DATA SCIENCE
The Bachelor’s program in Data Science at DHA Suffa University builds a strong foundation in key data science principles, including algorithms, data structures, data management, and machine learning. Graduates are well-prepared for careers in data analysis, integrating essential statistical concepts with computational techniques from computer science.
MISSION
To educate and empower students to become ethical and proficient in data science, capable of addressing complex challenges through a comprehensive curriculum, practical experience, and a global perspective.
INTRODUCTION
DHA Suffa university’s BS in Data Science program is designed to help students understand vast volume of data generated as a result of latest modern data revolution. The specific syllabus enables the students to design sophisticated computing techniques in order to process this volume of information by designing expertise in machine learning, big data analysis and algorithmic complexity as well as skill development in mathematics and statistical modeling and algorithm design.
This program is suitable for students interested in either career in industry or to pursue more specialized graduate study. This program helps students to prepare career in data analysis, combining foundational statistical concepts with computational principal from computer science. The major part of this program is final year project, that teaches students about implementation of statistical and computational principal to solve large range, real world data analysis problems.
BS (Data Science) program is a four-year degree program and accredited by NCEAC (National Computing Education Accreditation Council).
Data Science students will learn to
- Define information need for individuals and organizations
- Select and transform data to increase helpfulness for solving practical problems
- Analyze unstructured data to create meaning information
- Create visualizations for data exploration
- Handle large volume of data sources
- Secure data in consistent ways with legal and organizational considerations
Learning outcomes
- Understanding of applying analytic techniques and algorithms on large dataset to extract meaningful information
- Hands on experience with specific software tools, languages, data models and data processing with visualization
- Capability to communicate results of analysis visually and verbally to audience
Career Path
- Data Architect
- Infrastructure Architect
- Data Scientist
- Data Analyst
- Data Engineer
- Machine Learning Engineer
Prospective Firms/Companies
- Real Estate Industry
- Hospital Industry
- Social Media Data Analytics Firms
- Food and Supply Industry
- Banking Sector
- Airline Industry
- Communication & Transportation Industry
- Government & Private Sector
- Insurance Industry
Discover a Future-Ready Career with Data Science at DHA Suffa University (DSU)
The BS Data Science program at DHA Suffa University (DSU) equips students with the skills to thrive in today’s data-driven world. Built on the core foundations of computer science, statistics, and mathematics, the program trains students to collect, manage, analyze, and interpret big data for strategic decision-making.
Through a curriculum that blends theory with hands-on practice, students gain expertise in machine learning, big data analytics, algorithmic complexity, and applied statistical modeling. With NCEAC accreditation, this four-year degree also features a capstone final year project, enabling students to apply computational and statistical techniques to solve real-world data challenges across industries.
Key Skills You’ll Gain in DSU’s Data Science Program
- Data Analysis & Visualization – Turning raw data into meaningful insights using tools like Python, R, and Tableau.
- Machine Learning & AI – Building predictive models to solve complex business problems.
- Big Data Processing – Working with massive datasets using Hadoop, Spark, and cloud platforms.
- Statistical Modeling – Applying advanced statistical methods for forecasting and optimization.
- Data Engineering – Designing efficient data pipelines and storage solutions.
Career Prospects in Data Science
Graduates of BS Data Science at DSU are prepared for high-demand roles such as:
- Data Scientist – Create predictive models and deliver data-driven solutions.
- Data Analyst – Interpret and visualize business-critical data.
- Data Engineer – Build and manage large-scale data infrastructures.
- Data Architect – Design data frameworks for complex systems.
- Machine Learning Engineer – Implement AI-driven applications and intelligent systems.
- Infrastructure Architect – Optimize data storage and retrieval systems.
Industries Hiring Data Science Graduates
- Healthcare and Medical Analytics
- Finance and Banking
- Real Estate and Property Management
- Social Media Analytics
- Aviation and Transportation
- Government and Public Policy
At DHA Suffa University, you’ll graduate as a future-ready data professional, capable of transforming raw data into actionable intelligence. If you want to lead in machine learning, AI, and big data analytics, BS Data Science at DSU is your gateway to success.
Data Science graduates from DSU can target Banking, Telecom, E-commerce, Healthcare, Agriculture, Energy, Government, and EdTech as high-demand sectors in Pakistan. The skills of machine learning, AI, big data, and analytics are applicable across all these industries.
Industries Hiring Data Science Graduates
- Data Scientist
- Data Analyst
- Business Intelligence (BI) Analyst
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Research Analyst (Data/AI)
- Deep Learning Specialist
At DHA Suffa University, you’ll graduate as a future-ready data professional, capable of transforming raw data into actionable intelligence. If you want to lead in machine learning, AI, and big data analytics, BS Data Science at DSU is your gateway to success.
Data Science graduates from DSU can target Banking, Telecom, E-commerce, Healthcare, Agriculture, Energy, Government, and EdTech as high-demand sectors in Pakistan. The skills of machine learning, AI, big data, and analytics are applicable across all these industries.
