Ziauddin University

BS Cyber Security Technology

Digital world has evolved into a stage for creativity and a front line for cyber-attacks in a time when technology is moving forward at an unrelenting pace. We find ourselves in a never-ending struggle to safeguard the very foundations upon which our contemporary society is founded — our data, our privacy, and our vital infrastructure – even as we embrace the digital age with open arms. The ground-breaking field of BS Cyber Security Technology is positioned to influence how cybersecurity will develop in the future. It is born within this dynamic environment.

Imagine living in a future where our linked systems are resilient to even the most advanced attacks, where our private information is protected from prying eyes, and where our digital lives are unaffected by the continuous onslaught of cybercriminals. This vision is headed by the BS in Cyber Security Technology program, which equips a new generation of cyber guardians with the knowledge and abilities necessary to defend, create, and lead in the digital age.

We explore the deep workings of cybersecurity in this thrilling voyage, where algorithms and artificial intelligence collide with moral conundrums and legal frameworks. To address the human aspects of cybersecurity, we not only go into the depths of cryptography, penetration testing, and incident response, but also into the spheres of psychology, ethics, and policy. This is more than simply a program; it represents a fundamental shift in how we view and protect our digital environment.

We cordially invite you to join us on this transformative journey, where innovation meets security, code meets conscience, and the future meets the present. The goal of the BS Cyber Security Technology program is to create a safer, more robust digital world for future generations, not only to prepare for the issues of the future. Join us in redefining cybersecurity’s laws and lead the BS Cyber Security Technology revolution.

Programme Learning Outcomes (PLOs)

PLO 1: Engineering Technology Knowledge: An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals, and Engineering Technology specialization to defined and applied Engineering Technology procedures, processes, systems, or methodologies.

PLO 2: Problem Analysis: An ability to Identify, formulate, research literature, and analyze broadly defined Engineering Technology problems reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.

PLO 3: Design/Development of Solutions: An ability to design solutions for broadly- defined Engineering Technology problems and contribute to the design of systems, components or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PLO 4: Investigation: An ability to conduct investigations of broadly-defined problems; locate, search and select relevant data from codes, databases, and literature; and design and conduct experiments to provide valid conclusions.

PLO 5: Modern Tool Usage: An ability to Select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modeling, to broadly-defined Engineering Technology problems, with an understanding of the limitations.

PLO 6: The Engineering Technologist and Society: An ability to demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to Engineering Technology practice and solutions to broadly defined Engineering Technology problems.

PLO 7: Environment and Sustainability: An ability to understand and evaluate the sustainability and impact of Engineering Technology work in the solution of broadly defined Engineering Technology problems in societal and environmental contexts.

PLO 8: Ethics: Understand and commit to professional ethics and responsibilities, and norms of Engineering Technology practice.

PLO 9: Individual and Teamwork: An ability to Function effectively as an individual and as a member or leader in diverse teams.

PLO 10: Communication: An ability to communicate effectively on broadly defined Engineering Technology activities with the Engineering Technologist community and with society at large by being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PLO 11: Project Management: An ability to demonstrate knowledge and understanding of Engineering Technology management principles and apply these to one’s work as a member or leader in a team and to manage projects in multidisciplinary environments.

PLO 12: Lifelong Learning: An ability to recognize the need for and have the ability to engage in independent and lifelong learning in specialist Engineering Technologies.

Programme Educational Objectives (PEO)

PEO 1: Graduates will be effective cybersecurity practitioners with the ability to assess and manage security risks, implement protective measures, and respond to security incidents in a variety of computing environments.

PEO 2: Graduates will demonstrate proficiency in identifying and solving complex cybersecurity challenges, adapting to emerging threats, and contributing to innovative security solutions within the rapidly evolving field of cybersecurity.

PEO 3: Graduates will excel in both written and oral communication, as well as teamwork, enabling them to convey technical information clearly, work effectively in interdisciplinary teams, and engage with diverse stakeholders.

