Statistics and Data Analytics, BSc Hons

Postgraduate

In

£ 9,250 VAT inc.

Description

  • Type

    Postgraduate

  • Duration

    3 Years

On this degree in statistics and data analytics, you will learn methods for data collection, analysis, interpretation, statistical estimation, statistical modelling and simulation. If you are an aspiring mathematics teacher, our Undergraduate Ambassadors Scheme will enable you to gain classroom experience.

The course is one of our popular suite of mathematics degrees; in the 2019 Guardian University Guide, these were ranked in the top 10 in the UK.

Career options for our graduates include market research, business analysis, forecasting and teaching. The course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians.

Facilities

Location

Start date

Start date

SeptemberEnrolment now closed

About this course

For entry in September 2021, you will require:

104 UCAS points from A-Levels which MUST include a grade C, or higher, in A-Level Maths
AND YOU WILL ALSO REQUIRE:

GCSE English (Language or Literature) AND GCSE Maths at grade C/4 or above. We also consider equivalent qualifications in English and Maths at Level 2, in place of GCSEs.

What you should know about this course
Students on this course have the opportunity to develop skills such as logical analysis, deduction, statistical modelling, decision making and data analysis
You will learn to identify and analyse relevant data from different sources, improve problem-solving skills and acquire IT skills using specialist mathematical software packages
Throughout, you will also learn how to apply mathematical concepts appropriately, relevant statistical methods and operational research techniques, and enhance your communication skills
Overall, this degree provides opportunities to improve students’ capacity for statistical modelling, independent thinking, interpreting and presenting scientific findings, and to work as a part of a team
Our Mathematical Science degrees are consistently highly ranked for student satisfaction: 1st in London by the Complete University Guide 2019 and 6th in the UK in the 2019 Guardian University League tables for Mathematics.

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Reviews

This centre's achievements

2020

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 11 years

Subjects

  • Options
  • Statistics
  • Mathematics
  • Simulation
  • Financial
  • GCSE Mathematics
  • Financial Training
  • Matrices
  • Vectors
  • Mathematical

Course programme

Year 1

Students are required to study the following compulsory modules.
  • Mathematical Algorithms and Methods (30 credits)
  • Vectors and Matrices (15 credits)
  • Mathematical Coding (15 credits)
  • Calculus and Mathematical Analysis (30 credits)
  • Analysis of Data (15 credits)
  • Probability and Randomness (15 credits)
Year 2

Students are required to study the following compulsory modules.
  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Vector Calculus (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)
Year 3

Students are required to study the following compulsory modules.
  • Optimisation Techniques (15 credits)
  • Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
Students are required to choose 30 credits from this list of options.
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)
Students are required to choose 30 credits from this list of options.
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)

Additional information

International - £14,500

Statistics and Data Analytics, BSc Hons

£ 9,250 VAT inc.