MASTER'S PROGRAMME - Chalmers

MASTER'S PROGRAMME

COMMUNICATIONENGINEERINGMSc, 120 cr, 2 years

ENABLING THE INTERCONNECTED WORLD

We live in the age of information, where communication and information processing are at the heart of our modern society. Intelligent transportation systems, smart cities, traffic safety, positioning and navigation, eHealth, Industry 4.0, and cloud services, all rely on our ability to store, share, process and deliver massive amounts of data.

In a constantly and rapidly evolving field, you as a communication engineer will be needed to rethink, design, and build the systems of the future to enable the interconnected world.

COMMUNICATION ENGINEERING

PROGRAMME DESCRIPTIONWe are witnessing an explosion of infor-mation services and applications, in both volume and variety. These services include social networks, video sharing and stream-ing, and cloud computing. Providing these services on a wide scale requires the ability to globally store, share, process, and de-liver massive amounts of data. Therefore, there is a tremendous need of know-how to tackle this data flooding and the accompa-nied challenges. Furthermore, the need for communication engineers goes far beyond the conventional data delivery and storage problem. A striking example is intelligent transportation systems and traffic safety: a world of autonomous vehicles will not be possible without the integration of communi-cation, information processing, positioning, and navigation. Other evolving fields of the “interconnected world” where the knowl-edge of communication engineers is vital for their development are the Internet-of-things, Industry 4.0, environmental monitoring, and smart grids, to name only a few. In the Communication Engineering pro-gramme, we prepare you for an advanced engineering career in the fields of communi-cation and information science, by acquiring deep theoretical and applied knowledge, the competence to conduct complex proj-ects, and the passion for discovery. As a graduate student of this programme, you will be able to contribute to the develop-ment of the transformative and disruptive technologies that are needed to enable the interconnected world. In the core courses of the programme, the focus lies in providing you with solid analytical skills and an understanding of the

fundamental principles of communication and information processing, random signal analysis, applications of digital signal pro-cessing, antennas, information theory, and coding theory. The programme offers several suggested specialization tracks, with a generous number of courses to choose from. In general, the educational methods have specific emphasis on building and refining problem-solving skills, team work, and presentation skills. In the programme, you also get the opportunity to interact with the industry via guest lectures and study visits.

RESEARCH CONNECTIONSThe Department of Electrical Engineering comprises the largest research group in communications in Sweden, and one of the leading research groups in Europe. The research activities include information andcommunication theory, coding theory, dist-ributed data storage, caching and compu-ting, vehicle-to-vehicle communication for traffic safety, positioning and navigation, cyber-physical systems, and wireless and optical communications. The researchers at the department are internationally re-cognized in their respective fields and are engaged in collaborative research with researchers from top universities around the world. The department is also actively engaged in research and development pro-jects with world leading research bodies and companies, such as the German Aero-space Center, Ericsson, Volvo, Nokia-Bell Labs, and Orange Labs, to name a few.

CAREER OPPORTUNITIES The Master’s degree in communication en-gineering will prepare you to work at the

frontier of technology in areas ranging from multimedia communication, data storage, intelligent transportation, traffic safety, po-sitioning and navigation, wireless networks, and Internet-of-things; areas where informa-tion processing plays a decisive role. The generality of the methods and skills taught in the programme prepare you to work within virtually any branch of industry. A salient example is the Internet-of-things for smart cities, where virtually all components across the city (vehicles, buildings, infra-structure, etcetera) will be interconnected and communicate with each other to create safer, more efficient, and sustainable cities. Its full development involves the automotive industry, network service providers, and en-ergy management companies, which are all in demand of communication engineers. Our students are well equipped for lead-ing positions in globally operating compa-nies worldwide. In the Gothenburg area, international players such as Ericsson, Hua-wei, Volvo Cars and Volvo Trucks, Zenuity, Saab group, ABB, Ruag Space, and Autoliv actively recruit our graduate students. Fur-thermore, there are also plenty of smaller companies, startups and consultancy com-panies specializing in the area of commu-nications in Sweden. The prospective jobs range from research and development to project management, and consultancy. Many of our former students are also pursu-ing a PhD degree at Chalmers or at various European and American universities.

UNDERGRADUATE PROFILEMajor in Electrical Engineering, Mathematics, Computer Science, Information Engineering, Information Technology, Telecommunications,


Communication Engineering, Computer Engineering, Engineering Physics, or Auto-mation and Mechatronics Engineering.

PREREQUISITESMathematics (including probability and lin-ear algebra), signals and systems theory (including linear systems and transforms), and basic programming.

