B.S. DATA SCIENCE
INTRODUCTION
With a BS in Data Science, you will become the next generation analyst – a data scientist with comprehensive analytical and technical skills covering all aspects of handling and analyzing data. By deriving key insights from data you will be driving the decision-making of the future. You will learn to work in interdisciplinary teams and not only make sense of vast amounts of data, but also use your organizational knowledge and market understanding to make a difference.
SCOPE & OPPORTUNITIES
Data Science is exponentially growing field these days especially after the evolution of 5G and IoT applications. The specialized human resource in this field is highly in demand. Since students will be exposed to cases and other pedagogical tools, as well as interact regularly with the corporate sector, graduates are expected to be absorbed in the value-addition sectors of Pakistan, including technology, food and beverages, transportation, telecom, automotive, and the health sectors. They will also be able to engage in start-up businesses pertaining to cloud services and data mining & management technologies.
PROGRAM EDUCATIONAL OBJECTIVES (PEOS)
Consistent with the Department of SE Vision and Mission, the Program Educational Objectives of the study program BS Data Science are:
- PEO 1: To produce team leaders having theoretical and practical knowledge with algorithms, instruments, techniques and methods used in field of Data Science & Management.
- PEO 2: To produce graduates with the ability to design & analyze small and large-scale database identifying problematic components, selecting solution strategies, implementing the necessary adjustments without compromising the professional ethics.
- PEO 3: To produce graduates with necessary skills needed to independently start scientific research with the ability to independently apply publicized results or techniques in a new context.
SCHEME OF STUDIES
Semester — I
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-107 | Introduction to Info. & Comm.Technologies | 2 | 1 | 2+1 |
| 2 | CS-104 | Programming Fundamentals | 3 | 1 | 3+1 |
| 3 | NS-106 | Applied Physics | 2 | 1 | 2+1 |
| 4 | NS-109 | Calculus and Analytical Geometry | 3 | 0 | 3+0 |
| 5 | HS-100/ HS-102 | Islamic Studies /Ethical Behavior | 2 | 0 | 2+0 |
| 6 | HS-103 | Pakistan Studies | 2 | 0 | 2+0 |
| Total | 14 | 3 | 17 | ||
Semester — II
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-103 | Discrete Structures | 3 | 0 | 3+0 |
| 2 | CS-112 | Object Oriented Programming | 3 | 1 | 3+1 |
| 3 | NS-201 | Linear Algebra | 3 | 0 | 3+0 |
| 4 | MS-101 | Principles of Accounting | 3 | 0 | 3+0 |
| 5 | HS-114 | Communication & Presentation Skills | 3 | 0 | 3+0 |
| Total | 15 | 1 | 16 | ||
Semester — III
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS- 201 | Exploratory Data Analysis and Visualization | 2 | 1 | 2+1 |
| 2 | CS-222 | Data Structures | 2 | 1 | 2+1 |
| 3 | NS-206 | Probability and Statistics | 3 | 0 | 3+0 |
| 4 | CS-203 | Fundamentals of Data Science | 2 | 1 | 2+1 |
| 5 | MS-211 | Micro and Macro Economics | 3 | 0 | 3+0 |
| 6 | EE-212 | Digital Logic Design | 2 | 1 | 2+1 |
| Total | 14 | 4 | 8 | ||
Semester — IV
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-233 | Introduction to Database System | 3 | 1 | 3+1 |
| 2 | CS-234 | Operating Systems | 3 | 1 | 3+1 |
| 3 | MS-106 | Principle of Marketing | 3 | 0 | 3+0 |
| 4 | CS-225 | Computer Architecture and Organization | 3 | 0 | 3+0 |
| 5 | NS-311 | Numerical and Symbolic Computing | 2 | 1 | 2+1 |
| Total | 14 | 3 | 17 | ||
Semester — V
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | SE-212 | Introduction to Software Engineering | 2 | 1 | 2+1 |
| 2 | CS-311 | Modeling and Simulation | 2 | 1 | 2+1 |
| 3 | CS-355 | Computer Communication and Networks | 3 | 1 | 3+1 |
| 4 | CS-354 | Machine Learning | 3 | 1 | 3+1 |
| 5 | HS-222 | Technical Report Writing | 3 | 0 | 3+0 |
| Total | 13 | 4 | 17 | ||
Semester — VI
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-351 | Automata Theory and Formal Language | 3 | 0 | 3+0 |
| 2 | CS-304 | Information and Data Security | 3 | 0 | 3+0 |
| 3 | CS-336 | Data Mining | 2 | 1 | 2+1 |
| 4 | CS-413 | Web Engineering | 2 | 1 | 2+1 |
| 5 | CS-337 | Natural Language Processing | 2 | 1 | 2+1 |
| 6 | CS-335 | Design and Analysis of Algorithms | 3 | 0 | 3+0 |
| Total | 15 | 3 | 18 | ||
Semester — VII
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-450 | Final Year Project –I | 0 | 3 | 0+3 |
| 2 | CS-455 | Deep Learning and Applications | 3 | 1 | 3+1 |
| 3 | CS-433 | Mobile Application Development | 3 | 1 | 3+1 |
| 4 | MS-414 | Entrepreneurship and Leadership | 3 | 0 | 3+0 |
| Total | 9 | 5 | 14 | ||
Semester — VIII
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-450 | Final Year Project –II | 0 | 3 | 0+3 |
| 2 | CS-454 | Cloud Computing | 2 | 1 | 2+1 |
| 3 | CS-456 | Big Data Analytics | 2 | 1 | 2+1 |
| 4 | CS-457 | Internet of things | 2 | 1 | 2+1 |
| Total | 6 | 6 | 12 | ||
| Total Credit Hours | 129 |
| Total Lab Credit Hours | 29 |
| Total Theory Credit Hours | 100 |
LENGTH OF DEGREE PROGRAM
| Program | Duration (Minimum) | Duration (Maximum) |
| BS Data Science | 4 years | 7 years |
ELIGIBILITY CRITERIA
The criteria for students seeking admission to BS Data Science are as follows:
- 12 years of education with 45% marks or above in Matriculation or equivalent examination and Scored 45% marks or above in Intermediate or equivalent examination.
- Minimum score for eligibility is 50% in the ZU Admissions Test.
Note: Candidates who have completed 12 years of education and obtained degrees other than Matriculation (SSC) or Intermediate (HSSC) are required to obtain an equivalence certificate from the Inter Board Committee of Chairman (IBCC).
FEE STRUCTURE
| Tution fee/ credit | Exam fee / credit | No. of credit / sem | Tution fees | Exam fees | Sem registration fee | Activity fee / sem | Admission fee | Security Deposit | Transport | Semester fees |
| 7000 | 6 | 42000 | 0 | 15000 | 5000 | 62,000 |