PEO 4: Graduates will uphold the highest ethical standards in cybersecurity practice, considering the ethical, legal, and social implications of their work, and demonstrating a commitment to responsible and socially responsible cybersecurity.

Mission

“To prepare students for careers in the ever-evolving field of cybersecurity by providing a comprehensive and forward-thinking education. We are committed to fostering a community of learners who are dedicated to safeguarding digital assets, protecting privacy, and mitigating cyber threats. Cultivate ethical and responsible cybersecurity professionals who understand the importance of upholding privacy, integrity, and confidentiality in an interconnected world. Instill a commitment to continuous learning, ensuring that our graduates remain at the forefront of cybersecurity practices and are capable of addressing the challenges of the future.”

Why BS Cyber Security Technology

Cybersecurity technologists play a crucial role in protecting organizations, individuals, and society as a whole from a wide range of digital threats and attacks. Here are several reasons why choosing a career as a cybersecurity technologist is a valuable and important choice. Increasing Cyber Threats: With the growth of the digital world, cyber threats have become more sophisticated and pervasive. Cyberattacks can lead to data breaches, financial losses, reputation damage, and even national security risks. Cybersecurity technologists are needed to defend against these threats. Protecting Data and Privacy: In today’s digital age, sensitive information and personal data are stored and transmitted online. Cybersecurity professionals work to safeguard this data and protect the privacy of individuals and organizations. The demand for cybersecurity professionals is consistently high and is expected to grow in the coming years. This means a strong job market with many opportunities for career growth and development.

The eligibility/admission criteria for admission in BSc (Cyber Security Technology) program is strictly as defined in NTC’s Accreditation Manual, Clause 3.2.4.1.

The primary requirements for eligibility/admission are:

  1. Intermediate with Pre-engineering or other equivalent qualifications such as DAE/A-level/ICS/B.Sc. (sports and Hafiz-e-Quran marks are not included) and
  2. Entrance Test
  3. Weightage:
    1. 70% for academics (DAE/FSC etc.)
    2. 30% for Entrance Test
SEMESTER I
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CS-107TIntroduction to Info. & Comm. Technologies (Theory) (Computing-I)101+2 
2CS-107LIntroduction to Info. & Comm. Technologies (Lab) (Computing-I)02 
2CS-104TProgramming Fundamentals (Theory) (Computing-II)202+2 
3CS-104LProgramming Fundamentals (Lab) (Computing-II)02 
4NS-109Calculus And Analytical Geometry (Natural Sciences-I)303+0 
5NS-106TApplied Physics (Theory) (Natural Sciences-II)202+1 
6NS-106LApplied Physics (Lab) (Natural Sciences-II)01 
7HS-100English Composition & Comprehension (Humanities and Social Sciences-I)202+0 
8HS-101Islamic Studies/Ethical Behavior (Humanities and Social Sciences-II)202+0 
HS-102
Total12517 
       
SEMESTER II
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CS-112TObject Oriented Programming (Theory)202+2Programming Fundamentals (Theory and Lab)
(Cyber Security) Foundation-I
1CS-112LObject Oriented Programming (Lab)02
(Cyber Security) Foundation-I
2EE-100TDigital Logic Design (Theory)202+1 
(Cyber Security) Foundation-II
3EE-100LDigital Logic Design (Lab)01 
(Cyber Security) Foundation-II
4HS-103Pakistan Studies 202+0 
(Humanities and Social Sciences-III)
5HS-114Communication and Presentation Skills303+0English Composition & Comprehension
(Humanities and Social Sciences-IV)
6NS-110Linear Algebra (Natural Sciences-III)202+0Calculus and Analytical Geometry
7CS-102TWeb Engineering (Theory)101+2 
(Cyber Security) Foundation-III
8CS-102LWeb Engineering (Lab)02 
(Cyber Security) Foundation-III
Total12517 
       
