MSc AI Governance, Risk & Compliance
Augmented legal careers, new hybrid roles, and diverse professional environments.
What careers are available after the MSc?
The MSc AI Governance, Risk & Compliance does not replace the legal specialization you acquired through a five-year degree program or during your career. It augments it with a new capability: understanding technologies, mastering AI and data law, governing risks, and supporting their responsible deployment.
Augmented legal careers
As AI becomes more widespread and regulatory requirements multiply.
Augmented Role
Advise the organization on AI systems and data processing, identify applicable obligations, and support projects from design through deployment.
Augmented Role
Leverage AI for research, monitoring, contract analysis, drafting, and due diligence, while enhancing the quality of legal reasoning and decision-making.
Augmented Role
Use AI to accelerate analysis and case preparation, while developing expertise in new types of litigation and liabilities related to data and AI systems.
Augmented Role
Steer the transformation of the legal function, define guidelines for AI use, and support senior management in balancing innovation, risk, and liability.
Augmented Role
Integrate AI into data protection issues: profiling, automated decisions, training data, data transfers, vendors, governance, and Privacy by Design.
Augmented Role
Moving from a primarily regulatory compliance approach to one that integrates AI, data, risk, monitoring, documentation, and ongoing controls.
Augmented Role
Integrate data risks, models, generative AI, agents, vendors, and sovereignty into comprehensive risk management frameworks.
Augmented Role
Rethink processes, tools, data, and the organization of the legal function to develop new workflows that combine professionals and AI systems.
And new hybrid roles
Hybrid Role
Build and steer the AI governance framework: inventory of systems, policies, responsibilities, committees, controls, documentation, and human oversight.
Hybrid Role
Identify applicable obligations, map risks, establish controls, and monitor the compliance of AI systems.
Hybrid Role
Integrate compliance, ethics, fundamental rights, risk management, and trust principles into the design and deployment of AI.
Hybrid Role
Jointly organize the governance of data and AI systems, from data quality and traceability to the monitoring of models and agents.
Hybrid Role
Support organizations in assessing their use cases, establishing governance frameworks, conducting risk analyses, and implementing compliance programs.
Hybrid Role
Evaluate the control and auditability mechanisms of AI systems by analyzing architecture, data, models, agents, audit trails, and monitoring mechanisms.
Hybrid Role
Steer the implementation of generative and agent-based AI in legal departments and compliance functions: process transformation, governance, and employee support.
Multiple professional environments
The Graduate Profile
The MSc does not prepare students for a single career path. It prepares a new generation of legal professionals and experts capable of governing Artificial Intelligence.
01
Qualify uses, interpret rules, and secure decisions.
02
Understand data, models, architectures, and agents well enough to be able to challenge them.
03
Establish controls, document decisions, measure risks, and organize oversight.
04
Go beyond mere compliance to balance innovation, performance, fundamental rights, ethics, and trust.
The information presented on this page is for informational purposes only and is not contractually binding. Given the rapid evolution of Artificial Intelligence and data, aivancity reserves the right to modify the program content, certifications, terms and conditions, schedule, and fees. The final terms and conditions are those communicated at the time of enrollment.