Program Details

COURSE FACT
STUDY LEVEL STUDY NOTE PROGRAM DURATION CREDITS HOURS

Post Graduate

Full-Time

4 Semesters, 2 years

32

Eligibility Criteria
  • 16 years of education (BS in Economics, BS CS, BS Maths, BS Statistics, BBA or an Equivalent degree) with a minimum of 2.5 CGPA under semester system or 50% marks under annual system from HEC recognized University / Institute.
  • UOR Addmission test or a valid GAT(General) entry test with minimum 50% marks

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Co-Curricular Activities

MS Data Science

Introduction

The MS Data Science at UOR is a two-year professional degree that integrates advanced data science, computational methods, and analytical decision-making to address modern economic, business, and industrial challenges. The program equips students with expertise in handling Big Data, applying advanced mathematics and computer algorithms to uncover insights, predict future trends, and solve complex real-world problems. It is designed for individuals who aspire to drive digital transformation and data-driven innovation across business, economics, science, and government sectors.

Why choose this course?

Choosing this master’s program at UOR allows you to work at the intersection of high-level statistics and modern artificial intelligence.

  • Access to specialized data labs with powerful servers for processing massive datasets.
  • Learning from senior researchers who specialize in predictive modeling and deep learning.
  • A curriculum that focuses on the latest tools like Python, R, Spark, and Cloud Analytics.
  • Practical exposure through collaboration with local industries for data-driven projects.
  • Supportive research environment that encourages the publication of original data models.

Career Opportunities

Graduates of MS Data Science have strong career prospects in multiple sectors, including technology, finance, healthcare, marketing, and research. Possible roles include:

  • Principal Data Scientist.
  • Senior Business Intelligence (BI) Consultant
  • Big Data Solutions Engineer
  • Lead Data Analyst in Finance or Healthcare

Semesters and Courses

Semester 1

Course Code Course Title Credit Hours
DS-711 Statistical and Mathematical Foundations for Data Science 3
DS-712 Statistical Computing for Data Science 3
GEN-700 Research Methodology 3
  Credit Hours 9  

Semester 2

Course Code Course Title Credit Hours
DS-721 Econometrics and Regression for Data Science 3
DS-722 Optimization and Numerical Methods for Data Science 3
DS-723 Statistical Learning for Data Science 3
GEN-701 Understanding of Holy Quran I 1
  Credit Hours 10  

Semester 3

Course Code Course Title Credit Hours
DS-731 Thesis - I / Elective - I 3
DS-732 Time Series Analysis and Forecasting 3
DS-733 Data Mining and Predictive Analytics 3
GEN-702 Understanding of Holy Quran II 1
  Credit Hours: 10

Semester 4

Course Code Course Title Credit Hours
DS-741 Thesis - II / Elective - II 3
  Credit Hours: 3