Learning outcome
1.1

Strategy and planning

1.2

Security and privacy

1.3

Governance, risk and compliance

1.4

Advice and guidance

2.5

Change implementation

2.6

Change analysis

2.7

Change planning

3.8

Systems development

3.9

Data and analytics

3.10

User experience

3.11

Content management

3.12

Computational science

4.13

Technology management

4.14

Service management

4.15

Security services

5.16

People management

5.17

Skills management

6.18

Stakeholder management

6.19

Sales and marketing

A1

Demonstrate initiative and judgement in adapting algorithms to unique and diverse contexts;

A2

Review and interpret appropriate developments in Artificial Intelligence.

K1

Identify and explain a range of Artificial Intelligence algorithms and methodologies for solving complex problems;

K2

Recognize and outline historical and current progress across a range of Artificial Intelligence approaches.

K3

Explain how to design and deploy artificial intelligence so as to produce beneficial and equitable outcomes for society.

S1

Represent knowledge using different techniques to solve complex problems;

S2

Select, set up and apply appropriate algorithmic approaches for solving a variety of complex problems and real world situations;

S3

Apply abstract data models appropriate for a range of Artificial Intelligence solutions;

S4

Interpret, compare and report on algorithm performance in different contexts.

Learning outcome
1.1

ICT Fundamentals

1.2

ICT Infrastructure

1.3

Information & Data Science and Engineering

1.4

Computational Science and Engineering

1.5

Application Systems

1.6

Cyber Security

1.7

ICT Projects

1.8

ICT Management and Governance

2.1

Professional ICT Ethics

2.2

Impacts of ICT

2.3

Working Individually and in ICT development teams

2.4

Professional Communication

2.5

The Professional ICT Practitioner

A1

Demonstrate initiative and judgement in adapting algorithms to unique and diverse contexts;

A2

Review and interpret appropriate developments in Artificial Intelligence.

K1

Identify and explain a range of Artificial Intelligence algorithms and methodologies for solving complex problems;

K2

Recognize and outline historical and current progress across a range of Artificial Intelligence approaches.

K3

Explain how to design and deploy artificial intelligence so as to produce beneficial and equitable outcomes for society.

S1

Represent knowledge using different techniques to solve complex problems;

S2

Select, set up and apply appropriate algorithmic approaches for solving a variety of complex problems and real world situations;

S3

Apply abstract data models appropriate for a range of Artificial Intelligence solutions;

S4

Interpret, compare and report on algorithm performance in different contexts.