quantitative discipline such as Mathematics and/or Statistics or Engineering. Businesss and Management degrees with a very strong quantitative component may also be considered. Information Technology and Computer Science degree are only suitable with very strong quantitative content.

Previous study needs to have included topics such as maths, probability, statistics, econometrics, game theory, data analysis, operations research, simulation and business modelling. Prior study in computer programming is not required.

 Course Content

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Where will I study?

Where is Lancaster University


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Student Profile

Rodrigo Urrea Osorio

Lancaster made me switch my career path through helping me discovering new tools, techniques and methodologies to face nowadays business problems.

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