Core Data Roles
- Data Scientist
- Data Analyst
- Business Intelligence (BI) Analyst
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Research Analyst (Data/AI)
- Deep Learning Specialist
Industry-Specific Roles
Banking & Finance
- Risk Analyst
- Credit Scoring Specialist
- Fraud Detection Analyst
- Quantitative Analyst
Telecom & IT
- Customer Analytics Specialist
- Network Data Analyst
- Churn Prediction Analyst
E-commerce & Retail
- Recommendation System Engineer
- Product Data Analyst
- Customer Insights Analyst
Healthcare & Pharma
- Health Data Analyst
- Bioinformatics Specialist
- Clinical Data Manager
Agriculture & Agri-Tech
- Precision Agriculture Data Analyst
- IoT Data Engineer
- Remote Sensing & GIS Data Analyst
Energy & Utilities
- Energy Data Scientist
- Predictive Maintenance Engineer
- Smart Grid Data Analyst
Government & Public Sector
- Policy Data Analyst
- Urban Planning Data Scientist
- Security & Surveillance Data Analyst
Logistics & Transport
- Operations Data Analyst
- Route Optimization Specialist
- Supply Chain Data Scientist
Technology & Product-Oriented Roles
- Data Product Manager
- Analytics Consultant
- Business/Data Strategist
- Data Visualization Specialist (Tableau, Power BI)
- Big Data Engineer (Hadoop, Spark, PySpark)
Entry-Level / Graduate Friendly Roles
- Junior Data Analyst
- Associate Data Scientist
- Research Assistant (AI/ML projects)
- Data Operations Analyst
- Reporting Analyst
Eligibility Criteria for BS (Data Science)
- Intermediate or an equivalent examination (Pre-Engineering/ Pre-Medical/ General Science) with at least 50% marks; Or
- A-Level with minimum 3 passes in principal subjects
- Applicants with O-Level / A-Level and Technical studies must submit equivalence from IBCC
- At least 50% marks in DSU Entrance Test
REQUIRED DOCUMENTS
Applicants are required to bring a set of copied documents for application processing:
- Matriculation / O-Level / Equivalent Marks Sheet / Statements and Certificates
- Intermediate / Equivalent / A-Level Marks Sheet / Statements and Certificates
- Applicants with O-Level / A-Level and Technical studies must submit equivalence from IBCC
- College Provisional Certificate / Promotion Certificate by the respective Board
- A copy of CNIC and B-Form
- 3 passport-sized photographs with white background
- Admit Card / Statement of Entry is required, if awaiting result
OPTIONAL:
Valid test scores of NEDUET (current year), NTS NAT (IE/ICS) (current year) or SAT II (within two years) if appeared. Applicants Submitting NEDUET, NTS NAT (IE/ICS) or SAT II test scores shall be exempted from taking DSU’s entrance test. However, candidates who do not have good enough NEDUET, NTS NAT (IE/ICS) or SAT II scores will be advised to appear in the DSU Admissions Test for better chances of securing admission.
Program: BS DATA SCIENCE
Semester-1
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-1201 |
Introduction to ICT |
3+1 |
|
|
2 |
DS-1001 |
Programming Fundamentals |
3+1 |
|
|
3 |
DS-1003 |
Discrete Structures |
3+0 |
|
|
4 |
BS-1301 |
Calculus & Analytic Geometry |
3+0 |
|
|
5 |
HU-1002 |
English Composition & Comprehension |
2+0 |
|
Semester-2
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-1002 |
Object Oriented Programming |
4(3-1) |
Programming Fundamentals |
|
2 |
DS-1004 |
Database Systems |
4(3-1) |
|
|
3 |
BS-1302 |
Linear Algebra |
3(3-0) |
Calculus & Analytic Geometry |
|
4 |
BS-1402 |
Probability & Statistics |
3(3-0) |
|
|
5 |
HU-2001 |
Communication & Presentation Skills |
3(3-0) |
English Composition & Comprehension |
Semester-3
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-2005 |
Data Structures & Algorithms |
4(3-1) |
Programming Fundamentals |
|
2 |
DS-2006 |
Information Security |
3(3-0) |
|
|
3 |
DS-2101 |
Artificial Intelligence |
4(3-1) |
Object Oriented Programming |
|
4 |
DS-2102 |
Digital Logic Design |
4(3-1) |
|
|
5 |
BS-2302 |
Differential Equations |
3(3-0) |
Cal. & Anal. Geometry |
Semester-4
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-2007 |
