Why 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.
Facilities/ Resources
Location:
- Address: North Campus (ZUFESTM), F-103, Block B, North Nazimabad,
- Karachi.
- Covered Areas (sq ft): 18000 sq ft (2000 sq yards) (Zufestm Area)
- Covered Areas (sq ft): 180 sq ft (SE Department Area)
- Building/Land Ownership, lease terms etc.
- Own Building
Dedicated Lecture Rooms / Shared Lecture Room
- Adequacy of class rooms/lecture halls and allied facilities
- Average Size of each lecture rooms:
350 square feet
- Space Available for students:
30 square feet
- Instructional Facilities provided in lecture rooms:
White Board, Multimedia, Speaker system, Computer, Internet etc.
- Other facilities:
ACs
Laboratories
1) Computing Lab
| Lab Timings | Facilities |
| Weekdays (8:30am─4:30pm) | 32 workstations (core i3, core i5 3rd and 6th generations) installed with high end software. All workstations are connected with internet via LAN/Wi-Fi Access. Scanner and Printing Facility, white board and multimedia. Lab Space: 40 sq.ft per student |
- Operating System Lab
| Lab Timings | Facilities |
| Weekdays (8:30am─4:30pm) | 05 workstations (Core i3, Core i5 3rd and 6th generations) installed with high end software. All workstations are connected with internet via LAN/Wi-Fi Access. Printing Facility is also available. Lab Space: 40 sq.ft per student |
- Final year Project Lab
| Lab Timings | Facilities |
| Weekdays (8:30am─4:30pm) | 03 workstations (Core i3, Core i5 3rd and 6th generations) installed with high end software. All workstations are connected with internet via LAN/Wi-Fi Access. Printing Facility is also available.
|
Career Prospects
- 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.
- Data Science graduated will also be able to engage in start-up businesses pertaining to cloud services and data mining & management technologies.
Strength of Faculty Members (a short introduction that highlights their strengths/experience)
Dr. Sheikh Munaf Rashid
Associate Professor
Chairperson Software Engineering Department
Director Post Graduate Program (ZUFESTM)
PhD (Computer Vision and Machine Learning)
University of Technology Malaysia
Mohsin Khan
Senior Lecturer
ME (Computer System Engineering)
NED University of Engineering and Technology
Syed Muhammad Rafi
Lecturer
MS (Computer Science)
Federal Urdu University of Arts Science Technology
Abdul Salam
Lecturer
MS (Computer Science)
Federal Urdu University of Arts Science Technology
Nouman Samad
Lab Lecturer
MS (Computer Science)
Hamdard University
Advisory Committee
Industrial Advisory Board Members
| S. No | Name | Designation |
| 1 | Dr. Muhammad Adeel Parvaz | Asst. Prof Department of Psychiatry Mount Sinai School of Medicine, New York |
| 2 | Prof. Dr. Syed Abdul Rahman Al-Attas | Associate professor Faculty of Electrical Engineering Universiti Teknologi Malaysia (UTM) |
| 3 | Dr.Moshin Tiwana | National University of Science and Technology (NUST), Islamabad |
| 4 | Prof. Dr. Muhammad Asif | Chairperson Electrical Engineering (EE) ZUFEST |
| 5 | Engr. Dr. Munaf Rashid | Chairperson Software Engineering (SE) ZUFEST |
| 6 | Dr. Sarmad Shams | Chairperson Biomedical Engineering (BME) ZUFEST |
| 7 | Prof. Dr. Ghulam Bashir Pirzada | Chairperson Civil Engineering (CV) ZUFEST |
| 8 | Engr. Zubair Rao | Assistant Professor Civil Engineering (CV) ZUFEST |
| 9 | Engr.Lt.Col.(R)Muzaffar Ghouse | Acting Director Land and Askari Colonies Management and Building Control. |
| 10 | Engr. Rameez Bilwani | Principal at Yaqoob and Rameez Associates Associates |
| 11 | Engr.Hassan Farooq Janjua Industrial Expert (EE) maintenance, K Electric Karachi. | Deputy General Manager, Instrumentation and control. K-Electric. |
| 12 | Engr. Tariq Ahmed | Deputy Director Dow University Hospital |
| 13 | Engr.Faraz Alam | Service Engineer BME Deptt. |
| 14 | Engr. Sheikh Faisal | Sales Account Manager, Techaccess Pakistan |
| 15 | Engr.Sidra Abid Syed | Assistant Professor, BME |
Board of Studies Members
NOTIFICATION
It is hereby notified for information to all concerned that Board of Studies, Department of Software Engineering consists of following members:
- The chairperson of the teaching department concerned;
- Dr. Shiekh Muhammad Munaf (Convener)
- Experts from Academia;
