Hi, you are logged in as , if you are not , please click here
You are shopping as , if this is not your email, please click here

School Specific Events

conference and events

School Specific Events

Applied Machine Learning for Finance

Applied Machine Learning for Finance

Description

Delivered by Dr Jan Novotny - running from the 8th July 2025 to the 12th August 2025.

Course overview
This course offers an applied introduction to machine learning, focusing on real-world implementation in finance. The core objective is to demystify machine learning and equip you with the skills and understanding needed to analyse your own datasets independently. By the conclusion of the course, you will be able to integrate these analytical methods into your daily workflow, enhancing your data-driven decision making and problem-solving capabilities. Each session combines theory with practical exercises, ensuring you develop both conceptual understanding and implementation skills. Expect to spend one/two hours a week to practice the machine learning techniques covered in the sessions.

Benefits
■ You will be introduced to basic concepts of machine learning, which is the
scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead
■ You will learn how to include machine learning models into your daily workflow with practical examples
■ You will learn how to code machine learning algorithms independently
■ You will implement a number of different machine learning methods ranging from ordinary least squares, regularised linear regressions, decision trees and forest, boosting, to neutral networks, understanding when each is applicable

Course prerequisites
You are expected to have a basic knowledge of Python (being able to run 
simple commands preferably using the Jupyter Notebooks), and a basic knowledge of Mathematics and Statistics. 

Target audience
This course is particularly useful to both professionals and researchers working in fields where there is demand for quantitative data-based decisions.

Schedule: 
8th July 2025 to the 12th August 2025.

Fees:
£340 City St George's Students, Alumni and Staff
£476 External Students
£680 External Non-Student

Registration, payment and cancellation policy

Payment of course fees is required prior to the course start date. In case a course is cancelled, registered participants will receive the full refund.

Registration closes 7-calendar days prior to the start of the course. Please use your University email address if purchasing City St George's/Bayes students, Alumni, Staff or External students rate tickets.

A 15% discount is available for groups of three or more participants. Please email faculty.administration@citystgeorges.ac.uk before purchasing your tickets if you are a group of three or more people. 

Please use your University email address to receive the student rate. 

Read More
British Congress of Optometry & Visual Science 7/8 September 2015

British Congress of Optometry & Visual Science 7/8 September 2015

Description

Please register and pay for BCOVS below.  If you are a postgraduate research student then you will still need to “purchase” your registration below but it is FREE.  To confirm your status please ask your supervisor to e-mail Samantha.Kates.1@city.ac.uk.  The congress dinner will be a traditional Turkish feast held at Pasha, 301 Upper Street Islington.   Food and drink are included in the price.  If you are vegetarian please e-mail Sam on Samantha.Kates.1@city.ac.uk

Read More
Hanna's Orphanage Xmas Cards

Hanna's Orphanage Xmas Cards

Description

The Hanna’s Orphanage Christmas cards have arrived! The fantastic range of designs were created by some of the children at Hanna’s Orphan’s Home, as well as children from a local primary school affiliated with Cass Business School.

The perfect way to send your festive greetings and support Hanna’s Orphanage at the same time!

Each pack has a mixture of card designs. Free Postage and Packing.

Read More
Modelling and Forecasting Financial Markets

Modelling and Forecasting Financial Markets

Description

Delivered by Professor Giovanni Urga - running from the 23rd October 2025 to the 13th November 2025.

Course overview 

The course covers several theoretical and empirical topics in financial econometrics providing a comprehensive presentation of the econometric methods applied to finance. Topics include: forecasting and forecast evaluation, estimation methods such as GMM and MLE, univariate and multivariate GARCH models, and realised and stochastic volatility models, 
measurement techniques and tests for contagion, principal components and factor analysis, the use of Autometrics in model selection in presence of a large number of regressors. The theory is illustrated in practice modelling interest rates, asset prices and forex time series at several temporal frequencies.

