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IN2502: BIG DATA IN BUSINESS AND FINANCE (2023-2024)

Last modified: 08 Dec 2023 13:16


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
Co-ordinators
  • Dr Weihao Han

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

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

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

  • 1 Lecture during University weeks 26 - 35, 39
  • 1 Tutorial during University weeks 28, 30, 32, 34

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

Essay

Assessment Type Summative Weighting 60
Assessment Weeks Feedback Weeks

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Feedback

Topics include applications of data analytics and machine learning, green finance and FINTECH (word limit: 2000).

Word Count 2000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Group Project

Assessment Type Summative Weighting 40
Assessment Weeks Feedback Weeks

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Feedback

Students have the chance to develop their own Python code and demonstrate its application in data analytics and machine learning.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Essay

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Feedback

2,000 words

Word Count 2000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberNot Available

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