- Dr. Aqeel ur Rehman (Professor & Dean, Faculty of Computer Science and Humanities, Sir Syed University of Engineering and Technology, Karachi)
- Dr. Muhammad Khalid Khan (Professor, Director College of Computing & Information Sciences, PAF KIET, Karachi)
- Saleem Ahmed (Associate Professor and Chairperson, Computer Engineering Department, Dawood University of Engineering and Technology, Karachi
- Three University Teachers other than Professors;
- Dr. Muhammad Sohail (Assistant Professor, ZU)
- Mohsin Khan (Senior Lecturer, ZU)
- Syed Muhammad Rafi (Lecturer, ZU)
- Three Experts, other than University Teachers;
- Shaikh Faisal (Key Account Manager, IBL-Unisys, Karachi)
- Abdul Basit (Project Manager, VentureDive, Karachi)
- Saad Abbasi (Senior Software Engineering, LucidSpring, Karachi)
- Director QEC ZU or Nominee
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 | CS-103 | Discrete Structures | 3 | 0 | 3+0 |
| 4 | NS-115 | Basic Mathematics | 6 | 0 | N/C |
| 5 | NS-201 | Linear Algebra | 3 | 0 | 3+0 |
| 6 | HS-100 | English Composition & Comprehension | 3 | 0 | 3+0 |
| 7 | HS-103 | Pakistan Studies | 2 | 0 | 2+0 |
| Total | 16 | 2 | 18 | ||
Semester — II
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-112 | Object Oriented Programming | 3 | 1 | 3+1 |
| 2 | CS-233 | Introduction to Database System | 3 | 1 | 3+1 |
| 3 | NS-109 | Calculus and Analytical Geometry | 3 | 0 | 3+0 |
| 4 | NS-206 | Probability and Statistics | 3 | 0 | 3+0 |
| 5 | HS-114 | Communication & Presentation Skills | 3 | 0 | 3+0 |
| Total | 15 | 2 | 17 | ||
Semester — III
| Sr.# | Course Code | Course Title | Th. | Lab | Cr .Hr |
| 1 | CS-211 | Data Structures and Algorithms | 3 | 1 | 3+1 |
| 2 | CS-214 | Computer Org. & Assembly Language | 3 | 1 | 3+1 |
| 3 | CS-227 | Introduction to Data Science | 2 | 1 | 2+1 |
| 4 | EE-212 | Digital Logic Design | 3 | 1 | 3+1 |
| 5 | NS-112 | Differential Equations | 3 | 0 | 3+0 |
| Total | 14 | 4 | 18 | ||
Semester — IV
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-355 | Computer Communication and Networks | 3 | 1 | 3+1 |
| 2 | CS-351 | Automata Theory and Formal Language (DS Elective-1) | 3 | 0 | 3+0 |
| 3 | CS-226 | Analysis of Algorithms | 3 | 0 | 3+0 |
| 4 | CS-213 | Artificial Intelligence | 3 | 1 | 3+1 |
| 5 | NS-211 | Advance Statistics | 3 | 0 | 3+0 |
| Total | 15 | 2 | 17 | ||
Semester — V
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | CS-234 | Operating Systems | 3 | 1 | 3+1 |
| 2 | CS-336 | Data Mining | 2 | 1 | 2+1 |
| 3 | CS-331 | Data Warehousing & Business Intel. | 2 | 1 | 2+1 |
| 4 | CS-355 | Machine Learning (DS Elective-2) | 2 | 1 | 2+1 |
| 5 | MS-306 | Managerial Economics (University Elective-1) | 3 | 0 | 3+0 |
| Total | 12 | 4 | 16 | ||
Semester — VI
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | C-332 | Parallel & Distributed Computing | 2 | 1 | 2+1 |
| 2 | CS-456 | Big Data Analytics | 2 | 1 | 2+1 |
| 3 | CS-333 | Data Visualization | 2 | 1 | 2+1 |
| 4 | CS-352 | Digital Image Processing (DS Elective 3) | 3 | 0 | 3+0 |
| 5 | CS-454 | Cloud Computing (DS Elective-4) | 2 | 1 | 2+1 |
| 6 | MS-203 | Human Resource Management (University Elective-3) | 3 | 0 | 3+0 |
| Total | 14 | 4 | 18 | ||
Semester — VII
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | DS-451 | Final Year Project –I | 0 | 3 | 0+3 |
| 2 | CS-212 | Introduction to Software Engineering | 2 | 1 | 2+1 |
| 3 | MS-414 | Entrepreneurship and Leadership (University Elective-2) | 3 | 0 | 3+0 |
| 4 | HS-331 | Technical and Business Writing | 3 | 0 | 3+0 |
| 5 | HS-100 HS-102
| Islamic Studies / Ethical Behavior | 2 | 0 | 2+0 |
| Total | 10 | 4 | 14 | ||
Semester — VIII
| Sr.# | Course Code | Course Title | Th. | Lab | Cr.Hr |
| 1 | DS-451 | Final Year Project –II | 0 | 3 | 0+3 |
| 2 | HS-107 | Psychology (University Elective-4) | 3 | 0 | 3+0 |
| 3 | HS-401 | Professional Practices | 3 | 0 | 3+0 |
| 4 | CS-304 | Information Security | 3 | 0 | 3+0 |
| Total | 9 | 3 | 12 | ||
| Total Credit Hours | 130 |
| Total Lab Credit Hours | 25 |
| Total Theory Credit Hours | 105 |
Visual Transcript
Continuous Quality Management (CQI) Procedure
- Assessment Plan for PEOs
- Assessment Plan for PLOs
- Assessment Plan for PLOs
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 | Semester fees |
| 3500 | 500 | 18 | 63000 | 9000 | 5000 | 2000 | 10000 | 5000 | 94,000 |