MSc Data Science and Analytics at University of Westminster

Programme overview

The Data Science and Analytics MSc (previously Business Intelligence and Analytics MSc) applies artificial intelligence, machine learning and decision science to business intelligence, data science and business analytics. Teaching uses lectures, tutorials, seminars and practicals with industry-standard software such as R, Python, Simul8, Palisade Decision Tools, Tableau and Oracle.

Duration: 1 year full-time | Intake: January 2027 and September 2027 (full-time and part-time day) | Study mode: full-time | Location: London, England, United Kingdom

What you will study

Students take five core modules: Business Analytics, Data Mining and Machine Learning, MSc Project, Data Visualisation and Dashboarding and Data Warehousing and Business Intelligence. Options include Web and Social Media Analytics, Simulation Modelling, Data Repositories Principles and Tools and Big Data Theory and Practice.

Career pathways

Graduates are typically employed as consultants, data scientists, decision modelling or advanced data analysts and in analytics teams supporting management decisions. Roles include data analyst, data scientist, big data architect, insights manager and chief data officer.

Official programme page

Application information

Entry requirements

Minimum lower second class honours degree (2:2) in a scientific or engineering discipline with some exposure to IT, or in computer science or IT with a strong interest in quantitative analysis. Applicants without a formal qualification who are in employment may be considered if their role involves the data mining and decision support techniques used on the course. A personal statement is required. International applicants whose first language is not English need IELTS 6.5 with no element below 6.0.

Domestic applicants: GBP 11,900 a year. UK tuition fee per academic year as shown on the course page Source

International applicants: GBP 20,000 a year. International tuition fee per academic year as shown on the course page Source

Intake: January 2027, September 2027

Duration: 1 year full-time / 2 years part-time

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