PROGRAMME PLANThe first semester of the programme consists of an initial mandatory block of 30 ECTS credit units, consisting of four of the five compulsory courses described below. In the second semester, the fifth mandato-ry course is taught. Besides the mandatory courses, the programme provides a set of compulsory elective courses, out of which the student must choose at least three (including at least one during the second semester). COMPULSORY COURSES■ Introduction to Communication Engi-neering gives an overview of fundamental concepts in communication engineering and insight into modern communication standards, with some emphasis on com-mercial wireless systems. ■ Random Signal Analysis gives the ne-cessary tools for understanding stochastic models of signals and noise. The course covers various characterizations of random signals as well as statistical inference (esti-mation) based on these.■ In Digital Communications, we derive a theoretical framework for analyzing and de-signing advanced communication systems, based on stochastic methods. The course

tion, Satellite and Sensing Systems, and Information Processing. Furthermore, among the compulsory elective courses, there are four research-oriented courses of a more advanced nature than the others.

MASTER’S THESISThe Master’s degree is completed with a Master’s thesis. There are two possibili-ties: i) A 30 ECTS credit thesis, which can be conducted within a company or within one of our research divisions. ii) Alterna-tively, a 60 ECTS credit thesis can be pur-sued in one of our research divisions, and is intended for those students interested in a research and development oriented job (in industry or in a research lab) or poten-tially interested in pursuing a PhD degree afterwards.

Find out more about our suggested spe-cialization tracks and the elective courses that are offered in the following pages.

MORE INFORMATIONwww.mpcom.se

covers methods for digital modulation, co-ding and detection.■ In Applied Signal Processing, you learn standard techniques and get insight in applications of digital signal processing. You are also given the opportunity to apply some of the techniques to real signal pro-cessing problems and you get insight into current practice in industry.■ Wireless Communications is concerned with the design of wireless communica-tion systems, where you acquire enough understanding of the wireless channel and state of technology to explain why today’s systems are designed as they are, and how they can be improved.

SPECIALIZATION COURSE PACKAGESDepending on how you select and com-bine your courses, you can pursue a spe-cialization of your interest and tailor your education towards a certain application or towards more fundamental topics. Examp-les of specialization course packages are: Mobile communication, Internet-of-Things, Industry 4.0, eHealth, Smart Society, Intelligent Transportation Systems, RF Hardware Design, Optical Communica-

Year 1 Year 2

Communication Engineering, MPCOM

Master’s thesis

Introduction to communi-

cation engineering

Digital communica-

tions

Wireless communica-

tions

Elective course

Elective course

Elective course

Applied signal

processing

Random signal

analysis

Elective course

Elective course

Elective course

Elective course


COMMUNICATION ENGINEERING – SPECIALIZATION COURSE PACKAGES

Master’s thesis

Year 1 Year 2

Specialization towards Mobile Communication


cation engineering

Digital communica-

tions

Wireless communica-

tions

Wirelessnetworks

Bayesian statistics / Information

theory

Nonlinear optimization

Applied signal

processing

Random signals analysis

Error control coding / Matrix

analysis

Wireless and photonics

system engineering

Network security

Millimetre wave and THz

technology

Computer networks

Satellite communica-

tion

Wireless link project

COMPOSE YOUR OWN SPECIALIZATION COURSE PACKAGE – OR CHOOSE ONE OF THESE SUGGESTIONSThe programme consists of an initial man-datory block of 37,5 ECTS credit units, consisting of five compulsory courses. Af-ter the mandatory courses, you are offered a set of compulsory elective courses out of which you must choose at least three. Normally you need to choose at least one during the second semester, and two during the third semester. Among the compulsory elective courses, there are four research-ori-

ented courses of a more advanced nature than the others. These courses are given biannually. Finally, you select four out of a large number of elective courses to com-plete your specialization. Depending on how you select and combine your courses, you can pursue a specialization of your in-terest and tailor your education towards a certain application or towards more funda-mental topics. Below we have composed

ten specialization course packages: Mobile communication, Internet-of-Things, Industry 4.0, eHealth, Smart Society, Intelligent Trans-portation Systems, RF Hardware Design, Optical Communication, Satellite and Sens-ing Systems, and Information Processing. Note that the specialization packages are only suggestions, and you as a student can select courses from the set of compulsory elective courses of your choice.

