EUE

Data Science and Business Analytics (BSc)

September. 2021

Start Date

1 FY + 3 UY

Course Duration

English

Language

Basic Information

Start Date

September. 2021

Course Duration

1 foundation year (if required) + 3 undergrad years

English Language Requirements

Overall IELTS 6.0 with a minimum of 6.0 in Writing and Speaking; minimum 5.5 in Reading and Listening (or recognised equivalent).

Programme Description

At EUE branch campus, all programmes are delivered on campus

How you study

Study materials

We will send you study materials developed by academics appointed by LSE. These include a Programme Handbook of practical information (such as how to enter exams); a Subject Guide for each course; and past exam papers and commentaries, which give you valuable tips for performing well in exams.

Online support

When you register, we will give you access to your Student Portal. You can then access your University of London email account and two other key resources:

  • The Virtual Learning Environment (VLE). Here, you can access electronic copies of all printed study materials, resources including audio-visual and revision guides, and forums to discuss course material and work collaboratively with others.
  • The Online Library holds thousands of journal articles which you can access free of charge. A dedicated helpdesk is available if you have any difficulties in finding what you need.

Assessment

Each module is assessed by an unseen written exam, which is usually held in May or June.

Your exam is set and assessed by academics at LSE, ensuring that your degree is of the same standard as those studying on-campus in London.

If you study the following courses from the Information System selection group, you will also need to undertake a project or coursework.

  • IS1060 Introduction to information systems
  • IS2182 Innovating digital systems and services
  • IS3139 Software engineering: theory and application
  • IS3159 Research project in information systems.

Future Career

As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. Few companies are exploiting quantitative techniques to their full potential, often due to a lack of in-house expertise.

By pursuing undergraduate level study in data science and business analytics, graduates will be highly sought-after by employers as the race to gain a competitive edge in the data arena intensifies. From asset management to pharmaceuticals, retail to insurance, the future is bright for any aspiring data scientist.

In some countries, qualifications earned by distance and flexible learning may not be recognised by certain authorities or regulators for the purposes of public sector employment or further study. We advise you to explore the local recognition status before you register, even if you plan to receive support from a local teaching institution.

Courses

You complete 12 courses for the Standard Route

Year 1

  • Introduction to economics EC1002
  • Statistics 1 ST104a (Half course)
  • Statistics 2 ST104b (Half course)
  • Mathematical Methods MT1186
  • Business and management in a global context MN1178

Year 2

  • Programming for Data Science ST2195
  • Business analytics, applied modelling and prediction ST2187
  • Advanced statistics: distribution theory ST2133 (Half course)
  • Advanced statistics: statistical inference ST2134 (Half course)
  • Elements of econometrics EC2020

Year 3

  • Microeconomics EC2066
  • Statistical methods for market research ST3188
  • Machine learning ST3189
  • Industrial Economics EC3099