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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016
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DRPS : DPTs :  School of Informatics DPTs

Degree Programme Table: Data Science (MSc)(R) (PRMSCDATSC1F)

Year 1, Academic year 2015/16, Starting month: September

  • Notes: Before selecting your outside courses, please ensure you have met your Personal Tutor.


    • COMPULSORY COURSES
    This DPT has 1 compulsory course(s).


    Code  Course Name  Period  Credits 
    INFR11105 Introduction to Research in Data Science As available 30




    COURSE OPTIONS
    This DPT has 10 set(s) of course options with the following rules.


    Overarching rule collection group: A  
    Select exactly 150 credits from these collections:  

    Select exactly 90 credits course level 11, as available
    INFR11106     MSc by Research Thesis (Data Science)     (90 credits)

     
    AND   

    Select a minimum of 10 credits and maximum of 40 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11073    Machine Learning & Pattern Recognition (Level 11)   10  
    INFR11050    Probabilistic Modelling and Reasoning   10  
    INFR11010    Reinforcement Learning   10  
    MATH11085    Statistical Theory   10  
    MATH11086    Statistical Regression Models   10  
    MATH11121    Likelihood and Generalized Linear Models   10  
    MATH11024    The Analysis of Survival Data   10  
    MATH11111    Fundamentals of Optimization   10  
    MATH11030    Combinatorial Optimization   5  
    MATH11031    Nonlinear Optimization   10  
    MATH11010    Stochastic Optimization   5  
    MATH11146    Modern Optimization Methods for Big Data Problems   10  
    INFR10063    Introductory Applied Machine Learning   10  

    Notes:These are courses in Machine Learning, Statistics, and Optimization open to taught postgraduate students.
     
    AND   

    Select a minimum of 10 credits and maximum of 40 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11088    Extreme Computing   10  
    INFR11015    Applied Databases   10  
    INFR11122    Advanced Topics in Foundations of Databases   20  

    Notes:These are courses in Databases and Data Management Systems open to taught postgraduate students.
     
    AND   

    Select a minimum of 10 credits and maximum of 40 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11100    Text Technologies for Data Science   10  
    INFR11062    Machine Translation (Level 11)   10  
    INFR11016    Bioinformatics 1   10  
    INFR11005    Bioinformatics 2   10  
    INFR11035    Neural Information Processing   10  
    INFR11033    Automatic Speech Recognition   10  
    LASC11062    Speech Synthesis   10  
    INFR11061    Natural Language Understanding (Level 11)   10  
    INFR09028    Foundations of Natural Language Processing   10  
    INFR11125    Accelerated Natural Language Processing   20  
    INFR11031    Advanced Vision (Level 11)   10  
    MATH11158    Optimization Methods in Finance   10  

    Notes:These are courses in Unstructured Data and Applications open to taught postgraduate students.
     
    AND   

    Select a minimum of 0 credits and maximum of 30 credits from Level 11 courses in Schedules A to Q, T and W, as available

    Notes:This refers to all level 11 courses in all schools other than Medicine or Veterinary Studies.
     
    AND   

    Select a minimum of 0 credits and maximum of 10 credits from Level 9 and 10 courses in Schedules A to Q, T and W, as available

    Notes:This refers to all level 9 and 10 courses in all schools other than Medicine or Veterinary Studies.
     


    OR   

    Overarching rule collection group: B  
    Select exactly 150 credits from these collections:  

    Select exactly 120 credits course level 11, as available
    INFR11107     MSc by Research Thesis (Data Science; 120pt)     (120 credits)

     
    AND   

    Select exactly 10 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11073    Machine Learning & Pattern Recognition (Level 11)   10  
    INFR11050    Probabilistic Modelling and Reasoning   10  
    INFR11010    Reinforcement Learning   10  
    MATH11085    Statistical Theory   10  
    MATH11086    Statistical Regression Models   10  
    MATH11121    Likelihood and Generalized Linear Models   10  
    MATH11024    The Analysis of Survival Data   10  
    MATH11111    Fundamentals of Optimization   10  
    MATH11030    Combinatorial Optimization   5  
    MATH11031    Nonlinear Optimization   10  
    MATH11010    Stochastic Optimization   5  
    MATH11146    Modern Optimization Methods for Big Data Problems   10  
    INFR10063    Introductory Applied Machine Learning   10  

    Notes:These are courses in Machine Learning, Statistics, and Optimization open to taught postgraduate students.
     
    AND   

    Select exactly 10 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11088    Extreme Computing   10  
    INFR11015    Applied Databases   10  
    INFR11122    Advanced Topics in Foundations of Databases   20  

    Notes:These are courses in Databases and Data Management Systems open to taught postgraduate students.
     
    AND   

    Select exactly 10 credits from the following list of courses, as available
    Code   Course Name   Credits
    INFR11100    Text Technologies for Data Science   10  
    INFR11062    Machine Translation (Level 11)   10  
    INFR11016    Bioinformatics 1   10  
    INFR11005    Bioinformatics 2   10  
    INFR11035    Neural Information Processing   10  
    INFR11033    Automatic Speech Recognition   10  
    LASC11062    Speech Synthesis   10  
    INFR11061    Natural Language Understanding (Level 11)   10  
    INFR09028    Foundations of Natural Language Processing   10  
    INFR11125    Accelerated Natural Language Processing   20  
    INFR11031    Advanced Vision (Level 11)   10  
    MATH11158    Optimization Methods in Finance   10  

    Notes:These are courses in Unstructured Data and Applications open to taught postgraduate students.
     



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