Undergraduate Program
BS Data Science Technology
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Introduction
The BS Data Science Technology program trains students in data analytics, statistical modeling, big data tools, and machine learning. It combines computing, mathematics, and domain knowledge to prepare graduates for data-driven decision-making in the modern world.
About Program
Program Objectives
Data is now a core asset in every industry. This program equips students with the skills to extract insights, build predictive models, and support business intelligence. It is designed to meet the rising demand for professionals who can handle large-scale data and drive innovation.
Internship and Career Prospects
- Internships in finance, healthcare, e-commerce, and analytics firms
- Practical training with data visualization, analysis, and modeling tools
- Career roles include:
- Data Analyst
- Data Scientist
- Business Intelligence Developer
- Big Data Engineer
- AI/Data Strategy Consultant
- Opportunities in public and private sectors with growing global demand
- Strong foundation for graduate studies in Data Science and Analytics
Eligibility Criteria
- Minimum 50% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics is required for admission in all BS Computing Programs other than BS Computing Engineering.
- An equivalency certificate by IBCC will be required in case of education from some other country or system.
- Minimum 60% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics is required for admission to the BS Data Science Technology program.
- The students who have not studied Mathematics at the intermediate level have to pass deficiency courses in Mathematics (06 credits) in the first two semesters.
- The minimum duration for completion of BS degrees is four years. The HEC allows a maximum period of seven years to complete BS degree requirements.
- A minimum 2.0 CGPA (Cumulative Grade Point Average) on a scale of 4.0 is required for the award of BS Computing Degree.
Scheme of Study (Semester Wise)
1st Year
Semester 1
| Data Science Technology Program (Scheme of Study) | |||
| Semester – 1 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Programming Fundamentals (Computing I) | 1 | 2 | 3 |
| Application of Information & Communication Technologies (Computing II) | 1 | 1 | 2 |
| Applied Physics | 2 | 1 | 3 |
| Islamic Studies | 2 | 0 | 2 |
| Calculus and Analytical Geometry | 3 | 0 | 3 |
| Functional English | 3 | 0 | 3 |
| 16 | |||
Semester 2
| Semester – 2 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Object-Oriented Programming Prerequisites: PF (DS Foundation I) | 1 | 2 | 3 |
| Digital Logic Design (DS Foundation II) | 2 | 1 | 3 |
| Pakistan Studies | 2 | 0 | 2 |
| Introduction to Data science BE (DS Foundation III) | 3 | 0 | 3 |
| Linear Algebra | 2 | 0 | 2 |
| Probability and Statistics for Data Science (DS Foundation IV) | 3 | 0 | 3 |
| 16 | |||
2nd Year
Semester 3
| Semester – 3 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Data Structures and Algorithms (Computing III) | 1 | 2 | 3 |
| Technical and Business Writing | 2 | 0 | 2 |
| Artificial Intelligence (DS Foundation V) | 2 | 1 | 3 |
| Advanced Statistics (DS Breadth Core I) | 3 | 0 | 3 |
| Data Mining (DS Breadth Core II) | 1 | 2 | 3 |
| Database Application(DS Breadth Core III) | 1 | 1 | 2 |
| 16 | |||
Semester 4
| Semester – 4 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Operating Systems (DS Foundation VI) | 2 | 1 | 3 |
| Computer Organization and Assembly Language Prerequisites: DLD (DS Foundation VII) | 2 | 1 | 3 |
| Communication Skills | 3 | 0 | 3 |
| Web Technologies BE (DS Breadth Core IV) | 2 | 1 | 3 |
| Machine Learning (DS Breadth Core V) | 2 | 1 | 3 |
| Entrepreneurship | 3 | 0 | 3 |
| 18 | |||
3rd Year
Semester 5
| Semester – 5 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Introduction to Management | 3 | 0 | 3 |
| Depth Elective I | 1 | 2 | 3 |
| Depth Elective II | 2 | 1 | 3 |
| Professional Ethics | 2 | 0 | 2 |
| GE I | 2 | 1 | 3 |
| Depth Elective III | 2 | 1 | 3 |
| 17 | |||
Semester 6
| Semester – 6 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Final Year Project-I | 0 | 3 | 3 |
| Depth Elective IV | 2 | 1 | 3 |
| Depth Elective V | 2 | 1 | 3 |
| Advance Database Management System (DS Breadth Core VI) | 2 | 1 | 3 |
| IDTE I | 2 | 1 | 3 |
| 15 | |||
4th Year
Semester 7
| Semester – 7 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Final Year Project-II | 0 | 3 | 3 |
| Health, Safety & the Environment | 3 | 0 | 3 |
| Depth Elective VI | 2 | 1 | 3 |
| Deep Learning (DS Breadth Core VII) | 1 | 2 | 3 |
| GE II | 2 | 1 | 3 |
| IDTE II | 2 | 1 | 3 |
| 18 | |||
Semester 8
| Semester – 8 | |||
| Course Title | Credit Hours | ||
| Th | Pr | Total | |
| Supervise Industrial Training | 0 | 16 | 16 |
| 16 | |||
| Total Cr hr. | 132 | ||