Computer Networks |
4(3-1) |
|
|
2 |
DS-2104 |
Computer Org. & Assembly Language |
4(3-1) |
Digital Logic Design |
|
3 |
DS-2103 |
Analysis of Algorithms |
3(3-0) |
Data Structures & Algo |
|
4 |
DS-2402 |
Introduction to Data Science |
3(2-1) |
Artificial Intelligence |
|
5 |
DS-2401 |
Advance Statistics |
3(3-0) |
Probability & Statistics |
Semester-5
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-3008 |
Operating System- |
4(3-1) |
Data Structures & Algorithms |
|
2 |
DS-3403 |
Data Mining |
3(2-1) |
Adv Stat, Intro. to DS |
|
3 |
DS-3405 |
Data Warehousing & Business Intel. |
3(2-1) |
Intro. to Data Science |
|
4 |
|
DS Elective-1 |
3(3-0) |
|
|
5 |
|
DS Elective-2 |
3(2-1) |
|
|
6 |
|
University Elective-1 |
3(3-0) |
|
Semester-6
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-3105 |
Parallel & Distributed Computing |
3(2-1) |
OOP, Operating Sys |
|
2 |
DS-3406 |
Big Data Analytics |
3(2-1) |
Intro. to Data Science |
|
3 |
DS-3404 |
Data Visualization |
3(2-1) |
Data Warehouse & BI |
|
4 |
|
DS Elective-3 |
3(3-0) |
|
|
5 |
|
DS Elective-4 |
3(3-0) |
|
|
6 |
|
University Elective-2 |
3(3-0) |
|
Semester-7
| S.NO | COURSE CODE | COURSE | CH | PRE-REUISITE |
|---|---|---|---|---|
|
1 |
DS-4011 |
Final Year Project – I |
2(0-2) |
|
|
2 |
DS-4009 |
Software Engineering |
3(3-0) |
|
|
3 |
|
University Elective-3 |
3(3-0) |
|
|
4 |
HU-2009 |
Technical & Business Writing |
3(3-0) |
Communication & Presentation Skills |
|
5 |
HU-2201 |
Islamic Studies/ Ethics |
2(2-0) |
|
Semester-8
| S.NO | COURSE CODE | COURSE | CH | PRE-REQUISITE |
|---|---|---|---|---|
|
1 |
DS-4012 |
Final Year Project – II |
4(0-4) |
Final Year Project – I |
|
2 |
|
University Elective-4 |
3(3-0) |
|
|
3 |
DS-4201 |
Professional Practices |
3(3-0) |
|
|
4 |
|
University Elective – IV |
|
|
|
5 |
HU-2101 |
Pakistan Studies |
2(2-0) |
|
| # | COURSE GROUP | CREDIT HOURS | MIN. NO OF COURSES |
|---|---|---|---|
|
1 |
General Education |
19 |
7 |
|
2 |
University Electives |
12 |
4 |
|
3 |
Mathematics and Science Foundation |
12 |
4 |
|
4 |
Computing Core |
39 |
11 |
|
5 |
Computer Science Core |
18 |
5 |
|
6 |
DS Core (Domain Core) |
18 |
6 |
|
7 |
DS Electives (Domains Electives |
12 |
4 |
|
Total |
130 |
47 |
|
| PROGRAM | ONE TIME CHARGES (ONLY IN 1ST SEMESTER FEES) | PER SEMESTER | |||||
|---|---|---|---|---|---|---|---|
| ADMISSION FEE | CAUTION MONEY (REFUNDABLE) | IT CHARGES | MISC. CHARGES | Examination Charges (Per Course) | LAB CHARGES (PER CREDIT HOUR) |
TUITION FEE (PER CREDIT HOUR) |
|
| BS(Data Science) | 15,000 | 10,000 | 5,500 | 6,850 | 1,000 | 10,000 | 5,770 |
| PROGRAMS | 1ST SEMESTER FEE AMOUNT | SEMESTER FEE (WITHOUT ADM & C/ MONEY) | CREDIT HOURS 1ST SEMESTER |
|---|---|---|---|
| BS(Data Science) | 143,130 | 118,130 | 14 + 2 |
| Semester | I | II | III | IV | V | VI | VII | VIII |
|---|---|---|---|---|---|---|---|---|
| Theory Cr. Hr. | 14 | 15 | 15 | 15 | 15 | 15 | 11 | 8 |
| Lab Cr. Hr. | 2 | 2 | 3 | 2 | 4 | 3 | 2 | 4 |
| PLO NO | Program Objective | GA-1 | GA-2 | GA-3 | GA-4 | GA-5 | GA-6 | GA-7 | GA-8 | GA-9 | GA-10 |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
PLO-1 |
To be able to apply data analytical skills for evaluating data from multiple disciplines for fulfilling futuristic organizational decision-making needs. |
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PLO-2 |
To demonstrate effective communication and comprehension capabilities required for data gathering, analysis, inference, and expression of derived knowledge. |
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PLO-3 |
To become effective team players who implement data analytics solutions, while ensuring all possible ethical aspects. |
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List of Graduate Attributes (GAs)
- Academic Education
- Knowledge for Solving Computing Problems
- Problem Analysis
- Design/ Development of Solutions
- Modern Tool Usage
- Individual and Team Work
- Communication
- Computing Professionalism and Society
- Ethics
- Life-long Learning
