BS Data Science

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.”

FEES STRUCTURE

Tution fee/ creditExam fee / creditNo. of  credit / semTution feesExam feesSemester registration feeActivity fee / semesterSemester Fee
3500500186300090005000200079000

 

** Tuition Fee and Exam Fee is calculated with Credit hours and will be changed in different Semesters

(e.g: Tuition Fee = 3500 x 18 = 63000 and Exam Fee = 500 x 18 = 9000)

 

 

Semester FeeAdmission fee (One time Only)Security Deposit

(One time Only and Refundable)

 Total 1st Semester fee
7900010000500094,000

 

 

BS (Data Science-Evening) – Fee Structure For New Admission

 

 BS (Data Science) –  Evening Fee Structure Total Fee (pkr)
 Admission Fee (One Time Only) 15,000
 Security Deposit (One Time Only and Refundable) 5,000
 Monthly (payable each month for the duration of studies) 8500
 Total  28,500/=

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.

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.

 

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
  • 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.

Semester — I

Sr.#Course CodeCourse TitleTh.LabCr. Hr
1 CS-107Introduction to Info. & Comm. Technologies212+1
2CS-104Programming Fundamentals313+1
3CS-103Discrete Structures  303+0
4NS-115Basic Mathematics60N/C
5NS-201Linear Algebra303+0
6HS-100English Composition & Comprehension303+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