Wireless Communication and Networked Embedded Systems

5 credits

Course, Master's level, 1DT194

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
19 January 2026–22 March 2026
Language of instruction
English
Entry requirements

120 credits whereof 90 credits in computer science, mathematics, and technology, including Computer Networks I and a second course in computer programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Selection

Higher education credits in science and engineering (maximum 240 credits)

Fees
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
  • First tuition fee instalment: SEK 12,083
  • Total tuition fee: SEK 12,083

Read more about fees.

Application code
UU-61203

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
19 January 2026–22 March 2026
Language of instruction
English
Entry requirements

120 credits whereof 90 credits in computer science, mathematics, and technology, including Computer Networks I and a second course in computer programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Fees
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
  • First tuition fee instalment: SEK 12,083
  • Total tuition fee: SEK 12,083

Read more about fees.

Application deadline
15 October 2025
Application code
UU-61250

Admitted or on the waiting list?

Registration period
5 January 2026–25 January 2026
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
19 January 2026–22 March 2026
Language of instruction
English
Entry requirements

120 credits whereof 90 credits in computer science, mathematics, and technology, including Computer Networks I and a second course in computer programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
5 January 2026–25 January 2026
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
18 January 2027–21 March 2027
Language of instruction
English
Entry requirements

120 credits whereof 90 credits in computer science, mathematics, and technology, including Computer Networks I and a second course in computer programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 October 2026
Application code
UU-61250

Admitted or on the waiting list?

Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
18 January 2027–21 March 2027
Language of instruction
English
Entry requirements

120 credits whereof 90 credits in computer science, mathematics, and technology, including Computer Networks I and a second course in computer programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Information on registration from the department

About the course

Programming of embedded systems on examples of sensor nodes, distributed algorithms, radio communication (propagation and modulation), energy efficiency, and communication protocols for wireless systems.

After passing the course a participant will be able to use suitable principles and standards (e.g. IEEE 802.15.4 and ZigBee) in the design and evaluation of sensor networks and wireless communication protocols for small digital transmitters, demonstrate an ability to read, critically evaluate, analyse and present (verbally or in written form) the content and implications of research articles in the area.

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