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
  • Interview/Assessment
  • Fee Structure
  • Program Structure
Who can apply?

Applicants who have 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*

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
2% deduction from Academic Marks for each late session for up to 5 late sessions.

Applicants to the BS Economics with Data Science program will be required to take an interview as part of the admissions process for Fall ’20.

The interview may be conducted online or on campus at ITU, as per the SOPs defined by the government for the COVID-19 situation, and considering the convenience of the applicant.

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 HU 101 Communication Skills I 3 C
2 ECON 101 Principles of Microeconomics 3 F
3 ECON 103 Pakistan Studies 2 C
4 ECON 102 Basic Mathematics 3 C
5 ECON 104 Introduction to Computers 3 C
6 Diversification 1 3
Total Credits: 17
Notes:

C = Compulsory 11 credits

F = Foundation 3 credits

Diversification 3 credits

Semester II
SN Course Code Course Title Credits Type of Course Prerequisites
1 HU 102 Communication Skills II 3 C
2 ECON 105 Islamic Studies 2 C
3 ECON 111 Principles of Macroeconomics 3 F
4 ECON 121 Statistics I 3 F
5 Diversification – 2 3
6 Diversification 3 3
Total Credits: 17
Notes:

C = Compulsory 16 credits

F = Foundation 9 credits

Diversification 9 credits

Semester III
SN Course Code Course Title Credits Type of Course Prerequisites
1 HU 103 Communication Skills III 3 C
2 ECON 201 Intermediate Micro 3 F ECON 101
3 ECON 203 Calculus 3 C ECON 102
ECON 121
4 Diversification 4 3
5 Diversification 5 3
6 Diversification 6 3
Total Credits: 18
Notes:

C = Compulsory 22 credits
F = Foundation 12 credits

Diversification 18 credits

Semester IV
SN Course Code Course Title Credits Type of Course Prerequisites
1 HU 104 Communication Skills IV 3 C
2 ECON 211 Intermediate Macroeconomics 3 F ECON 111
3 ECON 221 Statistics II 3 F ECON 121
4 ECON 231 Issues in World Economy 3 M
5 Diversification 7 3
6 Diversification 8 3
Total Credits: 18
Notes:

C = Compulsory 25 credits
F = Foundation 18 credits
Diversification 24 credits
M = Major 3 credits

Semester V
SN Course Code Course Title Credits Type of Course Prerequisites
1 ECON 301 Advanced Microeconomics 3 M ECON 201
2 ECON 312 Monetary Economicss 3 M ECON 111
3 ECON 313 Public Finance 3 M
4 ECON 341 Mathematical Economics 3 F Calculus
5 ECON 321 Econometrics 3 F ECON 221
6 Optional 1: Databases 3 E
Total Credits: 18
Notes:

C = Compulsory 25 credits

F = Foundation 24 credits

Diversification 24 credits

M = Major 12 credits
E = Elective 3 credits

Semester VI
SN Course Code Course Title Credits Type of Course Prerequisites
1 ECON 311 Advanced Macroeconomics 3 M ECON 211
2 ECON 351 International Economics 3 M
3 ECON 361 Development Economics 3 M
4 ECON 371 Financial Economics 3 M
5 ECON 381 Research Methods 3 M ECON 221
6 Optional 2: Data Structures 3 E
Total Credits: 18
Notes:

C = Compulsory 25 credits

F: Foundation 24 credits

Diversification 24 credits

M: Major 27 credits

E: Elective 6 credits

Semester VII
SN Course Code Course Title Credits Type of Course Prerequisites
1 Optional 5: Cloud Computing 3 E
2 ECON 487 Elective (Economics of Climate Change) 3 M
3 ECON 491 Islamic Economics 3 M
4 Optional 3: Data Mining I 3 E
5 Optional 4: Elective (TBD) 3 E
Total Credits: 15
Notes:

C = Compulsory 25 credits

F = Foundation 24 credits

Diversification 24 credits

M = Major 33 credits

E = Elective 15 credits

Semester VIII
SN Course Code Course Title Credits Type of Course Prerequisites
1 ECON 421 Time Series and Panel Data Econometrics 3 M ECON 321
2 Major course( choose from list of electives) 3 M
3 ECON 462 Issues in Pakistan Economy 3 M
4 Optional 6: Data Mining II 3 E Data Mining I
5 Optional 7 3 E
Total Credits: 15
Notes:

C = Compulsory 25 credits

F = Foundation 24 credits

Diversification 24 credits

M = Major 42 credits

E = Elective 21 credits


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