BS Economics with Data Science (BS EDS)


Why you should study BS Economics with Data Science at ITU?

Introduction to the Program

The Science of Economics today is in a crisis. This is because mainstream economics, as it has been taught over the last century, has failed to adequately address so far some of the principal challenges faced by the human community at the global and national levels: recurrent economic crises, growing inequality, widespread violence and the environmental crisis that has placed our planet in peril. As Thomas Kuhn has pointed out, science progresses through paradigm changes. When new questions emerge, which the prevailing paradigm is unable to investigate, and then a new paradigm emerges. This is why the leading universities in the world are engaged in rethinking economics, crossing its conventional boundaries and bringing teachers and students together in the great endeavor of developing a new paradigm for the subject.

In this historic juncture, the aim of an undergraduate programme in Economics should be to combine rigorous training in mainstream economics with data science together with exposure to a wide range of fields in the Social Sciences and Humanities. Through such multidisciplinary training around hardcore economics, the students can be stimulated to form connections across subjects in addressing the central challenges that impact society, economy and polity. Students of economics can thereby participate in the exciting venture of transforming the economics paradigm and help build a better future for the human community.

The undergraduate programme in economics with data science has been designed with this aim in view. Rigorous training is provided in economics through courses such as Macroeconomics, Microeconomics, Mathematics, Econometrics, International Trade and Finance. Emerging fields in economics are also included in the programme. For example, the New Political Economy, Sustainable Development, Evidence Based design of Policy for Urban and Rural Development. A key dimension in the economics programme is Data Science which has two components: (i) Big Data Techniques and (ii) Machine Learning. This relatively new field is becoming increasingly important in the design of projects and policies. This corpus of courses in economics and data science is combined with courses in the fields of Philosophy, Politics and Literature.

It is hoped that systematic training in economics and data science, combined with a broad understanding of Social Sciences and Humanities, will equip students to contribute to research and policy thinking. They will thus be able to participate in the process of developing a new paradigm in economics and building a better world.


  • Eligibility Criteria
  • Admissions Test
  • Fee Structure
  • Program Structure
Who can apply?

Applicants who have completed completed 12 years of education, or will do so by August/September.

  • Scored 60% marks or above in Matriculation or equivalent examination
    AND
  • Scored 60% marks or above in Intermediate or equivalent examination*
  • Minimum score for eligibility is 50% in the ITU Admissions Test
    OR
    To be exempted from the ITU Admissions Test:
    SAT I with at least 550 score in each section: Math and EBRW (Verbal)

Details*

  • Successfully cleared 3 subjects in A-Levels with an average grade of C
  • A GPA of at least B in American High School Diploma
  • Scored at least 28 out of 45 points in International Baccalaureate
  • Preference will be given to students who are proficient in Mathematics

General Notes

Note: Candidates who have completed 12 years of education and obtained degrees other than Matriculation (SSC) or Intermediate (HSSC) are required to obtain an equivalence certificate from the Inter Board Committee of Chairman (IBCC), Islamabad.

AS Level, General Studies and Urdu are not accepted
2% deduction from Academic Marks for each late session for up to 5 late sessions.

Applicants can take the ITU Admissions Test OR submit their SAT scores for admission to ITU.

ITU Admissions Test

The ITU Admissions Test will be held at the ITU campus an Arfa Software Technology Park in Lahore. The test will be 2-hours long and will comprise mostly of Multiple-Choice Questions. For information about dates please click here.

Entry Test Pattern (Tentative)
ITU Admissions Test will be Multiple Choice Questions (MCQs) with questions that will fall in one of the four following categories: Maths, Verbal, General Knowledge and Economics.

SAT

Applicants who have taken the SAT (through ETS USA) during the last two years, may be exempted from the ITU Admissions Test. SAT scores must be reported to ITU officially from the testing agency. The college code for reporting SAT scores to ITU is 7537.
Please refer to the Collegeboard website for details about the SAT test and score report delivery.

Discipline Required SAT Test Minimum Score
BS-Economics with Data Science
SAT I – Verbal
SAT I – Math
550
550

For information about dates please click here.

Program Duration 8 semesters (4 years)
Tuition Fee per Credit Hour Rs. 5,500
Total No. of Credit Hours 124 – 136
Minimum Course Load (15 credit hours) Rs. 82,500
University Charges Per Semester Rs. 24,000

Note: If the fee exceeds Rs. 200,000 per annum, 5% Income Tax will be added u/s 236I of the Income Tax Ordinance, 2001.

