MSc Quantitative Finance and Mathematics

Dominic Breit

Programme Director:  Dr Dominic Breit

Programme Code: F1FM-QFM

For further information about course choices consult:

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Semester 1 Timetable                                         Semester 2 Timetable

Programme Structure

Semester 1 (Mandatory)Semester 2 (Mandatory)
F11MT Modelling and Tools F11DA Data Assimilation
F71DV Derivative Markets and Pricing Semester 2 (Optional Choose 3)
Semester 1 (Optional Choose 2)F11ND Numerical Analysis (PDEs)
F11FM Functional AnalysisF11SS Stochastic Simulation
F11MM  Optimization F71AP Advanced Derivative Pricing
F21ML Statistical Machine LearningF71AR Applied Risk Management
F71QR Quantitative Risk Analysis F71CM Credit Risk Modelling
F71SM Statistical MethodsF71DA Data Analytics and Time Series Analysis
C31FM Financial MarketsF71PT Portfolio Theory
F79BI Bayesian Inference and Computational Methods

Semester 3:
F11HM Masters Project 

Composition: 
8 taught courses (3 mandatory + 5 optional) plus a dissertation

Awards, Credits & Level
180 SCQF Credits including a minimum of 150 SCQF credits at Level 11
120 SCQF Credits including a minimum of 90 SCQF credits at Level 11
60 SCQF Credits including a minimum of 40 SCQF credits at Level 11

Applications to the Jack Carr Fund 2021-22

The Jack Carr Fund is currently inviting applications for a limited number of small grants not expected to exceed £500. Larger grants may be awarded in special cases. The scheme is open to Heriot-Watt University undergraduate and postgraduate students currently registered in Edinburgh for a degree normally in the mathematical sciences. Postdoctorates in MACS may also apply.

Applications should be submitted to June Maxwell j.maxwell@hw.ac.uk by the closing dates of June 22 2021, October 8 2021, and March 3 2022.

Examples of what might qualify for an award include:

  1. Academic study (excluding costs of student exchange visits and class trips.)
  2. Extra-curricular study in the mathematical sciences including participation in workshops, and short study visits in the UK and elsewhere.
  3. Care and caring costs.
  4. Musical activity.

If you wish to apply to the fund, please download the Jack Carr Fund Application Guide, which includes the application procedure and other conditions, and then complete the Jack Carr Fund Application Form.

Code Clinic (Edinburgh CS)

The Edinburgh Code Clinic will be running online this semester on Microsoft Teams. Exact slots (on Teams or face-to-face) are still to be fixed, but we expect 2 per week, starting in Week 3, and aligned with Year 1 and 2 timetables.

Teams Link: CodeClinic

The Code Clinic is a drop-in session to ask questions about coding in general. There will be a lab helper to answer the questions, and you can share code snippets to get help.

Code Clinic get help with programming questions slots to be scheduled from week 3.

MSc Mathematics

Mariya Ptashnyk

Programme Director:  Dr Mariya Ptashnyk

Programme Code: F1MM-MAT

For further information about course choices consult:

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Semester 1 Timetable                                         Semester 2 Timetable

Programme Structure

Semester 1 (Mandatory)Semester 2 (Mandatory)
F11MT Modelling and Tools F11MP Partial Differential Equations
F11FM Functional Analysis
Semester 1 (Optional Choose 2)Semester 2 (Optional Choose 3)
F11AE Applied Mathematics E F11AN Mathematical Biology and Medicine
F11AM Mathematical Ecology F11DA Data Assimilation
F11MM Optimisation
F11ND Numerical Analysis (PDEs)
F11NC Numerical Analysis ODEs F11PF Pure Mathematics F
F11PE Pure Mathematics E F11PG Geometry
F11SS Stochastic Simulation

Semester 3:
F11GM MSc Dissertation

Or other suitable course(s) at level 11

Awards, Credits & Level
180 SCQF credits for MSc; incl 180 credits at Level 11
120 SCQF credits for PG Dip; inc 120 credits at Level 11
60 SCQF credits for PG Cert; incl 60 credits at Level 11

Graduate Diploma/Certificate in Mathematical Sciences

Nick Gilbert

Programme Director: Nick Gilbert

Programme Code: F1G5-MAS

For further information about course choices consult:

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Semester 1 Timetable                                         Semester 2 Timetable

Programme Pathways

You may take the Graduate Certificate either as a qualification in its own right as a graduating student or as a pathway on to a PGDip or MSc programme as a non-graduating student.  Graduating students may also take the Graduate Diploma by choosing courses at a higher level.  Non-graduating students have more flexibility in their course choices, and can opt for some lower-level courses.  The Programme Director will advise students on appropriate choices for their pathways.

Graduate Diploma

You need to take 8 courses at level 9 or 10, and pass all of them at grade D or better.

Graduate Certificate

You need to take at least 6 courses, with at least 4 at level 9 or higher, pass them all at grade E or better, and with an overall average of at least 40%.