Elective course, given biannually

Compulsory elective course, choose at least 3

Compulsory course

Fundamentals of photonics

Laser engineering

Mixed-signalsystemdesign

Fiber-opticalcommunica-

tion

Introduction to electronic

system design

Microwave engineering

Radar system and

applications

Introduction to integratedcircuit design

Opto-electronics

Electro-magnetic

waves and components

Remote sensingeHealth

Wireless networks


Image analysis

Multimedia and video

communica-tions

Satellite positioning

Matrix analysis with applications,

advanced level

Network security

Error control coding,

advanced level

Information theory,

advanced level

Bayesian statistics

Image processing


tions

Computer networks

Elective / Compulsory elective courses


COMMUNICATION ENGINEERING – SPECIALIZATION COURSE PACKAGES

Master’s thesis

Year 1 Year 2

Specialization towards Internet-of-Things


cation engineering

Digital communica-

tions

Wireless communica-

tions

Wirelessnetworks

Network security

Introduction to curcuit

system design

Distributedsystems

Applied signal

processing


Computer networks

Multimedia and video

communica-tions

Stochastic optimization

Sensor fusion and nonlinear

filtering


Discreteoptimization

Distributedsystems, advanced

course

Master’s thesis

Year 1 Year 2

Specialization towards Industry 4.0


cation engineering

Digital communica-

tions

Wireless communica-

tions

Linear and integer

optimization with

applications

Optical communica-

tion

Linear control systems design

Applied signal

processing


Computer networks

Wireless networks

Discrete event systems


system engineering


Matrix analysis / Error control

coding

Model predictive

control

Embedded control systems

Master’s thesis

Year 1 Year 2

Specialization towards eHealth


cation engineering

Digital communica-

tions

Wireless communica-

tionseHealth

Network security

Medicine for the engineer

Biomedical instrumentation

Applied signal

processing


Image analysis


filtering

Linear control systems design

Image processing


Statisticalinference

Diagnostic imaging


Master’s thesis

Year 1 Year 2

Specialization towards RF Hardware Design


cation engineering

Digital communica-

tions

Wireless communica-

tions

Wirelessnetworks



Applied signal

processing


Introduction to integrated circuit design

Electro-magnetic waves ad

components

Antenna engineering

Mixed-signal system design

Introduction to electronic

system design

Computational electro-

magnetics

Master’s thesis

Year 1 Year 2

Specialization towards Smart society


cation engineering

Digital communica-

tions

Wireless communica-

tions

Wirelessnetworks

Network security

Simulation of complex

systems


Power systemoperation

Applied signal

processing


Power system analysis

Stochasticoptimization

eHealth

Autonomous and

cooperative vehicular systems

Computer networks

Image analysis

Master’s thesis

Year 1 Year 2

Specialization towards Intelligent Transportation Systems


cation engineering

Digital communica-

tions

Wireless communica-

tions

Wirelessnetworks

Radar systems and applications

Matrix Analysis / Error control coding

Distributed systems

Model predictive

control

Algorithms for machine learning and

inference

Applied signal

processing


Antenna engineering

Autonomous and

cooperative vehicular systems

Computer networks


filtering


systems

Stochasticoptimization

Elective course, given biannually

Compulsory elective course, choose at least 3

Compulsory course


Master’s thesis

Year 1 Year 2

Specialization towards Optical Communication


cation engineering

Digital communica-

tions

Wireless communica-

tions

Matrix analysis / Error control

coding

Fundamentals of Photonics


theory

Fiber optical communication

Applied signal

processing


Computer networks

Laser engineering

Opto-electronics

Linear and integer

optimization with

applications


system engineering

Millimetre wave and THz

technology


Master’s thesis

Year 1 Year 2

Specialization towards Satellite and Sensing Systems


cation engineering

Digital communica-

tions

Wireless communica-

tions

Remote sensing


theory

Satellite positioning


tion


Applied signal

processing


Image processing

Radar systems and applications

Electro-magnetic

waves and components

Statistical image

analysis

Discrete optimization


Space science and technique

Master’s thesis

Year 1 Year 2

Specialization towards Information Processing


cation engineering

Digital communica-

tions

Wireless communica-

tions

Matrix analysis / Error control coding

Image processing

Applied signal

processing



theory

Statistical learning for

big data

Stochastic processes

Statistical inference


systems

Information theory of complex systems

Computer intensice statistical methods

Distributed systems

Integration theory

Stochastic data process-

ing and simulation


Numerical linear algebra

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www.mpcom.se

Chalmers University of Technology, SE-412 96 Gothenburg, Sweden, Phone +46 31 772 1000, www.chalmers.se/en

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MASTER'S PROGRAMME - Chalmers

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