The BS in Economics with Data Science is an interdisciplinary undergraduate program that combines rigorous training in economic theory with modern tools of data science, analytics, and computational methods. The program prepares students to understand and solve real-world problems using quantitative and analytical techniques, equipping them to thrive in data-driven environments across public and private sectors.
Duration: 4 Years (8 Semesters)
Total Credit Hours: 126 credit hours
| Area | Cr. Hrs. | |
| a) | Major Requirements (including 19 credit hours of Data Science courses) | 73 |
| b) | General Education Requirements | 31 |
| c) | Interdisciplinary Courses | 13 |
| d) | Field Experience | 03 |
| e) | Capstone Project | 06 |
| f) | Total | 126 |
| I | At least 45% marks in intermediate or equivalent |
| II | Applicants are required to pass the UCP Admission Test. |
Program Name: BS Economics with Data Science
Admission Fee: 25,000
| Per Credit Hour Fee | 1st Sem Total Fee | 1st Installment Including Admission fee | 1st Installment with 50% PGC Scholarship | 1st Installment with 25% Merit | 1st Installment with 75% Merit Scholarship | 1st Installment with 100% Merit Scholarship | Total Credit Hours | Total Fees (Incl Admission Fees) |
| 7,320 | 134,800 | 79,900 | 52,450 | 66,175 | 38,725 | 25,000 | 126 | 947,320 |
The above-mentioned fee structure is for illustration purpose only. UCP reserves the rights to make changes in the Fee Structure whenever deemed necessary or appropriate.
| Matric | Intermediate | Admission Test |
| 10% | 45% | 45% |
Semester I (15 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| ENG110 | Functional English | General | - | 3 |
| EC1103 | Microeconomics I | Major | - | 3 |
| QR101 | Quantitative Reasoning I | General | - | 3 |
| PLS101 | Introduction to Political Science | General | - | 3 |
| ICT101 | Applications of Information and Communication Technologies (ICT) | General | - | 2+1 |
Semester II (16 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| ENG211 | Expository Writing | General | Functional English | 3 |
| EC1503 | Mathematical Economics | Major | - | 3 |
| QR201 | Quantitative Reasoning II | General | Quantitative Reasoning I | 3 |
| EC1203 | Macroeconomics I | Major | - | 3 |
| CSCP1013 | Programming Fundamentals | IDC | - | 3 |
| CSCP1011 | Programming Fundamentals Lab | IDC | - | 1 |
Semester III (16 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| EC2113 | Microeconomics II | Major | Microeconomics I | 3 |
| DS202 | Introduction to Data Science | Major (DS) | - | 2 |
| DS201 | Introduction to Data Science Lab | Major (DS) | - | 1 |
| ISL110 | Islamic Studies | General | - | 2 |
| PAK102 | Ideology and Constitution of Pakistan | General | - | 2 |
| CCE201 | Civics and Community Engagement | General | - | 2 |
| DB203 | Database Systems | Major (DS) | - | 3 |
| DB201 | Database Systems- Lab | Major (DS) | - | 1 |
Semester IV (16 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| EC2113 | Macroeconomics II | Major | Macroeconomics I | 3 |
| ENT102 | Entrepreneurship | General | - | 2 |
| NS101 | Environmental Sciences | General | - | 3 |
| EC3133 | International Economics | Major | Microeconomics I, Macroeconomics I | 3 |
| PHL201 | Introduction to Philosophy | General | - | 2 |
| TBA | Data structures | Major (DS) | Programming Fundamentals | 3 |
Semester V (15 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| EC3303 | Econometrics I | Major | Macroeconomics II | 3 |
| EC3223 | Issues in Pak Economy | Major | Macroeconomics II | 3 |
| EC3143 | WTO, Globalization & Econ. Integration | Major | Macroeconomics II | 3 |
| EC3803 | Development Economics | Major | Macroeconomics II | 3 |
| TBA | Machine Learning | Major (DS) | - | 2 |
| - | Machine Learning - Lab2 | Major (DS) | - | 1 |
Semester VI (15 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| EC3314 | Econometrics II | Major | Econometrics I | 2+1 |
| EC3153 | Monetary Economics | Major | Macroeconomics II | 3 |
| EC3123 | World Economic History Elective I | Major | Macroeconomics I | 3 |
| - | Elective I | IDC | - | 3 |
| ECHU4063 | Research Methods | Major | - | 3 |
Summer after Semester VI
| - | Internship | Field experience | 3 | |
Semester – VII (15 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| - | FYP 1 | Capstone project | - | 3 |
| DSDS3163 | Elective II | IDC | - | 3 |
| TBA | Exploratory Data Analytics and Visualization | Major (DS) | - | 3 |
| EC3863 | Labor Economics | Major | Microeconomics II | 3 |
| - | Financial Economics | Major | - | 3 |
Semester – VIII (15 Cr. Hrs.)
| Course Code | Course Title | Category | Pre-req | Cr. Hrs. |
| - | FYP 2 | Capstone project | - | 3 |
| DS442 | Data Mining | Major (DS) | - | 2 |
| DS441 | Data Mining Lab | Major (DS) | - | 1 |
| EC4903 | International Political Economy | Major | - | 3 |
| CSDS5473 | Elective III | IDC | - | 3 |
| EC4133 | Applied Economics | Major | Macroeconomics II, Microeconomics II | 3 |
List of elective courses:
Graduates of this program will be well-positioned for careers in:
Public Sector & Development Organizations:
Private Sector:
Tech Sector:
Higher Education and Research:
To earn a BS Economics with Data Science, a student must: