BS Data Science

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BS Data Science

Degree Overview

We live in an age of data. Every clinical encounter generates it e-g patient vitals, lab results, imaging reports, prescriptions, discharge notes. Every pharmaceutical trial produces it. Every hospital system collects it. Yet data, without the science to interpret it, is merely noise. The professionals who can transform health data into actionable knowledge, who can find the patterns that predict epidemics, personalise treatment, reduce hospital readmissions, and make health systems work smarter, are among the most sought-after experts in the world today.

The Bachelor of Science in Data Science (BSDS) at Lahore University of Biological and Applied Sciences (UBAS) is designed to produce exactly these professionals. This four-year, eight-semester program combines the mathematical rigour of statistics and linear algebra, the computational power of programming and algorithms, the analytical depth of machine learning and data mining, and the domain awareness of a university embedded in biological and health sciences.

The BSDS program explores the theoretical foundations of information and data science while placing strong emphasis on applied analytics practice. Students learn to collect, clean, integrate, analyse, model, and visualise data from diverse and complex sources, including clinical databases, electronic health records, medical imaging repositories, genomic datasets, and public health surveillance systems.

UBAS’s position as a biological and applied sciences university is not incidental to this program, it is its defining strength. Data science students have access to research partnerships and problem sets from across the university’s health sciences faculties, providing genuinely meaningful data contexts that purely computational programs cannot offer.

Program Educational Objectives (PEOS)

The BSDS program is designed so that graduates, within three to five years of graduation, will:

PEO-1	Professional Data Science Practice Work as competent data scientists capable of applying statistical, computational, and machine learning methodologies to derive insight and support decision-making, with readiness for roles in healthcare analytics, pharmaceutical data management, and health informatics.
PEO-2	Data-Driven Healthcare Impact Apply data science to address critical challenges in healthcare, including disease prediction, clinical outcome analysis, drug efficacy evaluation, patient stratification, and public health data management.
PEO-3	Technical Breadth and Depth Demonstrate proficiency across the full data science lifecycle: data acquisition, preparation, exploratory analysis, statistical modelling, machine learning, visualisation, and deployment of data products in production environments.
PEO-4	Ethical and Responsible Data Use Handle data with integrity, uphold patient privacy and data protection standards, and critically evaluate the societal implications of data-driven systems, particularly in healthcare settings.
PEO-5	Communication and Collaboration Translate complex analytical findings into clear, evidence-based insights for diverse audiences, including clinicians, administrators, and policymakers, and collaborate effectively in interdisciplinary teams.

Program Learning Outcomes (PLOS)

Upon successful completion of the BSDS degree, graduates will demonstrate the ability to:

PLO	Graduate Outcome
PLO-1	DS Foundations Apply statistics, mathematics, programming, and machine learning as an integrated foundation for data science practice
PLO-2	Problem Formulation Define, scope, and approach complex data problems, particularly in healthcare, and translate them into analytical solutions
PLO-3	Data Engineering Collect, store, integrate, clean, and transform large heterogeneous datasets from diverse sources including clinical databases and APIs
PLO-4	Statistical Analysis Apply inferential and descriptive statistics, probability theory, and experimental design to draw valid conclusions from data
PLO-5	Machine Learning Build, evaluate, and interpret supervised, unsupervised, and deep learning models for prediction, classification, and pattern recognition
PLO-6	Data Visualisation Design effective data visualisations and dashboards that communicate analytical findings to technical and non-technical audiences
PLO-7	Big Data Technologies Apply distributed data processing frameworks and cloud-based analytics platforms for large-scale data problems
PLO-8	Ethics & Privacy Evaluate ethical dimensions of data collection and use particularly patient data, informed consent, and algorithmic fairness in health applications
PLO-9	Domain Application Apply data science in healthcare and life sciences with contextual rigour and domain understanding
PLO-10	Communication Communicate data insights effectively and collaborate productively in multidisciplinary teams

Why Study BSDS At UBAS?

Health Data at the Core: Work beyond toy datasets, with patient records, imaging repositories, genomic databases, and public health surveillance data from within a university that generates and uses this data
True Interdisciplinarity: The only BSDS program in Lahore within a biological and applied sciences university. Collaborate with pharmacy, rehabilitation, and nutrition students on data projects with genuine health impact
Complete Data Science Stack: Python and statistics through to machine learning, big data analytics, data warehousing, NLP, and AI, covering the entire modern data science pipeline
Pre-Medical Pathway: Biology students who understand the human body become exceptional health data scientists. UBAS provides a clear bridge from pre-medical into data science
Pakistan’s Growing Data Economy: Data science is Pakistan’s most undersupplied high-skill profession; UBAS BSDS graduates enter a market that needs them urgently

Data Science In Healthcare — Our Domain Advantage

UBAS students don’t just learn data science — they apply it to problems with genuine human stakes:

Clinical Outcome Prediction: Building models that predict patient readmission rates, surgical complications, or disease progression from structured clinical data
Epidemiological Data Analysis: Analysing national disease surveillance datasets to identify transmission patterns, risk factors, and intervention effectiveness
Pharmaceutical Data Science: Supporting drug efficacy studies, adverse event detection, and clinical trial data management through statistical modelling
Health Informatics: Designing and managing electronic health record data pipelines, ensuring data quality, and enabling analytical reporting for hospital management
Population Health Analytics: Analysing large-scale health survey data (PDHS, WHO datasets) to understand health inequality and guide public health policy
Medical Image Data Analysis: Applying deep learning to image datasets from radiology, pathology, and ophthalmology to support diagnostic decision-making
Nutritional & Lifestyle Data: Analysing dietary, physical activity, and biometric data to support preventive health programs and wellness recommendations

Career Opportunities

Healthcare & Life Sciences Health Data Scientist Clinical Analytics Specialist Biostatistician Epidemiological Data Analyst Pharma Data Manager Hospital Intelligence Analyst	Core Data Science & Analytics Data Scientist Business Intelligence Developer ML Engineer Data Engineer Analytics Consultant Data Analyst	Big Data & Cloud Big Data Engineer Data Platform Engineer Cloud Analytics Specialist Data Architect MLOps Engineer
Research & Academia Data Science Researcher MS/PhD in Data Science, Statistics, or Biostatistics Public Health Researcher	Entrepreneurship Health-Tech Data Startup Founder Analytics Product Manager Independent Data Consultant	Business & Finance Financial Data Analyst Supply Chain Analytics Specialist E-Commerce Data Analyst Retail Intelligence Analyst

Criteria For Award Of Degree

Each candidate must successfully complete required degree credit hours with a minimum CGPA of 2.0 on a 4.0 scale. This is a four-year (eight-semester) program. Minimum duration: four years.

Admissions Open Fall 2026

Learn about UBAS admission requirements and eligibility for our programs.

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