See more information here: Courses and webinars | Bayes Business School (city.ac.uk)

Benefits
■ You will be introduced to the statistical analysis of time series, autoregressive–moving-average (ARMA) models, and forecasting evaluation criteria
■ You will learn theoretical and practical tools of univariate, multivariate GARCH volatility models
■ You will learn to identify and measure contagion between markets
■ You will be taught theoretical and practical tools of high frequency data and the impact of market announcements
■ You will practise on practical econometric and financial problems

Target audience
This course is particularly useful to professionals working in the financial  industry, consultancy firms, Central Banks, regulatory authorities, public and 
private research centres.

Course prerequisites
Participants are expected to have a quantitative background. Knowledge of the fundamentals of econometrics, derivatives, quantitative asset pricing theory will help participants to obtain the maximum benefit from the course.

Schedule: 
23rd October 2025 - 13th November 2025. 

Fees:
£240 City St George's Students, Alumni and Staff
£360 External Students
£480 External Non-Student

Registration, payment and cancellation policy

Payment of course fees is required prior to the course start date. In case a course is cancelled, registered participants will receive the full refund.

Registration closes 7-calendar days prior to the start of the course. Please use your University email address if purchasing City St George's/Bayes students, Alumni, Staff or External students rate tickets.

A 15% discount is available for groups of three or more participants. Please email faculty.administration@citystgeorges.ac.uk before purchasing your tickets if you are a group of three or more people. 

Please use your University email address to receive the student rate. 

Read More
Panel Data for Finance

Panel Data for Finance

Description

Delivered by Professor Giovanni Urga - running from the 2nd September 2025 to the 23rd September 2025.

Course overview: 

There is huge body of literature applying panel data techniques using stock market and banking data. In this course, we will 
present most important panel data techniques for stationary and nonstationary panels. We will discuss the importance of modellingheterogeneity and we will discuss static and dynamic models, introducing the crucial distinction between fixed and random effects. Practical applications using financial (stocks, interest rates) and banking (accounting) datasets will be delivered using Stata, which is the most comprehensive econometric software for dealing with panel data analysis.

Benefits:
■ You will learn how to handle and summarise panel datasets.
■ You will learn a large number of panel data techinques for stationary and nonstationary variables.
■ You will learn how to implement panel data analysis using econometric software.

Target audience: 

This course is particularly useful to professionals working in the financial industry, consultancy firms, Central Banks, regulatory authorities, public and private research centres.

Course prerequisites:

The course requires intermediate knowledge in statistics and econometrics for economics and finance. Knowledge of the fundamentals of financial stability and systemic risk will help participants to obtain the maximum benefit from the course. 

Schedule: 
2nd September 2025 - 23rd September 2025. 

Fees:
£240 City St George's Students, Alumni and Staff
£360 External Students
£480 External Non-Student

Registration, payment and cancellation policy

Payment of course fees is required prior to the course start date. In case a course is cancelled, registered participants will receive the full refund.

Registration closes 7-calendar days prior to the start of the course. Please use your University email address if purchasing City St George's/Bayes students, Alumni, Staff or External students rate tickets.

A 15% discount is available for groups of three or more participants. Please email faculty.administration@citystgeorges.ac.uk before purchasing your tickets if you are a group of three or more people. 

Please use your University email address to receive the student rate. 

Read More
Quantum Machine Learning for Finance

Quantum Machine Learning for Finance

Description

Delivered by Dr Jan Novotny - running from the 4th September 2025 to the 9th October 2025.

Course overview 

This course will introduce the new field of quantum machine learning with application in Finance. The objective is to equip the audience with the foundations of the quantum computations and the key quantum machine learning methods. The methods will be set within the standard machine learning workflow and applied on real financial dataset. The quantum algorithms will be run on real quantum computers. 

The course consists of six 2-hour long sessions, each of which introducing a new topic and deepening the knowledge gathered in the previous ones. You are expected to spend at least one hour of self-study per week to review and practice the techniques covered in the sessions.

Benefits

You will be introduced to concepts of the quantum computations and the key notion of qubit. You will see number of standard operations we can do with one or more qubits including things like quantum teleportation.

You will learn two machine learning methods: the quantum support vector machine, and quantum neural network. We will also review the elements of the machine learning. Subsequently, you will be guided to set the workflow such that the quantum machine learning methods can be included into your standard workflow. Target audience This course is particularly useful to both professionals and researchers working with machine learning techniques, who are keen to extend knowledge to the new quantum tools.

