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BSCS

Bachelor of Science in Computer Science (BSCS)

BSCS program at QU impart to the students necessary knowledge, skills and understanding to design, develop and manage computer infrastructures, networks, and software. Our BSCS program is a four year program and involves coursework that focuses on principles, applications, methods and theories that enable Information and Computing Technologies. Advance courses focus on teamwork through team projects that emphasize industrial applications and best practices.   General education courses further enriche student’s educational experience by providing him useful perspective on cultural, political, scientific and economic issues. At Department of CS, QU, students are exposed to mandatory supervised internship, laboratory studies and a senior thesis to fulfill practical experience requirements. Our program blends theory and applications of subject area to prepare students for myriad of computer science careers in industry, government, and academia.

Majors

Big Data Analytics

Data Mining

Cryptography

Department Contact Info

Bachelor of Science in Computer Science (BSCS)

Qarshi University 8-Km Thokar Niaz baig, Canal Bank Road, Opposite lzmir Town, Lahore- Pakistan.

+92-42-37499164-5
info@qu.edu.pk

Mon – Fri 9:00A.M. – 5:00P.M.

Social Info

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Scope
Objectives
Career Opportunities
Scheme of Study
Fee Structure

Computer Science graduates with strong computer science skills and management abilities can find career opportunities at various businesses and organizations. Our courses ensure that our graduates are familiar with software development and networked systems, with specific expertise in information security, networks and communications, intelligent systems, data-centric computing, or human-computer interaction. At the same time, they are able to apply their skills to mobile computing, artificial intelligence, robotics or large-scale information management. As computing becomes an integral part of almost all domains, computer science graduates with their computing analytical skills are able to have promising careers in medicine, law, education, physical and life sciences, social sciences, and the humanities.

 

Graduates of the undergraduate program in Computer Science are expected to attain the following objectives within a few years of graduation:

  • Succeed in their chosen profession by applying computational and analytical approaches of computer science to solve real world problems.
  • Successfully engage in life-long learning in cross-disciplinary domains such as bioinformatics, business analytics etc. 
  • Exhibit high professional ethical standards to become productive leaders in society.
  • Successfully launch themselves as young entrepreneurs enabling a knowledge based economy.
  • Progress through continuing education while pursuing advanced degree or certificate programs in computing, science, engineering, business, and other professionally related fields.

Computer science graduates get employment as members of ICT teams, software engineers, systems analysts, researchers, data analysts, and scientific or application programmers. Their employers include  internet based commerce and software based hi-tech industries, insurance, banks and financial institutions, computer and electronics manufacturers, communications industry, biomedical industry, defense industry, academia, research institutes, health service providers  and engineering firms. However, software and IT companies are the major employers of computer science graduates. They offer the best packages to the young graduates, which are unmatched with other branches of science.

Eligibility criteria: Intermediate or equivalent

BSCS Scheme of Studies

Semester 1

Serial # Course Name Credit Hours
1 English Composition and Comprehension 3(3+0)
2 Fundamentals of Financial Accounting (University Elective 1) 3(3+0)
3 Programming Fundamentals 4(3+1)
4 Calculus and Analytical Geometry 3(3+0)
5 Introduction to Computing 3(3+0)
6 Islamic Studies 2(2+0)
Semester Subtotal 18

 

Semester 2

Serial # Course Name Credit Hours
1 Applied Physics 3(3+0)
2 Technical and Business Writing 3(3+0)
3 Probability & Statistics 3(3+0)
4 Pakistan Studies 2(2+0)
5 Object Oriented Programming 4(3+1)
6 Discrete Structures 3(3+0)
Semester Subtotal 18

 

Semester 3

Serial # Course Name Credit Hours
1 Communication and Presentation Skills 3(3+0)
2 Introduction to Management 3(3+0)
3 Digital Logic Design 4(3+1)
4 Software Engineering 3(3+0)
5 Data Structure and Algorithms 4(3+1)
Semester Subtotal 17

 

 

 

 

 

Semester 4

Serial # Course Name Credit Hours
1 Information Security 4(3+1)
2 Database Systems 4(3+1)
3 Linear Algebra 3(3+0)
4 Computer Networks 4(3+1)
5 Design & Analysis of Algorithm 3(3+0)
Semester Subtotal 18

 

Semester 5

Serial # Course Name Credit Hours
1 Computer Organization & Assembly Language 4(3+1)
2 Numerical Computing 3(3+0)
3 Operating Systems 3(3+0)
4 Artificial Intelligence 3(3+0)
5                               Foreign Language 2(2+0)
6 IS/DS Specialization 1 3(3+0)
Semester Subtotal 18

 

Semester 6

Serial # Course Name Credit Hours
1 Theory of Automata 3(3+0)
2 Project Management 3(3+0)
3 Mobile Application Development 3(2+1)
4 IS/DS Specialization 2 3(3+0)
5 Differential Equations 3(3+0)
Semester Subtotal 15

 

Semester 7

Serial # Course Name Credit Hours
1 Final Year Project Part-I 3(3+0)
2 Theory of Programming Languages 3(3+0)
3 Parallel & Distributed Computing 3(3+0)
4 IS/DS Specialization 3 3(3+0)
5 Entrepreneurship 3(3+0)
Semester Subtotal 15

 

 

Semester 8

Serial # Course Name Credit Hours
1 Final Year Project Part-II 3(3+0)
2 Compiler Construction 3(3+0)
3 IS/DS Specialization 4 3(3+0)
4 Professional Practices 3(3+0)
            Semester Subtotal 12
 

Fee per Semester.

 

Admission Fee:

 

Rs. 15,000/-
(One time & non-refundable)

 

Security:

 

Rs. 5,000/-
(One time & refundable)

 

Miscellaneous*:

 

Rs. 2,000/semester

 

Semester Tuition Fee:

 

Rs. 65,000/semester

 

Registration:

 

Rs. 1000

BSCS Specializations

Total Credit Hours = 18+18+17+18+18+15+15+12 = 131

A) Elective courses for Data Science (DS) Specialization:

  • Introduction to Data Science
  • Big Data Concept & Techniques
  • Big Data Analytics
  • Data Mining
  • Machine Learning

B) Elective Courses for Information Security (IS) Specialization:

  • Cryptography and Network Security
  • Digital Forensics
  • Web Security
  • Information Security Goals, Strategies and Policies