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Lancaster University: Business Analytics
| Institution | Lancaster University View institution profile |
|---|---|
| Department | Management Science |
| Web | www.lancaster.ac.uk |
| lumspgadmissions@lancaster.ac.uk | |
| Telephone | 01524 593840 |
| Study type | Taught |
MSc
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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
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.
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 University 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.
Course Content The MSc in Business Analytics consists of compulsory and optional modules, plus a project. The compulsory modules ensure that you have a firm grounding in important subjects. The wide range of optional modules allows you to specialise in subjects that particularly interest you.
During your first term from October to December you will study four core modules: - Operational Research and Prescriptive Analytics
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Statistics and Descriptive Analytics
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Python Programming for Problem Solving
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Forecasting and Predictive Analytics
The second part of the course runs from January to May, and includes the Analytics in Practice module plus three optional modules.
From May to September you will choose one of the two dissertation modules. - Dissertation (Industry)
- Dissertation (Research)
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:2 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. Marks should be consistently at 2:2 level throughout your undergraduate studies. Previous studies need to have included topics such as mathematics, probability, statistics, econometrics, game theory, data analysis, operations research, simulation, and business modelling. Prior study in computer programming is not required. For recent graduates, relevant experience can be an advantage but is not essential. For other applicants, work experience in analytics and/or data modelling is required. Ideally, no more than five years should have elapsed since previous full-time study. 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. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Lancaster University is home to a dynamic postgraduate community and offers a wealth of both taught and research study options across a wide range of subject areas. Studying at Lancaster is all about broadening your horizons, finding new perspectives and discovering new experiences. By living and studying with students and staff from over 130 countries students join a global community and have the opportunity to make international connections.
We are proud to be highly ranked in three major UK league tables. We’ve also been awarded 5 Stars for overall performance in the globally renowned QS World Ratings. The …
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