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Course Includes:

  • Intakes:Jan /Apr /Jul /Oct
  • Duration: 3/6 months
  • ECTS:6 credits
  • Mode:Face-to-face
  • Language:British English
  • MQF Level / EQF Level :Level 7

Award in Advanced Quantitative Techniques for Business Research 2

Following the successful completion of the Advanced Quantitative Techniques for Business Research 1, this course delves into advanced methods of machine learning and data mining for business research. It explores how data can be analyzed and interpreted using these techniques. Students will learn Machine Learning algorithms, Structural Equation Modeling (SEM), and advanced data mining techniques. The course emphasizes selecting and applying appropriate techniques to address complex research questions, interpreting and communicating results effectively, and assessing assumptions, limitations, and implications of advanced techniques.

  • PROGRAMME OVERVIEW
    Module Code MSC-BE-D6
    Module Title Advanced Quantitative Techniques for Business Research 2
    MQF/EQF Level 7
    ECTS 6
    Licence Number 2021-018
    Total Learning Hours 150
    Contact Hours 30
    Supervised Placement/Practice Hours 10
    Self-Study Hours 80
    Assessment Hours 30
    Mode of Delivery Fully Face-to-Face Learning
    Language British English
    Delivery Address Floriana Campus : 23, Triq Vincenzo Dimech, Floriana, Malta.
    Swieqi Campus : 88, 90 Triq It-Tiben, Swieqi SWQ 3034, Malta.
  • TEACHING, LEARNING, AND ASSESSMENT
    Assessment

    Exam: 1.5 hours (70%) Continuous Assignments: 30%

    Teaching and Learning Methods

    Lectures and tutorials; In-class practice exercises; Group sessions

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