Non-graduating pathways

You may choose to follow a non-graduating pathway within the Graduate Certificate programme, either to develop your mathematical qualifications and experience, or as entry route to a PGDip or MSc programme.  Some typical pathways are given below: your choice of pathway and your course choices must be approved by the Programme Director.   All pathways require the study of at least six courses, and you may study up to eight: the same tuition fee applies.

  • Pathway on to the Actuarial Science PGDip/MSc

You must study at least six courses.

Mandatory Courses:

CodeSemesterCourse titleLevel
F77SA 1Introduction to Statistical Science A7
F78PA1Probability and Statistics A8
F77SB2Introduction to Statistical Science B7
F78PB2Probability and Statistics B8

Optional Courses:

CodeSemesterTitleLevel
F17CA1Calculus A7
F18CD1Multivariable Calculus & Real Analysis A8
F18CF1Linear Algebra8
F18AA1Applied Mathematics A8
F17CB2Calculus B7
F18CE2Multivariable Calculus & Real Analysis B8
F18NA2Numerical Analysis A8
F18PA2Pure Mathematics A8
  • Pathway on to PGDip/MSc programmes in Mathematics

You must study at least six courses.

Compulsory Courses

CodeSemesterTitleLevel
F18CF1Linear Algebra8
F18NA2Numerical Analysis A8
F19MO2Ordinary Differential Equations8

Optional Courses:

CodeSemesterTitleLevel
F18CD1Multivariable Calculus & Real Analysis A8
F18AA1Applied Mathematics A8
F78PA1Probability and Statistics A8
F19MV1Vector Analysis9
F18CE2Multivariable Calculus & Real Analysis B8
F78PB2Probability and Statistics B8
F19MC2Complex Analysis9
F18NA2Numerical Analysis A8
F19AB2Applied Mathematics B9

Composition:
Grad Cert 6 taught courses (all optional) Grad Dip 8 taught courses (all optional)

Awards, Credits & Level

  • 90 SCQF credits for Grad Cert; incl 60 credits at Level 9 or above
  • 120 SCQF credits for Grad Dip; with all credits at Level 9 or above

BSc Mathematics with Finance

Andy White

This programme is available in Edinburgh.

Programme Director Prof Andy White

Programme Code: F1B1-MWF

For further information about course choices consult:

An optional course may not run if there is insufficient demand for it; some choices of courses may not be available to students in some years because of timetabling constraints.


Mark Lawson

Year 1

Year 1 Year Co-ordinator: Prof Mark Lawson

  • General information for 1st Year mathematics students: click here

Semester 1 Timetable
Semester 2 Timetable

Semester 1 (Mandatory)Semester 2 (Mandatory)

Year 2

Year 2 Year Co-ordinator: Dr Thomas Wong

Semester 1 Timetable
Semester 2 Timetable

Semester 1 (Mandatory)Semester 2 (Mandatory)
Semester 1 (Optional choose 1)  

Year 3

Year 3 Year Co-ordinator: Dr Alexandre Martin

Semester 1 Timetable
Semester 2 Timetable

Semester 1 (Mandatory)Semester 2 (Mandatory)
Semester 1 (Optional choose 1)  Semester 2 (Optional choose 1)  

Laura Ciobanu

Year 4

Year 4 Year Co-ordinator: Dr Laura Ciobanu

  • For an overview of what is in the 4th year courses, click on the Brief Descriptions PDF.
  • Some options run subject to demand.

Semester 1 Timetable
Semester 2 Timetable

8 courses: 3 mandatory and 5 optional

Semester 1 (Mandatory)Semester 2 (Mandatory)
Semester 1 (Optional choose 3)   Semester 2 (Optional choose 2)  

Tier 4 Student Attendance Recording

All students who are sponsored under the UKVI Tier 4 student visa scheme are required to check-in using the SafeZone Smartphone App

Please do the following:

  • Download the SafeZone app to their smartphone, it is available here: https://www.hw.ac.uk/services/safety-security/safezone.htm
  • Register on the app using their Heriot-Watt email address (not a personal email address)
  • For at least one academic session in every ‘working week’, check-in when they arrive and check-out when they leave.
  • Check their Heriot-Watt email account frequently for updates and information

The University sends out emails to Tier 4 students each week to tell them if they recorded their attendance correctly during the previous working week.

If a Tier 4 student is contacted by their school/student/PGR office, or Director of Governance & Legal Services about poor attendance, this must be taken seriously and treated as a very urgent matter.

Tier 4 attendance recording with SafeZone is a flexible, convenient and discreet way for Tier 4 students to log their attendance each week. It is an important part of the Tier 4 student visa conditions, and checking-in each week demonstrates to UKVI that a person is a genuine student and engaged with their studies at Heriot-Watt University.

Any Tier 4 student that has a genuine reason why they cannot use SafeZone for Tier 4 attendance purposes should raise this with their school office immediately