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  • DeadlineStudy Details: Full time 1 year

Masters Degree Description

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.

Entry Requirements

2:2 Hons degree (UK or equivalent). We consider a wide range of degrees including business, economics, engineering, statistics, mathematics, psychology, georgraphy 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.

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Fees

For fees and funding options, please visit our website to find out more.

Student Destinations

A Business Analytics degree can be widely applied across the business world. Our graduates go on to work for a wide range of companies, large and small, around the world, in a variety of roles.

Recent graduate destinations include:

  • Virgin Atlantic
  • Avanti West Coast
  • EY
  • Amazon
  • NielsenIQ
  • NHS
  • Asda
  • Perch Group
  • Ascertia
  • ITV
  • Sainsbury’s
  • Serco.

The roles our graduates have taken on include:

  • Data Scientist
  • Business Analyst
  • Insights Analyst
  • Account Executive
  • Financial Analyst
  • eCommerce Data Analyst
  • Customer Analyst
  • Strategy Analyst
  • Product Analyst
  • Fraud Specialist
  • Business Intelligence Developer
  • Business Consultant
  • Credit Analyst

Module Details

Core
Decision Analytics
Forecasting and Time-Series Analytics
Python Programming
Statistics for Business
Optional
Dissertation: Industry
Dissertation: Research
Machine Learning and Data Mining
Marketing Analytics
Operations and Supply Chain Excellence
Optimisation and Heuristics
Simulation and Reinforcement Learning

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