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School of Computer Science BCS accreditation 2021 - 2026

B.1 Programme data

Programme titleArtificial Intelligence MEng (Hons)
Date programme first offered2005
Date programme revised2019
Mode(s) of studyFT
Programme duration4 years
Student intake to programme for current academic year8 students
Names, positions and dates of appointments of external examinersIain Philips - Dr Iain Philips, Senior Lecturer (Loughborough University), 1st October 2019 - 31st December 2023
Accreditation soughtCITP, CEng,
Accreditation period sought2021-2026
Programme also accredited byNone
Responsible departmentDepartment of Computer Science

B.2.4 map of core course units to Artificial Intelligence MEng (Hons)

Table key

   = assessed mandatory learning outcome

   = assessed optional learning outcome

   = unassessed mandatory learning outcome

   = unassessed optional learning outcome

   = not relevant for accreditation

2.1.1 Knowledge and understanding of facts, concepts, principles & theories
  
2.1.1 Knowledge and understanding of facts, concepts, principles & theories
2.1.2 Use of such knowledge in modelling and design
 
 
 
  
2.1.2 Use of such knowledge in modelling and design
2.1.3 Problem solving strategies
 
  
 
2.1.3 Problem solving strategies
2.1.4 Analyse if/how a system meets current and future requirements
   
 
 
 
  
 
  
  
2.1.4 Analyse if/how a system meets current and future requirements
2.1.5 Deploy theory in design, implementation and evaluation of systems
 
 
 
  
 
 
  
2.1.5 Deploy theory in design, implementation and evaluation of systems
2.1.6 Recognise legal, social, ethical & professional issues
   
 
  
  
   
     
 
  
  
 
2.1.6 Recognise legal, social, ethical & professional issues
2.1.7 Knowledge and understanding of commercial and economic issues
      
  
 
   
  
 
 
 
 
 
 
 
2.1.7 Knowledge and understanding of commercial and economic issues
2.1.8 Knowledge of management techniques to achieve objectives
        
     
        
   
  
 
 
2.1.8 Knowledge of management techniques to achieve objectives
2.1.9 Knowledge of information security issues
     
 
 
    
  
 
 
 
      
 
 
2.1.9 Knowledge of information security issues
2.2.1 Specify, design or construct computer-based systems
  
  
 
  
  
 
 
2.2.1 Specify, design or construct computer-based systems
2.2.2 Evaluate systems in terms of quality and trade-offs
 
 
  
  
 
 
2.2.2 Evaluate systems in terms of quality and trade-offs
2.2.3 Recognise risk/safety for safe operation of computing equipment
     
  
      
  
   
 
       
 
 
2.2.3 Recognise risk/safety for safe operation of computing equipment
2.2.4 Deploy tools effectively
  
    
 
 
   
  
  
 
  
2.2.4 Deploy tools effectively
2.3.1 Work as a member of a development team
        
          
   
   
   
 
 
2.3.1 Work as a member of a development team
2.3.2 Development of general transferable skills
  
 
  
  
 
2.3.2 Development of general transferable skills
3.1.1 Deploy systems to meet business goals
      
              
  
     
 
 
3.1.1 Deploy systems to meet business goals
3.1.2 Methods, techniques and tools for information modelling, management and security
  
   
 
      
     
 
    
 
 
 
3.1.2 Methods, techniques and tools for information modelling, management and security
3.1.3 Knowledge of systems architecture
  
 
 
   
   
 
 
    
 
3.1.3 Knowledge of systems architecture
3.1.4 Knowledge and understanding of mathematical and/or statistical principles
 
     
  
   
 
 
  
 
3.1.4 Knowledge and understanding of mathematical and/or statistical principles
3.2.1 Specify, deploy, verify and maintain information systems
     
        
     
   
    
 
 
3.2.1 Specify, deploy, verify and maintain information systems
3.2.2 Defining problems, managing design process and evaluating outcomes
   
 
  
    
        
 
 
   
 
3.2.2 Defining problems, managing design process and evaluating outcomes
3.2.3 System Design
 
 
 
 
        
 
 
   
 
 
3.2.3 System Design
4.1.1 Knowledge and understanding of scientific and engineering principles
 
 
   
  
  
 
    
 
 
4.1.1 Knowledge and understanding of scientific and engineering principles
4.1.2 Knowledge and understanding of mathematical principles
 
     
  
   
 
  
   
 
4.1.2 Knowledge and understanding of mathematical principles
4.1.3 Knowledge and understanding of computational modelling
  
       
  
  
   
   
 
