City University London
Data Analytics and Actuarial Science BSc (Hons)
City University London

Key Course Facts

Student Reviews

Below you can see course specific reviews for 15 graduates of Data Analytics and Actuarial Science BSc (Hons) and other courses in at City University London for each of the survey questions in comparison to the average for all UK degree courses in .

Overall student satisfaction
77 /100
15 total respondents

Primarily based on data from undergraduate degree students.

The NSS is commissioned by the Office for Students

Salary

Salary of Graduates in Statistics

Important: Salary data below is not course specific, but contains data of all students of at the university. Due to data collection methodology, salary data is mainly based on data related to undergraduate students.

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £32000 £36000 £47000
25-75 percentile range £28000 - £40000 £28000 - £48000 £32000 - £67000


Salary of all UK Graduates of Statistics

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £25337 £27251 £33645
25-75 percentile range £21338 - £30977 £20727 - £35913 £23992 - £46346

Course Description

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

What You Will Learn

Programme content: As a student of Data Analytics and Actuarial Science, BSc (Hons) you will study the following course modules.

Year 1

Year 2

Year 3

Jobs & Career Perspectives

15 months after graduation, graduates of this course were asked about what they do and, if they are working, about their current job and their perspectives.

Current jobs

Required skill level of job after 15 months

Jobs of graduates of this course (15 months after graduation)

Example below based on all graduates of Data Analytics and Actuarial Science BSc (Hons) at City University London

40% Finance Professionals
25% Business, Research and Administrative Professionals
15% Business and public service associate professionals
10% Administrative occupations
5% Information Technology Professionals
5% Teaching Professionals
0% Secretarial and related occupations
0% Sales occupations
0% Managers, directors and senior officials

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."

Entry Requirements / Admissions

Minimum Required UCAS Tariff

UCAS Tariff of Accepted Students for Statistics

Qualification requirements

Must include A Level Maths grade A. Excludes General Studies, Critical Thinking and native language subjects. Please note GCSE English Language grade 5/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).

Must include Maths grade A at Advanced Higher Level. Please note this should include a minimum three subjects at Advanced Higher (grades AAA) and a minimum two other subjects at Higher (grades AA). 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).

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 5/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).

Must include Higher Level Maths grade 6 or above. Please note the IB total can include up to 3 bonus/core points and must include a minimum grade 5 in all other subjects. English is required at Standard or Higher 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).

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 5/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).

Must include Pre-U Maths grade D3 or above. Excludes General Studies, Critical Thinking and native language subjects. Additionally GCSE English Language grade 5/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).


Get advice on which foundation courses are best for you to still study Data Analytics and Actuarial Science, BSc (Hons), if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

Costs

Tuition Fees Data Analytics and Actuarial Science BSc (Hons)

England UK £9250 year 1
Northern Ireland £9250 year 1
Scotland £9250 year 1
Wales £9250 year 1
EU £20500 year 1
International £20500 year 1

Average student cost of living in London

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

How to apply

Application deadline:

January 1, 2024

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.

Possible Entry Points:

  • year 1 (Default entry point)

University Rankings

Positions of City University London in top UK and global rankings.

Rankings of City University London in related subject specific rankings.

Business

    • #4 
    • #51 
    Finance
    GRAS Global Ranking of Academic Subjects - ShanghaiRanking
    [Published 19 July, 2022]

See all 24 university rankings of City University London

About City University London

Founded in 1894, City University London (a.k.a. City) is located in Central London. Due to its location, City attracts students from around the world, and as a result offers a diverse campus culture. The facilities on-site have been developed with each student’s future work environment in mind. So Law students have access to simulation courts of law, and future Nurses can expect to make use of mock medical wards. Academics aside, being located in Central London means learners can get around quickly thanks to the numerous public transport options in the area.

Student composition of City University London

Students by level of study Academic year 2020/21 - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on 10 February 2022
undergraduates:
11455
postgraduates:
4690
Total:
16145
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Where is this programme taught

Northampton Square
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City, University of London
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