MS Data Science
What MS Data Science covers, career and research prospects, and which universities offer it in Pakistan.
Quick Facts
| Degree Level | MS |
|---|---|
| Discipline | Computer Science, Data Science |
| Offered By | 32 universities in our directory |
| Typical Duration | 2 years |
MS Data Science is a graduate degree for students who want to go deeper than an undergraduate introduction to the field — advanced machine learning, statistical modeling, big data systems and applied research — typically aimed at those pursuing senior data science roles, R&D positions, or a future PhD.
What You’ll Study
Coursework typically builds on foundational data science with advanced machine learning, statistical inference, big data/distributed systems, and a thesis or applied capstone project solving a real analytical problem.
Career & Research Scope in Pakistan
An MS strengthens candidacy for senior/lead Data Scientist roles and specialized R&D positions, where the degree signals depth beyond applied data-analyst work. Public salary-data aggregators put Data Scientist pay in Pakistan commonly in the PKR 80,000-200,000/month range, with senior and lead roles at the top of or above that range. Companies across e-commerce, fintech and telecom continue to build out data teams, and an MS is a strong differentiator for candidates targeting lead or specialist positions rather than entry-level analyst roles.
Admission Requirements
Typically a BS (16 years of education) in Computer Science, Data Science, Statistics or a related field, with a minimum CGPA, plus a university-specific graduate admission test. Check each university’s own admissions page for current criteria.
Where You Can Study This
- 32 universities
- 12 cities
- 18 public
- 14 private
Frequently Asked Questions
Is MS Data Science worth it if I already have a BS in a related field?
It's most valuable for candidates targeting senior/lead Data Scientist roles, specialized R&D positions, or a future PhD — the degree signals depth beyond applied entry-level analyst work.