Overview

Motivation

The emerging phenomena of Big Data - large pools of data sets that can be captured, communicated, aggregated, stored, and analyzed - has presented companies and organisations with trillions of bytes of information about their customers, suppliers, and operations. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. Big data is now part of every industry sector and function of the global economy. It is increasingly the case that modern economic activity, innovation, and growth have to take place with data and the related analytic processes, methods and outputs. The discipline of business analytics (BA) enables companies and organisations to realise the full potential of data generated from various business processes, sources and devices, thus improving their speed and effectiveness in generating business insights and intelligence for optimal decision making purposes.

Programme Introduction

The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today.

Programme Learning Objectives

Learning objectives of the Bachelor of Science (Business Analytics) degree programme are:

  • To understand the conceptual and methodological foundations of analytical methods and techniques for business analytics, as referenced from disciplines such as computing, engineering, science, mathematics, statistics, business and economics
  • To appreciate and understand current business analytics problems in the industry worldwide and be able to identify and resolve practically relevant business analytics questions and issues
  • To apply appropriate analytic tools and techniques to resolve complex business analytics problems in various industry sectors and domains
  • To cultivate the practices of independent and group learning on the part of students that will prepare them to function effectively for diverse careers in business analytics

Career Prospects for Business Analytics (BA) Graduates

Graduates of this BA degree programme are expected to have career choices as business intelligence analysts, research analysts, quantitative data modelers, marketing analysts, supply chain optimization analysts, decision science analysts, revenue optimization analysts, business intelligence specialists or engineers, IT business analysts, web analytics consultants, BA consultants, etc. They are expected to find employment in both leading public and private firms and organizations (e.g., SPSS, SAS, Acorn Marketing & Research, The Nielsen Company, Singtel, IBM Research, Google, Facebook, Singapore Airlines) where there are intensive needs for data processing and analyses, as well as business intelligence insights.

 

Curriculum and Admission

Degree Requirements and Curriculum

This programme is offered as a four-year direct honours Bachelor of Science (Business Analytics) degree programme. Upon completion of the core module requirements, students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules.

Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective modules span the most exciting and challenging areas of BA practice in the industry today.

The core and compulsory components of the BA programme are as follows:

  • Common modules at level 1000/2000 = 64 MCs
  • Common modules at level 3000/4000 = 20 MCs
  • Final-Year Project = 12 MCs

In total, the 160 MCs requirement for graduation are broken down as follows:

  • Core modules = 96 MCs (21 modules x 4 MCs + FYP of 12 MCs)
  • Elective modules = 24 MCs (6 modules x 4 MCs)
  • University level requirements = 20 MCs
  • Unrestricted electives = 20 MCs

This programme offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. After the first two years of studies, students will be equipped with the necessary foundational knowledge to take more specialised modules in their third and fourth years. Please see the section on “Programme Requirements for Bachelor of Science (Business Analytics)” for the list of core and elective course modules in the curriculum.

Admission Requirements

For Diploma Holders:
Selected (on case-by-case basis) Polytechnic Diploma* or Polytechnic Diploma* with at least an A2 grade in GCE O level Elementary Mathematics or at least a B4 grade in GCE O level Additional Mathematics.
*: Students without the relevant A level subject may need to take specified bridging modules (e.g., MA1301 Introductory Mathematics offered by the Faculty of Science).

For A Level Holders:
A good grade in either GCE A level or H2 level or IB higher level Mathematics.

Candidature / Duration

The typical candidature is four years. The maximum candidature is five years.

Continuation and Graduation Requirements

The Bachelor of Science in Business Analytics is a 4-year direct honours programme. The Bachelor of Science in Business Analytics (Honours) degree will be awarded to students who complete 160 MCs and performed well throughout the course, as determined by their Cumulative Average Point. Those who do not qualify for an Honours degree will be awarded a Bachelor of Science in Business Analytics degree.

Proposed Fees

The proposed fees structure are as follows:
Full fees: $34,900
Singapore citizens: $7,460
Singapore permanent residents: $9,850
International students: $13,730

This fees structure follows that of other degree programmes offered in the School of Computing for students admitted in the Academic Year 2012/2013.

