Core modules:
- Financial Mathematics
- Stochastic Processes and Finance
- The Statistician’s Toolkit
- Bayesian Statistics and Computational Methods
- Machine Learning
- Time Series
- Dissertation
Statistics Graduate Certificate
Postgraduate Certificate / Master's Degree
The total service fee for this program:
€ 499
Pre payment for this program:
€ 99
Due to the impossibility of foreign currency payments for users residing in Iran, if you are applying for study admission in this program, before pressing the ‘Apply NOW‘ button, contact the support through the Call button below and after To get your suitable solution, proceed to upload the required documents.
ABOUT
This course is based on MSc Statistics with additional training in the concepts, models and tools of modern mathematical finance.
Course description
The course trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.
It’s based on our Statistics MSc course, but also includes key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll also develop a detailed working knowledge of more general statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. The aim is to give you skills to include on your CV, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
Dissertation topics are often provided by external clients – for example, pharmaceutical companies or sports modelling organisations. Distance learning students often come with projects designed by their employer.
Modules
The content of our courses is reviewed annually to make sure it’s up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we’ll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
Duration
- 1 year full-time
- 2-3 years part-time by distance learning
Teaching
There are lectures, tutorials, computing sessions and group work. Most statistics lectures are recorded so you can watch them again later.
Distance learning option
This is taught online with support via email and an online forum. Distance learners also come to the University for residential weeks.
You’ll need to be in Sheffield for a few days between late May and early June each year for your exams. You’re expected to spend around 20 hours each week on your studies if you’re doing the two-year version of the course, and around 12 to 15 hours each week if you’re doing the three-year version.
Assessment
Some modules may be continuously assessed through ongoing project work with no examination but most taught modules are assessed by a mixture of examinations and coursework.
The assessment of the dissertation module is based entirely on your submitted dissertation.
Your career
This course is great preparation for roles in the finance sector such as banking, actuarial work, pensions and insurance.
This degree satisfies the eligibility criteria for the Royal Statistical Society’s Graduate Statistician award – a stepping-stone to full professional membership of the RSS and Chartered Statistician status.
Entry requirements
We ask for a 2:1 honours degree, or equivalent, with substantial mathematical and statistical components. In particular, you should have studied the following topics and performed well in assessments on them (for example, a score of at least 60 per cent).
- Mathematical Methods for Statistics: ideas and techniques from real analysis and linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms.
- Probability and Probability Distributions: the laws of probability and of conditional probability, the concepts of random variables and random vectors and their distributions, the methodology for calculating with them; laws of large numbers and central limit phenomena.
- Basic Statistics: statistical inference, rational decision-making under uncertainty, and how they may be applied in a wide range of practical circumstances; relevant software, for example, R.
- Real analysis and stochastic processes: limits of sequences and series, convergence tests, continuity and differentiability, stochastic processes and the Markov property.
If you are not sure whether you are qualified for this course, download these sample exam papers. You should be able to answer most questions with a small amount of revision.
- Sample exam paper in Mathematical Methods for Statistics
- Sample exam paper in Probability and Probability Distributions
- Sample exam paper in Basic Statistics
- Questions on real analysis, and probability and stochastic process (PDF, 110KB)
Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.
Fees and funding
- Home (2022 annual fee) : £11,500
- Overseas (2022 annual fee) : £23,250
The fee listed is for the advertised mode of study. If you’re studying for an alternative qualification or via a different mode of study (eg full-time, part-time) then the fee could be different. Due to inflation, the fee for Home students could also increase after your first year of study.
key dates
September start
|
Monday 29 August 2022 |
Last date to request a deferral to September 2023 entry. You can request a deferral via your online application. We’re not able to consider deferral requests for applications to courses using our staged admissions process. |
|
Friday 9 September 2022 (17:00 British Summer Time) |
Applications close for September 2022 entry |
|
Monday 17 October 2022 |
Last date to register for most courses |
FREE VISA SERVICE
One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request
Expenses (GBP)
Tuition (per year)
23250
GBP
Application Fee
0
GBP
Program expenses
Study Care Insurance Plus:
32
/monthly
Enrolment Fee (non-refundable):
260
/once
Deposit:
1000
/once
University & General Expenses
REQUIREMENTS
Minimum Level of Education
Min GPA (max=100)
80
IELTS
6.50
TOEFL iBT
88.00
PTE
61.00
accommodation
The international undergraduate and postgraduate students at this university can use different types of accommodation options and live in a safe and vibrant environment to focus entirely on their studies and get the best result, also the students can use the cafes and bars gyms, and other living facilities, on the other hand, they can have an accommodation tour and Sheffield city tour to become familiar with their living environment and make the most suitable decision, as we said, this university offers various accommodation options with different fees like £6,782.58 to £10,210.62 for a rental place in the city for undergraduate and postgraduate students, and they can choose to have a private or shared room.
After Graduation
The international students can work up to 20 hours in part-time jobs in the UK, however, they must refer to their visa to see whether they have study and work permits or not, we recommend you to focus only on your education to get the best results and be able to find the most suitable jobs in the UK or the global market right after graduation, on the other hand, if the international applicants need extra financial help to pay for their tuition fee, living, and study expenses, they can find part-time jobs under some conditions, also if the students find related jobs to their educational fields (with the help of the university), they will obtain more real experience and skills aside from the theoretical knowledge that they acquire during their study period.