SEMESTER III
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CS-211TData Structures and Algorithms (Theory)202+1Programming Fundamentals (Theory and Lab)
(Cyber Security) Foundation-IV
2CS-211LData Structures and Algorithms (Lab)01
(Cyber Security) Foundation-IV
3CS-203TComputer Communication Networks (Theory)202+2 
(Cyber Security) Foundation-V
4CS-203LComputer Communication Networks (Lab)02 
(Cyber Security) Foundation-V
5HS-231Technical and Business Writing (Humanities and Social Sciences-V)202+0Communication & Presentation Skills
6CB-231TIntroduction to Cyber Security (Theory)202+1 
(Cyber Security) Breadth-II
7CB-231LIntroduction to Cyber Security (Lab) (Cyber Security) Breadth-II01 
8NS-206Probability and Statistics303+0 
(Natural Sciences-IV)
9CS-213TIntroduction to Database System (Theory)202+1Data Structures & Algorithms (Theory and Lab)
(Cyber Security) Foundation-V
10CS-213LIntroduction to Database System (Lab) (Cyber Security) Foundation-V01
Total13518 
       
SEMESTER IV
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CS-234TOperating Systems (Theory)202+1Data Structures & Algorithms (Theory and Lab)
(Cyber Security) Breadth -III
2CS-234LOperating Systems (Lab)01
(Cyber Security) Breadth -III
3CS-214TComputer Organization & Assembly Language (Theory)202+1Digital Logic Design (Theory and Lab)
4CS-214LComputer Organization & Assembly Language (Lab)01
5CS-235TArtificial Intelligence (Theory)101+1Object Oriented Programming (Theory and Lab)
(Cyber Security) Breadth -V
6CS-235LArtificial Intelligence (Lab)01
(Cyber Security) Breadth -V
7CB-232TSystems And Network Administration (Theory) 101+2Computer Communication Networks (Theory & Lab)
(Cyber Security) Breadth -IV
8CB-232LSystems And Network Administration (Lab) 02
(Cyber Security) Breadth -IV
9CS-215TInformation Security (Theory)202+1Computer Communication Networks (Theory & Lab)
(Cyber Security) Foundation-VI
10CS-215LInformation Security (Lab)01
(Cyber Security) Foundation-VI
11HS-207Psychology (University Elective-1)303+0 
Total11617 
       
SEMESTER V
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1MS-303Human Resource Management (University Elective-II)303+0 
2CS-355TMachine Learning (Theory)102+1Artificial Intelligence (Theory & Lab)
(Depth Elective-1)
3CS-355LMachine Learning (Lab)02
(Depth Elective-1)
4CS-351TBlock Chain Technology and Application (Theory)202+2 
(Depth Elective-II)
5CS-351LBlock Chain Technology and Application (Lab)02
(Depth Elective-II)
6HS-304Professional Practices202+0 
 (Humanities and Social Sciences-VI)
7MS-304Entrepreneurship and Leadership (Management Elective-1)303+0 
Total11415 
       
SEMESTER VI
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CB-361Final Year Project-I030+3 
2MS-300Information Technology Project Management (Management Elective-II)202+0 
3CB-352TError Correction and Coding Techniques (Theory)101+1Object Oriented Programming (Theory and Lab)
(Depth Elective-III)
4CB-352LError Correction and Coding Techniques (Lab) 01
(Depth Elective-III)
5CB-331TIncident Response and Digital Forensics (Theory) 202+1Information Security (Theory & Lab)
(Information Security) Breadth -VI
6CB-331LIncident Response and Digital Forensics (Lab)01
(Information Security) Breadth -VI
7CB-353TIT Security Audit and Evaluation (Lab) (Cyber Security) Depth –IV202+1Information Security (Theory & Lab)
8CB-353LIT Security Audit and Evaluation (Lab) (Cyber Security) Depth –IV01
9BM-300TBioinformatics (Theory) (IDTE-I)101+1 
10BM-300LBioinformatics (Lab) (IDTE-I)01
Total8715 
       
