Big Data Analytics for Business and Economics

The course Big Data Analytics for Business and Economics, is a course within the Master of Science programmes at the Graduate School, School of Business, Economics and Law, University of Gothenburg.

To be eligible for the course Big Data Analytics for Business and Economics, the participant must fulfil the entrance qualifications for one of the Master of Science programmes at the Graduate School. The participant must also have a minimum of 15 credits in Statistics, or 7.5 credits in Statistics and 7.5 credits in quantitative methods and/or Mathematics.

This course equips you with the key tools in data science and statistics for analysing big and unstructured data. A key focus is on real-world applications in Economics and Business. We explore and discuss big data concepts and present commonly used data analytical tools and techniques.

On successful completion of the course the student will be able to:

1. identify and extract useful data for analysis
2. create and analyze big data using various statistical techniques, including key tools in data science such as machine learning.

Lectures, seminars, and computer labs.

Language of instruction: English

The learning outcomes are assessed through group assignments and an individual written exam.

Individual written exams shall be written individually, cooperation in formulating text, tables, figures etc. is not allowed.

In connection with written assignments, the course coordinator or teacher may conduct a follow-up oral conversation with the student. The conversation serves as an assessment support for the written assignment. The purpose of the conversation is to ensure that the learning objectives of the assignment are met and that the text, ideas, and/or analysis are the student´s own work.

If a student who has been failed twice for the same examination element wishes to change examiner before the next examination session, such a request is to be granted unless there are specific reasons to the contrary (Chapter 6 Section 22 HF).

If a student has received a certificate of disability study support from the University of Gothenburg with a recommendation of adapted examination and/or adapted forms of assessment, an examiner may decide, if this is consistent with the course’s intended learning outcomes and provided that no unreasonable resources would be needed, to grant the student adapted examination and/or adapted forms of assessment.

If a course has been discontinued or undergone major changes, the student must be offered at least two examination sessions in addition to ordinary examination sessions. These sessions are to be spread over a period of at least one year but no more than two years after the course has been discontinued/changed.

The number of examinations is limited to five.

If a student has been notified that they fulfil the requirements for being a student at Riksidrottsuniversitetet (RIU student), to combine elite sports activities with studies, the examiner is entitled to decide on adaptation of examinations if this is done in accordance with the Local rules regarding RIU students at the University of Gothenburg.

The grading scale comprises: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).

Pass is required on the individual written exam. The grade (A-E) corresponds to the total score a student obtains on the written group assignments and the individual written exam. To receive a pass grade (A-E) >= 50% points is required. The scale is tied to fixed score intervals:

A: 85-100%
B: 75-84%
C: 68-74%
D: 60-67%
E: 50-59%
F: <50%

The course will be evaluated upon completion. The results of and possible changes to the course will be shared with students who participated in the evaluation and students who are starting the course.