Description

Type

Master
Location

Oslo (Norway)

Duration

2 Years
Start date

Different dates available

Data Science is the science of extracting knowledge or insight from various types of data. The study of Data Science combines mathematics, statistics and informatics making you ready for meeting the Data revolution.

Facilities

Oslo (Norway)

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Start date

Different dates availableEnrolment now open

About this course

Course objectives

With a Master of Science in Data Science, you will be well prepared to face a major challenge in today's society: how to utilize the information contained in the vast amounts of data that are being collected in various areas such as medicine, finance, environment, and social media. The master's programme in Data Science is based on an interdisciplinary background in statistics (probability theory, inference, machine learning) and computer science (algorithms, visualization, database) in addition to a solid foundation in general mathematics.

Modern data collection is characterised by volume (the amount of data), variety (the many different types of data including numbers, text and videos) and velocity (the dynamic collection and need for processing data). Extracting knowledge and insight from such data requires several different skills. Many tools are available, but the need for an understanding on what these tools do and how they can be applied or modified to a specific problem requires deep methodological understanding of all the topics within the Data Science production chain. This programme will give you a combination of theoretical basis and practical experience, from problem definition to data extraction and preprocessing to analysis and in the end presentation of the results
In this master's programme you will get a solid basis in the informatics and statistical methodology necessary for working within Data Science. Depending on your interest you can specialise into different topics.

Who is it intended for?

Data is in many contexts being presented as the new oil. Many large and small companies realise that data that are collected in various settings can, if utilised properly, give competitive advantages. Data Scientist are therefore hired in a variety of sectors.

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This centre's achievements

2019

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All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

Database
Database training
Statistics
Image
Data science
Machine Learning
Semantic Web
Database Integration
Life Science
Science

Course programme

Programme structure

The Master's programme Data Science is a two-year full time study consisting of 120 ECTS credits.

The programme has the following structure:

Courses, 60 or 90 ECTS credits
Master's thesis, 60 or 30 ECTS credits

The programme has three specializations:

Statistics and Machine Learning
Database Integration and Semantic Web
Data Science and Life Science

Course of study

Recommended plan with a master's thesis of 60 ECTS credits

4. semester

Master's thesis

3. semester

Master's course / Master's thesis
Master's course / Master's thesis
Master's course / Master's thesis

2. semester

Master's course / Master's thesis
Master's course
Master's course

1. semester

Master's course
Master's course
Master's course

Courses

The first semester of the master’s programme starts with mandatory and recommended courses om master's level, as they should be taken as early as possible.

The following courses are mandatory and should be taken in the first semester:

STK-IN4300 – Statistical learning methods in Data Science
IN-STK5000 – Adaptive Methods for Data-Based Decision Making

of the remaining courses, at least one course within informatics, with an INF/IN/IN-STK-label, and one course within statistics, with an STK/STK-IN-label, is required. The different specializations have recommended courses, and these should be chosen together with your supervisor. The internship course STK-IN4355 – Internship in Data Science will not cover the requirement of 10 ECTS of STK/STK-IN - courses.

Specialization Statistics and Machine Learning