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BSc Mathematics with Finance / Course details

Year of entry: 2021

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Course description

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First Year BSc Mathematics with Scarlett and Hana
This joint-honours degree programme is aimed at mathematics students with a particular interest in financial systems. It includes the same course units in financial mathematics as Mathematics with Financial Mathematics (UCAS code G1NH), but has a greater component of Accounting and Finance. This provides a foundation in finance including the study of international financial markets and multinational corporate finance. Topics presently covered include Financial Reporting and Investment Analysis. You study Mathematics and Finance in the ratio 3:1. A core of basic mathematics provides you with the fundamental mathematical knowledge and skills, and the basis for more advanced work later on. The core material is covered in the first three semesters, up to the mid-point of your second year. You develop your capacity to learn and apply mathematical ideas, to understand the significance and power of mathematics, and to acquire a thorough knowledge and understanding of those mathematical topics that any employer would expect of a mathematics graduate. After your first three semesters, you chose your lecture courses from a widening range of options in order that you can pursue whichever areas of mathematics most interest you.  You can also choose to do a final year project on a mathematical topic supervised by a member of staff.

Special features

  • Small group teaching is a significant part of the first year.
  • A wide range of options is available in the third year.
  • All undergraduate students have affiliate membership of the Institute of Mathematics and its Applications.
  • Students have an opportunity to spend a year on a work based placement. This gives an opportunity to gain invaluable work based experience and learn more about themselves and the workplace so that they are better able to make good choices about a career post-graduation. Many students who have a year placement are taken on by the same employer once they have finished their studies. The placement happens after two years study, with the student returning after their placement year to take their third year here.  Whilst students wanting to take the work based placement are responsible for finding their own placement, they will be supported in this through a special programme set up to help them. This will be done by working closely with dedicated advisers from the Careers Service and support and mentoring within the Department. 

Teaching and learning

At Manchester you will be taught by academic staff who are leading experts in Mathematics in a diverse and inclusive learning environment. Teaching and Learning will be delivered using a variety of methods, including:

  • Live lectures and online videos
  • Small group tutorial classes
  • Computer-based sessions
  • PASS sessions and peer mentoring 

Some activities will be delivered face-to-face and others online, following a blended learning approach.

Our mathematics degrees offer both in-depth analysis of mathematical concepts and methods as well as applications to many diverse areas such as the motion of fluids, modelling of financial products or modelling epidemics, mostly using differential equations and data analysis. 

The first year of the programme consists of compulsory course units which provide the background needed for later courses. During the second year you begin to choose which aspects of mathematics you wish to pursue, and includes a group project on a choice of topics. In Year 3 you have an option of taking an individual project in an area that suits your interests in addition to choosing from a wide range of options. 

Each year builds on your mathematical skills and understanding, giving you the knowledge and confidence towards becoming a graduate mathematician.

A typical week in your first year of study will comprise about 36 hours of activity, of which approximately half will be led by the lecturer, including watching tailor-made videos, and attending tutorials, lectures and review classes, and the remaining half will be independent or self-directed study, including studying the material, reading lecture notes and working through example sheets. 

As you progress through the course an increasing emphasis will be placed on independent study, and this reflects you applying your knowledge and skills in more advanced courses, and in both group and possibly individual projects. You will be supported by staff through all of your independent study, and this transition to being able to work independently is an important attribute of a Mathematics graduate.

PASS (Peer Assisted Study Sessions) and Peer Mentoring

We're proud of our innovative PASS (Peer Assisted Study Sessions) and Peer Mentoring scheme. The PASS scheme provides additional support around the current week's tutorial. It's entirely voluntary and consists of second, third and fourth-year current students helping first years to tackle problems defined by the content of the current tutorial. The emphasis is on showing students how to think about the problems, how to develop problem-solving skills and how to get the most from the educational resources available.  

More about blended learning

Some of your activity will be synchronous, where you learn live with your lecturer / peers and can interact as appropriate, helping you get support and feel part of a community. At other times it will be asynchronous, where you access materials like presentations, video content, online discussion boards or collaborative documents in your own time (within a framework provided by your programme).

We believe this blended approach will help each individual study in a way that works best for them and will ensure students receive the best student-experience.

Coursework and assessment

The course is assessed by a variety of methods, each appropriate to the topic being assessed. These methods include coursework exercises, written examinations, online examinations, presentations and practical demonstrations. Some course units (such as the projects) are examined entirely by your submitted work during the semester.  You will also have many opportunities to self-assess your progress using online quizzes and tutorial exercises. The class of your degree is normally based on only your last two years' work.

