BS Data Sciences
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Credit Hours
139
Duration
8 Semesters (4 years)
Semesters
8
Attendance
Full-time
The BS Data Science at TUF is a four-year degree that teaches you how to find hidden patterns in large amounts of information. This program combines math, statistics, and computer science to help you turn raw data into smart decisions. It is designed for students who love solving puzzles and want to work in the fast-growing world of Big Data.
Why choose BS Data Sciences at TUF?
Choosing this program at TUF gives you the tools to become a data expert in a professional and tech-driven environment.
- Access to high-speed computing labs for processing massive datasets.
- Learning from faculty who are experts in statistical modeling and data mining.
- Curriculum that focuses on the latest tools like Python, R, and Tableau.
- Opportunities to work on real-world data from hospitals and industries.
- Supportive environment that prepares you for high-paying global tech jobs.
Key Skills You Will Master
Data Analysis
Statistical Methods
Python Programming
Database Management
Data Visualization
Machine Learning Basics
Career Outcomes
- Data Analyst or Data Scientist
- Business Intelligence (BI) Developer
- Machine Learning Engineer
- Data Consultant for private firms
- Database Manager or Data Engineer
- Data Journalist or Research Analyst
Program Roadmap
Explore courses roadmap in BS Data Sciences
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| GEN-104 | IDEOLOGY AND CONSTITUTION PAKISTAN | - | - | 2 (2-0) |
| ISL-103 | TEACHING HOLY QURAN WITH TRANSLATION I | - | - | Non-Credit |
| ENG-107 | FUNCTIONAL ENGLISH | - | - | 3 (3-0) |
| CS-102 | APPLICATION INFORMATION AND COMMUNICATION TECHNOLOGIES | - | - | 3 (2-1) |
| CS-111 | PROGRAMMING FUNDAMENTALS | - | - | 4 (3-1) |
| PHY-102 | APPLIED PHYSICS | - | - | 3 (2-1) |
| MATH-105 | BASIC MATH I DEFICIENCY SUBJECT PRE MEDICAL STUDENTS | - | - | 3 (3-0) |
Total Credit Hours
15
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| ISL-101 | ISLAMIC STUDIES | - | - | 2 (2-0) |
| ENG-108 | EXPOSITORY WRITING | - | - | 3 (3-0) |
| ISL-104 | TEACHINGS HOLY QURAN WITH TRANSLATION II | - | - | Non-Credit |
| CS-204 | DIGITAL LOGIC DESIGN | - | - | 3 (2-1) |
| CS-112 | OBJECT ORIENTED PROGRAMMING | - | - | 4 (3-1) |
| CS-202 | DISCRETE STRUCTURES | - | - | 3 (3-0) |
| GEN-304 | PROFESSIONAL PRACTICES | - | - | 2 (2-0) |
| MATH-106 | BASIC MATH II DEFICIENCY SUBJECT PRE MEDICAL STUDENTS | - | - | 3 (3-0) |
Total Credit Hours
17
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| ISL-201 | TEACHINGS HOLY QURAN WITH TRANSLATION III | - | - | Non-Credit |
| ENG-201 | TECHNICAL AND BUSINESS WRITING | - | ENG-102 | 3 (3-0) |
| CS-113 | SOFTWARE ENGINEERING | - | - | 3 (3-0) |
| CS-216 | DATA STRUCTURES | - | CS-112 | 4 (3-1) |
| MATH-104 | CALCULUS AND ANALYTICAL GEOMETRY | - | - | 3 (3-0) |
| CS-308 | ARTIFICIAL INTELLIGENCE | - | CS-202 | 3 (2-1) |
| GEN-203 | COMMUNITY SERVICE LEARNING | - | 2 (2-0) |
Total Credit Hours
18
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| MATH-214 | LINEAR ALGEBRA | - | - | 3 (3-0) |
| PSY-201 | PSYCHOLOGY | - | - | 2 (2-0) |
| GEN-206 | ENTREPRENEURSHIP | - | - | 2 (2-0) |
| ISL-202 | TEACHINGS HOLY QURAN WITH TRANSLATION IV | - | - | Non-Credit |
| CS-213 | DATABASE SYSTEMS | - | CS-203 | 4 (3-1) |
| AI-414 | MACHINE LEARNING | - | - | 3 (2-1) |
| CS-221 | OPERATING SYSTEMS | - | CS-203 | 3 (2-1) |
Total Credit Hours
17
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| CS-302 | COMPUTER ORGANIZATION AND ASSEMBLY LANGUAGE | - | CS-111 | 3 (2-1) |
| CS-301 | ANALYSIS ALGORITHMS | - | CS-203 | 3 (3-0) |
| STAT-311 | PROBABILITY AND STATISTICS | - | - | 3 (3-0) |
| CS-321 | HCI AND COMPUTER GRAPHICS | - | - | 3 (2-1) |
| DS-301 | INTRODUCTION TO DATA SCIENCE | - | - | 3 (2-1) |
| CS-320 | ADVANCED DATABASE MANAGEMENT SYSTEMS | - | - | 3 (2-1) |
Total Credit Hours
18
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| CS-307 | COMPUTER NETWORKS | - | - | 3 (2-1) |
| AI-302 | ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING | - | - | 3 (2-1) |
| MATH-224 | MULTIVARIABLE CALCULUS | - | MATH-104 | 3 (3-0) |
| CS-317 | THEORY AUTOMATA | - | 3 (3-0) | |
| DS-303 | DATA MINING | - | - | 3 (2-1) |
| DS-304 | TOPICS IN DATA SCIENCE | - | MATH-104 | 3 (2-1) |
Total Credit Hours
18
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| DS-404 | DATA VISUALIZATION | - | CS-317 | 3 (2-1) |
| DS-402 | DATA WAREHOUSING AND BUSINESS INTELLIGENCE | - | - | 3 (2-1) |
| MGT-305 | FINANCIAL ACCOUNTING | - | - | 3 (3-0) |
| CS-404 | INFORMATION SECURITY | - | - | 3 (2-1) |
| DS-401 | ADVANCED STATISTICS | - | - | 3 (2-1) |
| CS-425 | FINAL YEAR PROJECT PHASE –I | - | - | 2 (0-2) |
Total Credit Hours
17
| Course Code | Course Title | Nature | Prerequisite | Credit Hours |
|---|---|---|---|---|
| DS-403 | BIG DATA ANALYTICS | - | - | 3 (2-1) |
| CS-403 | PARALLEL AND DISTRIBUTED COMPUTING | - | CS-225 | 3 (2-1) |
| CS-427 | FINAL YEAR PROJECT PHASE –II | - | CS-415 | 4 (0-4) |
| GEN-401 | INTERNSHIP | - | - | 3 (0-3) |
Total Credit Hours
13
Admissions & Eligibility
Minimum 50% marks in Intermediate/12 years schooling/A- Level (HSSC) or equivalent with Mathematics are required for admission in all BS Computing Programs other than BS computing Engineering. *Equivalency certificate by IBCC will be required in case of education from some other country and system.
Next Steps
Start ApplicationFAQs
It is a four-year undergraduate program focused on data analysis, statistics, and decision-making using modern tools.
Yes, students work on labs, projects, and real datasets throughout the degree.
You will learn data analysis, visualization, statistical modeling, and analytical problem-solving.
Graduates can work as data analysts, data scientists, machine learning engineers, or research professionals.
Yes, graduates can continue with MS, MPhil, or research programs in data science or related fields.