Mobile Sports Applications and Data Mining, Short Course | KTH Royal Institute of Technology | Stockholm, Sweden
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Short On Campus

Mobile Sports Applications and Data Mining

3 months
Duration
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

KTH Royal Institute of Technology's Mobile Sports Applications and Data Mining course is a practically oriented course in the development of mobile applications, including data mining techniques, for sports and health.

Overview

What you will learn

After successful completion of KTH Royal Institute of Technology's Mobile Sports Applications and Data Mining course, the student will be able to:

  • design and develop applications for mobile devices, both self-contained and those that communicate over networks, including the ability to consider hardware and network limitations during design
  • develop usage-tailored user interfaces for mobile devices and judge whether they are sufficiently functional for their intended use.
  • develop mobile phone software that uses both internal and external sensors, such as GPS, accelerometer, wearables, and camera.
  • describe several cloud and messaging services for mobile devices in connection with data analysis for sports and health applications.
  • apply existing data analysis methods on sensor data to find patterns and insights for sports and health
For higher grades, it is also required that the student:
  • has the ability to explain, analyze, and critically evaluate some recent trends within the area of mobile applications for sports and health
  • demonstrate a large degree of independence and ability to present one’s own work

Programme Structure

The program focuses on:

  • How mobile applications can be used in sports and health.
  • Common mobile platforms, such as smartphones, tablets, smart watches and bracelets, and wearables.
  • Hardware, operating systems, and development tools for mobile platforms as well as API:s for third party tools.
  • Mobile application programming:
  • Application components
  • User interfaces
  • Handling of persistent data
  • Sensors in mobile devices
  • Platform-independent development
  • Cloud and messaging services for mobile systems
  • The usage of camera for video analysis

Key information

Duration

  • Full-time
    • 3 months

Start dates & application deadlines

Language

English
TOEFL admission requirements TOEFL® IBT
90

Credits

6 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT
90

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at KTH Royal Institute of Technology and/or in Sweden, please visit Student Insurance Portal.

Other requirements

General requirements

  • 7,5 ECTS Object Oriented Programming. 
  • English B/6.

Tuition Fee

To always see correct tuition fees
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 SEK for the full programme during 3 months.

If you are an EU, EEA or Swiss citizen or hold a residence permit in Sweden for something other than studies you generally do not have to pay tuition fees.

Living costs for Stockholm

9668 - 17248 SEK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Our partners

Mobile Sports Applications and Data Mining
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Mobile Sports Applications and Data Mining
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