Mathematics with Data Science BSc (Hons)

Mathematics is the universal language of today’s global economy. Data Science is increasingly the tool for analysing real world complexity and decision-making.

 

Whether you are managing an investment portfolio, encrypting financial transactions or constructing a machine-learning algorithm to identify hidden patterns in your customer database you will likely be doing it through a combination of Mathematics and Data Science methods.

 

The Mathematics with Data Science BSc opens doors to the widest range of careers, because virtually all industries need graduates with skills in these disciplines. The confidence and knowledge you gain at City will open doors to a rewarding and satisfying career.

• Understand the universal nature of mathematics as a discipline that knows no borders or language barriers

• Master a wide range of mathematical and data science topics and techniques, such as calculus, probability and machine learning

• Learn to implement sophisticated algorithms, data mining techniques artificial intelligence with real world applications

• Boost your employability with an optional paid one-year work placement – past students have secured placements at organisations such as Axa, Barclays, Bloomberg, Disney, Microsoft, Toyota and Warner Music

• Take special career development modules to understand mathematics’ essential role across all industries and the opportunities available to you.
   

Explore your interests through a research project chosen from a wide variety of mathematical topics – past projects have included everything from life-saving mathematics in medical imaging, to wallpaper patterns.

This course is subject to approval.
 

 

Course content
 

This three-year BSc Mathematics with Data Science degree is focused on pure mathematics with real applications. As you progress, you will have increasing choice and flexibility about what you choose to study.
 

Year 1
 

Year 1 consists of modules that make up 125 credits. All modules are core.

• Functions, Vectors and Calculus (30 credits)

   

• Algebra (15 credits)

   

• Linear Algebra (15 credits)

   

• Introduction to Probability and Statistics (15 credits)

   

• Logic and Set Theory (15 credits)

   

• Number Theory and Cryptography (15 credits)

   

• Introduction to Modelling (15 credits)

   

• Skills, Careers and Employability Analysis for Mathematics students (5 credits)
   

Year 2
 

Year 2 consists of modules that make up 125 credits.

• Programming and Data Science for the Professions (15 credits)

   

• Real and Complex Analysis (30 credits)

   

• Vector Calculus (15 credits)

   

• Sequences and Series (15 credits)

   

• Decision Analysis (15 credits)

   

• Applied Mathematics (15 credits)

   

• Numerical Mathematics (15 credits)

   

• Professional Development and Employability (5 credits)

   

• Applications of Probability and Statistics (15 credits)
   

Year 3
 

Year 3 consists of modules that make up 120 credits.

• Codes (15 credits)

   

• Techniques for Data Science (15 credits)

   

• Group project (15 credits)

   

• Principles of Data Science (15 credits)

   

• Introduction to Artificial Intelligence (15 credits)

   

• Machine Learning (15 credits)

   

• Differential Equations (30 credits)

   

• Advanced Complex Analysis (15 credits)

   

• Stochastic Models (15 credits)

   

• Operational Research (15 credits)

   

• Probability and Statistics 2 (30 credits)

   

• Graph Theory (15 credits)

   

• Game Theory (15 credits)

   

• Dynamical Systems (15 credits)

   

• Introduction to the Mathematics of Fluids (15 credits)

   

• Introduction to Mathematical Physics (15 credits)

   

• Mathematical Processes for Finance (15 credits)

   

• Groups and Symmetry (15 credits)

   

• Mathematical Biology (15 credits)

• UK
   

  A-level:

  AAB (including Mathematics)
   

  Tariff:

  136 UCAS tariff points
   

  International Baccalaureate:

  33 points total, including Higher Level Mathematics at grade 6
   

  BTEC:

  DD with an A in Maths A level
   

  GCSE:

  A minimum of grade 4 (C) in English Language and Mathematics in addition to other outlined requirements.
   

