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Data Analytics and Actuarial Science (with Professional Placement)

Entry requirements


A level

A,A,A

We accept all foreign language A Level subjects, and such subjects are considered for entry even if it is the applicant’s native language. Must include A Level Maths grade A. Excludes General Studies and Critical Thinking. Please note GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

Access to HE Diploma

D:30,M:15

Please note this qualification is only accepted for entry onto this course whereby an applicant also holds A Level Maths grade A. Additionally GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

Cambridge International Pre-U Certificate - Principal

D3,D3,D3

Must include Pre-U Maths grade D3 or above. . Additionally GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

International Baccalaureate Diploma Programme

35

Must include grade 6 in Higher Level Mathematics and either grade 4 in Higher Level or grade 5 in Standard Level English, or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

Pearson BTEC Level 3 National Diploma (first teaching from September 2016)

DD

Please note this qualification is only accepted for entry onto this course whereby an applicant also holds A Level Maths grade A. Additionally GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DDD

Please note this qualification is only accepted for entry onto this course whereby an applicant also holds A Level Maths grade A. Additionally GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

Scottish Higher

A,A,A,A,B

Must include Maths grade A at Advanced Higher Level. Please note this should include a minimum two subjects at Advanced Higher (grades AAA) and a minimum three other subjects at Higher (grades AAB). Additionally English at either level or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

T Level

D

Please note this qualification is only accepted for entry onto this course whereby an applicant also holds A Level Maths grade A. Additionally GCSE English Language grade 4/grade C or other English language proficiency qualification required (For more information on English qualifications please refer to http://www.city.ac.uk/study/undergraduate/applying-to-city/tier-4-english-language-requirements).

UCAS Tariff

144-159

We've calculated how many Ucas points you'll need for this course.

About this course


Course option

4years

Sandwich including industrial placement | 2024

Subjects

Actuarial science

Data management

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.
This degree can provide up to five exemptions from the Institute and Faculty of Actuaries’ examinations.

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.

All Bayes undergraduate students will also choose from a range of professional experience modules so that when you graduate you are equipped with the knowledge and experience to make you an attractive candidate to employers. You will also take a career-focused module suitable for your chosen course to help you prepare for entering the job market.

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.

*Financial Times European Business School Ranking 2022

Modules

Year one:

There are no electives in the first year.

Core modules:
- Introduction to actuarial methods and career planning
- Mathematics for actuarial science
- Probability and statistics 1
- Finance and investment mathematics
- Introduction to economics
- Introduction to Excel and statistical packages
- Introduction to VBA for Excel

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 (mathematics 2)
- Fundamentals of finance
- Probability and statistics 2
- Python, R and data structures
- Python, R and databases
- Stochastic modelling

Year three:
You will spend the third year on placement gaining valuable experience, developing your skills and creating a network in the industry.

Year four:
You will return to Bayes for your final year and be taught four 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 final year (Advanced contingencies, Advanced financial economics and Survival models).

Core modules:
- AI and machine learning
- Data visualisation
- Final-year project
- Probabilistic modelling
- Statistical modelling.

Modules are subject to change.

Assessment methods

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 is as follows:

Year 1
65% written, 35% coursework

Year 2
58% written, 42% coursework

Year 3
43% written, 57% coursework.

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£24,500
per year
International
£24,500
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

Extra funding

As a global institution, Bayes Business School aims to foster greater racial diversity in business. Therefore Bayes has launched a new scholarship for undergraduate black British students. We are offering ten scholarships for Black UK-domiciled undergraduate students from lower than average income households. Each scholarship covers the full tuition fee (at home-fee level) and a £6,000 annual stipend for three years. Scholarship holders will also be offered mentoring and support.

The Bayes International Scholarship is awarded to students who achieve exceptional grades. The scholarship will be awarded as a discount in the fee amount due in the first year of their study only.

City, University of London also offers scholarships for UK students who achieve exceptional grades. The scholarship will likely be awarded as a discount in the fee amount due in the first year of their study only.

Please visit www.bayes.city.ac.uk/study/undergraduate/application-and-funding/scholarships for further information about scholarships including eligibility criteria. Eligibility criteria for students starting their studies in September 2024 will be updated in September 2023. Conditions are subject to annual change.

The Uni


Course location:

City, University of London

Department:

Bayes Business School (formerly Cass)

Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

80%
Actuarial science

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Finance

Teaching and learning

76%
Staff make the subject interesting
86%
Staff are good at explaining things
85%
Ideas and concepts are explored in-depth
82%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

85%
Library resources
89%
IT resources
88%
Course specific equipment and facilities
73%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

48%
UK students
52%
International students
55%
Male students
45%
Female students
87%
2:1 or above
12%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
A

Information systems

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

84%
UK students
16%
International students
83%
Male students
17%
Female students
82%
2:1 or above
13%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Finance

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£28,000
high
Average annual salary
93%
low
Employed or in further education
77%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

40%
Business, research and administrative professionals
31%
Business, finance and related associate professionals
8%
Administrative occupations: finance

Over 2,000 students graduated with a degree in finance in 2015, and a sign of the strength of the finance industry, numbers are on the up. Over half of finance graduates go into the finance industry, with accountancy and financial advice roles particularly popular. It's also quite common for finance graduates to go into jobs which require you to take more training and gain professional qualifications — finance graduates who take further study are more likely to be studying accountancy than finance. About a third of graduates start their careers in London - but Glasgow, Manchester and Birmingham are other popular locations for finance graduates to work.

Information systems

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£24,000
med
Average annual salary
88%
low
Employed or in further education
55%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

30%
Information technology and telecommunications professionals
18%
Information technology technicians
12%
Business, research and administrative professionals

Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Finance

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£28k

£28k

£37k

£37k

£51k

£51k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Information systems

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£29k

£29k

£35k

£35k

£42k

£42k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

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Lower entry requirements
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BSc 4 Years Sandwich including industrial placement 2024
UCAS Points: 120
Nearby University
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Business Computing and Data Analytics
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UCAS Points: 112

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Teaching Excellence Framework (TEF):

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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