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Masters Degrees (Neuroengineering)

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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Power ahead and make your postgraduate studies really count in the Department of Electronic and Computer Engineering. The recent evolution of Electronic and Computer Engineering has been developed into a wide-ranging discipline covering technologies critical to the growth of the knowledge economy. Read more
Power ahead and make your postgraduate studies really count in the Department of Electronic and Computer Engineering. The recent evolution of Electronic and Computer Engineering has been developed into a wide-ranging discipline covering technologies critical to the growth of the knowledge economy.

Networking, wireless communications, multimedia signal processing, microelectronics, microprocessors, IC design, opto-electronics, display technologies, and control and robotics all fall into this exciting discipline. Advanced training in these fields opens up a wealth of career opportunities in the manufacturing industry, business sector, government and universities worldwide.

The Department has gathered a talented faculty team, with PhDs from the world's top universities, and is equipped with state-of-the-art facilities to enable pioneering research and multimedia teaching to be carried out. We have over 40 teaching faculty members, over 300 research postgraduate students and are committed to world-class research and excellence in teaching, leading to significant results with international impact.

The Department's goal is to prepare students to become leading academics, top quality engineers or productive managers in the ever-changing high-technology world.

The MPhil program is designed for those interested in pursuing a career in research and development in industry or academia, and is an excellent preparation for a PhD degree. Students are required to undertake coursework and successfully research and defend a thesis.

Research Foci

The Department's research concentrates on six pillar areas:
Solid-State Electronics and Photonics
Topics related to Microelectronics, Nanoelectronics, Large Area Electronics, Power and Energy-Efficient Electronic Devices, High-Speed Electronics, Semiconductor Materials, Devices and Fabrication Technology, Micro-Electro-Mechanical Systems (MEMS), Displays, Optoelectronics, Organic Light-Emitting Diodes (OLEDs), Solid-State Lighting, Liquid-Crystal Displays, Liquid-Crystal Photonics, Silicon Photonics, Optical Communications and Interconnects, Solar Cells, Epitaxy of Compound Semiconductors by MOCVD.

Integrated Circuits and Systems
Topics related to Digital, Analog and Mixed-Signal Integrated Circuits (IC) Design, VLSI Design, Embedded Systems, Network-on-Chip and Multiprocessor System-on-Chip, Circuit and System Simulation and Verification Tools. Advanced topics include RF and mm-Wave IC and Systems, Data Converters, Power Management IC, High-Speed Optical Communication Transceiver, Image and Bio-Medical Sensors, Signal Processing and System Architectures, Design Automation, Computer Architecture, Reconfigurable System and Hardware/Software Codesign.

Wireless Communications and Networking
Topics related to Physical Layer, Signal Processing, Coding and Information Theory, Networking as well as New Architecture for Next Generation 5G Wireless Communications, Massive MIMO and Cloud Radio Access Networks, Interference Management, Heterogeneous Networks, Green Communications, Tactile Wireless Systems For Machine Type (MTC), Device-To-Device (D2D) and Multimedia Communications, Integration of Control and Wireless Communication Theory, Display-Smart Mobile Communications And Interactions, Network Coding Theory and Applications, Cross-Layer Stochastic Optimization, Distributed Algorithms and Optimisations, Big Data Systems, Social Media and Cyber-Physical and Social Computing Systems, Self-Organising Networks, Cloud Computing and Virtualisation.

Biomedical Engineering
Topics related to Medical Imaging, Biomedical Optics and Biophotonics, Neuroengineering, Medical Electronics, Bioinformatics/Computational Biology and Biomedical Microdevices and BioMEMS.

Control and Robotic Systems
Topics related to Control and Optimization (including System Theory, Optimization Theory, Detection and Estimation, Financial Systems, Networked Sensing and Control), Robotics and Automation (including UAV, Next-Generation Industry Robots, Medical/Healthcare Robotics, and Autonomous Systems).

Signal, Information and Multimedia Processing
Topics related to Digital Signal Processing of Video, 3D, Image, Graphics, Audio, Speech, Language, Biomedical Data, Financial Data, and Network Data. Specific topics include Signal Capture, Conditioning, Compression, Transformation, Playback and Visualization, Data Analysis, Information Theory, Error Correction, Cryptography, Computer Vision, Pattern Recognition, Machine Learning, Language Understanding, Translation, Summarization, Retrieval, Multi-Lingual and Multi-Modal Processing, and Embedded Systems.

Facilities

There are extensive facilities available to support the Department's programs. Laboratories for research and teaching encompass: advanced VLSI design and testing analog, automatic-control, biomedical instrumentation, broadband networks, computer networks and system integration, digital electronics and microprocessors, electro-optics, fine-line lithography, integrated power electronics, machine intelligence, optical device characterization, robot manipulation, signal processing and communication and wireless communication.

Relevant central facilities, research centers and research institutes include: the Automation Technology Center, Center for Networking, Center for Wireless Information Technology, Multimedia Technology Research Center, Nanoelectronics Fabrication Facility, Photonics Technology Center, Semiconductor Product Analysis and Design Enhancement Center.

In addition to the University's central computing facilities, the Department has over 200 Linux/Solaris workstations and over 900 PCs and Apple computers. Both industrial standard and research-oriented software are used by faculty and students for teaching and research.

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