Who is it for?
If you love mathematics, especially modelling and probability, and you are interested in the use of coding, data and IT to solve real-world problems, then you will find this course ideal for you.
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.
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.
As well as developing your understanding of mathematics, probability, statistics, economics and IT you’ll 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.
What will I learn?
- Develop your knowledge and understanding of data analytics, actuarial science, statistics, mathematics, finance and related disciplines.
- Develop your ability to communicate your knowledge and understanding effectively.
- Develop your understanding of the roles of mathematical and statistical calculation, analysis and judgement in financial risk management and actuarial science.
- Develop your ability to make reasoned judgements, frame appropriate questions and draw independent conclusions.
- Equip you with the skills required to work professionally in fields related to statistics, finance, risk management, actuarial science, and general management.
- Prepare you to enter postgraduate study in actuarial science or related disciplines.
Introduction to Actuarial Methods
This module is different to the other modules that you study as one of its main goals is to introduce you to the different areas that actuaries work in to allow you to start to contemplate which areas will be most suited to your strengths and interests. In addition, this module is partly assessed by a group presentation which is a skill you will require when applying for jobs.
Mathematics for Actuarial Science 1
This module will initially consolidate your mathematical knowledge to ensure all students have the same basic understanding no matter what their educational background. In the second term we will cover more advanced mathematical topics. The mathematics course is designed to give you the tools needed to solve the problems in the other modules.
Applications of Information Technology
This module is made up of three components. Initially you will use the program MiniTab which is a statistical package that provides more powerful statistical analysis than using a spreadsheet. The second component is using Excel Workbook functions and the final component is writing VBA code. Again, we assume no prior knowledge of programming and this module is designed to allow you to use Excel in you work at university and also provide a skill that is in high demand from employers.
Introduction to Economics
To be able to understand the possible changes in the financial world, students need to study economics. This module assumes no prior knowledge and will cover both micro and macro economics over the year. This module covers the CB2 course of the IFoA.
Probability and Statistics 1
The probability and statistics module will assume that students will arrive with no knowledge of probability or statistics. The module will start with basic concepts such as summary statistics and basic probability and will develop these concepts to more advanced topics such as confidence intervals, hypothesis testing, regression and probability distributions. This module forms part of the CS1 course of the IFoA.
Finance and Investment Mathematics
This module will focus on the concept of valuing future monetary payments in terms of present values to allow a comparison of different income streams which is critical in any financial decision making. In this module we will consider all payments to be guaranteed. We will also look at linking amounts to various inflation indices. This module covers part of the CM1 course of the IFoA.
Career Planning and Applications for Actuaries
The actuarial industry is keen to recruit students who are self-aware and have an understanding of their future careers aspirations. As such, this module raises awareness of your career options within and outside of the actuarial profession and covers presentation skills, interviews, CVs, cover letters and communication skills.
Calculus and Linear Algebra (Mathematics 2)
This module will cover more advanced techniques in calculus and linear algebra that will be used in your other modules on the degree.
Probability and Statistics 2
This module will continue your development in the areas of probability and statistics. In particular, we will be combining ideas from your first year mathematics module to allow more complex situations to be modelled. This module forms the second part of the CS1 of the IFoA.
This module will allow you to study ways to model uncertainty for a selection of probabilistic events. The techniques you learn here can be applied to a number of different situations and will be developed further in more advanced modules. This module covers part of the CS2 course of the IFoA.
Fundamentals of Finance
This module will introduce you to the various financial instruments and markets that exist allowing you to be able to develop solutions to financial risk questions. This module covers the first part of the CB1 course of the IFoA (the second part is covered in financial reporting).
Python, R and Data Structures
In this module you will be introduced to Python and R, two of the most popular languages in the area of data science, statistics, and visualisations.
Python, R and Databases
Develop and deepen your knowledge of Python and R and get an introduction to databases and SQL in this module which will strengthen your data analysis skills.
This module will provide a further continuation in your development in the areas of probability and statistics. In particular, we give you an introduction to several advanced statistical techniques as applied in the actuarial field. This module completes the CS1 course of the IFoA.
This module builds further on your knowledge of probability theory and stochastic modelling. It introduces some advanced models that are or can be applied in actuarial work. This module completes the CS2 course of the IFoA.
AI and Machine Learning
This module will introduce you to the rapidly evolving topics of AI and machine learning from an actuarial point of view, making use of your knowledge of the Python and R programming languages gained in Year 2.
This module introduces you to modern trends in the display of data. You’ll discover how to use appropriate packages to produce displays which are truly informative, clearly understandable, memorable and striking.
Final Year Project
Your dissertation is your chance to demonstrate your mastery of data analytical skills. During this vital and substantial part of your final year we encourage you to produce independent research and apply your critical skills to select the most appropriate methods of investigation and analysis. That knowledge, combined with your ability to make and present robust conclusions from your research findings, will also form the basis of discussions with prospective employers.