Expected Intake

Entry into the programme for the first year will be restricted to 40 students and will be slowly increased to a maximum of 80 students per year at steady state, depending on the quality of the student intake. 

Limit on level-1000 modules

The limit on level-1000 modules for cohort 2015-16 is capped at 64 MCs. This is the exception granted to this cohort by the University.

Programme Structure

The detailed BA programme structure and associated modules are presented below.

Modules

MCs

Sub totals

University Level Requirements (ULR)

 

20

PROGRAMME REQUIREMENTS

 

120

Core Modules

84

 

ACC1002X Financial Accounting or ACC1701X Accounting for Decision Makers

4

 

BT1101    Introduction to Business Analytics

4

 

CS1010S  Programming Methodology

4

 

CS1020    Data Structures and Algorithms I

4

 

EC1301    Principles of Economics

4

 

IS1103     Computing and Society

4

 

IS1105     Strategic IT Applications or
IS3103     Information Systems Leadership and Communication

4

 

IS1112 E-Business Essentials or BT2102 Data Management and Visualisation

4

 

MA1311  Matrix Algebra and Applications, or MA1101R Linear Algebra I2

4

 

MA1521  Calculus for Computing, or MA1102R Calculus1

4

 

MKT1003X Marketing

4

 

BT2101    IT and Decision Making

4

 

IE2110     Operations Research I3, or DSC3214/DBA3701 Introduction To Optimisation

4

 

IS2101     Business and Technical Communication4

4

 

Either
    (ST2131 Probability and ST2132 Mathematical Statistics)4a
or (ST2334 Probability and Statistics and CS2010 Data Structures and Algorithms II)

8

 

BT3101    Business Analytics Capstone Project

4

 

BT3102    Computational Methods for Business Analytics

4

 

DSC3215  Stochastic Models in Management

4

 

BT3103 Application Systems Development for Business Analytics or
IS4240 Business Intelligence Systems

4

 

ST3131 Regression Analysis or
BT4240 Machine Learning for Predictive Data Analytics 4b

4

 

Programme Electives (PE)

24

 

Option 1:

Choose 6 modules to make up 24 MCs from Lists A, B and C, with at least 2 modules each from Lists A and B. 5 of 6 modules must be at level-4000. 

Option 2:

Choose BT4101 and 3 modules to make up 24 MCs from Lists A, B and C, with at least 1 module each from Lists A and B. 2 of 3 modules must be at level-4000. 

BT4101    B.Sc. Dissertation

List A (Business Applications):

DSC3224/DBA3712 Dynamic Pricing and Revenue Management
IE3120 Manufacturing Logistics
IS3240 Economics of E-Business
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
DSC4213/DBA4811 Analytical Tools for Consulting
IS4250 Healthcare Analytics
either MKT4415C Seminars in Marketing: Applied Market Research or
          MKT4420 Marketing Analytics

List B (Analytics Methods): 4b

CS3244 Machine Learning
either DSC3216 Forecasting for Managerial Decisions or
          DBA3803 Predictive Analytics in Business
either BSP4513 Econometrics: Theory & Practical Business Application or
          BSE4711 Econometrics for Business II
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
IS4241 Social Media Network Analysis
IE4210 Operations Research II
ST4240 Data Mining (discontinued in AY2018-19)
ST4245 Statistical Methods for Finance

List C (Technology Implementation):

IS3221 Enterprise Resource Planning Systems
IS3261 Mobile Solutions Design and Development
IS4228 Information Technologies in Financial Services
IS4302 Blockchain and Distributed Ledger Technologies

 All modules

are

4MCs

modules,

except

BT4101

(12 MCs)

 

IS4010     Industry Internship Programme5

12

 

UNRESTRICTED ELECTIVES

 

20

Grand Total 

 

