Sidebar

3.3.1    Bachelor of Technology (Business Analytics)

The BTech (Business Analytics) programme is offered in partnership with the School of Computing.  The BTech (Business Analytics) programme enables students to attain the following learning outcomes by the time of graduation:

  1. Strong knowledge of data analytics foundations and fundamentals, including:
    1. familiarity with data analytics and programming principles, and
    2. high and broad understanding of the application of analytics in various industrial domains.

  2. An ability to function effectively in teams to accomplish a common goal.
  3. An understanding of professional, ethical, legal, security, and social issues and responsibilities of analytics professionals.
  4. An ability to analyse the local and global impact of data analytics on individuals, organisations and society.
  5. Clear recognition of the need for and an ability to engage in continuing professional development.

Degree Requirements

Candidates must satisfy the following requirements to be conferred the degree of BTech (Business Analytics):

  • Complete a minimum of 160 MCs with a minimum CAP of 2.0 by taking modules as listed below;
  • Comply with the requirement that the limit on the number of Level-1000 modules to be counted towards fulfillment of graduation requirements being 60 MCs (including exemption of 20 MCs for polytechnic diploma holders); and
  • Satisfy any other additional requirements that may be prescribed by SCALE, the School of Computing, or the University.

    List of modules – BTech (Business Analytics), comprise:
    All modules are 4MCs, except when otherwise stated.

    1. University Level Requirements (20MCs)
      • Quantitative Reasoning (module with prefix GER)
      • Thinking and Expression (module with prefix GET)
      • Human Cultures (module with prefix GEH)
      • Asking Questions (module with prefix GEQ)
      • Singapore Studies (module with prefix GES)

       

    2. Programme Requirements (104MCs), comprising
      1. Major Requirements – Essential Modules (84MCs)


        Computing Foundations

        • TBA2103 Data Visualisation
        • TBA2105 Web Mining
        • TIC1001 Introduction to Computing and Programming I
        • TIC1002 Introduction to Computing and Programming II
        • TIC1101 Professional, Ethical and Social Issues in Computing
        • TIC2001 Data Structures and Algorithms
        • TIC2601 Database and Web Applications
        • TIC2901 Communication for Computing Professionals
        • TIC3901 Industrial Practice (12 MCs)

        Business Analytics Requirements

        • TBA2101 Building an Analytics Organisation
        • TBA2102 Introduction to Business Analytics
        • TBA2104 Predictive Analytics
        • TBA3102 Text Analytics
        • TBA3103 Application Systems Development for Business Analytics
        • TBA3204 Web Analytics
        • TBA4212 Search Engine Optimisation and Analytics

        Mathematics Requirements

        • TMA1001 Introductory Mathematics
        • TMA2101 Calculus for Computing
        • TMA2103 Probability and Statistics

      2. Major Requirements – Elective Modules (20 MCs, selected from the list below)

        – At least 3 out of 5 modules must be at level 4000.

        – Not all electives modules may be offered in any semester/year.  An elective module may not be offered if there is insufficient number of students opting for that module at any particular time.

        • TBA3150 Mobile App and Game Analytics
        • TBA3222 Marketing Analytics
        • TBA3241 Social Media Analytics
        • TBA4204 Financial Analytics
        • TBA4215 Workforce Analytics
        • TBA4230 Audit Analytics
        • TBA4250 Healthcare Analytics

    3. Unrestricted Elective Modules (36MCs)
      Note: 20 MCs will normally be given as Advanced Placement Credits to holders of diploma or higher qualifications.  They will need to complete 16MCs.

Study Schedule

There is only one intake per academic year in Semester 1 (i.e. August). One sample study schedule for a four-year candidature is shown below. This assumes the students’ work and other commitments allow them sufficient time to properly cope with their studies. Students are strongly advised to slow down if necessary so that they progress at their own comfortable pace.

A. Sample Study Schedule (4-year candidature beginning in Semester 1 of an AY):
1. The number of Modular Credits (MC) of a module is denoted by the number in the bracket.
2. Modules marked with an asterisk (*) are modules stretching over more than one semester and the total number of MCs will only be given upon completion of the module.

1st Year of studies
Sem 1: TMA1001 Introductory Mathematics (4)
TIC1001 Introduction to Computing and Programming I (4)
TBA2102 Introduction to Business Analytics (4)
Sem 2: TIC1002 Introduction to Computing and Programming II (4)
TMA2101 Calculus for Computing (4)
TBA2101 Building an Analytics Organisation (4)
SpTerm: General Education Module 1 – Quantitative Reasoning (4)
TIC2001 Data Structures and Algorithms (4)
2nd Year of studies
Sem 1: TMA2103 Probability and Statistics (4)
TIC1101 Professional, Ethical and Social Issues in Computing (4)
TIC2601 Database and Web Applications (4)
Sem 2: TBA2103 Data Visualisation (4)
TBA3204 Web Analytics (4)
TBA2104 Predictive Analytics (4)
SpTerm: General Education Module 2 – Asking Questions (4)
General Education Module 3 – Thinking and Expression (4)
3rd Year of studies
Sem 1: *TIC3901 Industrial Practice
TBA4212 Search Engine Optimisation and Analytics (4)                               TBA2105 Web Mining (4)
TIC2901 Communications for Computing Professionals (4)
Sem 2: *TIC3901 Industrial Practice (12)
TBA3102 Text Analytics (4)
Elective Module 1 (4)
Elective Module 2 (4)
SpTerm: General Education Module 4 – Human Cultures (4)
General Education Module 5 – Singapore Studies (4)
4th Year of studies
Sem 1: TBA3103 Application Systems Development for Business Analytics
Elective Module 3
Unrestricted Elective Module 1
Sem 2: Elective Module 4
Elective Module 5
Unrestricted Elective Module 2
SpTerm: Unrestricted Elective Module 3
Unrestricted Elective Module 4