SEMESTER VII
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CB-462Final Year Project-II030+3 
2NS-401Health, Safety and the Environment101+0 
(Humanities and Social Sciences-VII)
3CB-451TCryptography (Theory)202+1 
(Depth Elective-IV)
4CB-451LCryptography (Lab)01
(Depth Elective-IV)
5CB-452TCloud Computing and IoT (Theory)202+1 
(Depth Elective-V)
6CB-452LCloud Computing and IoT (Lab)01
(Depth Elective-V)
7CB-457TEthical Hacking and Penetration Testing (Theory)202+1Information Security (Theory & Lab)
(Cyber Security Depth – VII)
8CB-457LEthical Hacking and Penetration Testing (Lab)01
(Cyber Security Depth – VII)
9EE-464Renewable Energy (IDTE-II)202+0 
Total9615 
       
SEMESTER VIII
S. No.Course CodeCourse TitleTh.LabCr. Hr.Pre-requisite
1CB-464Supervise Industrial Training (Compulsory)0160+16 
Total01616 

Total Credit Hours = 130
Total Lab Credit Hours=54 (41.54)
Total Theory Credit Hours = 76 (58.46)

Admission Fee15,000
Security Deposit(refundable)5,000
Total at the time of admission20,000
Per Month Fees 04 Years 8,500

The career prospects for individuals with a background in cybersecurity technology are quite promising due to the increasing importance of cybersecurity in virtually every industry. Here are some career paths and opportunities for those with expertise in cybersecurity technology:

  1. Cybersecurity Analyst:

Analyzing security data and implementing measures to protect an organization’s systems and networks from cyber threats.

  1. Penetration Tester/Ethical Hacker:

Identifying vulnerabilities in systems and networks by simulating cyberattacks to help organizations improve their security posture.

  1. Security Consultant:

Advising organizations on cybersecurity best practices, conducting risk assessments, and developing security strategies tailored to their specific needs.

  1. Security Architect:

Designing and implementing secure systems and networks, including infrastructure, applications, and cloud environments.

  1. Incident Responder:

Investigating security breaches and responding to cyber incidents to minimize damage and prevent future occurrences.

  1. Security Engineer:

Building and maintaining security systems, including firewalls, encryption protocols, and intrusion detection/prevention systems.

  1. Cryptographer:

Developing cryptographic algorithms and protocols to secure data transmission and storage.

  1. Security Operations Center (SOC) Analyst:

Monitoring and analyzing security events and incidents in real-time to detect and respond to threats.

  1. Threat Intelligence Analyst:

Gathering and analyzing threat intelligence to identify emerging cyber threats and vulnerabilities.

  1. Forensic Analyst:

Collecting and analyzing digital evidence to investigate cybercrimes and support legal proceedings.

These are just a few examples, and the field of cybersecurity offers a wide range of career paths and opportunities for growth. With the increasing frequency and sophistication of cyber threats, the demand for cybersecurity professionals is expected to continue growing, making it a promising career choice for individuals with the right skills and expertise.

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

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

Computing Lab

        Lab TimingsFacilities

Weekdays 

(8:30am─4:30pm)

32 workstations 

(core i3, core i5  

3and (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
Career Prospectus
  • 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 (1st Semester)
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
Scheme of Studies (2nd Semester)
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
 
Scheme of Studies (3rd Semester)
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
Scheme of Studies (4th Semester)
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
Scheme of Studies (5th Semester)
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
 
Scheme of Studies (6th Semester)
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
Scheme of Studies (7th Semester)
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
 
Scheme of Studies (8th Semester)
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
  • At least 50% marks in Intermediate (HSSC) examination with Mathematics or equivalent qualification with Mathematics, certified by IBCC. OR At least 50% marks in Intermediate (HSSC) examination with a pre-medical or equivalent qualification, certified by IBCC.
  • Deficiency: Students with pre-medical must have to pass deficiency courses of Mathematics of 06 credit hours in first two semesters.
Fee Strcuture
Tution fee/ credit Exam fee / credit No. of  credit / sem Tution fees Exam fees
3500 500 18 63000 9000
Semester registration fee Activity fee / semester Semester Fee
5000 2000 79000
** 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)
Fee Structure of Semester
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/=