Master of Science Data Analysis

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  • The aim of the programme is to produce graduates who master data analytical skills and are able to create knowledge from data, and solve real life problems in multidisciplinary fields. This unique programme implements a holistic approach in data analysis by including both qualitative and quantitative aspects plus variety of methods through hands-on approach. This programme will produce data analyst who is capable of analysing a diversity of data (qualitative: text, narrative & visual; and quantitative: numerical) that is very much needed in the industries specifically in research and development (R&D). Quality research findings triggered the innovation and this is important to become a developed nation by 2020.

    The objectives of the programme are as follows:

    1. To produce graduates capable of analysing qualitative (text, narrative & visual) and quantitative data (numerical).
    2. To infuse graduates with the knowledge, skills and creativity in data analysis and solving problems.
    3. To develop graduates to be competent in conducting research.
    4. To enhance the graduates’ ability to effectively express ideas verbally and in written form.

    CONTACT PERSON

    For further information regarding the programme please contact:
    Associate Professor Dr Suzilah Ismail
    School of Quantitative Sciences
    Universiti Utara Malaysia
    06010 UUM Sintok
    This email address is being protected from spambots. You need JavaScript enabled to view it.; +604-9286419
  • ADMISSION REQUIREMENT

    • A Bachelor’s degree with honours from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of at least 2.75; OR

    • A Bachelor’s degree from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of not less than 2.75 and work experience in related field; OR

    • A Bachelor’s degree with honours in Pure Sciences or Science or Technology or any other professional fields  from Universiti Utara Malaysia or any other institutions of higher learning recognized by the University Senate with a CGPA of at least 2.50; OR

    • Any other equivalent qualifications recognized by the University Senate; AND

    • Fulfil the English Language requirement as set by the University Senate.
  • PROGRAMME STRUCTURE

    The Master of Science (Data Analysis) programme is offered by coursework. Students are required to complete at least 41 credit hours, which comprises the following:

    CORE COURSES (29 CREDIT HOURS)

    SQQM5013          Risk Analysis
    SQQS5013          Exploratory Data Analysis
    SQQS5023          Inferential Techniques
    SQQS5034          Qualitative Data Analysis
    SQQS5043          Psychometrics
    SQQS5053          Applied Multivariate Data Analysis
    SQQS5063          Forecasting Techniques
    SQQP6014          Operational Research
    SQQS6013          Research Methods

    ELECTIVE COURSES (6 CREDIT HOURS)

    SQQS5073        Structural Equation Modelling
    SQQS5083        Body Language Analysis
    SQQS5093        Rasch Analysis
    SQQS5103        Quality Management and Improvement
    SQQS5113        Applied Survival Analysis
    SQQM5023       Topics in Mathematical Modelling
    SQQP5043        Simulation for Decision Making
    SQIT5013         Business Programming Using Visual Tools
    SQQP6023        Heuristic Techniques for Combinatorial Optimization Problems

    PROJECT PAPER (6 CREDIT HOURS)

    SQSZ6996       Project Paper


    DURATION OF STUDY

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    M.Sc. (Data Analysis) Structure


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    Elective courses:

    Code

    Courses

    Credit Hour

    SQQS5073

    Structural Equation Modelling

    3

    SQQS5083

    Body Language Analysis   

    3

    SQQS5093

    Rasch Analysis

    3

    SQQS5103

    Quality Management and Improvement

    3

    SQQS5113

    Applied Survival Analysis

    3

    SQQM5023

    Topics in Mathematical  Modelling

    3

    SQQP5043

    Simulation for Decision Making

    3

    SQIT5013

    Business Programming Using Visual Tools

    3

    SQQP6023

    Heuristic Techniques for Combinatorial Optimization Problems

    3



 

 

 

 

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