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 TimingsFacilities
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 TimingsFacilities
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 TimingsFacilities
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.

  • Sensor
  • Potentiometer
  • LCD 22″ with HDMI Port
  • Extension Board etc.

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. NoName Designation
1Dr. Muhammad Adeel ParvazAsst. Prof  Department of Psychiatry  Mount Sinai School of Medicine, New York
2Prof. Dr. Syed Abdul Rahman Al-AttasAssociate professor Faculty of Electrical Engineering Universiti Teknologi Malaysia (UTM)
3Dr.Moshin TiwanaNational University of Science and Technology (NUST), Islamabad
4Prof. Dr. Muhammad AsifChairperson Electrical Engineering (EE) ZUFEST
5Engr. Dr. Munaf RashidChairperson Software Engineering (SE) ZUFEST
6Dr. Sarmad ShamsChairperson Biomedical Engineering (BME) ZUFEST
7Prof. Dr. Ghulam Bashir PirzadaChairperson Civil Engineering (CV) ZUFEST
8Engr. Zubair Rao Assistant Professor Civil Engineering (CV) ZUFEST
9Engr.Lt.Col.(R)Muzaffar GhouseActing Director Land and Askari Colonies Management and Building Control.
10Engr. Rameez BilwaniPrincipal at Yaqoob and Rameez Associates Associates
11Engr.Hassan Farooq Janjua Industrial Expert (EE) maintenance, K Electric Karachi.Deputy General Manager, Instrumentation and control. K-Electric.
12Engr. Tariq AhmedDeputy Director Dow University Hospital
13Engr.Faraz AlamService Engineer BME Deptt.
14Engr. Sheikh Faisal  Sales Account Manager, Techaccess Pakistan
15Engr.Sidra Abid SyedAssistant 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:

  1. The chairperson of the teaching department concerned;
    • Dr. Shiekh Muhammad Munaf (Convener)
  1. 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
  1. Three University Teachers other than Professors;
    • Dr. Muhammad Sohail (Assistant Professor, ZU)
    • Mohsin Khan (Senior Lecturer, ZU)
    • Syed Muhammad Rafi (Lecturer, ZU)
  1. 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)
  1. Director QEC ZU or Nominee

SCHEME OF STUDIES

Semester — I

Sr.#Course CodeCourse TitleTh.LabCr. Hr
1 CS-107Introduction to Info. & Comm.

Technologies

212+1
2CS-104Programming Fundamentals313+1
3CS-103Discrete Structures  303+0
4NS-115Basic Mathematics60N/C
5NS-201Linear Algebra303+0
6HS-100English Composition &

Comprehension

303+0
7HS-103Pakistan Studies202+0
Total16218

Semester — II

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-112Object Oriented Programming 313+1
2CS-233Introduction to Database System313+1
3NS-109Calculus and Analytical Geometry   3   03+0
4NS-206Probability and Statistics303+0
5HS-114Communication & Presentation Skills303+0
Total15217

Semester — III

Sr.#Course CodeCourse TitleTh.LabCr .Hr
1CS-211Data Structures and Algorithms3 13+1
2CS-214Computer Org. & Assembly Language313+1
3CS-227Introduction to Data Science212+1
4EE-212Digital Logic Design3 13+1
5NS-112Differential Equations303+0
Total14418

Semester — IV

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-355Computer Communication and Networks313+1
2CS-351Automata  Theory and Formal Language (DS Elective-1)303+0
3CS-226Analysis of Algorithms303+0
4CS-213Artificial Intelligence313+1
5NS-211Advance Statistics303+0
Total15217

Semester — V

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-234Operating Systems313+1
2CS-336Data Mining212+1
3CS-331Data Warehousing & Business Intel.212+1
4CS-355Machine Learning (DS Elective-2)212+1
5  MS-306  Managerial Economics

(University Elective-1)

303+0
Total12416

Semester — VI

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1C-332Parallel & Distributed Computing212+1
2CS-456Big Data Analytics212+1
3CS-333Data Visualization212+1
4CS-352Digital Image Processing

(DS Elective 3)

303+0
5CS-454Cloud Computing

(DS Elective-4)

212+1
6MS-203Human Resource Management

(University Elective-3)

303+0
Total14418

Semester — VII

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1DS-451Final Year Project –I030+3
2CS-212Introduction to Software Engineering212+1
3MS-414Entrepreneurship and Leadership

(University Elective-2)

303+0
4HS-331Technical and Business Writing303+0
5HS-100

HS-102

 

Islamic Studies /

Ethical Behavior

2    02+0
Total10414

Semester — VIII

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1DS-451Final Year Project –II030+3
2HS-107Psychology

(University Elective-4)

303+0
3HS-401Professional Practices303+0
4CS-304Information Security303+0
Total9312
Total Credit Hours130
Total Lab Credit Hours25
Total Theory Credit Hours105

Visual Transcript

Continuous Quality Management (CQI) Procedure

  • Assessment Plan for PEOs
  • Assessment Plan for PLOs
  • Assessment Plan for PLOs

FEE STRUCTURE

Tution fee/ creditExam fee / creditNo. of  credit / semTution feesExam feesSem registration feeActivity fee / semAdmission feeSecurity Deposit Semester fees
3500500186300090005000200010000500094,000