Course prerequisites

Delegates are expected to have basic knowledge of Python (being able to run simple commands preferably using the Jupyter Notebooks), and basic knowledge of Mathematics and Statistics. Any prior knowledge of Quantum Physics is not required.

Registration, payment and cancellation policy

Payment of course fees is required prior to the course start date.

In case a course is cancelled, registered participants will receive the full refund.

Registration closes 7-calendar days prior to the start of the course.

A 15% discount is available for groups of three or more participants.

Please email faculty.administration@citystgeorges.ac.uk before purchasing your tickets if you are a group of three or more people. 

Please use your University email address to receive the student rate. 

Read More
2023 Analyst conference

2023 Analyst conference

£300.00

Description

4th Analyst Research conference, 13th June 2023, Athens, Greece

Date: 13th June 2022

Venue: Acropolis area, central Athens, Greece

Format: Face-to-face with parallel sessions.

Theme: Current topics in analyst research

The Centre for Financial Analysis and Reporting Research (CeFARR) at Bayes Business School, City, University of London and the Department of Accounting and Finance of the University of Cyprus invite paper submissions for their conference on current topics in sell-side and buy-side analyst research.

This one-day conference brings together academics and finance professionals to create a dynamic environment to facilitate knowledge exchange between academia and practice. The conference will feature academic presentations and presentations by industry professionals. Each academic paper presentation will have a discussant, and all presentations will be followed by a Q&A session with the audience. Past conferences details are available at https://www.bayes.city.ac.uk/faculties-and-research/centres/cefarr

Location: Acropolis area, central Athens, Greece. Venue TBC
Read More
Logo

Boosting Resilience: Survival Skills for the New Normal - Overnight Accommodation for Residential 3

£85.00

Description

This booking page is for participants in Boosting Resilience: Survival Skills for the New Normal to make their payment for overnight accommodation at Residential 3. The programme will take place at the Birmingham Repertory Theatre, with accommodation at the nearby Holiday Inn Express Birmingham City Centre. All participants are expected to stay in the group accommodation to benefit from the full experience of the programme.

The accommodation fee is £85 and covers the cost of one night’s accommodation at the Holiday Inn Express Birmingham City Centre on Thursday 15 November 2018. Rooms will be assigned upon check-in at the hotel. If you require additional nights’ accommodation, you will need to contact the hotel directly to inquire about availability or book accommodation elsewhere on your own.

Participants who have received a bursary for travel and accommodation are not required to make a payment through this booking page. Details of their accommodation will be sent separately.

If you do not have a place on this programme, please do not use this form to make a payment, as this accommodation is reserved for programme participants, and you will not be refunded.
Read More
CITY

Careers Speed Recruitment - Holding Despoist

£15.00

Description

Required deposit to secure your place for Careers & Employability Speed Recruitment events. This is a refundable desposit that will be returned to you after attending the event. Failure to attend will result in loss of desposit.
Read More
Bayes Business School

Developing your Core Consulting Skills (Online)

£2100.00

Description

Deliver more value to clients and improve the performance of organisations and departments in this practical programme. Endorsed by the Institute of Consulting. This intensive three-day programme provides you with the core skills and capabilities that consultants need to deliver real value to clients. You will establish an understanding of the nature of consultancy and the role of the consultant and train in the main processes that a consultant needs to follow.
Read More
Bayes logo

Developing Your Core Consulting Skills

£2995.00

Description

Solving business problems is a core skill for today’s professionals. Consulting has also become a way to insulate your career from the uncertain volatility of today’s economic environment. Learn how to guide a client or your project team through a practical consultancy assignment using a case study with a series of focussed exercises based on a consultative sales and delivery process model. If you wish to take on an internal consulting role, make a career transition in your area of expertise or simply improve your skills and gain fresh insight into effective approaches, this programme is designed for you.
Read More
Bayes logo

Developing Your Core Consulting Skills (ONLINE - 15% Discount)

£1785.00

Description

Executive Education Open Programme - Developing your Core Consulting Skills
Read More
city, university of london - logo

Dummy Lenses for 01 and 02 Optometry Students

£30.00

Description

Purchase a set of dummy lenses to use in your Clinical Skills labs and for practice.
Read More
Bayes logo

Finance for Non-Financial Leaders (15% discount)

£2545.75

Description

Non-financial board members and senior management will be equipped with knowledge and understanding of finance, accounting, financial management and financial reporting. This programme will give you increased confidence and ability to understand financial information and enable you to communicate better with finance colleagues.
Read More
SMM278 Strategic Innovation in Hyper Competition - BOLOGNA

SMM278 Strategic Innovation in Hyper Competition - BOLOGNA

£100.00

Description

A £100 payment is required to secure your place on the Bologna elective.

After full attendance at the elective you will be given a refund of £50.
Read More
City logo

STEM Speed Recruitment Deposits

£10.00

Description

Students need to deposit £10 to confirm their place for the STEM Speed Recruitment event. This will be returned to you once you have attended the event.
Read More
Bayes logo

Branding and Advertising

£3595.00

Description

Executive Education Open Programme - Branding and Advertising
Read More
Bayes logo

New Venture Creation

£2000.00

Description

Executive Education Open Programme - New Venture Creation MBA Experience programme
Read More
CITY

Finance for Non-Financial Leaders (in-person)

£2995.00

Description

Non-financial board members and senior management will be equipped with knowledge and understanding of finance, accounting, financial management and financial reporting. This programme will give you increased confidence and ability to understand financial information and enable you to communicate better withfinance colleagues.
Read More
Bayes Logo

Leading AI and Industry 4.0

£1200.00

Description

Executive Education Open Programme - Leading AI and Industry 4.0 online programme
Read More
Longevity 20

Longevity 20 Others (Early Bird Registration Fee)

£480.00

Description

L20: The Twentieth International Longevity Risk and Capital Markets Solutions Conference

Monday 8th and Tuesday 9th September 2025

https://www.bayes.city.ac.uk/faculties-and-research/centres/pensions-institute/events/longevity-20

Read More
Longevity 20

Longevity 20 Academics (Early Registration Fee)

£240.00

Description

L20: The Twentieth International Longevity Risk and Capital Markets Solutions Conference.

Monday 8th and Tuesday 9th September 2025


https://www.bayes.city.ac.uk/faculties-and-research/centres/pensions-institute/events/longevity-20

Read More
Longevity 20

Longevity 20 Academics (Standard Registration Fee)

£385.00

Description

L20: The Twentieth International Longevity Risk and Capital Markets Solutions Conference

Monday 8th and Tuesday 9th September 2025

https://www.bayes.city.ac.uk/faculties-and-research/centres/pensions-institute/events/longevity-20

Read More
Longevity 20

Longevity 20 Others (Standard Registration Fee)

£770.00

Description

L20: The Twentieth International Longevity Risk and Capital Markets Solutions Conference

Monday 8th and Tuesday 9th September 2025


https://www.bayes.city.ac.uk/faculties-and-research/centres/pensions-institute/events/longevity-20

Read More
Bayes Business School Logo

2025 Accounting PhD Conference

FREE OF CHARGE

Description

2025 Conference for final-year accounting PhDs

University of Bristol Business School

17th October 2025

https://www.bayes.citystgeorges.ac.uk/faculties-and-research/centres/cefarr/2025-accounting-phd-conference

Read More
Bayes logo

Understanding the REIT price - October 13th, 2025

£2000.00

Description

Understanding the REIT price: An online programme dedicated to understanding the listed real estate market.
Read More
Bayes logo

Developing Your Core Consulting Skills (In Person - 15% Discount)

£2545.75

Description

Executive Education Open Programme - Developing your Core Consulting Skills, 15% discount applied.
Read More
Bayes logo

New Venture Creation - 15% Alumni Discount Applied

£1700.00

Description

Executive Education Open Programme - New Venture Creation MBA Experience programme, 15% discount for Bayes and City alumni.
Read More
Bayes logo

Understanding the REIT price - October 13th, 2025 (EPRA members)

£750.00

Description

Understanding the REIT price: An online programme dedicated to understanding the listed real estate market.
Read More