
B.E (Software Engineering)
BE Software Engineering is a 4-year degree that develops in you solid technical expertise in power engineering, control systems, electronics, signal & image processing, electronics, and engineering management. The curriculum caters to the needs of the 21st century and provides you with hands-on experience to prepare you for real-world applications.
Our highly-experienced faculty will teach you how to be innovative, creative, and flexible in creating state-of-the-art engineering solutions by combining analytical, computational, numerical, and technical tools in a systematic way.
Accredited by Pakistan Engineering Council (PEC) and aligned with Washington Accord, our BE Software Engineering is recognized both nationally and internationally for its quality and relevance.
Our main areas of interest are Communication & Sensors, Power Electronics & Renewable Energy Systems, Signal & Image Processing, Embedded System Design, Power Systems, Industrial Control & Automation, & Embedded System Design.
What opportunities might BE Software Engineering lead to?
Software engineers design, develop and maintain electrical control systems and components in the following sectors:
- Transport
- Construction
- Power Generation
- Manufacturing
- Communications
- Defense
- Aerospace
- Automative
Why BE Software Engineering with us?
Accreditation from Pakistan Engineering Council means that we equip our graduates with the skill set that is required by industry and professionals. Besides quality education, we have built an environment that develops strong problem-solving, communication, and teamwork skills that are required to excel as a person and professional.
Career Prospects
The engineering profession offers excellent career prospects, with diverse opportunities available in various sectors. Engineers are highly sought after in industries such as construction, manufacturing, energy, telecommunications, transportation, technology and even teaching as a lecturer or professor.
One of the significant advantages of an engineering profession is the high demand for engineering skills, which translates into a stable and rewarding career path. Engineers can expect to earn competitive salaries and have opportunities for career advancement and professional growth.
Additionally, engineering is a field that requires innovation and creativity, with engineers often tasked with developing new technologies and solutions to complex problems. This can be incredibly fulfilling for those who enjoy problem-solving and making a tangible impact in the world.
The engineering profession also offers flexibility in terms of career paths, with opportunities available in areas such as research and development, management, consulting, teaching, and entrepreneurship. With such a broad range of options, engineers can find a career path that aligns with their interests and strengths.
After completion of an engineering degree, there are various paths to choose from. One can opt to pursue further education or land a job, given the plentiful opportunities available.
Some of the best courses to consider are software development, machine learning, blockchain management, data science, MBA, and digital marketing. These courses are designed to meet global standards and provide students with specialized knowledge in their field of interest.
Overall, the engineering profession is an excellent choice for those who have a passion for problem-solving, innovation, and making a positive impact in the world.
Program Educational Objectives (PEOs)
The graduates of the program of Bachelors of Computer Systems Engineering will be equipped with skills to demonstrate an understanding of key technologies applicable within the main areas of Computer Systems Engineering. The main objectives of this program are:
PEO-1 | Serve competently in national and international industry or academia by showing requisite knowledge and skills in the field of Computer Engineering. |
PEO-2 | Exhibit quest for learning and initiatives by continuously broadening their abilities and enhancing their technical skills to maintain their relevance with technological change. |
PEO-3 | Demonstrate commitment to ethical practices, community service and societal contribution. |
Program Learning Outcomes (PLOs)
PLO-1 | Engineering Knowledge: |
Ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems. |
PLO-2 | Problem Analysis: |
Ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. |
PLO-3 | Design/Development of Solutions: |
Ability to design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations. |
PLO-4 | Investigation |
Ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and interpretation of experimental data, and synthesis of information to derive valid conclusions. |
PLO-5 | Modern Tool Usage: |
Ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations. |
PLO-6 | The Engineer and Society: |
Ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems. |
PLO-7 | Environment and Sustainability: |
Ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development. |
PLO-8 | Ethics: |
Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. |
PLO-9 | Individual and Team Work: |
Ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings. |
PLO-10 | Communication |
Ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
PLO-11 | Project Management: |
Ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment. |
PLO-12 | Lifelong Learning: |
Ability to recognize the importance of and to pursue lifelong learning in the broader context of innovation and technological developments. |
Admission Requirements
- Higher Secondary School Certificate or equivalent with Pre-Engineering or Computer Science securing at least 60% marks in aggregate OR Diploma of Associate Engineer Examination in Electrical / Electronic and Computing securing at least 70% aggregate marks.
- Entry test and interview.
Program Duration
- This is a four years’ degree program comprising 8 regular semesters.
- There is a Fall semester and a Spring semester each year.
- Summer semester is utilized for internship or deficiency courses only.
