Master of Science in Business Analytics and Management Science
Southampton, United Kingdom
MLS
DURATION
12 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
TUITION FEES
GBP 32,500 *
STUDY FORMAT
On-Campus
* EU and international students pay
Key Summary
About: This Master of Science in Business Analytics and Management Science at The University of Southampton trains you in analytics, data science, machine learning, strategic analytics and behavioral operations. You'll study theory and practical application with case studies, exercises and research-led teaching from CORMSIS, and choose a dissertation or a competitive 3-month industry placement with employers like British Telecommunications, Deloitte or Ford. The university offers a wide range of merit and competitive scholarships.
Career Outcomes: Graduates qualify for data analysis and business analytics roles; careers include data scientist, analytics consultant and operations analyst in consulting, finance, logistics and public sector.
This Master of Science in Business Analytics and Management Science equips you for a career in data analysis and business intelligence. You'll develop practical skills in using data to drive business performance while learning from leading researchers at CORMSIS, one of the country's best analytics research groups. The program combines theoretical foundations with real-world application through case studies, active discussions, and practical exercises. You can specialise in areas like machine learning, strategic analytics, and behavioural operations, then choose between a traditional dissertation or a competitive 3-month industry placement with organisations such as British Telecommunications, Deloitte, or Ford. This placement offers valuable experience solving real business challenges while building professional networks. The course is ideal if you have a background in quantitative study or work experience in analytics, whether you're looking to specialise further, advance your current role, or change career direction. Throughout your studies, you'll receive dedicated career support to maximise your employment prospects.
You fit this program if you have a 2:1 degree in a quantitative subject such as engineering, computer science, economics, or quantitative business/management. You're ideal if you have analytical skills, enjoy working with data, and want to learn how to extract insights that drive business decisions. Whether you're an early-career professional wanting to formalise your analytics knowledge, someone looking to change career direction into data-driven roles, or a graduate wanting to specialise further, this course suits you. The program works well if you have some work experience in analytics or a related field, though this isn't essential. You should be comfortable with mathematical and statistical concepts and motivated to develop both technical and business skills.
What graduates are qualified to do
After completing this program, you'll be qualified for careers in data analysis, business analytics, and management science roles. You'll be able to use data to improve business performance, solve complex organisational problems, and drive business intelligence decisions. Graduates are equipped for roles across sectors including telecommunications, consulting, finance, and logistics, working with organisations looking for people with strong analytical skills and the ability to form actionable insights from data.
Career paths and typical employers
Graduates pursue careers in business analytics, data analysis, management science, and business intelligence roles. Named organisations that offer placements and hire from the program include British Telecommunications, Deloitte, and Ford. The program prepares you for roles in organisations across sectors (telecommunications, consulting, finance, logistics, and public sector) that need professionals who can extract insights from data to drive business decisions.
Full-time, 12 months (September to September), taught in English. Based at Highfield campus. Delivered through lectures, case studies, active discussions, and practical exercises, with 9 months of taught modules (semesters 1 and 2) followed by 3 months of independent study (dissertation or industry placement).
This is a 12-month full-time program (September to September). You study for 9 months (semesters 1 and 2) combining core modules that everyone takes with optional modules you choose to specialise. Core modules include Foundation of Business Analytics and Management Science, and Optimisation and Decision Modelling. Optional specialisations include advanced analytics methods (machine learning, strategic analytics, behavioural operations) and management applications (logistics, project and risk management, revenue management). In semester 2 you prepare for your final assessment. You then choose either a 3-month independent dissertation (summer) or compete for a 3-month industry placement with an external organisation. See course modules document for full details.