BS Economics with Data Science

Powerful Data Insights For Impactful Economic Policies

Overview Program Structure Admission Criteria
Semester 1Semester 2First Summer
Principles of Microeconomics
Computer Applications
Business Mathematics (QR I)
English Grammar & Comprehension (English I)
Introduction to Business
Islamic Thought & Perspectives
English Immersion I		 Principles of Macroeconomics
Pakistan: Ideology, Constitution and Society
Principles of Management
Life and Learning
Basic Statistics for Economists (QR II)
Composition and Communication (English II)
21st Century Skills		 National/International Tour
Semester 3Semester 4Second Summer
Everyday Science
Intermediate Microeconomics
Programming Fundamentals
Civic and Community Engagement
Psychology of Mind and Behavior
Intermediate Mathematics		 Intermediate Macroeconomics
Foreign Language (ENGLISH IV)
Innovation and Entrepreneurship
Applied Statistics for Economists /Stats II
English Immersion III
Emerging Technologies (E – Commerce / E – Business)		 Internship
Semester 5Semester 6Third Summer
Monetary Economics
Principles of Econometrics
Public Finance
Mathematical Economics
Microeconomic Analysis
Introduction to Data Science		 Macroeconomic Analysis
Research Methods and Critical Thinking for Economists
Data Warehousing & Business Intelligence
International Economics
Development Economics
Capstone Project
Semester 7Semester 8
Transport Economics
Econometrics of Time series and Panel Data
Data Mining OR Data Visualization OR Big Data Analytics**
Specialization Course I*
Specialization Course II*		 Issues of Pakistan Economy
Political Economy
Islamic Economics
Specialization Course III*
Thesis /COOP**
Summer Courses:
1st Summer:National/International Tour
2nd Summer:Internship
Total Credit Hours: 139
Program Duration: 4 years

*Specialization Courses

  1. DS I: Programming Fundamentals
  2. DS II: Introduction to Data Science
  3. DS III: Data Warehousing and Business Intelligence (2+1)
  4. DS IV : Data Mining
  5. Big Data Analytics
  6. Data Visualization
  7. Machine Learning
Financial Aid and Scholarships

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