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Programs Offered Programs Description Research Groups Industrial Advisory Board Societies and Extra Curricular Activities

Programs Offered

Bachelor Programs

  • Bachelor of Science in Computer Sciences (BSCS - Morning)

    BS program is fully accredited with HEC/NCEAC. Curriculum is also fully aligned with NCEAC guidelines and HEC undergraduate policy.

    • Duration: 4 Years (8 Semesters)

    • Eligibility Criteria:

    • as per AU admission rules which is fully aligned with NCEAC guidelines.

    Program Objectives (POs)

    • PO 1 Computing knowledge, skills, and creativity: Demonstrate computing knowledge and skills with a strong focus on innovation, entrepreneurship and life-long learning.

    • PO 2 Ethics and social responsibility: Have ethical and moral values along with a keen sense of social responsibility.

    • PO 3 Communication and Leadership Skills: Have effective communication skills required in the computing profession, as a team player or a leader for industry and society.

    Graduate Attribute (GAs)

    • GA 1: Academic Education: Prepare graduates having educational depth and breadth knowledge and prepare 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 to the abstraction and conceptualization of computing models from defined problems and requirements.

    • GA 3: Problem Analysis: Identify, formulate, research literature, 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 with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

    • GA 5: Modern Tool Usage: Create, select, adapt, and 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 in diverse teams and in multi-disciplinary settings.: An 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.

    • GA 7: Communication:Communicate effectively with the computing community and with society at large 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.ssss

  • Bachelor of Science in Computer Sciences (BSCS - Afternoon)

    BSCS afternoon program is replica of the BSCS morning program. It provides all essentials as provided to the morning program.

    • Duration: 4 Years (8 Semesters)

    • Eligibility Criteria:

    • as per AU admission rules which is fully aligned with NCEAC guidelines.

    Program Objectives (POs)

    • PO 1 Computing knowledge, skills, and creativity: Demonstrate computing knowledge and skills with a strong focus on innovation, entrepreneurship and life-long learning.

    • PO 2 Ethics and social responsibility: Have ethical and moral values along with a keen sense of social responsibility.

    • PO 3 Communication and Leadership Skills: Have effective communication skills required in the computing profession, as a team player or a leader for industry and society.

    Graduate Attribute (GAs)

    • GA 1: Academic Education : Prepare graduates having educational depth and breadth knowledge and prepare 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 to the abstraction and conceptualization of computing models from defined problems and requirements.

    • GA 3: Problem Analysis: Identify, formulate, research literature, 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 with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

    • GA 5: Modern Tool Usage: Create, select, adapt, and 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 in diverse teams and in multi-disciplinary settings.: An 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.

    • GA 7: Communication:Communicate effectively with the computing community and with society at large 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.

  • Bachelor of Science in Information Technology (BSIT)

    The basic intention of an academic Program in Computer Science is to develop the student’s critical professional thinking and intuition. The curriculum must be structured to provide a balanced mixture of theory and practical experiences at foundation and advance levels to make the graduate capable of sound professional decisions.

    • Duration: 4 Years (8 Semesters)

    • Eligibility Criteria:

    • as per AU admission rules which is fully aligned with NCEAC guidelines.

    Program Objectives (POs)

    • PO 1 Computing knowledge, skills, and creativity: Demonstrate computing knowledge and skills with a strong focus on innovation, entrepreneurship and life-long learning.

    • PO 2 Ethics and social responsibility: Have ethical and moral values along with a keen sense of social responsibility.

    • PO 3 Communication and Leadership Skills: Have effective communication skills required in the computing profession, as a team player or a leader for industry and society.

    Graduate Attribute (GAs)

    • GA 1: Academic Education : Prepare graduates having educational depth and breadth knowledge and prepare 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 to the abstraction and conceptualization of computing models from defined problems and requirements.

    • GA 3: Problem Analysis: Identify, formulate, research literature, 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 with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

    • GA 5: Modern Tool Usage: Create, select, adapt, and 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 in diverse teams and in multi-disciplinary settings.: An 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.

    • GA 7: Communication:Communicate effectively with the computing community and with society at large 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.


Master Programs

  • Master of Science in Computer Sciences (MSCS Evening)

    The Master of Science in Computer Science program provides students the opportunity to combine a sound foundation in Computer Science with concentrated knowledge in the latest developments in particular areas. The program provides preparation in the advanced principles and processes of computation and training in applying these principles in application areas in industry, science, government, and business. The program emphasizes on course work along with practical assignments and research project.

    Duration: 2 Years
    Eligibility Criteria:
    • 16 years education with minimum 130 Credit Hrs in relevant subject (Computer Science, Computer Engineering, Software Engineering or Information Technology.)
    • At least 50% marks or 2.00/4.00 CGPA
    • AU-GAT(Gen) at least 60% score OR NTS-GAT-C(Gen) at least 50% score or GRE (general) with minimum of 151 score in Quantitative Reasoning, 145 in Verbal Reasoning, and 3.5/6.0 in analytical writing.
    • Final interview

    The following core courses are to be completed before entering the MS (CS) program.

    • Analysis of Algorithms
    • Assembly Lang. / Computer Architecture
    • Computer Networks
    • Computer Programming
    • Data Structures
    • Database Systems
    • Operating Systems
    • Software Engineering
    • Theory of Automata

Ph.D Programs

  • PhD Computer Science (PhD CS Evening)

    18 years M/Mphil degree in computer science or relevant field with minimum CGPA 3.0 At least 60% score in GRE/NTS GAT (subject) or equivalent Air University Test with at least 70 % score

    The PhD in Computer Science program provides students the opportunity to combine a sound foundation in Computer Science with concentrated knowledge in the latest developments in particular areas. The program provides preparation in the advanced principles and processes of computation and training in applying these principles in application areas in industry, science, government, and business. The program emphasizes on course work along with practical assignments and research project.

    Duration: 3 Years
    Eligibility Criteria:
    • 18 years M/Mphil degree in computer science or relevant field with minimum CGPA 3.0 At least 60% score in GRE/NTS GAT (subject) or equivalent Air University Test with at least 70 % score.
    • GRE (general) with minimum 300 score (155 in Quantitative Reasoning, 145 in Verbal Reasoning, and 3.5/6.0 in analytical writing).
    • Final interview

    The following Elective courses are to be completed before entering the PhD (CS) program.

    • Analysis of Algorithms
    • Assembly Lang. / Computer Architecture
    • Computer Networks
    • Computer Programming
    • Data Structures
    • Database Systems
    • Operating Systems
    • Software Engineering
    • Theory of Automata

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