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Mathematics, Operational Research, Statistics and Economics (MORSE), BSc (Hons), with industry placement

Lancaster University, United Kingdom

 
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Ranking in UK

10th
overall
QS
Statistics and Operational Research
6th
ARWU
Statistics
8th
Guardian
Mathematics
10th

Costs

Course fees S$43.2K / year
Entertainment, books
food & rent
S$17.1K / year
Beer S$8
MacDonalds S$15
Cinema S$12
Coffee S$5
Total S$60.3K / year

Entry requirements

A Level AAA
Diploma 3.5
International Baccalaureate 36

Scholarships

Lancaster Global Scholarship
£2000 for tuition
Limited quantity
Lancaster Management School Master's Scholarship
Up to £8300 for tuition
Limited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
GLN1
Upcoming
Intakes
Oct 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2029
About the course

BSc Mathematics, Operational Research, Statistics, and Economics (MORSE) (Industry) is a focused degree for students aiming to apply mathematical expertise to real-world business and industry challenges. The programme builds foundational knowledge in algebra, calculus, probability, statistics, operational research, and economics, while incorporating programming languages like Python or R. It equips students with essential skills in analytical reasoning, quantitative analysis, optimisation, and data handling, preparing them for careers such as business analysts, data scientists, or operational researchers. A year in industry provides hands-on experience, enhancing employability and offering pathways to academic research.The programme structure begins with a first year establishing core modules in mathematics, statistics, economics, and operational research. In the second year, students deepen their expertise and select optional modules in areas like game theory or operations management. The third year involves a full-time placement for practical skills development, supported by the university. If a placement is unavailable, students can transfer to a non-placement track. The fourth year includes advanced modules in statistics, machine learning, and financial mathematics, allowing tailored specialisation.

A local representative of Lancaster University in Singapore is available online to assist you with enquiries about this course.