Faculty of Computing & Mathematical Sciences
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Affiliated with PU Lahore
Department of Data Science
The Department of Data Science at Government Graduate College Asghar Mall is working to become a recognised centre for data-driven education, research, and innovation — preparing…
1
Faculty Members on Roll
Primary Degree
BS Data Science
4 Years
Fall 2026 Active
Departmental Ledger
GGCAM1948
Academic Profile
Faculty on Roll1
ProgrammeBS Data Science
Duration4 Years
AffiliationUniversity of the Punjab · NCEAC (HEC) accredited
Career Paths & Industry Placement
Data Scientist
AI Engineer
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Database Administrator
Research Analyst
Lecturer
Researcher
About the Department
The Department of Data Science at Government Graduate College Asghar Mall is working to become a recognised centre for data-driven education, research, and innovation — preparing graduates who can turn raw data into insight that supports real decisions. Affiliated with the University of the Punjab, the department builds students' foundation across mathematics, statistics, computing, and artificial intelligence.
Why Study with Us
Students work in a well-furnished computer laboratory with 30 modern systems, high-speed internet, and multimedia facilities supporting programming, software development, database management, and the core methods of data science. The BS Data Science programme carries formal NCEAC (HEC) accreditation, with regular review through the University of the Punjab's Quality Enhancement Cell. The department runs a regular calendar of data science competitions, coding workshops, seminars, industrial visits, hackathons, and project exhibitions.
Vision
Graduates who go on as data scientists, researchers, and technology leaders who can work across disciplines and contribute to industry, academia, and society.
Mission
Provide a Data Science education drawing together statistics, mathematics, computer science, and artificial intelligence; build analytical and computational thinking through project-based, research-oriented learning; encourage research in data analytics, machine learning, AI, big data, and business intelligence; instil professional ethics and responsible data practices; and maintain ties with industry and research partners through internships and collaborative projects.