- The maximum duration to complete the BE program is 7 years
Degree Requirements
Each candidate of BE (Computer Systems Engineering) is required to:
- Complete at least 135 credit hours with a minimum 2.0 of 4.0 CGPA.
- Complete a senior design project (SDP) during the fourth year of his studies.
- The student must complete at least 90 credit hours of coursework prior to registering for the SDP.
- Undergo a mandatory 6-8-week internship.
- The internship is usually taken after passing 60 credit hours. The internship is closely monitored by an internship coordinator. Successful completion of internship is a mandatory requirement for graduation.
Non-Engineering Courses
Knowledge Profile | Knowledge Area | Subject Area | Courses | Theory Credit Hour |
Lab Credit Hour | Total Credit Hour | Total Number of Courses (Subject Area) |
Total Number of Credit Hours (Subject Area) |
WK-7 | Humanities | English | English-I (Comprehension) |
2 | 0 | 2 | 3 | 7 |
English-II (Communication) | 2 | 0 | 2 | |||||
Technical Writing | 3 | 0 | 3 | |||||
Culture | Pakistan Studies | 2 | 0 | 2 | 2 | 4 | ||
Islamic Studies / Ethics | 2 | 0 | 2 | |||||
Social Sciences | Professional and Social Ethics | 3 | 0 | 3 | 1 | 3 | ||
WK-7 | Management Sciences | Entrepreneurship | 3 | 0 | 3 | 2 | 6 | |
Principles of Management | 3 | 0 | 3 | |||||
WK-1/ WK-2 |
Natural Sciences | Math | Calculus and Analytical Geometry | 3 | 0 | 3 | 5 | 14 |
Linear Algebra | 2 | 0 | 2 | |||||
Complex Variables and Transforms | 3 | 0 | 3 | |||||
Probability and Statistics | 3 | 0 | 3 | |||||
Numerical Analysis | 3 | 0 | 3 | |||||
Physics | Applied Physics | 3 | 1 | 4 | 1 | 4 | ||
Subtotal (Non-Engineering) | 37 | 1 | 38 | 14 | 38 |
Engineering Courses
Knowledge Profiles | Knowledge Area | Courses | Theory Credit Hour |
Lab Credit Hour | Total Credit Hour | Total Credit Hour | Total Number of Courses |
WK-2 | Computing | Introduction to Computing | 3 | 1 | 4 | 2 | 8 |
Computer Programming | 3 | 1 | 4 | ||||
WK-2/ WK-3 |
Foundation | Object Oriented Programming | 3 | 1 | 4 | 7 | 26 |
Discrete Structures | 3 | 0 | 3 | ||||
Data Structure & Algorithms | 3 | 1 | 4 | ||||
Database Management Systems | 3 | 1 | 4 | ||||
Data Communications & Networking | 3 | 1 | 4 | ||||
Operating Systems | 3 | 1 | 4 | ||||
Formal Methods in Software Engineering Engineering Drawing |
3 | 0 | 3 | ||||
WK-1/ WK-2/ WK-4/ WK-5/ WK-6 |
Breadth | Software Engineering | 3 | 1 | 4 | 8 | 34 |
Software Construction and Development | 3 | 0 | 3 | ||||
Design and Analysis of Algorithms | 3 | 0 | 3 | ||||
Software Project Management | 3 | 0 | 3 | ||||
Software Architecture | 2 | 1 | 3 | ||||
Software Quality Engineering | 3 | 0 | 3 | ||||
Human Computer Interaction | 3 | 0 | 3 | ||||
Information and Network Security | 3 | 0 | 3 | ||||
Software Requirement Engineering | 3 | 0 | 3 | ||||
Web Engineering | 3 | 0 | 3 | ||||
Operations Research | 3 | 0 | 3 | ||||
WK-1/WK-2/WK-3/WK-4 | IDEE | IoT | 3 | 0 | 3 | 3 | 8 |
Introduction to Embedded System | 3 | 0 | 3 | ||||
Quality, Health, Safety and Environment | 2 | 0 | 2 | ||||
WK-5/WK-6 | Depth | Depth Elective – I | 3 | 0 | 3 | 4 | 10 |
Depth Elective – II | 3 | 0 | 3 | ||||
Depth Elective – III | 3 | 0 | 3 | ||||
Depth Elective – IV | 3 | 0 | 1 | ||||
WK-6/ WK-7/ WK-8 |
Project | Final Year – I | 0 | 2 | 2 | 2 | 6 |
Final Year Project – II | 0 | 4 | 4 | ||||
WK-6/WK-7 | Industrial Training (summer) |
Atleast 6-8 week internship | 0 | 0 | 0 | 0 | 0 |
Subtotal (Engineering) | 39 | 28 | 93 | 28 | 92 |
Curriculum/Plan of Study
