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 Title Credits Type of Course
1 Principles of Macroeconomics 3 C
2 Principles of Microeconomics 3 C
3 Pakistan Studies 1.5 M
4 English/Communication Skills I: Reason, Argument and Analysis 3 M
5 Calculus I 3 C
Total Credits: 13.5
Notes:

C = Core course 9 credit

M = Mandatory course 4.5 credit

E = elective

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

Semester II
SN Course Title Credits Type of Course
1 Quantitative Methods (Mathematics) 3 C
2 Intermediate Macroeconomics 3 C
3 Intermediate Microeconomics 3 C
4 Islamic Studies 1.5 M
5 English/Communication Skills II 3 M
Total Credits: 13.5
Notes:

C = Core course 18 credit

M = Mandatory course 9 credit

E = elective

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

Semester III
SN Course Title Credits Type of Course
1 Introduction to Politics 3 E
2 Political Economy I 3 C*
3 Quantitative Methods (Statistics) 3 C
4 Introduction to Philosophy 3 E
5 International Trade 3 C
Total Credits: 15
Notes:

C = Core course 27 credit

M = Mandatory course 9 credit

E = elective 6 credit

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

Semester IV
SN Course Title Credits Type of Course
1 Econometrics I 3 C
2 Political Economy II or Behavioural Economics 3 C
3 Financial Economics 3 C
4 Journalism or Arts & Culture 3 E
5 Database 1 3 C
Total Credits: 15
Notes:

C = Core course 39 credit

M = Mandatory course 9 credit

E = elective 9 credit

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

Semester V</td
SN Course Title Credits Type of Course
1 Islam and West in Historical Perspective 3 E
2 Development of World Economy 3 C*
3 Econometrics II 3 C
4 Data Analysis I: Data mining 3 C
5 Financial Institutions: Multilateral and National 3 C*
Total Credits: 15
Notes:

C = Core course 51 credit

M = Mandatory course 9 credit

E = elective 12 credit

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

Semester VI
SN Course Title Credits Type of Course
1 Health Economics or Organizational Economics 3 C
2 Advanced Macroeconomics 3 C
3 Advanced Microeconomics 3 C
4 Econometrics III: Time Series 3 C
5 Research Methods 3 C
6 Data Analysis for Social Scientists 3 C
Total Credits: 18
Notes:

C = Core course 69 credit

M = Mandatory course 9 credit

E = elective 12 credit

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

Semester VII
SN Course Title Credits Type of Course
1 Climatic Change and Sustainable Development 3 C*
2 Challenges in Development and Development Policy 3 C*
3 Algorithm Design and Analytics 3 C*
4 Agricultural Development: Institutions, Markets, and Technology 3 C
5 Data Analysis II: Machine Learning 3 C
Total Credits: 15
Notes:

C = Core course 84 credit

M = Mandatory course 9 credit

E = elective 12 credit

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

Semester VIII
SN Course Title Credits Type of Course
1 Freedom and Justice 3 E
2 Economics of Development 3 C
3 International Politics 3 E
4 Introduction to Urdu Drama 3 E
5 Cloud Implementation 3 C
Total Credits: 15
Notes:

C = Core course 90 credit

M = Mandatory course 9 credit

E = elective 21 credit

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

SN Course Title Credits Type of Course
1 Thesis 6 Mandated by the HEC
2 Internship 3 Mandated by the HEC
3 Volunteer Work/Community Service 1 Mandated by the HEC

 

Total number of credits including all the courses: 130