International Master's Programme in Computer Engineering, 120 credits

Aim

The overall goal of the programme is to provide the student with cutting-edge knowledge in the area of information technology, appropriate for research and advanced development in high-technology companies, regionally, nationally, and internationally.

Programme objectives

OUTCOMES ACCORDING TO THE HIGHER EDUCATION ORDINANCE FOR A MASTER'S DEGREE (TWO YEARS)

Knowledge and understanding
For a Degree of Master students must
- demonstrate knowledge and understanding in their main field of study, including both broad knowledge in the field and substantially deeper knowledge of certain parts of the field, together with deeper insight into current research and development work; and
- demonstrate deeper methodological knowledge in their main field of study.

Skills and abilities
For a Degree of Master students must
- demonstrate an ability to critically and systematically integrate knowledge and to analyse, assess and deal with complex phenomena, issues and situations, even when limited information is available;
- demonstrate an ability to critically, independently and creatively identify and formulate issues and to plan and, using appropriate methods, carry out advanced tasks within specified time limits, so as to contribute to the development of knowledge and to evaluate this work;
- demonstrate an ability to clearly present and discuss their conclusions and the knowledge and arguments behind them, in dialogue with different groups, orally and in writing, in national and international contexts; and - demonstrate the skill required to participate in research and development work or to work independently in other advanced contexts.

Judgement and approach
For a Degree of Master students must
- demonstrate an ability to make assessments in their main field of study, taking into account relevant scientific, social and ethical aspects, and demonstrate an awareness of ethical aspects of research and development work;
- demonstrate insight into the potential and limitations of science, its role in society and people’s responsibility for how it is used; and
- demonstrate an ability to identify their need of further knowledge and to take responsibility for developing their knowledge.

SPECIFIC OUTCOMES FOR THE INTERNATIONAL MASTER'S PROGRAMME IN COMPUTER ENGINEERING
After the completion of the program the student should
- Show thorough understanding of current research and development within the computer engineering area. 
- Demonstrate familiarity with development trends and current applications.
- Show proficiency in software implementation of algorithms and in the use of relevant software packages.
- Show high proficiency in explaining and justifying several important artificial intelligence and machine learning methods.
- Demonstrate good skills in all aspects of extraction of knowledge from data.
- Show high proficiency in analyzing and optimizing the technical performance of different systems and advanced services.
- Demonstrate advanced skills in simulation, modelling and analysis of algorithms and systems. 
- Show high proficiency in at least four of the following areas depending on the selected specialization: multidimensional visual representations, image processing, image analysis, compression, computer vision, multi-view geometry, visualization, resource and network management, distributed systems, wireless communication, network security, real-time intelligent systems, and simulation of systems.

Content

Computer Engineering MA:
Applied Optimization, 6 credits
Data Mining and Machine Learning, 6 credits
Quantitative Research and Development, 6 credits
Neural Networks and Deep Learning, 6 credits
Probability and Random Processes, 6 credits
Final Project, 30 credits

Computer Engineering GR (C):
Special Study in Computer Engineering, 3 credits #

Specialization Intelligent Systems and Networks:
Computer Engineering MA:
Advanced Networking Concepts, 6 credits
Advanced Distributed Algorithms, 6 credits #
Distributed Systems and Computing, 6 credits
Embedded Edge Intelligence, 3 credits #
Embedded Systems, 6 credits
Experimental Work in Intelligent IoT Networks, 6 credits #
Network Security and Privacy, 6 credits #
Simulation and Analysis (co-read with Image Analysis), 6 credits
Wireless Radio Resource Management, 6 credits #
Wireless Communication, 6 credits

Specialization Visual AI:
Computer Engineering MA:
Advanced Image Processing, 6 credits #
Augmented and Virtual Reality, 6 credits #
Computer Graphics, 6 credits
Computer Vision and Multiview Geometry, 6 credits
Machine Learning for Visual Media Applications, 6 credits #
Multidimensional Visual Representation and Compression, 6 credits #
Image Analysis, 6 credits
Signal and Image Processing, 6 credits
User Centered Design, 3 credits #
Visualization, 6 credits

# Can be exchanged for another course relevant for the education.

Specialisation

Visual AI
Visuell AI, 120 hp

Intelligent Systems and Networks
Intelligenta system och nätverk, 120 hp

Entry requirements

For Visual AI specialization:
Degree of Bachelor (at least 180 credits), Degree of Bachelor of Science in Computer or Electrical Engineering (at least 180 credits), or equivalent, with at least 30 credits in Mathematics/Applied Mathematics, including courses in probability theory and statistics and linear algebra, and 60 credits in Computer Engineering including a course in object oriented programming.
English course 6 from Swedish Upper Secondary School (Gymnasium) or the equivalent.

For Intelligent Systems and Networks specialization:
Degree of Bachelor (at least 180 credits), Degree of Bachelor of Science in Computer or Electrical Engineering (at least 180 credits), or equivalent, with at least 30 credits in Mathematics/Applied Mathematics, including courses in probability theory and statistics and discrete mathematics, and 60 credits in Computer Engineering including a course in object oriented programming.
English course 6 from Swedish Upper Secondary School (Gymnasium) or the equivalent.

Description of programme

The programme is offered as full time studies, during two years.

Selection rules and procedures

The selection process is in accordance with the Higher Education Ordinance and the local order of admission.

Programme with restricted admissions

Specific entry requirements for each course within the programme are listed in the respective syllabus. Students who do not meet these requirements should contact the programme department for assistance with planning.

Teaching and examination

Teaching and examination procedures are stated in the syllabus of each course. The language used is English.

Title of qualification

Degree of Master of Arts/Science (120 credits)

Teknologie masterexamen med huvudområdet datateknik, translated into Degree of Master of Science (120 credits) with a major in Computer Engineering.

Other information

There is a possibility for changes concerning the time, name, content, level and distribution of the points within the courses during the time the programme is running.

The student has the opportunity to choose a specialization during the study period. How the election will be carried out and the current offer will be announced locally. Elective specializations can be canceled if there are too few applicants.