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Data Science 7,5 Credits

Course Contents

The exponential growth of the digital universe, particularly in the form of storage and computing power in recent decades, enables companies to accumulate huge amounts of data at moderate cost. Accompanying this technological shift is a widespread realization that collected data contain potentially valuable information. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, through data analysis.

The course includes the following elements:
- Organization of a data analysis project and its different phases, i.e., business understanding, data understanding, preprocessing, modelling, evaluation and deployment
- Understanding and preparing data for analysis
- Fundamental tasks in data analysis, i.e., classification, regression, clustering, association analysis and deviation analysis
- Software tools for data analytics
- Basic machine learning techniques for finding patterns, explanations and predictions
- Data analytics applied in different engineering and business domains

Prerequisites

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in computer engineering, electrical engineering (with relevant courses in computer engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. Proof of English proficiency is required.

Level of Education: Master
Course code/Ladok code: TDSR22
The course is conducted at: School of Engineering

Upcoming course occasions

Type of course
Program
Study type
Campus
Semester
Autumn 2022: Oct 24 - Jan 15
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Course coordinator
Tuwe Löfström
Examiner
Tuwe Löfström
Tuition fees do NOT apply for EU/EEA citizens or exchange students
18750kr
Syllabus
HTML  PDF
Application code
HJ-T2297
Last modified 2022-06-02 11:16:21