Bachelor of Science (Honours) in Economics and Data Science

| Interdisciplinary Integrated Degree

BSc (Hons) in Economics and Data Science

The newly launched Bachelor of Science (Honours) in Economics and Data Science programme combines expertise from 3 schools: School of Social Sciences (SSS), School of Computer Science and Engineering (SCSE), and School of Physical and Mathematical Sciences (SPMS). 

This is a four-year degree programme in which undergraduate students will read 3 subject areas in Economics, Mathematics and Data Science. The programme provides its students with a strong foundation in Economics and subsequently prepares them not only to handle and deal with big data through Data Science but also develops their ability to make economic sense from their applications in modern large-scale data analysis. 

 

For GCE 'A' level certificate holders:
 
  • NTU General Admission Requirements
  • A pass in H2 Level Mathematics and
  • A pass in H2 Level Physics/Chemistry/Biology/Computing
 
 
International Baccalaureate Diploma
  • A good grade in Mathematics at Higher Level and
  • A good grade in Physics/Chemistry/Biology/Computer Science at Higher Level
 
 
NUS High School Diploma
 
  • Major CAP of 2.0 in Mathematics and
  • Major CAP of 2.0 in Physics/Chemistry/Biology
 
 
International & Other Qualifications
 
  • A good grade in Mathematics at Senior High School Level and a good grade in Physics/Chemistry/Biology at Senior High School Level

 

More details on admission can be found here.

 

Successful Polytechnic applicants will be exempted certain courses that will be confirmed before the start of their first semester.

The Bachelor of Science (Honours) in Economics and Data Science programme is designed as a four-year course. To graduate, students are required to complete a total of 140 academic units (AUs) from the Economics (ECON) Major Requirements, Data Science (DS) Major Requirements  and Interdisciplinary Collaborative Core (ICC) requirements.

 

Curriculum (AY2021 and onwards)

ProgrammeMajor RequirementsInterdisciplinary Collaborative Core (ICC)Broadening ElectivesTotal
COREPrescribed ElectivesFinal Year ProjectCommon CoreFoundational Core
Economics (ECON)24 AUs15 AUs8 AUs17 AUs15 AUs6 AUs140 AUs
Data Science (DS)33 AUs22 AUs


1. Core Requirements (57 AUs)

Course TypeSemCourse CodeCourse TitleAUTotal AU Load
Core (ECON)1HE1001Microeconomics I324
1HE1002Macroeconomics I3
2HE2001Microeconomics II3
2HE2002Macroeconomics II3
TBCHE2003Econometrics I3
TBCHE3001Microeconomics III3
TBCHE3002Macroeconomics III3
TBCHE3003Econometrics II3
Core (DS)1MH1805Calculus433
1SC1003Introduction to Computational Thinking & Programming3
2MH2802Linear Algebra for Scientists3
2MH1812Discrete Mathematics3
2SC1007Data Structures and Algorithms3
1MH2100Calculus III4
1MH2500Probability and Introduction to Statistics4
1SC2001Algorithm Design and Analysis3
2SC2007Introduction to Database System3
2SC3000Artificial Intelligence3

 

2. Major Prescribed Electives Requirements (37 AUs)

ECON - Students are to choose one (1) level 3000 course and three(3) level 4000 courses, of which one (1) must be from the HE4xxx list. (15 AU)
DS - Students are to choose 22 AUs from the list of Data Science prescribed electives. (22 AU)

(Please refer to the course listings PDF document for the full list of Major PEs.)

3. Final Year Project Requirements (8 AUs)

Students with cGPA of 3.90 and above are required to do HE4099 Graduation Project (GP) to be eligible for Honours (Highest Distinction) and Honours (Distinction).  Refer to the Economics website for more information on GP.

*students that are not eligible to read HE4099 must read an additional TWO level-4000 modules to be counted towards the Major Prescribed Electives requirements.

 

4. ICC Common Cores(17 AUs)

 AUs
CC0002 Navigating the Digital World 2
CC0001 Effective Communication in an Interdisciplinary World 2
CC0007 Science & Technology for Humanity 3
CC0006 Sustainability: Society, Economic & Environment 3
CC0005 Healthy Living & Mental Wellbeing 3
ML0004 Career and Entrepreneurial Development for the Future World 2
CC0003 Ethics & Civics in a Multicultural World 2

 

5. ICC Foundational Cores (15 AUs)

 AUs
HW0228 Scientific Communication 2
SC1015 Introduction to Data Science and AI3
Professional Internship 1#5
Professional Internship 2#5


# Students are required to do two internships. One of them must be related to Economics and the other must be related to Data Science. Each internship will be 10 weeks long and worth 5 AUs.

