BS Data Science (4 Year Program)
BS Data Science is a comprehensive undergraduate program affiliated with GCUF that integrates computer science, statistics, and domain expertise to extract meaningful insights from large datasets. The program covers programming languages like Python and R, statistical analysis, machine learning algorithms, data visualization, database management, and big data technologies. Students learn to collect, process, analyze, and interpret complex data to solve real-world problems across various industries.
Career Opportunities
- Technology companies and startups as data scientists and machine learning engineers
- Financial institutions and banks as data analysts and risk assessment specialists
- Healthcare organizations and pharmaceutical companies as biostatisticians and clinical data analysts
- E-commerce and retail companies as business intelligence analysts and customer insights specialists
- Government agencies and research institutions as data researchers and policy analysts
- Consulting firms and freelancing opportunities for data-driven project work and analytics consulting
Program Educational Outcome (PEO)
- Excel as data science professionals and advance to senior analyst, data scientist, or leadership roles in technology and analytics organizations
- Demonstrate expertise in emerging data technologies and contribute to innovation in artificial intelligence, machine learning, and data-driven decision making
- Pursue continuous professional development through advanced certifications, specialized training, and lifelong learning to adapt to evolving data science landscapes
- Serve as ethical data leaders who promote responsible data practices and contribute to society through data-driven solutions to complex problems
Program Learning Outcome (PLO)
- Demonstrate comprehensive knowledge of statistical methods, machine learning algorithms, and data analysis techniques
- Apply programming skills in Python, R, and SQL to collect, clean, and manipulate large datasets
- Design and implement predictive models and machine learning solutions for complex business problems
- Utilize data visualization tools and techniques to communicate insights effectively to stakeholders
- Apply statistical inference and hypothesis testing to draw meaningful conclusions from data
- Understand and implement big data technologies and distributed computing frameworks
- Demonstrate proficiency in database design, management, and query optimization
- Apply ethical principles and privacy considerations in data collection and analysis
- Communicate technical findings clearly to both technical and non-technical audiences
- Work effectively in interdisciplinary teams to solve data-driven problems
- Evaluate and select appropriate analytical methods for different types of data and research questions
- Engage in continuous learning to stay current with emerging data science technologies and methodologies
✅ Minimum 50% Marks or equivalent in Intermediate
✅ Mathematics in intermediate is Mandatory.
✅ FSC Pre Medical Students must have to pass deficiency courses of Mathematics (06 credit hours) in first two semesters.
Application Procedures
Doctorsimes offers two convenient methods for submitting applications:
Method 1: On-Campus Application
- Visit the admissions office during working hours (9am to 5pm).
- Obtain the admission form.
- Complete the form with accurate information.
- Submit the completed form along with required documents.
- Collect acknowledgment receipt from the admissions office.
Method 2: Online Application
- Visit the official website of Doctorsimes. Click on this link to access the admission form available on Doctorsimes website: https://doctorsimes.edu.pk/apply-now
- Fill out the application form correctly.
- Upload copies of required documents.
- Submit the completed online application.
Required Documents
All applicants must submit the copies of following documents:
- SSC / O-Level Degree
- HSSC / A Level Degree
- Student B-Form / CNIC
- Guardian CNIC
- 4 Passport Size Pictures with Blue Background
- Character Certificate
- NOC (if applicable)
- Domicile
Important Notes
- All documents must be clear and legible.
- Ensure all required documents are submitted to avoid application rejection.
- Online applicants must submit their original documents.
- Incomplete applications will not be processed.
Admission Policy
The admission regulations have been formulated by the Admission Committee based on recommendations from the Academic Council of Doctorsimes and may be subject to modifications in subsequent years as deemed necessary by the competent authority of Doctorsimes.
Admission Guidelines
Following are the admission guidelines, inclusive of amendments made to date, for securing admission in Doctorsimes:
- All Pakistani nationals can apply.
- Students must apply afresh every year; applications from previous years will not be entertained.
- Result-awaiting students can apply.
- The admission process will be completed within one month after the SSC/FSc results each year, except for certain circumstances.
- No admission form will be accepted after the due date for submission of forms.
- Candidates can visit the campus and apply by completing the admission form
- Candidates can also apply from our official website https://doctorsimes.edu.pk/apply-now
- Hostels facility is available.
- Transportation service (pick and drop) will be provided.
- Candidates claiming to be Muslim Hafiz-e-Quran shall attach three (03) attested copies of the Hafiz-e-Quran Certificate issued by a registered Madrassa.
- Additional marks will be awarded to Muslim Hafiz-e-Quran candidates in their SSC/F.Sc or equivalent examination results as per institutional policy.