160

Notes:
1: Students must complete an approved GE module within the Thinking and Expression pillar. The current approved module list includes GET1006 Critical Thinking in the Information Age and GET1021 Critical Thinking and Writing.
2 : Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered.
3 : Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
4: Taught by the Centre for English Language Communication.
4a: For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. The MCs for ST2132 come from UE. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestrictive elective to meet first major requirement.
4b: (i) Business analytics students who are doing or contemplating to do minor/second major requiring ST3131 such as Statistics need to do BT4240 rather than ST3131 as part of the core module requirement of the first major degree. (ii) Business analytics students who are not doing minor/second major requiring ST3131 such as Statistics can choose to do either BT4240 or ST3131. If these students do both modules, then BT4240 can be treated as a core module while ST3131 can be an elective module under List B. (iii) Business analytics students who have taken ST3131 and not taking minor/second major requiring ST3131 such as Statistics, they can take BT4240 as an elective module under List B.
5:Students can choose to take on any current 12 MCs or more internship-related programmes within the School of Computing (e.g., CP3880 Advanced Technology Attachment Programme (ATAP)) and/or within NUS (e.g., Innovative Local Enterprise Achiever Development (iLEAD) and NUS Overseas College (NOC)) in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement.

 

Programme Study Schedule

Sample Study Plan 1

bastudyplan1

 

Sample Study Plan 2

bastudyplan2

 

Sample Study Plan 3

bastudyplan3

 

Notes:

  • Study schedule is based on current information and may change depending on module mounting.
  • This is just a recommended sample study plan and need not be followed strictly. The study schedule can be varied or modified according to a student’s desired pace of programme completion and other additions such as UROP or USP participations.
  • Suggested methodological elective module ==> functional elective module paths
    • BT4221 Big Data Techniques and Technologies + ST4240 Data Mining ==> BT4211 Data-Driven Marketing / MKT4415C Seminars in Marketing: Applied Market Research
    • DSC3216 Forecasting for Managerial Decisions ==> DSC3224 Dynamic Pricing and Revenue Management / DSC4213 Analytical Tools for Consulting / IE3120 Mfg Logistics
    • BT4221 Big Data Techniques and Technologies ==> BT4212 Search Engine Optimization and Analytics
    • ST4240 Data Mining ==> IS4250 Healthcare Analytics

Legend:

  • ULR = University Level Requirements; PE = Programme Electives; UE = Unrestricted Electives
  • Cell shaded with light blue denotes a core module which is also a prerequisite for another core module.
  • Cell shaded with light pink denotes a core module which is also a prerequisite for another elective module.
  • Each pair of coloured squares across two cells indicates a prerequisite chain. For example, indicates that ST3131 is a prerequisite for BT3101, and indicates that DSC3215 is another prerequisite for BT3101.
  • The checkered square in a cell, , indicates that this core module is a prerequisite for another elective module.


NUS Overseas Colleges (NOC) – (Business Analytics)

Students who attended NOC programme may:

  • count TR3201 Entrepreneurship Practicum (8 MCs) partially in lieu BT4101 BSc Dissertation (4 out of 12 MCs) and replace one Business Analytics programme elective at level-3000 (4 MCs).
  • count TR3202 Start-up Internship Programme (12 MCs) towards Industrial Experience Requirement  (i.e. IS4010 Industry Internship Programme)
  • count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs).


University Scholars Programme (Business Analytics)

Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) degree programme will do so with the following variations:

  • They will not be required to read IS2101 Business and Technical Communication in the Core modules requirement. It is replaced by USP Foundation module of Writing and Critical Thinking.
  • They will read the UROP module (CP3208) in place of the Business Analytics Capstone Project module (BT3101) in the Core modules requirement. CP3208 is an independent study module (ISM) which will be counted as 1 USP Inquiry module in the Sciences and Technologies domain.
  • They will not be required to read University Level Requirements (20 MCs). These are replaced by the 3 USP Inquiry modules and 2 USP Foundation modules (Quantitative Reasoning and University Scholars Seminar).
  • They will not be required to read Unrestricted Electives (20 MCs). These are replaced by the USP Reflection module of Senior Seminar and 4 USP Inquiry modules.
  • In summary, the breakdown of 12 USP modules will fit into these MCs requirement categories:
    • Core: 1 Foundation module (Writing and Critical Thinking replacing IS2101), 1 Inquiry module (CP3208/USP-ISM replacing BT3101)
    • ULR: 3 Inquiry modules and 2 Foundation modules
    • UE: 1 Reflection module and 4 Inquiry modules