You will be assessed using a variety of methods, depending on module choices including:
- 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
- Group projects, individual projects.
Percentage of the course assessed by coursework
Most contact hours take the form of lectures. A number of tutorials, exercise classes and surgery hours are scheduled during the first year, the number decreasing as you progress and you become more able to direct your own learning.
Approximate study time based on 2019/20 entry is as follows
29% scheduled learning, 71% independent learning
22% scheduled learning, 78% independent learning
19% scheduled learning, 81% independent learning.
For a full breakdown of the current and forthcoming academic year view our term dates page.
Course timetables are normally available from July and can be accessed from our timetabling pages. These pages also provide timetables for the current academic year, though this information should be viewed as indicative and details may vary from year to year.
Please note that all academic timetables are subject to change.
How to apply
All applications should be made through UCAS, the Universities and Colleges Admissions Service. Applications are made via Apply, UCAS's online application system.
UCAS Institution code: C60 (Cass Business School and City, University of London)
UCAS Course code: G3G1
You can find more information at UCAS and in the UCAS Handbook.
Terms and conditions
Students applying to study at Cass Business School are subject to City, University of London's terms and conditions.
A Level: A (Maths) AA
If you are studying General Studies, Critical Thinking or a native language A-Level, these subjects will not be included in any offer condition.
For A-Level applicants we also require a minimum of grade 5 (C) in GCSE English.
BTEC/OCR Cambridge Technical Level 3 Extended Diploma: DDD plus A-Level Maths A*
For BTEC/OCR Cambridge Technical applicants we also require a minimum of grade 5 (C) in GCSE English.
For candidates taking a combination of A Level/BTEC/OCR Cambridge Technical qualifications we accept the following:
BTEC/OCR Cambridge Technical Level 3 National Diploma (grades DD) with A-Level Maths A*
BTEC/OCR Cambridge Technical Level 3 Subsidiary Diploma/National Extended Certificate (grade D) with two A-levels (including A-Level Maths A* and a second A-Level grade A)
For combination BTEC/OCR/A-Level applicants we also require a minimum of grade 5 (C) in GCSE English.
IB: 35 points overall (can include up to three bonus points) with 5 minimum in each subject. Please note that for applicants studying the new Maths curriculum we are happy to accept both Maths Analysis & Approaches and Maths Applications & Interpretation.
Access to Higher Education: Pass the course with 45 level 3 credits including minimum 30 distinction credits and the remaining 15 credits at merit or above, plus A-Level Maths A*.
For Access applicants we also require a minimum of grade 5 (C) in GCSE English.
Foundation course for UK/EU students
If you do not meet the qualification criteria for this course, you may still meet the criteria for our Actuarial Science Foundation course. The Foundation course is a one-year full-time programme that provides an entry route to the BSc Actuarial Science course.
We accept a wide range of international and other UK qualifications at Cass.
If you do not qualify for direct entry, there are several partners that offer preparatory international foundation courses for students seeking entry to undergraduate degrees. These include:
Foundation courses for International students
INTO City, University of London
Don’t meet the entry requirements? INTO City, University of London offers a range of academic and English language programmes to help prepare you for study at City, University of London. You’ll learn from experienced teachers in a dedicated international study centre.
These programmes are designed for international students who do not meet the required academic and English language requirements for direct entry. To prepare for this degree course, learn more about the International Foundation in Actuarial Science and the International Foundation in Engineering and Mathematics.
Kaplan International College (KIC) London
Additionally, City works in partnership with KIC London to provide a range of preparatory courses for international students. KIC London courses offer comprehensive support to students - including regular one-to-one tuition. Students who successfully complete the KIC London Foundation course at the required level are guaranteed progression to City, University of London degree courses.
English language requirements
Information for international applicants
For international applicants requiring a Tier 4 student visa we accept any of the below English language proficiency qualifications at the grades listed:
- Language Cert International ESOL: Language Cert B2 Communicator High Pass
- IELTS (Academic or UKVI): 6.5 overall with no less than 6.0 in any sub test
- TOEFL (Test centre or iBT Special Home Edition): 92 overall (24 Writing, 23 Reading, 22 Speaking, 21 Listening)
- Pearson Test of English (PTE) Academic: 59 overall with minimum of 59 in each sub test
- IGCSE: English as a First Language (Syllabus 0500 & 0522) or English as Second Language (Syllabus 0510 & 0511) at Grade B or above
- International Baccalaureate: Grade 5 at Higher or Standard level
- Trinity College (Integrated Skills): ISE III – pass in each area
- INTO City Pre-sessional English: 6.5 overall with no less than 6.0 in any sub test (NB. Must be the 6 or 8 week Cass-specific course)
- Cambridge English Advanced (also known as Certificate in Advanced English): Grade C (180-192) at CEFR Level C1
- Cambridge English Proficiency (also known as Certificate of Proficiency in English): Grade C (200-212) at CEFR Level C2
- Hong Kong Diploma of Secondary Education (HKDSE): English Language Examination grade 4 or above
An exception to the above criteria applies to Tier 4 applicants from the below majority English-speaking countries for whom we can accept a wider range of English qualifications:
- Antigua and Barbuda
- The Bahamas
- New Zealand
- St Kitts and Nevis
- St Lucia
- St Vincent and the Grenadines
- Trinidad and Tobago
- United Kingdom
- United States of America
Don’t meet the English language requirements? INTO City, University of London offers English language programmes to help prepare you for study at university. These intensive and flexible courses are designed to improve your English ability for entry to degree courses.