Students must do each internship during the Special Terms in their second and third year of studies.


6. Broadening and Deepening Electives (6 AUs)

Students may fulfill the AUs from any school or through online courses like MOOCs.

Suggested ECDS Study Plan for students who matriculated from AY2021/2022 intake onwards

Course Code Course Type AU Prerequisite Remarks
Year 1 Semester 1
HE1001 Microeconomic Principles Core (ECON) 3  
HE1002 Macroeconomic Principles Core (ECON) 3  
MH1805 Calculus Core (DS) 4  
MH1812 Discrete Mathematics Core (DS) 3  
SC1003 Introduction to Computational Thinking & Programming Core (DS) 3  
CC0003 Ethics & Civics in a Multi-Cultural World  Common Core 2  
CC0005 Healthy Living & Mental Well-being in an Aging Society Common Core 3  
Total 21  

 

Course Code Course Type AU Prerequisite Remarks
Year 1 Semester 2
HE2001 Microeconomics II Core (ECON) 3 HE1001
HE2002 Macroeconomics II Core (ECON) 3 HE1002
SC1007 Data Structures & Algorithms Core (DS) 3 SC1003
SC1015 Introduction to Data Science & AI Foundational Core3 SC1003
 
CC0001 Inquiry and Communication in the Interdisciplinary World Common Core 2  
CC0002 Navigating the Digital World Common Core 2  
Total 16  

 

Course Code Course Type AU Prerequisite Remarks
Year 2 Semester 1
HE2003 Econometrics I Core (ECON) 3 HE1004/HE1005/MH1820/MH2500/MH2814
MH2100 Calculus III Core (DS) 4 MH1805
MH2500 Probability and Introduction to Statistics Core (DS) 4 MH1805
MH2802 Linear Algebra for Scientists Core (DS) 3  
HE3001 Microeconomics III Core (ECON) 3 HE2001
HE3002 Macroeconomics III Core (ECON) 3 HE2002
CC0007 Science & Technology for Humanity Common Core 3  
Total 23  

Course Code Course Type AU Prerequisite Remarks
Year 2 Semester 2
HE3003 Econometrics II Core (ECON) 3 HE2003
SC2001 Algorithm Design and Analysis Core (DS) 3 SC1007 & MH1812
ECON Prescribed Elective 1 ECON-PE 3  
HW0228 Scientific Communication Foundational Core2  
CC0006 Sustainability: Society, Economic & Environment Common Core 3  
ML0004 Career and Entrepreneurial Development for the Future World Common Core 2  
Total 16  

 

Course Code Course Type AU Prerequisite Remarks
Year 2 Special Terms
HB3079 Internship Foundational Core 5  
Total 5  

Course Code Course Type AU Prerequisite Remarks
Year 3 Semester 1
SC2207 Introduction to Database System Core (DS) 3 SC1007 & SC2001
SC3000 Artificial Intelligence Core (DS) 3 SC1003 & SC2001
DS Prescribed Elective 1DS-PE 3  
DS Prescribed Elective 2DS-PE4 
ECON Prescribed Elective 2 ECON-PE 4
Total 17  

 

Course Code Course Type AU Prerequisite Remarks
Year 3 Semester 2
ECON Prescribed Elective 3ECON-PE 4  
ECON Prescribed Elective 4ECON-PE4 
DS Prescribed Elective 3DS-PE3 
DS Prescribed Elective 4DS-PE 4  
Broadening Elective BDE 3  
Total 18  

 

Course Code Course Type AU Prerequisite Remarks
Year 3 Special Terms
HB30XX Internship Foundational Core 5  
Total 5  

 

Course Code Course Type AU Prerequisite Remarks
Year 4 Semester 1
HE4099 Graduation Project / ECON Prescribed Elective 5Core (ECON) / ECON-PE 4 Year 4 standing required for HE4099
DS Prescribed Elective 5DS-PE 4  
Broadening Elective BDE 3  
Total 11  

 

Course Code Course Type AU Prerequisite Remarks
Year 4 Semester 2
HE4099 Graduation Project  / ECON Prescribed Elective 6Core (ECON) / ECON-PE 4 Year 4 standing required for HE4099
DS Prescribed Elective 6DS-PE 4  
Total 8  
Grand Total after 4 years140 

 

A degree in Economics at NTU provides graduates with a vast array of job opportunities in both the public and private sectors. Economic majors are valued for their critical thinking and analytical skills. They also benefit from an in-depth understanding of social organisations, culture and other social phenomena.

Upon graduation, students are expecting to work as data analysts, data scientists, economists and industry analysts who are skillful in analyzing big data.​