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
  • Admission Test
  • Fee Structure
  • Program Structure
Who can apply?

Applicants who have completed 12 years of education, or will do so in the 2021 session.

  • 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
  • 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: Per HEC rules, candidates who have completed 12 years of education and obtained degrees other than Matriculation (SSC) or Intermediate (HSSC) may be required to obtain an equivalence certificate from the Inter Board Committee of Chairman (IBCC), Islamabad.

AS Level and General Studies are not accepted

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

ITU Admission Test

The ITU Admission Test will be held at the ITU campus an Arfa Software Technology Park in Lahore.
SOPs for Covid-19, as prescribed by the government, will be strictly followed.
The test will be 2-hours long and will comprise mostly of Multiple-Choice Questions. For information about dates please click here here.

Entry Test Pattern (Tentative)

Sample Test

SAT

Applicants who have taken the SAT (through Collegeboard 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 130 – 137
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
Course Title Credit Hours
Principles of Microeconomics 3
Introduction to Computer 3
Pakistan Studies 2
Communication Skills I 3
Basic Mathematics 3
Diversification I 3
Total Credits 17
Semester II
Course Title Credit Hours
Statistics I 3
Principles of Macroeconomics 3
Islamic Studies 2
Communication Skills II 3
Diversification II 3
Diversification III 3
Total Credits 17
Semester III
Course Title Credit Hours
Intermediate Microeconomics 3
Calculus 3
Communication Skills III 3
Diversification IV 3
Diversification V 3
Diversification VI 3
Total Credits 18
Semester IV
Course Title Credit Hours
Intermediate Macroeconomics 3
Statistics II 3
Communication Skills IV 3
Issues in World Economy 3
Diversification VII 3
Diversification VIII 3
Total Credits 18
Semester V
Course Title Credit Hours
Advanced Microeconomics 3
Monetary Economics 3
Public Finance 3
Mathematical Economics 3
Econometrics 3
Optional 1: Database 3
Total Credits 18
Semester VI
Course Title Credit Hours
Advanced Macroeconomics 3
International Economics 3
Development Economics 3
Financial Economics 3
Research Methods 3
Optional 2: Data Structures 3
Total Credits 18
Semester VII
Course Title Credit Hours
Optional 5: Cloud Computing 3
Elective (Economics of Climate Change) 3
Islamic Economics 3
Optional 3: Data Mining I 3
Optional 4: Elective 3
Total Credits 15
Semester VIII
Course Title Credit Hours
Time Series and Panel Data Econometrics 3
Major Course (choose from list of the electives) 3
Issues in Pakistan Economy 3
Optional 6: Data Mining II 3
Optional 7 3
Total Credits 15
  • Thesis
  • 6CH
  • |
  • Internship
  • 3CH
  • |
  • Volunteer Work/Community Service
  • 1CH
  • |
  • Total
  • 130CH