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Different course options

Study mode

Full time

Duration

1 year

Start date

07-OCT-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Business Modelling / Analysis Business Studies

Course type

Taught

Course Summary

Course Overview

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, this 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.

We have excellent partnerships with industry business analytics practitioners. We constantly update this programme to reflect the dynamically changing landscape of business analytics. We place a very high emphasis on creating graduates with skills that are valuable in the job market. For example, you will experience a real-life analytics project as part of your course.

Lancaster is a pioneer of analytics in UK and Europe. We were one of the first universities in the UK to establish an Operational Research department, which developed into Business Analytics. More than 50 years on, we are still 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 domain expertise like logistics and supply chain analytics, healthcare analytics, sports analytics, network analytics, marketing and pricing analytics.

Our graduates become business analysts, data scientists, analytics engineers and logistics consultants, and some also go into academic research. Many students get job offers whilst still studying.

Modules

This module provides an introduction to Business Analytics and Operational Research. It begins with a description of the origins of the subjects, an overview of their subsequent development, and a discussion on how to model real-life problems adequately. The remainder of the course gives an overview of some of the most widely used models and solution methods, including decision analysis, linear programming, inventory control, simulation and Markov chains.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

13,650

International fees
Course fees for EU and international students

For this course (per year)

25,360

Entry requirements

Students need to have 2:1 Hons degree (UK or equivalent) in a quantitative discipline such as Mathematics and/or Statistics, including Science, Engineering, Economics and Computer Science. Business and Management degrees with a strong quantitative component would also be considered.