- Students applying for additional marks on the basis of Muslim Hafiz-e-Quran will have to pass the Hafiz-e-Quran test organized by Doctorsimes.
Semester 1
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-301 | Programming Fundamentals | 4 |
| CSI-321 | Introduction to Computing Applications | 3 |
| ENG-322 | English Comprehension & Composition | 3 |
| ISL-321/ ISL-322 | Islamic Studies/ Ethics | 2 |
| MTH-323 | Calculus & Analytic Geometry | 3 |
| STA-301 | Introduction to Statistics | 3 |
| Total Credit Hours: | 18 | |
Semester 2
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-302 | Object Oriented Programming | 4 |
| CSI-405 | Discrete Structures | 3 |
| ENG-421 | Communication Skills | 3 |
| MTH-424 | Linear Algebra | 3 |
| PST-321 | Pakistan Studies | 2 |
| STA-328 | Probability and Probability Distributions | 3 |
| Total Credit Hours: | 18 | |
Semester 3
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-401 | Data Structures & Algorithms | 4 |
| CSI-406 | Database Systems | 4 |
| DSC-401 | Introduction to Data Science | 3 |
| MTH-423 | Differential Equations | 3 |
| STA-304 | Introduction to Regression Analysis | 3 |
| SWE-401 | Introduction to Software Engineering | 3 |
| Total Credit Hours: | 20 | |
Semester 4
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-402 | Analysis of Algorithms | 3 |
| CSI-403 | Computer Organization & Assembly Language | 4 |
| CSI-502 | Artificial Intelligence | 4 |
| DSC-402 | Statistical Inference in Data Science | 3 |
| ELE-401 | Digital Logic Design | 4 |
| Total Credit Hours: | 18 | |
Semester 5
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-501 | Operating Systems | 4 |
| DSC- | DSC Elective-1 | 3 |
| DSC- | DSC Elective-2 | 3 |
| DSC-502 | Data Mining | 3 |
| DSC-503 | Data Warehousing & Business Intelligence | 3 |
| DSC-504 | Statistical Software for Data Analysis | 4 |
| Total Credit Hours: | 20 | |
Semester 6
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-504 | Computer Networks | 4 |
| DSC- | DSC Elective-3 | 3 |
| DSC-505 | Introduction to Big Data Analytics | 3 |
| DSC-506 | Data Visualization | 3 |
| MGT-508 | Fundamentals of Business Administration | 3 |
| Total Credit Hours: | 16 | |
Semester 7
| Code | Subject | Credit Hours |
|---|---|---|
| CSI-604 | Information Security | 3 |
| CSI-605 | Parallel & Distributed Computing | 3 |
| DSC- | DSC Elective-4 | 3 |
| DSC-641 | Final Year Project - I | 3 |
| ECO-408 | Introduction to Pakistani Economy | 3 |
| ENG-422 | Technical Writing | 3 |
| Total Credit Hours: | 18 | |
Semester 8
| Code | Subject | Credit Hours |
|---|---|---|
| DSC- | DSC Elective-5 | 3 |
| DSC-642 | Final Year Project - II | 3 |
| GEO-304 | Fundamentals of GIS (Geographic Information System) | 3 |
| Total Credit Hours: | 9 | |
Program Summary
Total Semesters
8
Total Subjects
43
Total Credit Hours
137
Open Merit Fee - Semester 1
| Fee Heads | Semester 1 Fee (Rs) |
|---|---|
| Admission Fee (Once at Admission) | 20,000 |
| Tuition Fee for 1st Semester after discount | 50,000 |
| Hostel Fee (Per Month) Exclusive Mess | 5,000 |
| TOTAL FEE | 75,000 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 2
| Fee Heads | Semester 2 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 3
| Fee Heads | Semester 3 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 4
| Fee Heads | Semester 4 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 5
| Fee Heads | Semester 5 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 6
| Fee Heads | Semester 6 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 7
| Fee Heads | Semester 7 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Open Merit Fee - Semester 8
| Fee Heads | Semester 8 Fee (Rs) |
|---|---|
| TOTAL FEE | 0 |
Hostel Dues
| Particulars | Rupees |
|---|---|
| TOTAL | 0 |
Rabeeha Fazal
Lecturer
Education
MS Information Security
<p>Rabeeha Fazal is a Lecturer in Data Science with MS in Information Security, specializing in secure data analytics, cybersecurity frameworks, and data protection methodologies.</p>
Ali Hassan
Lecturer
Education
MS Artificial Intelligence
<p>Ali Hassan is a Lecturer in Data Science with MS in Artificial Intelligence, specializing in machine learning algorithms, data analytics, and AI-driven computational solutions.</p>