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Master in Technology and Privacy (ON LINE)

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ASSESSMENT SYSTEM

– The basic assessment methodology is based on individual or group assignments.

– It is mandatory to deliver at least one practical assignment per subject. Depending on the lecturer, other assessment tests will take place during the course.

– It is mandatory to complete all the classroom-based sessions and deliver 100% of the assignments and activities for assessment in order to obtain the master’s degree.



PROGRAMME

MODULE 1. PRIVACY AND SURVEILLANCE CONCEPTS (I)

– The relationship between privacy, surveillance and data protection

– History and Sociology of surveillance: the Panoptic and beyond

– Surveillance dimensions: (institutional, corporate, interpersonal)

– Social relations and values under surveillance

– Resistance strategies: sousveillance and counterveillance

– Privacy, security and transparency

– Privacy Advocacy

 

MODULE 2. PRIVACY AND SURVEILLANCE CONCEPTS (II)

– Digital identification technologies and Dataveillance

– Identification practices and techno-social relations (STS)

– The economics of privacy

– Technology and surveillance risks (function creep, disclosure, discrimination, etc.)

– The surveillance industry: actors and experts

 

MODULE 3. LAW, POLICY, AND TECHNOLOGY

– The fundamentals of privacy law and policy

– Data protection principles and data subjects’ rights

– Who does what: privacy professionals, managers, and technologists

– DPAs: competences, possibilities, limitations

– Tapping, hacking and controversies (NSA, etc.)

– The transatlantic debate

– Limitations, problems and new technological developments

 

MODULE 4. DESIGN OF SECURE SYSTEMS

– Technological audit: software, hardware and networks

– Threat detection and modelling

– Cryptography, anonymity and re-identification

– Secure storage and authentication management

– Translating societal concerns into technological solutions

 

MODULE 5. MEASURING PRIVACY AND TECHNOLOGY IMPACTS

– PIAs, SIAs, DPIAs, etc.

– The policy cycle: problem definition, design, implementation, evaluation and indicators

– Stakeholders and value transfers: public authorities, private actors, media and civil society

– Responsible research and innovation and ethics

– Research project assessment and case studies

 

MODULE 6. TOOLS AND SECTORS (I) AND (II)

– Introduction to data tools: Metadata, The Cloud, Biometrics, Geo-location, Gamification, Algorithms, Big Data, Internet of Things, Social networks, DBs, Browsing, Drones

– Sectors:

  • Law enforcement
  • Health
  • Science and research
  • Workplace & Corporate
  • Marketing & behavioural advertising
  • Smart cities
  • Crisis management
  • Journalism
  • Banking
  • The entertainment industry

 

MODULE 7. PRIVACY MANAGER

– Duties and responsibilities of privacy managers

– European and international privacy and data protection frameworks

– Privacy policies in the public and private sectors and Public-Private Partnerships (PPP)

– Assessment of privacy risks and management of information requests

– Duties and responsibilities of privacy managers

– European and international privacy and data protection frameworks

– Privacy policies in the public and private sectors and Public-Private Partnerships (PPP)

– Assessment of privacy risks and management of information requests

– Data management and computer security

– Role of chief privacy officers and data protection officers

– Implementing an organizational privacy program and strategy

– Conducting a Privacy Impact Assessment (PIA)

– Engineering: Implementing Privacy by Design (PbD, PETs)

 

MODULE 8. FINAL ASSESSMENT

The master’s programme offers final assessment options that cater to different needs and career options. The programme can be completed through the professional or academic track.

Students who opt for the professional track undertake an internship, while those who opt for the academic track must write a research paper.

The second option, which takes the form of a final research project, involves presenting a proposal beforehand.

In conclusion, through its material and assessment options, the master’s programme enables students to choose various career paths and provides them with a broad-based skillset in the fields of technology, security, and privacy.

TEACHING STAFF
Teaching staff

–Antonella Galetta, PhD researcher, Vrije Universiteit Brussel

–Augusto Délkader, political scientist and public sector consultant

–Claudia Diaz, PhD, Assistant Professor at the COSIC research group of the Department of Electrical Engineering (ESAT) at the KU Leuven

–Elvira Santiago, postdoctoral researcher

–Francesco Flammini, PhD, IEEE Senior Member and ACM Distinguished Speaker

–Gemma Galdon Clavell, PhD in Public Policy

–Genís Margarit, telecom engineer and IT security consultant

–Gertjan Boulet, PhD candidate in Law at Faculty of Law & Criminology of Vrije Universiteit Brussel

–Gioacchino Mazzurco, computer science engineer

–Gloria Gonzalez Fuster, PhD in Law

–Hervé Falciani, Systems Engineer, whistle-blower and creator of the Falciani list, providing information on 130,000 suspected tax evaders with Swiss bank accounts

–Jacqui Taylor, PhD, web scientist

–Javier Toret, Degree in Psychology, member of the IN3/UOC Networks, Movements & Technopolitics research group

–Jose Manuel Pérez Marzabal, Master of Laws, PhD candidate

–Josian Llorente, cultural manager

–Katarzyna Szymielewicz, lawyer specialised in human rights and technology, co-founder and President of the Panoptykon Foundation

–Lisa Lucile Owens, PhD candidate and Paul F. Lazarsfeld Fellow at Columbia University, New York

–Mario Viola, PhD in Law

–Xosé Quiroga, Bachelor of Laws, journalist

*The management team  reserves all rights to make changes If any teacher can’t teach a subject, always ensuring the same quality and professional category levels.


Management

– Gemma Galdon Clavell. PhD in Public Policy.



Coordination

–Alejandro Vélez, political scientist, PhD in Humanities



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