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BS Data Science

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Program Overview

Credit Hours

140

Duration

4 Years

Semesters

8

Attendance

Full-time

The BS Data Science program at Superior University is a 4-year undergraduate degree at the intersection of mathematics, statistics, computer science, and domain knowledge. Students develop expertise in statistical analysis, machine learning, deep learning, data engineering, SQL and NoSQL databases, data visualization, big data technologies, cloud data platforms, and business analytics — using Python, R, SQL, Tableau, Power BI, TensorFlow, Spark, and AWS/Azure data services.

The program prepares graduates for careers in data analysis, machine learning engineering, data engineering, business intelligence, and research — across technology, finance, healthcare, government, and manufacturing sectors. The 3U1M model ensures one full year of data industry engagement before graduation.

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Character

Data Ethics & Honest Analysis — Data scientists influence decisions affecting millions — through biased models, cherry-picked statistics, and misleading visualizations. This program builds analysts who present data honestly, flag model limitations explicitly, and refuse to allow data to be manipulated to support predetermined conclusions.

Courage

The Courage to Find Patterns Nobody Has Found — Great data science requires the intellectual courage to explore data without a predetermined hypothesis, acknowledge uncertainty in findings, and publish results that contradict what decision-makers expect or prefer.

Competence

Full-Stack Data Science Technical Mastery — Students develop hands-on competence in Python, R, SQL, machine learning, deep learning, data visualization, big data, cloud data platforms, and MLOps — producing data scientists who can collect, clean, analyze, model, and deploy data solutions across real-world organizational environments

Why choose BS Data Science at Superior University?
  • Full Data Science Stack — Python, R, SQL, TensorFlow, Spark, Tableau, Power BI, AWS/Azure data platforms.
  • Deep Learning & NLP — Advanced deep learning, natural language processing, and computer vision.
  • Big Data Technologies — Apache Spark and Hadoop for large-scale data processing.
  • Business Intelligence Track — Power BI and Tableau for data-driven business decision support.
  • MLOps & Deployment — Machine learning deployment and operations skills — bridging data science and software engineering.
  • 3U1M Employability Guarantee — One full year in data organizations before graduation.

Key Skills You Will Master

Python for Data Science

Statistical Analysis & Probability

Machine Learning

Deep Learning & NLP

Data Visualization

SQL & Database Engineering

Big Data Technologies

Cloud Data Platforms & MLOps

Career Outcomes

Data Scientist

Technology, Finance & Healthcare

ML Engineer

AI & Technology Companies

Data Analyst

Organizations Across All Sectors

Business Intelligence Analyst

Corporate & Consulting

Program Roadmap

Explore courses roadmap in BS Data Science
CourseCredit Hours
Application of Information & Communication Technology (Theory)2
Application of Information & Communication Technology (Lab)1
Applied Physics (Theory)2
Applied Physics (Lab)1
Leading with Character3
Functional English3
Ideology and Constitution of Pakistan2
Discrete Structures3
Understanding of Holy Quran I1
Pre-Calculus3
Total Credit Hours21
CourseCredit Hours
Calculus & Analytical Geometry3
Programming Fundamentals (Theory)3
Programming Fundamentals (Lab)1
Digital Logic Design (Theory)2
Digital Logic Design (Lab)1
Expository Writing3
Probability & Statistics3
Understanding of Holy Quran II1
Pre-Algebra3
Total Credit Hours20
CourseCredit Hours
Object Oriented Programming (Theory)3
Object Oriented Programming (Lab)1
Multivariable Calculus3
Software Engineering3
Social Science3
Islamic studies2
Artificial Intelligence (Theory)2
Artificial Intelligence (Lab)1
Total Credit Hours18
CourseCredit Hours
Database Systems (Theory)3
Database Systems (Lab)1
Computer Networks (Theory)2
Computer Networks (Lab)1
Data Structures (Theory)3
Data Structures (Lab)1
Linear Algebra3
Total Credit Hours14
CourseCredit Hours
Introduction to Data Science (Theory)2
Introduction to Data Science (Lab)1
Operating Systems (Theory)2
Operating Systems (Lab)1
DS Elective-I3
Technopreneurship3
Analysis of Algorithms3
Advanced Statistics (Theory)2
Advanced Statistics (Lab)1
Total Credit Hours18
CourseCredit Hours
Technical & Business Writing3
Information Security (Theory)2
Information Security (Lab)1
Data Mining (Theory)2
Data Mining (Lab)1
Computer Organization & Assembly Language (Theory)2
Computer Organization & Assembly Language (Lab)1
DS Elective-II3
Total Credit Hours15
CourseCredit Hours
DS Elective-III3
Social Entrepreneurship Program3
Final Year Project (part-I)3
DS Elective-IV3
DS Elective-V3
Data Visualization (Theory)2
Data Visualization (Lab)1
Total Credit Hours18
CourseCredit Hours
Data Warehousing & Business Intelligence (Theory)2
Data Warehousing & Business Intelligence (Lab)1
Final Year Project (part-II)3
DS Elective-VI3
Parallel & Distributed Computing (Theory)2
Parallel & Distributed Computing (Lab)1
Professional Practices2
DS Elective-VII3
Total Credit Hours17

What sets us apart

Discover the unique opportunities, global exposure, and industry-focused learning that make Superior University stand out.

3 Years in University, 1 Year in Market (3U1M)

Some pathways are designed to be faster. This one is designed to be closer to reality. The 3U1M model blends academic depth with structured industry exposure. Students move between classroom learning and professional practice, building not only knowledge, but relevance. By the time they graduate, they are not stepping into the workforce. They are already part of it.

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Research at Superior University

Research is not a requirement. It is a responsibility. At Superior University, faculty and students work together on questions that matter beyond academia. Industry challenges, practical problems, real consequences. The aim is not publication alone. It is an impact.

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International Students at Superior

A university is defined by the diversity it holds. At Superior University, international students are part of a shared academic space shaped by inclusion, cultural exchange, and support that feels personal, not procedural. They come to study. They leave having experienced a wider world.

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Teaching and Learning Framework

Teaching is not about delivery. It is about transformation. At Superior University, learning is designed around experience, interaction, and outcomes that matter beyond exams. Knowledge is taught. But more importantly, it is used.

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Admissions & Eligibility

Domestic Applicants

Intermediate or Equivalent with minimum 50% marks.

International Applicants

Intermediate or Equivalent with minimum 50% marks.

⚠️ Important

Always refer to the Admissions Office for the current criteria, deadlines and documentation.

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