IN2502: BIG DATA IN BUSINESS AND FINANCE (2021-2022)

Last modified: 31 May 2022 13:05

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
Term	Second Term	Credit Points	15 credits (7.5 ECTS credits)
Campus	Aberdeen	Sustained Study	Yes
Co-ordinators	Professor Gerhard Kling

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

Any Undergraduate Programme
IN2002 Big Data in Operations and Supply Chain Management (Studied)
Programme Level 2

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

IN2501 International Business Operations and Finance II (Studied)

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 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term 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 Level	Thinking Skill	Outcome
Factual	Remember	Not Available