find your perfect postgrad program
Search our Database of 30,000 Courses
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 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
- Statistics and Descriptive Analytics
- Python Programming for Problem Solving
- 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 | 2:1 Hons degree (UK or equivalent) in a quantitative discipline such as Mathematics and/or Statistics, including Science and Engineering. Business and Management degrees with a strong quantitative component would also be considered. We may also consider non-standard applicants, please contact us for information. Work experience in a related field would be welcome, but it is not essential. 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, 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.
Level | RQF Level 7 |
---|---|
Entry requirements | 2:1 Hons degree (UK or equivalent) in a quantitative discipline such as Mathematics and/or Statistics, including Science and Engineering. Business and Management degrees with a strong quantitative component would also be considered. We may also consider non-standard applicants, please contact us for information. Work experience in a related field would be welcome, but it is not essential. 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 7.0, 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, 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.
Level | RQF Level 7 |
---|---|
Entry requirements | 2:1 Hons degree (UK or equivalent) in a quantitative discipline such as Mathematics and/or Statistics, including Science and Engineering. Business and Management degrees with a strong quantitative component would also be considered. We may also consider non-standard applicants, please contact us for information. Work experience in a related field would be welcome, but it is not essential. 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 7.0, 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 are also climbing in the world rankings and are currently in the top 125 out of more than …
View ProfileNot what you are looking for?
Browse other courses in Business studies or Business statistics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here