Course content for year 1

Course units for year 1

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Financial Decision Making BMAN10522 10 Mandatory
Fundamentals of Financial Reporting B BMAN10621B 10 Mandatory
Mathematical Workshop MATH10001 10 Mandatory
Foundations of Pure Mathematics B MATH10111 15 Mandatory
Calculus and Vectors B MATH10131 15 Mandatory
Probability 1 MATH10141 10 Mandatory
Linear Algebra B MATH10212 15 Mandatory
Calculus and Applications B MATH10232 15 Mandatory
Sequences and Series MATH10242 10 Mandatory
Introduction to Statistics MATH10282 10 Mandatory

Course content for year 2

Course units for year 2

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Investment Analysis BMAN20072 10 Mandatory
Foundations of Finance A BMAN23000 20 Mandatory
Foundations of Finance A BMAN23000A 20 Mandatory
Real Analysis A MATH20101 10 Mandatory
Algebraic Structures 1 MATH20201 10 Mandatory
Partial Differential Equations and Vector Calculus B MATH20411 10 Mandatory
Probability 2 MATH20701 10 Mandatory
Statistical Methods MATH20802 10 Mandatory
Introduction to Financial Mathematics MATH20912 10 Mandatory
Programming with Python MATH20621 10 Optional
Random Models MATH20712 10 Optional
Foundations of Modern Probability MATH20722 10 Optional
Leadership of Learning - with Teaching Placement UCIL20001 10 Optional
Leadership in Action Online Unit UCIL20031 10 Optional
Creating a Sustainable World: 21st Century Challenges and the Sustainable Development Goals UCIL20311 10 Optional
From Cholera to COVID-19: A Global History of Epidemics UCIL20331 10 Optional
Leadership of Learning - with Teaching Placement UCIL21002 10 Optional
Communicating with Confidence UCIL21301 10 Optional
Communicating with Confidence UCIL21302 10 Optional
Developing an Entrepreneurial Mindset UCIL21331 10 Optional
Displaying 10 of 20 course units for year 2

Course content for year 3

Course units for year 3

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Financial Derivatives BMAN30091 10 Mandatory
Advanced Corporate Finance BMAN30111 20 Mandatory
Martingales with Applications to Finance MATH37002 10 Mandatory
Mathematical Modelling in Finance MATH39032 10 Mandatory
Financial Statement Analysis BMAN20081 10 Optional
Share Prices and Accounting Information BMAN30071 10 Optional
Financial Engineering BMAN30242 10 Optional
Corporate Contracting and Managerial Behaviour BMAN30702 10 Optional
Double Project MATH30000 20 Optional
Mathematics Education MATH30002 10 Optional
Project (Semester One) MATH30011 10 Optional
Project (Semester 2) MATH30022 10 Optional
Fractal Geometry MATH31042 10 Optional
Topology MATH31052 10 Optional
Group Theory MATH32001 10 Optional
Coding Theory MATH32032 10 Optional
Hyperbolic Geometry MATH32051 10 Optional
Algebraic Geometry MATH32062 10 Optional
Number Theory MATH32072 10 Optional
Combinatorics and Graph Theory MATH32091 10 Optional
Mathematical Logic MATH33011 10 Optional
Complex Analysis and Applications MATH34001 20 Optional
Green's Functions, Integral Equations and Applications MATH34032 10 Optional
Viscous Fluid Flow MATH35001 10 Optional
Wave Motion MATH35012 10 Optional
Elasticity MATH35021 10 Optional
Mathematical Biology MATH35032 10 Optional
Symmetry in Geometry and Nature MATH35082 10 Optional
Matrix Analysis MATH36001 10 Optional
Numerical Analysis 2 MATH36022 10 Optional
Markov Processes MATH37012 10 Optional
Statistical Inference MATH38001 10 Optional
Time Series Analysis MATH38032 10 Optional
Medical Statistics MATH38072 10 Optional
Regression Analysis MATH38141 10 Optional
Multivariate Statistics and Machine Learning MATH38161 10 Optional
Generalised Linear Models MATH38172 10 Optional
Advanced Technology Enterprise MCEL30011 10 Optional
Advanced Technology Enterprise MCEL30012 10 Optional
Interdisciplinary Sustainable Development MCEL30022 10 Optional
Leadership in Action Unit UCIL20022 10 Optional
Leadership in Action Online Unit UCIL20031 10 Optional
Leadership in Action Online Unit UCIL20032 10 Optional
Displaying 10 of 43 course units for year 3

Scholarships and bursaries

The Department of Mathematics offers scholarships for academically excellent students from the UK and around the world; contact the Department for more details.

Facilities

The Department of Mathematics is based in the brand new, purpose built £40 million Alan Turing Building, set at the heart of the University Campus.  Students benefit from extensive facilities for computing and study, relaxation and refreshment, in an attractive, light and comfortable environment.  Computing: The Department of Mathematics has a number of computer clusters that run the standard software as well as powerful mathematical and statistical software, such as Matlab, Minitab and Mathematica.  All our students have free access to email and the internet.  Other larger clusters are available in the University libraries and clusters are situated in most Halls of Residence; most student rooms also have Ethernet connection.  Library: You will have access to the John Rylands University Library of Manchester, one of the largest and best-equipped libraries in the UK.  A special section of this library provides a short loan facility, where you can reliably obtain textbooks that are recommended for particular courses and borrow them on an overnight basis.  The Department of Mathematics also houses a mathematical library of more advanced books and other material used mainly by research students and staff.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk