The BSc (Hons) Data Analytics and Actuarial Science degree is delivered by Bayes Business School (formerly Cass), one of Europe’s leading business schools. Part of City, University of London, Bayes is ranked amongst the top 6 business schools in the UK*. Actuarial science involves the application of quantitative skills to problems in finance that normally involve risk or uncertainty, whilst data analytics involves using coding, data and the latest advances in information technology to solve real-world problems. If you are fascinated by both and have a passion and talent for mathematics, particularly modelling and probability, the Data Analytics and Actuarial Science degree might be the ideal course for you. Traditionally, actuaries have used data to solve problems in the financial risk area. However, the world of finance is being transformed by two major trends – the increase in the volume and types of data and the focus on risk management. This means some problems are now best solved using different data analysis techniques. This course prepares you for these new challenges. You will explore the traditional actuarial approach to risk management but you’ll also learn about some of the newest areas of data science, including artificial intelligence and machine learning, and their practical application to finance and insurance. Our in-depth teaching of the state-of-the-art Python and R programming languages – highly sought after in the global data science industry – is a flagship feature of this course. As well as developing your understanding of mathematics, probability, statistics, economics and IT, you’ll also look into probability modelling, data analysis and the financial markets. You’ll also be able to demonstrate your skills and your ability to communicate your findings in your final year project. As you would expect, the Data Analytics and Actuarial Science undergraduate course sets you up for a career in actuarial science. However, the course will also prepare you for a career in the wider fields of data analysis and risk management, or in investment management or financial analysis. Many of our lecturers are qualified actuaries and data analysts and have worked in the finance and IT sectors and continue to consult for corporate organisations, so you will benefit from their first-hand knowledge and business experience. As we place a high value on teaching both theory and application, you will emerge from your degree with a good understanding of how to use your newly acquired knowledge in the workplace. A key part of this degree is the opportunity to gain professional work experience or a period of study abroad. Students are eligible to apply for a one-year paid work placement during the third year of a four-year sandwich degree course. Students enjoy a wide range of opportunities in business areas such as insurance and risk management, actuarial investment pricing and capital management. Recent placements include: the Association of British Insurers, Aviva/Friends Life, Prudential and Legal & General. Students can alternatively apply to spend one year studying abroad during the third year of a four-year sandwich degree course. Students can apply to study at a business school at one of our prestigious partner universities, including the University of Waterloo, Canada; and the Chinese University of Hong Kong. Studying abroad enables students to expand their international network of contacts, develop a wider perspective in the worlds of actuarial science and finance and enhance their career prospects. If you wish to study the BSc (Hons) Data Analytics with Actuarial Science degree at Bayes, but do not satisfy the entry requirements, the Foundation course can provide students with an entry route onto the programme. *Financial Times European Business School Ranking 2020

Year one There are no electives in the first year. Core modules: — Applications of IT — Career planning — Financial and investment mathematics — Introduction to actuarial methods — Mathematics for actuarial science 1 — Probability and statistics 1 — Introduction to economics Year two In year two, the focus of the core modules moves from mathematics to data analytics, statistics, probability and actuarial science. Alongside the core modules, students are able to take two elective modules that are based in the areas of actuarial science and finance. Three of the elective modules on offer enable students to gain exemptions from the Institute and Faculty of Actuaries’ professional examination. However, as students only take two electives it means those taking the Data Analytics and Actuarial Science degree are only able to gain a maximum of five exemptions. Core modules: — Calculus and linear algebra — Fundamentals of finance — Probability and statistics 2 — Python, R and data structures — Python, R and databases — Stochastic models. Year three In the final year, four taught core modules allow students to develop an in-depth understanding of statistical and data analytics subjects, while a wide range of electives cover actuarial science, statistics, business and economics. Students also undertake a final-year project in an area relevant to their interests and ambitions. Students wishing to gain the maximum of five exemptions from the Institute and Faculty of Actuaries’ examinations must select three specific electives in the third year (Advanced contingencies, Advanced financial economics and Survival models). Core modules: — AI and machine learning — Data visualisation — Final-year project — Probabilistic modelling — Statistical modelling.

You will be assessed using a variety of methods, depending on module choices including: - Coursework - Unseen written examinations, taking place at the end of each term (or at the end of a year, if a module is taught over two terms) - Class tests - Online quizzes and tests, using the Virtual Learning Environment - Presentation - Group projects, individual projects. - Percentage of the course assessed by coursework The balance of assessment by examination, practical examination and assessment by coursework will to some extent depend on the optional modules you choose. The approximate percentage of the course assessment, based on 2019/20 entry is as follows: Year 1 65% written, 35% coursework Year 2 58% written, 42% coursework Year 3 43% written, 57% coursework."""

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: GG31

Institution code: C60

Campus Name: City, University of London

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Please click the following link to find out more about qualification requirements for this course

https://www.cass.city.ac.uk/study/undergraduate/courses/actuarial-science

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 74%

Employment after 15 months (Most common jobs): 70%

Go onto work and study: 85%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
EU	19500.0	Year 1
International	19500.0	Year 1

Additional Fee Information are not listed for this Course.

Northampton Square
Address2 are not listed for this Course.
Address3 are not listed for this Course.
City of London
EC1V 0HB