Taught course

Business Analytics

Institution
Lancaster University · Management School
Qualifications
MSc

Entry requirements

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.

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.

Months of entry

October

Course content

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.

Information for international students

Details of entry requirement for international students can be found here: Grade Equivalencies

Proof of english language is required from non-native english speakers. We require IELTS with an overall score of 7.0, with no less than 6.0 in any element, or an approved equivalent.

If your score is below our requirements, we may consider you for one of our pre-sessional english language programmes.

Fees and funding

UK students
£16,500
International students
£23,000

www.lancaster.ac.uk/pgfunding

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
LUMS Course Enquiries
Email
lums@lancaster.ac.uk
Phone
+44 (0)1524 592938