MSc in AI Governance, Risk, and Compliance
Augmented legal professions, new hybrid roles, and diverse work environments.
What career paths are available after earning an MSc?
The MSc in AI Governance, Risk & Compliance does not replace the legal expertise gained through a five-year degree program or over the course of a career. Rather, it enhances that expertise with a new set of skills: understanding technologies, mastering AI and data law, managing risks, and supporting the responsible deployment of AI.
Augmented Legal Professions
As AI becomes more widespread and regulatory requirements increase.
Augmented Work
Advise the organization on AI systems and data processing, identify applicable requirements, and support projects from design through deployment.
Augmented Work
Leverage AI for research, monitoring, contract analysis, drafting, and due diligence, while enhancing the quality of legal reasoning and decision-making.
Augmented Work
Use AI to accelerate analysis and production, while developing expertise on new legal disputes and liabilities related to data and AI systems.
Augmented Work
Lead the transformation of the legal function, define guidelines for the use of AI, and support senior management in balancing innovation, risk, and accountability.
Augmented Work
Integrating AI into data protection issues: profiling, automated decisions, training data, data transfers, vendors, governance, and Privacy by Design.
Augmented Work
Move from compliance that is primarily regulatory in nature to an approach that integrates AI, data, risk, monitoring, documentation, and continuous control.
Augmented Work
Integrate data risks, models, generative AI, agents, suppliers, and sovereignty into comprehensive risk management frameworks.
Augmented Work
Rethink the processes, tools, data, and organization of the legal department to develop new workflows that integrate professionals and AI systems.
And new hybrid roles
Hybrid role
Develop and manage the AI governance framework: inventory of systems, policies, responsibilities, committees, controls, documentation, and human oversight.
Hybrid role
Identify applicable requirements, map risks, develop controls, and monitor the compliance of AI systems.
Hybrid role
Integrate compliance, ethics, fundamental rights, risk management, and principles of trust 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 defining their use cases, establishing their governance frameworks, conducting risk assessments, and implementing compliance programs.
Hybrid role
Evaluate the control and auditability mechanisms of AI systems by analyzing their architecture, data, models, agents, logs, and monitoring mechanisms.
Hybrid role
Leading the adoption of generative and agent-based AI in legal departments and compliance functions: process transformation, governance, and employee support.
A variety of professional settings
The output profile
The MSc does not prepare students for a single career path. It prepares a new generation of legal professionals and experts capable of managing artificial intelligence.
01
Define use cases, interpret rules, and ensure sound decision-making.
02
Understand data, models, architectures, and agents well enough to be able to challenge them.
03
Develop controls, document decisions, assess risks, and organize oversight.
04
Go beyond mere compliance to strike a balance between innovation, performance, fundamental rights, ethics, and trust.
The information presented on this page is provided for informational purposes only and is not 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 provided at the time of registration.