Minor in Business Analytics

Objectives

The objectives of the Minor in Business Analytics are:

  • To provide a business analytics minor programme within NUS for non-computing students;
  • To produce graduates who are able to understand business analytics principles and practices and apply it in a multi-disciplinary context.

Student Learning Outcomes

The Minor in Business Analytics enables students to attain, by the time of graduation:

  • Strong foundational knowledge of business analytics principles, including (a) familiarity with common business analytics methodologies and principles, (b) high-level understanding of data-driven analytics as a whole, (c) understanding of the theoretical underpinnings of business analytics and their influences in practice.
  • An ability to function effectively in teams to accomplish a common goal.
  • Recognition of the need for and an ability to engage in continuing professional development.

Eligibility

The Minor in Business Analytics programme offers direct admission. Students applying for the Minor in Business Analytics must meet the entry requirement:

  • For diploma holders: Diploma with at least an A2 in GCE ‘O’ level Elementary Mathematics or at least a B3 grade in GCE ‘O’ level Additional Mathematics.

  • For A-Level Holders: At least a H2 pass in Mathematics.

Students from cohort 2016/17 or later who have taken CS1010S (or its equivalent) and BT1101 (or its equivalent) as part of their degree requirements can apply for entry into Minor in Business Analytics starting Semester 1, AY2017-18.

The Minor in Business Analytics programme is not available to students in the following degree programmes offered (or jointly) by the School of Computing:

  • B.Comp. (Information Security)

  • B.Comp. (Computer Science)
  • B.Comp. (Computational Biology)
  • B.Comp. (Information Systems)
  • B.Sc. (Business Analytics)
  • B.Sc. (Data Science and Analytics)

In addition, BBA and BBA (Accountancy) students who are matriculated from AY2017/18 onwards and specialised in Business Analytics are not allowed to graduate with a Minor in Business Analytics.

Application

School of Computing Minor/Second major are restricted programmes which students must apply during the prescribed application window specified by the School via EduRec. Students will not be able to declare themselves in the Academic Plan Declaration Exercise (APAD) before CourseReg begins for each semester. APAD is only for open minors/second majors which do not require special approval from the host department to approve.

To apply for School of Computing minor/second major programme, students must submit their application to the School of Computing by the 4th semester of study, for enrolment at the start of their 5th semester of study.

With the recent revision to total unit requirements for Minor and Second Major programmes, the School is making special provision to allow students from Cohort 2019 a final application round to apply for School of Computing minor/second major programmes in Sem 1 AY21-22 only, for enrolment at the start of Sem 2 AY21-22. Any late request to enroll after our application window has closed will not be entertained.

Please take note that the application date will typically be from the Friday (9:00 AM) before reading week of each regular semester till end of first week of examinations on Sunday (11:59 PM), based on NUS academic calendar hereKindly refer here for more information on the application procedure for restricted programmes.

Continuation and graduation requirements

For students following the enhanced grade-free scheme for S/U option: The S/U option is available for courses that are part of a student’s Minor requirements if they fall under the criteria stated for their cohort, and as long as the student has at least a minimum 16 units of the Minor requirement earned from courses read in NUS (i.e., graded courses with assigned grade points or courses with an ‘S’ or ‘CS’ grade) out of the 24 units to fulfill the Minor requirements towards graduation.

Students will need to complete the primary major requirements to graduate. 

Structure

The Minor in Business Analytics will be awarded to students from Cohorts 2021 onwards who satisfied the 20 units for the minor requirement.

The Minor in Business Analytics to be structured as follows:

  • Core courses = 12 units
  • Elective courses = 8 units

The table below shows the programme structure in details.

