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Last modified: 31 Jul 2023 11:19

Course Overview

This course will provide an introduction to data analytics and machine learning (often summarised as Big Data) and its applications in international business. The course will explore recent trends in green finance and FINTECH, which are based on data analytics and recent advances in machine learning.

Course Details

Study Type Undergraduate Level 2
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study Yes
  • Professor Gerhard Kling

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?


What courses cannot be taken with this course?

Are there a limited number of places available?


Course Description

The course will provide an introduction to Python, which has become the dominant general-purpose programming language in data analytics and machine learning. To be clear, students are not expected to have any prior knowledge of Python or any other programming language.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Alternative Assessment

2000-word Essay (60%)

Group Project (40%)

Alternative Resit Assessment

Individual essay (max 3000 words) - 100%

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberNot Available

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