Semester – 1 (15 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS1210 | Introduction to Computing | 3 |
2 | CS1211 | Introduction to Computing Lab | 1 |
3 | CS1410 | Computer Programming | 3 |
4 | CS1411 | Computer Programming Lab | 1 |
5 | SS1100 | Freshman English | 2 |
6 | MG1XX0 | Islamic Studies/Ethics | 2 |
7 | SS1400/ SS1410 | Management Elective – I Principles of Project Managment | 3 |
15 |
Semester – 2 (18 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS1420 | Object Oriented Programming | 3 |
2 | CS1421 | Object Oriented Programming Lab | 1 |
3 | NS1240 | Pakistan Studies | 2 |
4 | SS2120 | Oral Communications | 2 |
5 | MT1140 | Calculus and Analytical Geometry | 3 |
6 | CS2620 | Discrete Structures | 3 |
7 | NS1240 | Applied Physics | 4 |
18 |
Semester – 3 (18 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS2510 | Data Structure & Algorithms | 3 |
2 | CS2511 | Data Structure & Algorithms Lab | 1 |
3 | CS3110 | Software Engineering | 3 |
4 | CS3111 | Software Engineering Lab | 1 |
5 | MT2210 | Linear Algebra | 2 |
6 | MT2300 | Probability and Statistics | 3 |
7 | SS2XX1 | Quality, Health, Safety and Environment | 2 |
8 | SS2XX0 | Professional and Social Ethics | 3 |
18 |
Semester – 4 (16 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS2230 | Database Management Systems | 3 |
2 | CS2231 | Database Management Systems Lab | 1 |
3 | CS3130 | Software Requirement Engineering | 3 |
4 | CS4121 | Software Construction and Development | 3 |
5 | MTXXXX | Complex Variables and Transforms | 3 |
6 | CS3170 | Design and Analysis of Algorithms | 3 |
16 |
Semester – 5 (17 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CE3240 | Data Communications & Networking | 3 |
2 | CE3241 | Data Communications & Networking Lab | 1 |
3 | CS3220 | Operating Systems | 3 |
4 | CS3221 | Operating Systems Lab | 1 |
5 | SS3130 | Technical Report Writing | 3 |
6 | CS3140 | Software Project Management | 3 |
7 | CS3120 | Software Architecture | 2 |
8 | CS3121 | Software Architecture Lab | 1 |
17 |
Semester – 6 (18 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS4119 | Web Engineering | 3 |
2 | CS3XX0 | Entrepreneurship | 3 |
3 | CS4180 | Software Quality Engineering | 3 |
4 | MTXXXX | Numerical Analysis | 3 |
5 | CS2420 | MDD IoT | 3 |
6 | CS4110 | Human Computer Interaction | 3 |
18 |
Semester – 7 (17 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | SS1420 | Operations Research | 3 |
2 | CS3XX0 | SE Elective-I | 3 |
3 | CS4XX0 | SE Elective-II | 3 |
4 | CS4122 | MDD Introduction to Embedded System | 3 |
5 | CS4150 | Final Year Project-I | 2 |
6 | CS4310 | Information and Network Security | 3 |
17 |
Semester – 8 (17 Cr. Hrs.) | |||
S. No. | Code | Course Title | Credit Hours |
1 | CS4XX0 | SE Elective – III | 3 |
2 | CS4XX0 | SE Elective – IV | 4 |
3 | CS4220 | Formal Methods in Software Engineering | 3 |
4 | CS4160 | Final Year Project-II | 4 |
5 | CS4XX0 | Entrepreneurship | 3 |
17 |
Total credit hour | 136 |
List of Electives
S.no | Electives | Credit Hour |
1 | Agent Based Software Engineering | 3 |
2 | Big Data Analystics | 3 |
3 | Cloud Computing | 3 |
4 | Deep Learning | 3 |
5 | Mobile Application Development | 3 |
6 | Machine Learning | 3 |
7 | Artificial Intelligence | 4 |
8 | Natural Language Processing | 3 |
9 | Semantic Web | 3 |
10 | Social Network Analysis | 3 |
11 | Computer Vision | 4 |
12 | Software Metrics | 3 |
13 | Systems Programming | 3 |
14 | Visual Programming | 4 |
15 | Real Time Systems | 3 |
16 | Data Visualization | 4 |
17 | Computer Graphics | 4 |
18 | Selected topics in Software Engineering | 3 |