Information for home and EU applicants
In addition to the above English language proficiency qualifications accepted for International applicants, as a Home or EU applicant we can also accept any of the below English qualifications:
- GCSE: Grade C or 5
- O-Level: Grade C
- A-Level: Grade C
- Cambridge English First (also known as Certificate of First in English): Grade A (180-190) at CEFR Level C1
Cass Business School gives you the opportunity to spend a year studying at one of our partner institutions, which are located around the world including Canada, Australia and Europe.
*Please note that the partner universities available is dependent on the study abroad programme you apply for and on your degree. The list of partner universities is also subject to change.
You can spend a year of your degree course studying at one of our partner institutions, between your second and final year of study. This would add a year to your degree so you would complete your degree in four years.
All the above listed partner universities are available to this degree, however if you wish to take Actuarial Science modules abroad you will need to apply to University of Waterloo, Canada.
Student Exchange Team
Our dedicated Student Exchange Team are available to offer advice to students who wish to explore their study abroad options. They will also support students throughout the application process and during their study abroad year or term. To contact them, email: email@example.com.
Work Placements at Cass
The practical experience of a professional placement, (typically 9-12 months duration) in addition to strong academic achievement, gives graduates a distinctive edge in the job market. Find out more about Work Placements and Summer Internships at Cass.
The opportunity to gain professional work experience is a key part of a Cass degree. As a BSc Data Analytics and Actuarial Science student you are eligible to undertake a one-year paid work placement during the third year of a four-year sandwich degree programme.
The experience of working for a leading institution gives you practical experience that can be invaluable in terms of your future career. It will enable you to increase your confidence and maturity, expand your network of contacts, and acquire the skills and competencies sought by graduate employers. Together that gives you a competitive edge in the graduate market.
The BSc Data Analytics and Actuarial Science and BSc Finance with Actuarial Science pathways are new for 2019/2020. As a guide, past placements students from the BSc Actuarial Science have mainly found actuarial placements, and some finance placements, in organisations including banks, insurers, re-insurers and risk management specialists.
We’re proud of the close relationships we’ve built with a diverse range of companies who recognise our reputation, achievements and the success of our graduates, and know that Cass students can add significant value to their workforce. Our dedicated Placement team are in regular contact with these companies and many more. We can’t guarantee work placements, but they will support you to find a placement and ensure you are work ready.
This additional year is a recognised part of the degree programme and will be endorsed on your final degree certificate, although it is not credited and will not count towards your degree classification.
Support from the Placements Team
A dedicated placements team will support you through the placements process. The team advertise a number of work placement and summer internships annually, and invite businesses to Cass to meet with you and discuss the roles available. The team offers 1-2-1 advice on CV's and covering letters, as well as organising workshops to help you enhance your skills and competencies with applications and interviews. Also the team support students throughout your placement year including offering advice, guidance and monitoring your progress.
The Micro-Placements Programme provides you with an opportunity to take on exciting projects and gain real life experience without adding an extra year to your studies. You can enhance your core employability skills and explore different career options.
Micro-Placements don’t need a lengthy commitment. They are between 2 and 5 weeks long and can be full-time or part-time according to your schedule. They take place in the summer break between June and August, an ideal time to gain work experience as it will not interfere with your studies.
* The fee for this course in 2021/22 is £9,250 for each year of study.
EU and Non-EU international students
** In 2021/22 the fee is £19,500 for the first year of study. The institution reserves the right to increase your tuition fees annually to take account of the institution's increased costs of delivering educational services. The increase will normally be 2% but this is kept under review with reference to the RPI. If the institution intends to increase your tuition fees you will be advised of this alongside the published entry fee.
This degree prepares you for a career in data analytics, risk management, actuarial science or financial analysis.
You’ll also have data science analysis and communication skills invaluable for a career in general management. Find out the types of positions our graduates have gone on to work in here.
In order to qualify as an actuary, you will be required to pass the professional examinations of the Institute and Faculty of Actuaries. Specific modules in all three years of the BSc Data Analytics and Actuarial Science degree give you the opportunity to earn exemptions from five of the seven core principles stage subjects.