  Contextual offers

  We apply a contextual admissions process for UK undergraduate applicants who have been in care or are the first in their family to enter Higher Education. Those who are eligible may receive a conditional offer with reduced entry requirements, typically two grades lower for A-levels and one grade (or eight tariff points) for BTEC or mixed qualifications.

  Read our contextual admissions policy for eligibility criteria and further information.
   

  Mixed qualifications

  Typically the only scenario where we make conditional offers expressed as UCAS tariff points is when an applicant presents mixed qualifications, most typically a combination of A-levels and a BTEC qualification.

  In this instance, we may make a tariff point offer to present the applicant with more flexibility on equivalencies. In this case, please be aware that we may still ask for a specific score across certain qualifications and subjects. E.g. 'This offer is conditional on you achieving 128 tariff points. This must include A-level Mathematics at grade B.'
   

  Subject exclusions

  We do not accept General Studies and Critical Thinking. These subjects will not be included in any conditional offer we make.
   

  Extended Project Qualification (EPQ)

  We welcome applications from students who are completing relevant EPQ Projects. Whilst we recognise the value of these projects in preparing students for independent learning at university, the EPQ is unlikely to form part of any conditional offer we make.

  The EPQ will also not lower the specifics of any conditional offer we choose to make. We will consider the EPQ as part of the holistic assessment of the application and it could be used to form part of our final decision at Confirmation stage.
   

  AS levels

  We recognise that there will be differences of opportunity varying by school and college. As not all students will have the opportunity to sit AS Level exams, it is unlikely we will include AS Level grades in any offer we choose to make. Where students have completed an AS Level subject, we will consider this as part of the holistic assessment of the application and it could be used to form part of our final decision at Confirmation stage.
   

  University preparation programmes

  If you do not qualify for direct entry, you may wish to take a foundation programme first. These programmes are designed to prepare students for entry to City's undergraduate courses.
   

  Access to Higher Education

  We welcome Access course applications from 'mature' students. These applicants will be considered on the basis of their own merits. Please be aware that Access students are often asked for further information to supplement their application, this is normally in the form of a questionnaire.

 

English language requirements
 

If your first language is not English, we will require evidence of English language proficiency. Minimum requirements are:

IELTS:

6.0 overall with a minimum of 6.0 in each component.

• GCSE: A minimum of grade 4 (C) in English.

• PTE Academic: 59 overall with a minimum of 59 in each component.

Fees for year 2022/23
 

UK

£9,250

Overseas/EU

£16,650

The fees indicated are for undergraduate entry in the 2022/ 23 academic year only. Fees for future years may be subject to an inflationary increase, which is normally 2%.

Career
 

City graduates are equipped with a variety of mathematical skills and find a wide range of careers open to them. The ability to think logically and abstractly, to solve problems and to model real-world phenomena are sought by employers.

 

Given City’s location many recent graduates have been employed by large firms in the financial or industrial sectors, while others have gone into education, Civil Service and research. Students often go on to work in Data Science companies, or Data Science teams in companies such as:

• PWC

• IBM

• JLT Group

• McKinsey

• SDM

• O2

• Ernst and Young.

Given City’s location and links to business, it is unsurprising that many graduates have been employed by large firms in the financial, industrial or retail sector. Others have gone into education, civil service, research and further study.
 

Placement support
 

Students that complete a placement year have been found to be more likely to achieve higher grades, secure a graduate-level job and earn a higher salary.

 

 

Placements can offer the opportunity to contribute to real-world projects. Our students have previously secured placements and internships at organisations such as:

• Axa

• Barclays

• Bloomberg

• Disney

• EY

• GE Capital

• IBM

• J.P. Morgan

• Microsoft

• Toyota

• Warner Music.

The School of Science and Technology has its own dedicated placements team, the Professional Liaison Unit (PLU).

 

The PLU provides you with support and guidance in securing a relevant placement, through longstanding relationships with a diverse range of companies. The PLU also collaborates with our Careers Service to support you if you wish to take a summer internship at the end of an academic year.