BS Economics with Data Science

Degree Structure

Semester I
SN Course Code Course Title Credits Type of Course Prerequisites
1 ECON101 Principles of Macroeconomics 3 C
2 ECON100 Principles of Microeconomics 3 C
3 Pakistan Studies 2 M
4 Communication Skills I 3 M
5 ECON102 Quantitative Methods I 3 C
Total Credits: 14
Notes:

C = Core course 9 credits

M = Mandatory course 5 credits

E = elective

C* = an elective that counts towards the core’s requirements

Semester II
SN Course Code Course Title Credits Type of Course Prerequisites
1 ECON202 Quantitative Methods II 3 C Quantitative Methods I
2 ECON201 Intermediate Macroeconomics 3 C Principles of Macroeconomics
3 ECON200 Intermediate Microeconomics 3 C Principles of Microeconomics
4 Islamic Studies 2 M
5 Communication Skills II 3 M Communication Skills I
6 ECON103 Python for Data Science 3 C
Total Credits: 17
Notes:

C = Core course 21 credits

M = Mandatory course 10 credits

E = elective

C* = an elective that counts towards the core’s requirements

Semester III
SN Course Code Course Title Credits Type of Course Prerequisites
1 Data Structures 3 C
2 Political Economy I 3 C* Intermediate
Microeconomics and Intermediate Macroeconomics
3 Calculus 3 C
4 Elective I 3 E
5 International Trade 3 C Intermediate Microeconomics and Intermediate Macroeconomics
6 Communication Skills III 3 M Communication Skills II
Total Credits: 18
Notes:

C = Core course 33 credits

M = Mandatory course 13 credits

E = elective 3 credits

C* = an elective that counts towards the core’s requirements

Semester IV
SN Course Code Course Title Credits Type of Course Prerequisites
1 Econometrics I 3 C Quantitative Methods II
2 Political Economy II 3 C Political Economy I
3 Financial Economics 3 C
4 Elective II 3 E
5 Databases 3 C
Total Credits: 15
Notes:

C = Core course 45 credits

M = Mandatory course 13 credits

E = elective 6 credit

C* = an elective that counts towards the core’s requirements

Semester V
SN Course Code Course Title Credits Type of Course Prerequisites
1 Elective III 3 E
2 Advanced Microeconomics 3 C Intermediate Microeconomics
3 Econometrics II 3 C Econometrics I
4 Data Mining I 3 C
5 Elective IV 3 E
6 Issues in Pakistan’s Economy 3 C*
Total Credits: 18
Notes:

C = Core course 57 credits

M = Mandatory course 13 credits

E = elective 12 credits

C* = an elective that counts towards the core’s requirements

Semester VI
SN Course Code Course Title Credits Type of Course Prerequisites
1 Health Economics 3 C
2 Advanced
Macroeconomics
3 C Intermediate Macroeconomics
3 Elective V 3 E
4 Econometrics III 3 C Econometrics II
5 Research Methods 3 C
6 Data Mining II 3 C Data Mining I
Total Credits: 18
Notes:

C = Core course 72 credits

M = Mandatory course 13 credits

E = elective 15 credits

C* = an elective that counts towards the core’s requirements

Semester VII
SN Course Code Course Title Credits Type of Course Prerequisites
1 Climatic Change and Sustainable Development or Challenges in Development and Development Policy 3 C*
2 Public Sector Economics 3 C
3 Cloud Computing 3 C
4 Agricultural Development: Institutions, Markets, and Technology 3 C
5 Thesis I 3 M
Total Credits: 15
Notes:

C = Core course 84 credits

M = Mandatory course 16 credits

E = elective 15 credits

C* = an elective that counts towards the core’s requirements

Semester VIII
SN Course Code Course Title Credits Type of Course Prerequisites
1 Elective VI 3 E
2 Economics of Development 3 C
3 Elective VII 3 E
4 Development of World Economy 3 C*
5 Financial Institutions: Multilateral and National 3 C*
6 Thesis II 3 M Thesis I
Total Credits: 18
Notes:

C = Core course 93 credits

M = Mandatory course 19 credits

E = elective 21 credits

C* = an elective that counts towards the core’s requirements


SN Course Title Credits Type of Course
1 Internship* 3 Mandated by the HEC
2 Volunteer Work/Community Service* 1 Mandated by the HEC
*Can be started at any time in the program, must be completed for any student of the program to graduate.

 

Total number of credits including all the courses: 137

Notes   (electives I – VII will be chosen from any of the following)

Introduction to Philosophy
Journalism
Arts & Culture
Islam and West in Historical Perspective
Introduction to Politics
Introduction to Urdu Drama
Freedom and Justice
Science and Criticism in Literature
International Politics