Programme StructureUnits
Core Courses12
BT1101 Introduction to Business Analytics4
BT2101 Econometrics Modeling For Business Analytics4
CS1010S Programming Methodology **4
Elective Courses8

Complete 8 units of courses in the list below:BT2102 Data Management and Visualisation
BT3103 Application Systems Development for Business Analytics
BT4014 Analytics Driven Design of Adaptive Systems
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
BT4240 Machine Learning for Predictive Data Analytics
IS4241 Social Media Network Analysis
ST3131 Regression Analysis

 
Grand Total20

** CS1010S can be replaced by CS1101S/CS1010/E/S/X/FC/J. But students need to apply for the course substitution as advanced courses may need the taught programming language in CS1010S and it is imperative that students who take CS1010S equivalent are aware of it. Students who are waived from completing CS1010 or its equivalent must complete another 4 units of elective courses.

The Minor in Business Analytics will be awarded to students from Cohorts 2019/20 to 2020/21 who satisfied the 20 units for the minor requirement.

The Minor in Business Analytics to be structured as follows:

  • Core courses = 12 units
  • Elective courses = 8 units

The table below shows the programme structure in details.

Programme StructureUnits
Core Courses12
BT1101 Introduction to Business Analytics4
BT2101 Econometrics Modeling For Business Analytics4
CS1010S Programming Methodology **4
Elective Courses8

Complete 8 units of courses in the list below:
BT2102 Data Management and Visualisation+
BT3103 Application Systems Development for Business Analytics
BT4014 Analytics Driven Design of Adaptive Systems
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
BT4240 Machine Learning for Predictive Data Analytics
IS3221 ERP Systems with Analytics Solutions
IS4241 Social Media Network Analysis
ST3131 Regression Analysis

4 units each

Grand Total20

** CS1010S can be replaced by CS1101S/CS1010/E/S/X/FC/J. But students need to apply for the course substitution as advanced courses may need the taught programming language in CS1010S and it is imperative that students who take CS1010S equivalent are aware of it. Students who are waived from completing CS1010 or its equivalent must complete another 4 units of elective courses.

Some of these courses require prerequisites from outside this list. Students must have the prerequisites to take them.

+ For students who have taken BT2102 prior to AY2021/22 Semester 1, BT2102 can serve to fulfil one 4 units elective course requirement. Also, no single course can be used to fulfil both core and elective course requirements.

A minimum of 60% of the total units of the Minor requirements must be earned from courses read in NUS. Courses read at NUS include all courses taught, co-taught, supervised or co-supervised by NUS faculty members. These consist of graded courses or courses with an ‘S’ or ‘CS’ grade. The remaining units may be earned through credit transfers, advanced placement and exemptions, from courses deemed relevant to the particular Second Major or Minor.

The Minor in Business Analytics will be awarded to students from Cohorts 2018 and earlier who satisfy the 24 units for the minor requirement. The Minor in Business Analytics to be structured as follows:

  • Core courses = 16 units
  • Elective courses = 8 units

The table below shows the programme structure in details.

Programme StructureUnits
Core Courses16
BT1101 Introduction to Business Analytics 14
BT2101 Decision Making Methods and Tools/Decision Making Methods and Tools/4
BT2102 Data Management and Visualisation4
CS1010S Programming Methodology 24
Elective Courses8
Complete 8 units of courses in the list below:
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
IS3221 ERP Systems with Analytics Solutions
IS4241 Social Media Network Analysis
 
4
4
4
4
4
4

Grand Total

24

1 BT1101 can be replaced by DSC1007.

2 CS1010S can be replaced by CS1101S/CS1010/E/S/X/FC/J. But students need to apply for the course substitution as advanced courses may need the taught programming language in CS1010S and it is imperative that students who take CS1010S equivalent are aware of it. Students who are waived from completing CS1010 or its equivalent must complete another 4 units of elective courses.

Some of these courses require prerequisites from outside this list. Students must have the prerequisites to take them.

A minimum of 16 units of the Minor requirements must be earned from courses read in NUS. The other 8 units may be earned through credit transfers, advanced placement and exemptions, provided these units are earned from courses deemed relevant to the particular Minor programme.