Bachelor of Science (Data Science)
Those who have taken the HSSC or an equivalent examination and are awaiting result are also eligible to apply. The four-year undergraduate programs of full time study are divided into eight semesters.
Program Mission:
To provide theoretical knowledge and
practical skills required for a professional career in computing and Data Science. The degree program follows Data
Science in breadth covering core computing with a specialization in Data Science and its application within a code
of ethics.
You may become Bachelor of Science (Data Science) scientist business analyst, big data analyst social networks analyst, data engineering, decision scientist, data quality assurance experts, business analyst, business intelligence analyst, data consultant ,data associate, database developer software engineer, machine learning engineer etc.
Award of Degree:For the award of Bachelor of Science (Data Science) degree, a student must have:
- Passed courses totaling at least 137 credit hours, including all core courses.
- Earned CGPA of at least 2.00
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | NS1001 Applied Physics | 3+0 |
| 2 | MT1003 Calculus and Analytical Geometry | 3+0 |
| 3 | SS1012 Functional English | 2+1 |
| 4 | SS1013 Ideology and Constitution of Pakistan | 2+0 |
| 5 | CL1000 Introduction to Information and Communication Technology | 0+1 |
| 6 | SS1015 Pakistan Studies | 2+0 |
| 7 | CS1002 Programming Fundamentals | 3+1 |
| Total | 15 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | SS3002 Civics and Community Engagement | 2+0 |
| 2 | EE1005 Digital Logic Design | 3+1 |
| 3 | SS1014 Expository Writing | 2+1 |
| 4 | SS1007 Islamic Studies/Ethics | 2+0 |
| 5 | MT2008 Multivariable Calculus | 3+0 |
| 6 | CS1004 Object Oriented Programming | 3+1 |
| 7 | SS1019 Understanding Sirat-Un-Nabi (PBUH) | NC+0 |
| Total | 15 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | EE2003 Computer Organization and Assembly Language | 3+1 |
| 2 | CS2001 Data Structures | 3+1 |
| 3 | CS1005 Discrete Structures | 3+0 |
| 4 | DS2001 Introduction to Data Science | 3+1 |
| 5 | MT1004 Linear Algebra | 3+0 |
| 6 | SS1021 Understanding of Holy Quran – I | 1+0 |
| Total | 16 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | DS2003 Advanced Statistics | 3+0 |
| 2 | CS2005 Database Systems | 3+1 |
| 3 | CS2004 Fundamentals of Software Engineering | 3+0 |
| 4 | CS2006 Operating Systems | 3+1 |
| 5 | MT2005 Probability and Statistics | 3+0 |
| 6 | SS1022 Understanding of Holy Quran – II | 1+0 |
| Total | 16 + 2 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 5 |
||
| 1 | AI2002 Artificial Intelligence | 3+1 |
| 2 | DS3001 Data Analysis and Visualization | 3+1 |
| 3 | DS2003 Data Warehousing and Business Intelligence | 3+1 |
| 4 | CS2009 Design and Analysis of Algorithms | 3+0 |
| 5 | SS2007 Technical and Business Writing | 3+0 |
| Total | 15 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 6 |
||
| 1 | CS3001 Computer Networks | 3+1 |
| 2 | DS3002 Data Mining | 3+0 |
| 3 | CS3006 Parallel and Distributed Computing | 3+0 |
| 4 | DSxxxx DS Elective - I | 3+0 |
| 5 | SS/MG Elective - I | 2+0 |
| Total | 14 + 1 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 7 |
||
| 1 | MG4011 Entrepreneurship | 3+0 |
| 2 | DS4091 Final Year Project - I | 0+3 |
| 3 | DSxxxx DS Elective - II | 3+0 |
| 4 | DSxxxx DS Elective - III | 3+0 |
| 5 | SS/MG Elective - II | 3+0 |
| Total | 12 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 8 |
||
| 1 | DS4092 Final Year Project - II | 0+3 |
| 2 | CS3002 Information Security | 3+0 |
| 3 | CS4001 Professional Practices | 3+0 |
| 4 | DSxxxx DS Elective - IV | 3+0 |
| 5 | DSxxxx DS Elective - V | 3+0 |
| Total | 12 + 3 | |
| 6 | CSxxxx Computing Internship * | 0+1 |
| Domain | Cr. Hrs |
|---|---|
| Computing Core | 52 |
| General Education | 34 |
| Maths and Supporting Courses | 12 |
| Domain Core | 21 |
| Domain Elective | 15 |
| Elective Supportive Courses | 3 |
| Total | 137 |
Note 1: Total: 137
Note 2: Registration in “Final Year Project-I” is allowed provided the student has earned at least 95 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).
Note 3: * Internship can be registered in any semester after the second and including the eighth semester. The Internship credit hours and grade shall be used in the calculation of the CGPA of the completed degree. It will not be used in the determination of semester CGPA and merit position.
Program Educational Objectives (PEO)
- PO 1: Fundamental Computing Knowledge & Continuous Improvement: Demonstrate proficiency in applying acquired computing knowledge to fulfill professional responsibilities effectively and actively seek opportunities to explore emerging fields, advancements and research in computing to enhance organizational outcomes.
- PO 2: Ethical and Societal Responsibilities: Demonstrate a commitment to integrating ethical principles and societal concerns into their professional practices and decision making.
- PO 3: Communication Skills and Leadership: Proficiently communicate technical and managerial information, both orally and in writing, while effectively leading assigned groups/teams or operating in entrepreneurial environments.
Program Learning Outcomes (PLOs)
|
1 |
Academic Education |
Completion of an accredited program (BS DS) of study designed to prepare graduates as computing professionals |
|
2 |
Knowledge for Solving Computing Problems |
Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements |
|
3 |
Problem Analysis |
Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines |
|
4 |
Design/ Development of Solutions |
Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations |
|
5 |
Modern Tool Usage |
Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations |
|
6 |
Individual and Team Work |
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings |
|
7 |
Communication |
Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions |
|
8 |
Computing Professionalism and Society |
Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice |
|
9 |
Ethics |
Understand and commit to professional ethics, responsibilities, and norms of professional computing practice |
|
10 |
Life-long Learning |
Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional |