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Programs & Course Outline

The degree programmes at ITU aim to impart a research-oriented and design-centred computer science and technical education to students, and thus produce innovators and IT specialists who can transform the IT landscape of Pakistan. The programmes at ITU combine rigorous coursework with exciting research opportunities based on real-world problems and industrial collaborations, thus ensuring a broad-based education which can lead to numerous diverse career paths. Courses are designed and taught by ITU’s world class faculty and research is conducted in collaboration with ITU’s numerous research centers.

  • BS (Computer Science)
  • MS (Computer Science)

Information Technology University is home to some of the most venerated academic programs in the world, having established the fields of technology, the first technology research oriented university in Pakistan.

Program Educational Objectives (PEOs)

The BS Computer Science program aims to produce graduates:

  1. Who have the ability to design, implement, and analyze computational systems and algorithms
  2. Are well-equipped with the theoretical concepts of computing 
  3. Are capable of tackling of complex computer science related problems in the real world

Graduate Attributes

To adopt the Outcome Based Education (OBE) quality assurance process, the Department of Computer Science has adopted the Graduate Attributes presented in the Table below:

Graduate Attribute (GA)

Description

GA-1 Academic Education

Completion of an accredited program of study designed to prepare graduates as computing professionals.

GA-2 Knowledge for Solving Computing Problems

Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization for the abstraction and conceptualization of computing models from defined problems and requirements.

GA-3 Problem Analysis

Identify and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

GA-4 Design/Development of Solutions

Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs.

GA-5 Modern Tool Usage

Create, select, or adapt and then apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

GA-6 Individual and Teamwork

Function effectively as an individual and as a member or leader of a team in multidisciplinary settings.

GA-7 Communication

Communicate effectively with the computing community about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

GA-8 Computing Professionalism and Society

Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

GA-9 Ethics

Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

GA-10 Life-long Learning

Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Degree Structure

  Category Credit Hours Cumulative Credit Hours
1. Computing Courses 52
Core Courses 40
Supporting Areas Courses 12
2. Computer Science Courses
Computer Science Core Courses 21 48
Computer Science Supporting Courses 9
Computer Science Electives 18
3. General Education Courses 18 18
4. University Elective Courses  12 12
  Total Credit Hours 130

The Road Map of BS Program is as follows:

Semester I Freshman (Year – I)
Sr. # Code Course Title Lec Lab CH Pre-Req.
1  HU100 Communication Skills I 3 0 3
2  MT111 Calculus and Analytic Geometry 3 0 3
3  HU160 Islamiat Studies 3 0 3
4  CH110 Industrial Chemistry 3 0 3
5  EE110 Electronics Workbench 1 0 1
6  CS101 Computing Fundamentals and Programming 3 1 4
Total 16 1 17  
Semester II
Sr. # Code Course Title Lec Lab CH Pre-Req.
7  HU110 Communication Skills II 3 0 3
8  MT121 Linear Algebra 3 0 3
9  PH121 Electricity and Magnatism 3 0 3
10  CS152 Object Oriented Programming 3 1 4
11  EE121 Linear Circuit Analysis 3 1 4
Total 15 2 17
First Year Credit Hours 31 3 34  
Semester III Sophomor (Year – II)
Sr. # Code Course Title Lec Lab CH Pre-Req.
12  HU150 Pakistan Studies 3 0 3
13  MT232 Differential Equations 3 0 3
14  CS231 Digital Logic Design 3 1 4
15  CS243 Data Structures and Algorithms 3 0 3
16  CS231 Discrete Structures 3 0 3
17  PH110 Mechanics 3 0 3
Total 18 1 19
Semester IV
18  SS150 Science and Civilization 3 0 3
19  MT242 Multivariate Calculus and Complex Variable & Transform 3 0 3
20  CS286 Microprocessor & Assembly Language 3 1 4
21  CS264 Design and Analysis of Alogorithms 3 0 3
22  CS254 Database Systems 3 1 4
Total 15 2 17
Second Year Credit Hours 33 3 35
Semester V Junior (Year – III)
Sr. # Code Course Title Lec Lab CH Pre-Req.
23  SS100 Economics 3 0 3
24  CS354 Probability & Statistics 3 0 3
25  CS386 Computer Architecture and Organization 3 0 3
26  CS344 Operating Systems 3 1 4
27  CS331 Artificial Intelligence 3 0 3
Total 15 1 16
Semester VI
Sr. # Code Course Title Lec Lab CH Pre-Req.
28  CSxxx Computer Science Elective (CG) 3 0 3
29  CS321 D-Lab 3 0 3
30  CSxxx Computer Science Elective 3 0 3
31  CS375 Theory of Automata and Formal Languages 3 0 3
32  CS365 Data Communication and Networks 3 1 4
Total 15 1 16  
Third Year  Credit Hours 30 2 32  
Semester VII Senior (Year – IV)
Sr. # Code Course Title Lec Lab CH Pre-Req.
33  MG150 Entreprenuership 3 0 3
34  MT433 Numerical Computing/ Methods 3 0 3
35  CS453 Software Engineering 3 0 3
36  CS426 Compiler Construction 3 0 3
37  CS491 Final Year Project (I) 3 0 3
38  SSxxx Philosphy/Enthropology/ Psychology 3 0 3
Total 18 0 18
Semester VIII
Sr. # Code Course Title Lec Lab CH Pre-Req.
39  SS200 Techincal Report Writing 3 0 3
40  CSxxx Computer Science Elective 3 0 3
41  CS471 HCI 3 0 3
42  CS446 Information Security 3 0 3
43  CS492 Final Year Project (II) 3 0 3
Total 15 0 15  
    Fourth Year  Credit Hours 33 0 33  
    Total Program Credit Hours 127 9 135

ITU’s MS Computer Science degree is centred around the need for computer scientists to master the theoretical foundations of the field and be able to apply and integrate them with other technologies. Our degree also has a great focus on research and innovation designed to grapple with locally relevant problems.
Minimum Credit Hours required for graduating:

Credit Hours
Core 6
Electives 18 or more
Thesis 6

Core Courses:

The core courses that all students must take in order to complete their MS degree are as follows:

  • Advanced Theory of Computation
  • Advanced Analysis of Algorithms

Electives

Currently the Electives being offered are as follows. This list is being added on by the university

  • CS 511 D-LAB I
  • CS 512 D-LAB II
  • CS 505 Advanced Computer Architecture
  • CS501 Advanced Operating System
  • MG515 Entrepreneurship
  • CS545 Advanced Computer Networks
  • CS520 Advanced Programming
  • CS525 Computer Vision
  • CS550 High Performance Computing
  • CS515 DLAB / Technology for Development
  • CSxxx Advance Topics in Computer Vision
  • CS530 Educational Games Design & Development
  • CS535 Data Mining
  • CS540 Internet of Things
  • CS555 Advance Topics in Internet of Things
  • CS541 Software Engineering
  • CS536 Data Science
  • CS690 Thesis I
  • CS695 Thesis II

The roadmap of MS Program is as follows:

Semester I                                               
Sr. # Code Course Title Lec Lab CH
1 CS501 Advanced Operating System 3 0 3
2 CSxxx CS Elective I 3 0 3
3 CSxxx University Elective I 3 0 3
Total 9 1 9
Semester II
Sr. # Code Course Title Lec Lab CH
4 CS505 Advanced Computer Architecture 3 0 3
5 CSxxx CS Elective II 3 0 3
6 MG515 Entrepreneurship 3 0 3
Total 9 0 9
First Year Credit Hours 18 0 18
Semester III                                            
Sr. # Code Course Title Lec Lab CH
7 CS507 Advanced Theory of Computation (Core) 3 0 3
8 CS690 Thesis I 3 0 3
Total 6 0 6
Semester IV
10 CS509 Advanced Algorithms Analysis (Core) 3 0 3
12 CS695 Thesis II 3 0 3
Total 6 0 6
Second Year Credit Hours 12 0 12
Total Degree Credit Hours 30 0 30