4.1.3 Knowledge and understanding of computational modelling
4.2.1 Specify, deploy, verify and maintain computer-based systems
 
       
     
   
   
   
    
 
 
4.2.1 Specify, deploy, verify and maintain computer-based systems
4.2.2 Defining problems, managing design process and evaluating outcomes
   
 
  
    
        
 
 
   
 
4.2.2 Defining problems, managing design process and evaluating outcomes
4.2.3 Principles of appropriate supporting engineering and scientific disciplines
   
     
               
       
 
4.2.3 Principles of appropriate supporting engineering and scientific disciplines
5.1 Additional criteria for integrated Masters
                 
               
 
 
5.1 Additional criteria for integrated Masters

Table key

   = assessed mandatory learning outcome

   = assessed optional learning outcome

   = unassessed mandatory learning outcome

   = unassessed optional learning outcome

   = not relevant for accreditation

7.1.1 Critical review of literature
 
7.1.1 Critical review of literature
7.1.2 Development of the self-directed learner
 
 
 
7.1.2 Development of the self-directed learner
7.1.3 Respond to opportunities for innovation
 
   
  
7.1.3 Respond to opportunities for innovation
7.1.4 Participate in the peer review processements
    
   
 
   
7.1.4 Participate in the peer review processements
7.1.5 Undertake risk management
  
     
 
 
7.1.5 Undertake risk management
7.1.6 Use appropriate processes
 
  
    
 
7.1.6 Use appropriate processes
7.1.7 Investigate and define a problem
  
  
 
 
7.1.7 Investigate and define a problem
7.1.8 Apply principles of supporting disciplines
   
 
   
7.1.8 Apply principles of supporting disciplines
7.1.9 Work as a member of a development team
  
   
   
 
7.1.9 Work as a member of a development team
8.1.1 Systematic understanding of knowledge of the domain with depth in particular areas
8.1.1 Systematic understanding of knowledge of the domain with depth in particular areas
8.1.2 Comprehensive understanding of essential principles and practices
 
 
 
 
8.1.2 Comprehensive understanding of essential principles and practices
8.1.3 Legal, Social Ethical and Professional issues
 
  
  
   
8.1.3 Legal, Social Ethical and Professional issues
8.2.1 Produce work informed by research at the forefront
  
 
 
8.2.1 Produce work informed by research at the forefront
8.2.2 Tackling a significant technical problem
 
  
8.2.2 Tackling a significant technical problem
9.1.1 Systematic understanding of knowledge at the forefront in development and implementation of systems
 
 
  
9.1.1 Systematic understanding of knowledge at the forefront in development and implementation of systems
9.1.2 Comprehensive understanding of the state of the art techniques
 
 
 
  
9.1.2 Comprehensive understanding of the state of the art techniques
9.1.3 Legal, Social Ethical and Professional issues
 
  
  
   
9.1.3 Legal, Social Ethical and Professional issues
9.2.1 Develop and apply new technologies
   
  
  
  
9.2.1 Develop and apply new technologies
9.2.2 Show originality and innovation
 
  
 
 
 
9.2.2 Show originality and innovation
9.2.3 Evaluation of commercial risk
    
         
9.2.3 Evaluation of commercial risk
10.1.1 Systematic understanding of knowledge at the forefront in computing science research
 
 
  
 
10.1.1 Systematic understanding of knowledge at the forefront in computing science research
10.1.2 Comprehensive understanding of the scientific techniques
  
   
  
  
  
10.1.2 Comprehensive understanding of the scientific techniques
10.1.3 Legal, Social Ethical and Professional issues
 
  
  
   
10.1.3 Legal, Social Ethical and Professional issues
10.2.1 Critical awareness of current research issues, problems and/or insights
  
 
 
 
10.2.1 Critical awareness of current research issues, problems and/or insights
10.2.2 Quantitative and qualitative research methods
  
 
   
  
10.2.2 Quantitative and qualitative research methods
10.2.3 Evaluation of scientific risk
       
    
10.2.3 Evaluation of scientific risk

B.8 Graduation

AIAI with IEMENG AIMENG AI IE
Entry routes2017/182016/172016/172015/162016/172015/162015/162014/15
Initial entry45512110
Transfer into programme20220100
Fail during programme00000000
Withdrawal during programme00101100
Other (transfer in School/repeat)00001000
Total sitting finals65630110
Awards2019/202018/192019/202018/192019/202018/192019/202018/19
Awarded I42520110
Awarded IIi11110000
Awarded IIii11000000
Awarded III01000000
Awarded Pass00000000
DipHE (exit)00000000
Fail00000000
Other (CertHE)00000000