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

3 Years On Campus Bachelors Program

Lancaster University

Program Overview

The MORSE programme combines mathematics, statistics, operational research, and economics into one integrated degree. It is ideal for students who enjoy quantitative analysis and want to understand economic and business contexts, preparing them for careers in data science, consultancy, finance, analytics, operations research, and economics.

Curriculum Structure

First Year

Year 1 builds a strong foundation across mathematics, statistics, economics, and operational research. Core modules include Calculus, Matrices and Calculus, Linear Algebra, Probability & Statistics, Economic Principles and Applications, and Tools and Techniques for Business Analytics. These provide the essential analytical, statistical, and economic skills needed for advanced study.

Second Year

Year 2 deepens understanding in all four disciplines. Students study advanced mathematics and statistics such as Linear Algebra II and Further Probability/Statistics, intermediate economics including microeconomic and macroeconomic analysis, and operational research/optimisation or business modelling modules. Optional modules allow students to begin specialising in areas of interest.

Third Year (Standard 3-Year Version)

In the final year, students combine core and optional modules to specialise. Core statistical modules may include Statistical Inference, while optional modules can include Advanced Statistical Modelling, Data Mining, Machine Learning, Stochastic Processes, Financial Mathematics, Econometrics, or optimisation-focused modules. This lets students tailor their degree toward careers in data science, finance, operations research, or economics.

Third Year + Fourth Year (Placement or Study Abroad Version)

For the four-year variant, the third year is a full-time industry placement, giving students practical experience applying mathematics, statistics, economics, and analytical modelling in a real-world context. Year 4 is then dedicated to advanced study with optional modules aligned to career goals, combining academic depth with real-world insight.

Focus Areas

Mathematics (calculus, linear algebra, probability & statistics), operational research & optimisation, data analysis & statistical modelling, economics (micro, macro, econometrics), business analytics, machine learning, forecasting, and applied quantitative methods.

Learning Outcomes

Graduates gain strong skills in mathematical reasoning, statistical inference, data analysis, optimisation and modelling, and economic reasoning. They are equipped to analyse data, build predictive models, interpret results, and apply quantitative techniques to real-world problems, making them highly employable in analytics, finance, consulting, and research.

Professional Alignment (Accreditation & Employability)

MORSE equips students with specialist and transferable skills in mathematics, statistics, economics, and operational research. Graduates are prepared for roles such as data scientists, statisticians, economists, consultants, actuaries, financial modellers, operations research analysts, and business analysts across sectors like finance, consulting, public policy, technology, and research.

Reputation (Employability & Rankings)

Lancaster University’s mathematics and economics departments are consistently ranked among the top in the UK. MORSE graduates are highly sought after and have secured positions as data analysts, actuaries, operations research analysts, economists, consultants, quantitative analysts, statisticians, and financial modellers.

Experiential Learning (Research, Projects, Internships etc.)

The MORSE programme combines mathematics, statistics, operational research, and economics, giving you both rigorous academic foundations and practical, real-world problem-solving skills. From Year 1, you develop essential quantitative skills in calculus, probability, statistics, linear algebra, and economic reasoning. As you progress, you apply these skills to real data, optimisation problems, decision-making, and modelling. The optional placement variant allows a full year in industry, giving hands-on professional experience before you graduate.

Transitioning to the specific experiential learning opportunities and facilities:

• Core academic foundations

Year 1 introduces calculus, linear algebra, probability, statistics, logic, and introductory economics and operational research concepts.
Year 2 deepens your understanding with advanced mathematical, statistical, and economic models, preparing you for practical applications.

• Data analysis, programming, and optimisation

Operational Research and Business Analytics modules teach you to use tools like Python or R for modelling problems, performing statistical analyses, and simulating scenarios.
Applied projects and assignments develop teamwork, communication, and problem-solving skills relevant for research and professional settings.

• Specialist modules and electives

In later years, you can choose advanced modules such as econometrics, machine learning, stochastic processes, financial mathematics, forecasting, and optimisation techniques.
This allows you to tailor the degree towards careers in data science, analytics, consulting, finance, or research.

• Industry placement (optional)

In the four-year placement variant, Year 3 is spent in full-time professional work in industry, finance, data analytics, or related fields.
The placement provides hands-on experience applying mathematical, statistical, and operational research skills to real-world problems, enhancing employability and practical understanding.

• Career support and professional recognition

MORSE graduates are prepared for roles such as data scientist, operations research analyst, business analyst, consultant, statistician, finance-modelling analyst, and actuarial analyst.
The university provides dedicated career guidance, mentoring, workshops, and networking opportunities to help translate your degree into employment.

• Supportive learning environment

Weekly workshops, problem-solving classes, and one-to-one academic support ensure strong understanding of both mathematical and economic concepts.
Peer-led study groups and collaborative projects foster interdisciplinary learning, critical thinking, and practical problem-solving.

Who this course suits

Students interested in applying mathematics and statistics to real-world problems in economics, business, finance, or operations.
Those who enjoy quantitative modelling, data analysis, optimisation, and decision-making.
Learners seeking flexibility to specialise in advanced mathematics, operational research, statistics, or economics.
Students who value hands-on industry experience via a placement year to strengthen employability.
Individuals aiming for careers in data science, analytics, consulting, finance, research, or operational management.

Progression & Future Opportunities

Graduates from Lancaster’s MORSE program combine strong mathematical, statistical, and economic expertise with practical analytical and decision-making skills. Many secure roles in data science, statistics, finance, consulting, operational research, or business analytics. The degree equips students to handle complex problems, model economic or business processes, and apply data-driven solutions across multiple sectors.

Typical job roles include:

Business Analyst or Management Consultant
Data Scientist or Analytics Engineer
Operational Research / Optimisation Specialist
Financial, Risk, or Economic Analyst
Statistician or Modelling Specialist

How Lancaster supports your career success:

Interdisciplinary and Applied Curriculum: Students build strong foundations in calculus, linear algebra, probability & statistics, economics principles, and operational research tools for business analytics.
Flexibility and Specialisation Options: Later-year optional modules let you tailor your degree toward machine learning, data mining, forecasting, financial mathematics, optimisation, or operations management, depending on your career goals.
Practical Skills & Tools: The program emphasises real-world application, teaching tools such as R, Python, Excel, and project-based problem solving to mirror industry challenges.
Strong Employability Support: Lancaster’s Careers Service offers guidance on CVs, applications, interviews, and professional development. Students in placement or industry-year tracks gain hands-on experience and valuable networks.
Versatile and High-Demand Skill Set: Graduates develop mathematical reasoning, statistical analysis, economics understanding, and operational research methods — skills highly valued in finance, consulting, tech, public policy, research, and business sectors.

Further Academic Progression:

After completing the MORSE BSc, students have multiple pathways:

Pursue a Master’s (MSc) in data science, statistics, econometrics, financial mathematics, operational research, applied economics, or other quantitative disciplines.
Undertake a PhD in economics, statistics, applied mathematics, operations research, or interdisciplinary quantitative fields for research or academic careers.
Enter the workforce immediately in highly skilled roles across business, finance, consulting, public policy, technology/data, and research.

Long-Term Value & Graduate Outcomes

A MORSE degree from Lancaster builds a multi-faceted analytical profile combining mathematics, statistics, economics, and decision-making tools. Graduates are highly versatile, able to move between business, finance, data science, research, consulting, or further study — making the degree relevant even as industries evolve.