INTRODUCTION

Why Data Science?

  • 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.

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

ELIGIBILITY CRITERIA

The application fees in non-refundable (in any case) and Applicants seeking admission MUST MEET THE ELIGIBILITY REQUIREMENTS set-forth by Ziauddin University.

Data Science

The minimum requirements for admission in bachelor degree program in Data Science is any of following:

  1. a) At least 50% marks in Intermediate (HSSC) examination with Mathematics or equivalent qualification with Mathematics, certified by IBCC.

 

OR

  1. b) At least 50% marks in Intermediate (HSSC) examination with Pre-Medical or equivalent qualification, certified by IBCC.

 

Deficiency:

“Students with pre-medical, must have to pass deficiency courses of Mathematics of 6 credit hours in first two semesters.”

FEE STRUCTURE

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